THE COMING BUSINESS REVOLUTION OF EDGE COMPUTING AND COLOCATION

Even as we speak a quiet business revolution is unfolding that is being driven by colocation provider solutions and the reality of edge computing. The move to edge computing will work in concert with the coming 5G networks and the colocation data center to enable dynamic content, such as that from IoT devices, mobile data, over-the-top (OTT) video, streaming media and more.

This revolution is unfolding today and tomorrow as edge computing takes hold within tier 1, 2 and 3 cities across the globe. According to a 2017 SDxCentral edge computing survey, 40 percent of respondents expect to see mainstream adoption of edge computing and multi-access edge computing (MEC) in the next two to four years or sooner. But what are the business benefits of edge computing?

The goal of edge computing is to shorten the physical distance between sensors, data analytics applications and the end-users of the processed data to improve the experience for end users and customers. Edge facilities make greater bandwidth and lower latency beyond first tier cities possible while improving disaster recovery and security.

SMBs in the digital age operate globally, so these benefits are more vital than ever. SMBs that partner with a colocation provider that has connectivity to edge data centers also benefit from the support of a skilled services team to ensure the right technology and pathway setups.

Leading colocation data center providers like Telehouse will play a big part in edge computing and 5G’s ability to enable heavy bi-directional traffic for connected devices and systems for SMBS and startups via broad colocation and provider connectivity for edge computing to second- and third-tier cities. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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HOW DOES INTERNET EXCHANGE WORK

It can be argued that without the affordability of access to an internet exchange and its resultant interconnection, businesses cannot hope to make the most of digital transformation.  While we’ve briefly discussed how an Internet exchange point (IXP) works in past blogs, let’s take it a step further and get deeper into how it works as it applies to serving your business in the digital age.

In the bigger picture, internet exchange point locations are where Internet infrastructure companies such as Internet Service Providers (ISPs) and CDNs connect with each other. These network edge locations enable providers to share transit outside their own network. Individual companies that join an IXP benefit by having a shorter path to their internet destinations in the form of other networks, which reduces latency, round-trip travel time and overall costs. That explains what they do, but how do they work?

Closer inspection shows that internet exchange points are made up of large Layer 2 LANs built with ethernet switches interconnected across one or more data centers. Member companies share the cost of physical infrastructure maintenance and benefit by being able to connect with each other and avoid the costs of sending traffic across third-party networks that charge for the transport.

While an internet exchange point can have peak traffic exchanges from 10 Gbps into the Terabits per second range, their size is not as important as their stated goal of ensuring that their network routers are able to connect efficiently and seamlessly. Independent of size, their primary goal is to make sure that many networks’ routers are connected together cleanly and efficiently. The main purpose of this connection is to avoid the prohibitive costs associated with connecting to all of the different ISPs across the country or the globe. Click here to visit source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Meeting Data Center Needs for Asian Market Growth of LA-based Businesses

Today, access to a Los Angeles data center plays a major part in one of the largest business markets for startups in the nation. The diversity of business sectors in need of colocation data centers in the LA metropolis is much broader than technology, media and communications. In Los Angeles, colocation needs cut across every sector with many having a common underlying need for global data access and storage in Asian markets. In fact, the leading Los Angeles Data centers have become the Asia market gateway for many businesses in the region that are poised to operate globally.

The idea of data centers in Los Angeles as a gateway to Asian markets is about US business market expansion as well as the large number of businesses with an expanding foothold in both markets. Today, a growing percentage are already operating in ways that require some form of global colocation services. Many of these businesses are startups that partner with larger enterprises in the LA area to take advantage of globalization in numerous ways where colocation will play a part.

There’s a large shared and untapped opportunity between American businesses and their Asian counterparts. As companies on both sides of the Pacific pursue new business opportunities, a strategic Los Angeles data center as well as those in the Asian market will be a requirement.

Japan and Los Angeles for example have strong cross-business ties with satellite offices, divisions, and workforces that must stay connected to data and applications while operating on both sides of the Pacific. In both cases, shared needs are broad for superior colocation services where connectivity, exchanges, carrier neutrality and class-leading facility design are imperative. Another tie is the need for disaster recovery where both markets have a history of seismic activity capable of disrupting businesses without data center facilities that are designed for those possibilities.

When it comes to the data center, Los Angeles businesses need superior colocations service in the metropolis as well as throughout Asia. With the undeniable growth potential of Asia-Pacific markets, more US businesses across all sectors are looking to take advantage of those opportunities, and LA is at the forefront.

An LA Incubator article discussed the recent trade mission to Asia by LA Mayor Eric Garcetti with stops in Vietnam and Hong Kong where he met with high-level government officials and business leaders to spur economic growth in Los Angeles. While this mission focused on green market energy production companies, it shows how numerous LA and Asia ancillary businesses will grow from the opportunity. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Fault Tolerance and Fault Avoidance: Looking Beyond Data Center Tiers

As the general argument goes, the fault tolerance of a tier 4 data center may be overkill for all but the most mission-critical applications of the largest enterprise. When it comes time for a business to decide, maybe the perspectives should shift to the equal need for fault avoidance.

According to the accepted Uptime Institute standard, tier 4 data center specifications call for two parallel power and cooling systems with no single point of failure (also known as 2N). While this level of fault tolerance often comes at a premium price, many enterprises see the security, reliability and redundancy as being worth it to ensure the drop in potential downtime over a tier 3 data center.

This single point of failure for any and all components is certainly nothing to scoff at when it comes to the performance of the computer equipment. Knowing that a planned approach to anytime compute component removal that foregoes compute system disruption is a major plus. But even with the understanding that comes from reading a comprehensive data center tier level guide, it becomes apparent that thinking should go beyond the tier levels to a colocation data center’s ability to provide fault avoidance.

Fault avoidance is all about the fact that many complications that lead to data center downtime can be prevented with equipment and systems monitoring, a proactive trained staff with thorough procedures, and strict maintenance protocols. In other words, fault tolerance while important is reactive where fault avoidance focuses on prevention, which is equally important.

Whether it is a tier 4 data center or a tier 3 data center, enterprises should be looking closely at these other fault avoidance parameters and systems. For instance, does the facility utilize a sophisticated and proven building management system (BMS) and building automation system (BAS)? These crucial systems allow operators to monitor systems for health status of data center equipment through gathered equipment sensor data for real-time insights. The collected data can then be used to deliver an automated response or direct proactive technician intervention.

Since we have yet to reach the ideal of the truly automated data center, highly skilled operations teams must work in tandem with the systems to anticipate problems before they occur and quickly troubleshoot issues when they do arise. Visit source for more details.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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The Essential Role of Colocation Data Centers for IoT and Big Data

For startups and enterprises, data center colocation has become a major part of the business in the digital age where IoT is ubiquitous across every sector and big data is now just data. The main reason for this is that for most businesses, the IoT frameworks goes far beyond the reach of the local data center with an ever-expanding network edge of sensors that stretch across a city and even the world.

Big Data’s impact on the data center is far reaching since achieving low cost and low latency application performance is imperative with IoT-driven businesses. This is especially true as more and more of this IoT data processing is getting pushed out to the edge to get as close as possible to the source sensors and end-users of the resulting data analytics. Consequently, today’s data center colocation providers can offer the best means for filling the gap in IoT’s edge computing landscape while offering a cost-effective means for managing, storing, and organizing big data.

While the cloud is also a major part of that IoT/big data world, businesses require the means for gaining instantaneous access, fast data transport, and needed compute resources that are reliable. Of course, technology and cost needs associated with moving massive amounts of data into the cloud is not the best strategy when latency and accessibility are driving IoT and big data for a business.

Effective IoT and the resultant big data being delivered from sensors require the shortest possible distance between sensors, data analytics applications, and the end-users of the processed data. Data center colocation providers can effectively serve IoT framework needs by delivering an abundance of options including major cloud providers and broad peering options among others.

Colocation becomes the most efficient and flexible means to manage and analyze the enormous amounts of IoT sensor data for factories, supply chains, power grids, distributed products and even cities. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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The Benefits of Data Center Network Flexibility with NaaS

Enterprises are well aware of the benefits of a Tier 3 data center as part of a secure and agile hybrid and multicloud strategy that ensures uptime, flexibility, and cost containment. But today, as more enterprises are seeing the need for diverse cloud connectivity to meet application access demands, network as a service (NaaS) is playing a part in expanding that scope.

There are a number of benefits that come from (NaaS), but chief among them is its ability to provide enterprises with the means for on-demand provisioning and management of the network. This drives efficient expansion, management and cost containment by providing variable network connectivity to adapt to network load requirements. This level of network flexibility as part of a cloud strategy makes it easier for businesses to add and reconfigure resources quickly and meet fluctuating network transport needs based on real-time utilization.

Data centers like Telehouse New York that partner with NaaS providers can deliver connectivity options into an SD-WAN framework that is managed by the service provider. By enabling network management and provisioning via a web interface, enterprises can lower the growing costs of management and configuration hardware through the service provider’s SD-WAN software.

These services add a great deal of value to enterprises that require Tier 3 data center services.

The variable network connectivity for both the cloud access and cloud backbone networks of NaaS becomes equally important to the power redundancy and added security benefits of Tier 3 data center specifications. According to the 2018 TechTarget IT Priorities survey where 42% of respondents are using cloud-based SaaS offerings, streamlined network management and monitoring have become a priority.

The ability to partner with a Tier 3 data center that can enable true connectivity flexibility via a cloud access network that enables workload bursting and balancing via NaaS helps keep costs in hand while enabling organizations to tailor network and workloads for peak efficiency and performance.

As a result, in-house data centers can be seamlessly connected to collocation or managed services facilities and to on-demand cloud data centers for a multi-site, hybrid data center model. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Meeting Business Needs for Deep Learning in the Modern Data Center

With a data center in Los Angeles as well as other major metropolitan centers, Telehouse must stay at the forefront of the methods in which AI and deep learning neural networks are shaping the data center needs of the present and future. As the use of AI in the data center becomes more prevalent, the number of enterprise and hyperscale data centers that utilize AI and deep neural networks (DNNs) for massive amounts of data are growing.

Leveraging neural networks is increasingly seen as a fundamental part of digital transformation. It’s growing prevalence can be seen in a recent Information Week article explaining how it is being applied in marketing, retail, finance, and operations management across almost every sector.

Because neural networks use vast amounts of data, they require servers capable of extreme amounts of data computations in record time. Consequently, GPUs designed to enable this level of computational speed and volume are quickly being developed and adopted by data centers around the world.

Data centers that support these new high-performance GPU-based servers can deliver greater efficiency and performance and use less power for advanced workloads while decreasing the data center footprint and power consumption needs. For example, Nvidia’s new single server capable of two petaflops of computing power does what currently takes hundreds of servers networked into clusters. The leading GPU developer’s DGX-2 system is aimed primarily at deep learning applications.

While hyperscale data centers have been the traditional users of neural network-focused GPUs, collocation providers are increasingly partnering with major cloud providers that make this capability part of their offering. They can then offer this capability in their data centers for clients in need of providing their developers with cloud infrastructure services that enable them to build AI features into their own applications. This use is prevalent for companies that are in need of High Performance Computing (HPC) for big data.

The use of cloud hardware in the data center that is designed for neural-network training and inferencing continues to accelerate with Microsoft using FPGAs to accelerate these workloads. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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How Blockchain Technology is Transforming the Data Center Infrastructure

Even though cryptocurrency is still a controversial discussion topic, there seems to be a consensus that blockchain, the technology behind cryptocurrency, is revolutionary. Companies like Google and Goldman Sachs are actively investing in blockchain firms. So data centers and cloud hosting services need to prepare themselves to serve the requirements of these new blockchain-based companies. These businesses will need a lot of data center resources and cloud management services in the coming years.

Blockchain: A Simple Introduction

The journey of modern blockchain started with a 2008 white paper called Bitcoin: A Peer-to-Peer Electronic Cash System. The paper described a form of digital cash that can live on a distributed network without any centralized authority. The blockchain is the technology that supports this system.

A blockchain is basically a distributed digital ledger or database. The whole network contributes to its creation and maintenance. So there is no central authority who can manipulate the blockchain.

In a blockchain environment, when two parties have a transaction, they advertise it to the network. Various network nodes pickup multiple transactions and organized them into blocks. Then miners use their computers to add this block to the ledger or blockchain.

Miners need a lot of computing power to add the blocks to the blockchain because each block comes with a mathematical puzzle attached to it. Solving this puzzle takes computing resources. Miners are interested in this task because they are rewarded with tokens for adding a block to the blockchain.

The blockchain is an important technology due to its implications for business transactions. Before blockchain, a trusted third-party like a bank or a government institution was the only way to guarantee the integrity of a transaction between two parties. Blockchain eliminates that need. It opens up the possibility for business transaction between parties across the world. Strangers can transact with each other across countries and borders without the help of any financial or government institutions.

Blockchain-related Concerns for Data Center and Cloud Hosting Companies

The rise of blockchain technology means data center and cloud management services have to adjust to the changing realities on the ground. Here are some issues that data center managers should be aware of:

Elevated Demand for GPUs

Miners provide the computing power for blockchain cryptographic calculations. As the popularity of cryptocurrencies and blockchain-based applications increase, there will be more demand for computing power.

Data managers should be aware that blockchain-based calculations are best performed on graphical processing units (GPUs). AMD and NVIDIA graphics card prices have surged due to the rise in blockchain-based applications. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Neural Networks: How Data Centers are Catering to Future Demands

The progress of neural network algorithms is ushering a new age of artificial intelligence (AI) applications. Both machine learning and deep learning disciplines of AI use neural networks. The increase of these algorithms have implications for your data centers. Whether you have a data center in Los Angeles or Tokyo, your facility needs to be able to meet the server and network requirements and handle the extra workloads.

Basic Understanding of Neural Networks

The inspiration for artificial neural networks is the human brain. The brain has billions of neurons. The neurons communicate with each other and create complex decision trees. The human cognitive ability is the result of these decision trees. As a human being learns new things, new neurons are created and new connections are formed.

Artificial neural networks follow the same principle. To form an artificial neural network, data scientists feed training data to machine learning or deep learning algorithms. These algorithms use the known data to form neural networks. In other words, the algorithms use the input data to learn.

Suppose, you need a neural network that can recognize cats. In a machine learning scenario, data scientists will create a model and then feed the model with known cat images, also known as training data. Each node or neuron of the model would represent a particular quality and a certain weight. During the training process, the algorithms will recalibrate the weights of the nodes to improve the accuracy of the overall neural network results.

Depending on the complexity of the task, it can take a few hours or it can take days to process the training data and create a functioning artificial neural network. Computer processing power plays a vital role in forming these networks.

Changing Landscape of Data Centers due to Neural Networks

Neural networks are affecting data centers in two ways. It’s creating new requirements for data centers to serve AI-based applications. Also, AI-based applications help data centers optimize their own services. Here are some pointers to prepare for the future:

Rising Demand for GPU-based Processing

Any data center looking to attract AI-related businesses need to understand the importance of GPU-based processing in neural network applications. Visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Transforming Your Business to More Digital Capable and cloud Consumable Applications and Services

The cloud landscape continues to evolve as businesses move to multi-cloud approaches for developing, deploying and delivering applications. This mix of public, private, on-premises, off-premises, cloud interconnects, and SaaS creates a number of strategy and implementation challenges. By partnering with managed IT services, New York businesses as well as those around the globe are finding ways to mitigate those challenges.

Though the needs of each business and the paths may be slightly different, they all can deliver cloud consumable applications and services needed by a digital capable business. The shared goal is to take advantage of all available options to efficiently, flexibly and cost effectively deliver a growing portfolio of applications and services. These managed services solutions enable efficient application management across providers and models.

The leading managed services providers can deliver all connectivity solutions as well as access to a huge list of cloud providers. This helps businesses develop a detailed approach to their digital operational and customer facing capabilities.

The first step is to start with business goals that inform decisions about application and services migration, placement, management and monitoring. These managed services solutions will provide a centralized ability to weigh costs, access, security, compliance and myriad other factors to come up with an answer across all the varying cloud formations.

Data center managed services provide end customers with access to:

• IT expertise for engineering, management and monitoring of assets and environments via best practices that support ad hoc and ongoing needs
• New skills and solution provider resources across infrastructure, technical management and cross vendor application management

Application access and uptime is critical to every business, so monitoring becomes an important component to cloud data center operations.

Source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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3 Reasons Why You Should Adopt Hybrid Cloud Strategies

The public cloud was once hailed as the premier option for unlimited, accessible data storage. However, on-premise private cloud solutions still offer better security, speed and control – especially when managing private data. Find out why hybrid cloud strategies are the best way for companies to enjoy the benefits of both private and public cloud storage – and how colocation service providers support such needs.

Workflows and Partnerships

Colocation facilities can support the collaboration benefits of a hybrid cloud strategy in multiple ways. Foremost, tenants in a colocation service provider can securely access one another’s applications and data upon mutual request. This creates a safe space in which to collaborate, expanding each businesses capabilities in a secure way that wouldn’t otherwise be achievable.

Another benefit of hybrid cloud models is that they offer decreased latency, which is the length of delay between a service and a request. Latency is often improved when cloud servers are geographically closer to the request source, as the request has a shorter distance to travel. Since a colocation service provider allows companies to store their private cloud in a nearby location, this can help increase latency when the public cloud isn’t as fast. In turn, this helps increase workflows by speeding up requests.

Security, Control, and Colocation Service Provider

Today’s businesses are seeking increased flexibility in data management without having to sacrifice high-stakes security. This is especially true for the healthcare, finance and retail industries, which often have certain compliance regulations regarding how and where data can be stored.

Although these companies can’t store such data on the public cloud, they often still need access to applications and tools that are available only on the public cloud. Data center colocation providers are a great solution to these security and accessibility needs because they keep private patient and customer information secure while meeting strict requirements. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Understanding The Role of Artificial Intelligence in The Data Center Industry

The amount of global data being stored, processed and managed continues to grow exponentially each day. In turn, artificial intelligence is playing a pivotal role in helping data center service providers capture, process and analyze this data at a faster and more powerful rate than ever before. From automated monitoring systems to advanced energy savings, here’s how artificial intelligence is improving the operations and efficiency of global data centers.

What Artificial Intelligence Means for Data Center Service Providers

Artificial intelligence isn’t a new concept, and tools like face detection and voice recognition already play a major role in our daily lives. Strava, Inc. Staff Engineer Drew Robb adds that object identification, classification, and other forms of geographic and identity detection are leading AI uses in the enterprise market.

All of these applications place an increased strain on data centers because they require increased data storage and processing in order to run. Managing this immense increase in data requires that the data center industry scale, adapt, and acquire more computing power. Artificial intelligence enables the data center service provider to meet such demands in a variety of ways, including operational automation, elastic computing power and predictive maintenance.

Improving Data Center Efficiency

Increased data processing requires that data centers keep hardware cool. With more data to process and hardware working harder, however, this drives up energy costs and increases the overall resource footprint of data centers.

Fortunately, machine learning is playing a vital role in helping companies understand their data center energy consumption. As explained in Datacenter Dynamics, artificial intelligence is being used to analyze temperature set points, evaluate cooling equipment and test flow rates. The use of AI-powered smart sensors can receive data from numerous sources and relay that information as environmental, electrical and mechanical insights. In addition to detecting sources of energy inefficiencies, machine learning can also be automated to make informed decisions that reduce data center energy consumption and cut costs.

Software solutions business manager Stefano D’Agostino adds that, “innovative startups are using intelligent machines with self-learning algorithms to optimize the allocation of the IT load itself so that optimal cooling can be achieved.” The benefits of such technology is already being realized, and statistics from The Data Center Science Center show that advancements in UPS efficiency and cooling energy losses have helped ordinary data centers cut physical infrastructure costs by 80% over the last decade.

This shows that, even though artificial intelligence technology is partly responsible for an increase in data center processing, it can also be used to mitigate its own increases in energy consumption.

Strengthening Data Center Security

In addition to improving energy efficiency, AI can also improve security of a data center. New York businesses rely on Telehouse because we’re committed to proactively managing customer data and reducing security risks wherever possible. We’re also tuned in to the latest advancements in AI security applications, which can screen and analyze data for security threats at a more thorough and rapid rate. AI can also help assess normal and abnormal patterns, detect malware and spam, identify weak areas and strengthen protection from potential threats.

Detecting and Reducing Downtime
Another way that artificial intelligence can influence the modern data center service provider is through improved outage monitoring. In fact, AI monitors have the ability to predict and detect data outages before they even occur. They also have the ability to track and detect server performance, disk utilization, and network congestions.

Today, artificial intelligence offers advanced predictive analytics services that make it easier and more reliable to monitor power levels and potential trouble areas. Click here to visit original source....

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Solutions for Disaster Recovery that Protect Smart Cities

Based on a statement from Gartner, a technology research and advice firm, there are roughly 2.3 billion connected things smart cities such as New York, Tokyo, and London use. Compared to 2016, that number represents a 42 percent increase. Soon, smart cities will be the catalyst behind an economic boom and improved quality of life for people living in them.

As the backbone of smart cities, it is imperative that data centers and colocation sites have the right disaster recovery solutions in place. Not only will this ensure flawless connectivity and top data security but also public health and safety.

To streamline city services, smart cities rely on rich data in real time. Software, hardware, and geospatial analytics can improve on livability and municipal services. With enhanced sensors, the Internet of Things (IoT) can reduce the amount of energy consumed by street lights and preserve resources by regulating water flow.

Due to the location of many smart cities, as well as other potential risks, disaster recovery cloud services are vital. Disaster recovery providers protect power and communication caused by power outages, floods, and even cyber attacks. To continue reading and visit source click here.

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Benefits of Integrating the Cloud and AI

There are many benefits of integrating the Cloud and AI. As for AI, it touches every industry around the globe. As part of this technology are machine learning, deep learning, computer vision, and natural language processing (NLP), which give computers faculties that mimic humans such as seeing, hearing, and even deductive reasoning.

Many enterprises need to process a tremendous amount of data efficiently, quickly, and accurately. Therefore, they depend on AI-capable colocation data centers. The need for enterprise AI applications is growing so fast that one research company predicts revenue will reach the $31 billion mark within the next seven years.

For predictive analytics programs, the top industries include education, health care, financial, and telecommunication. The goal is to target new business opportunities and improve the customer’s experience. A perfect example is a bank that uses an AI system for tracking information about credit card transactions. With pattern recognition, this bank can identify fraudulent acts.

A Unique Relationship

Cloud computing facilitates much of the progress in AI and machine learning. With massive data to analyze, Cloud computing is now more critical for delivering AI solutions. Along with prominent Cloud platforms such as Google and Microsoft, several smaller ones are integrating AI technologies.

With a unique relationship, the Cloud delivers data learned by AI systems. At the same time, AL provides information that expands the data available to the Cloud. For improving storage, computing, and other Cloud services, AI will become even more critical than it is now.

Data center colocation providers and the Cloud work like a well-oiled machine. Data center colocation services will continue to provide an infrastructure strategy for a host of companies, while AI will keep integrating with the Cloud, which will increase the need for colocation services.

Telehouse CloudLink, a connectivity exchange for customers with multiple Cloud providers, guarantees a safe and private connection between company networks and Cloud services.

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Data Center/ AI Stories You Might Have Missed Last Year

The rapid progress of artificial intelligence (AI) is impacting the global data center industry in multiple ways. Colocation service providers are looking at ways to use artificial intelligence for energy efficiency, server optimization, security, automation, and infrastructure management. As an owner of data centers in New York, Los Angeles, Paris, and other prominent global locations, Telehouse is interested in the advancement of AI in the global data center space. Here are some stories that captured our attention last year. We think these stories will have far-reaching impact.

Data Centers Get AI Hardware Upgrade from Big Hardware Manufacturers

The hardware market for AI-based applications is heating up. Intel, AMD, Microsoft, Google, ARM, and NVIDIA have announced their own specialized hardware targeted at artificial intelligence. Intel unveiled its Nervana Neural Network Processor (NNP) family of chips specifically designed for AI applications in data centers. AMD’s EPYC processor with 32 “Zen” cores, 8 memory channels, and 128 lanes of high-bandwidth I/O is also designed for high-performance computing. Microsoft is experimenting with Altera FPGA chips on their Azure Cloud to handle more AI processing.

Google’s announcement of Tensor Processing Unit (TPU) on the Google Cloud Platform probably received the most press. TPU is optimized for TensorFlow, the open-source application for machine learning. NVIDIA’s graphics cards are already in big demand for machine learning applications. But it has unveiled the Volta GPU architecture for its data center customers.

ARM processors are generally known for their use in low-power mobile devices. But it is taking a stab at the Data Center AI market with two new offerings: Cortex A-75 and Cortex A-55.

With the big names in the hardware industry fighting for dominance, global data centers will have a plethora of hardware choices for AI applications.

Personal Assistants Are Driving the Demand for AI Processing

Amazon Alexa, Google Assistant, Apple Siri and Microsoft Cortana are competing with each other to gain the next-generation of users. As more people start using voice queries and personal assistants, it is changing the dynamics of internet search. The change is significant enough to threaten Google’s dominance. If future users move to voice for daily searches, Google has to rethink their advertising strategy. The winner of the personal assistant battle can end up owning the future of e-commerce.

Artificial intelligence is the backbone of the personal assistant technology. According to a Consumer Intelligence Research Partners (CIRP) survey, Amazon has sold more than 10 million Alexa devices since 2014. Because the personal assistant market is lucrative, innovative startups will try to disrupt the space. And these newcomers will require massive data centers to handle their AI processing needs. As the number of related devices and applications proliferate, the need for global data centers with AI capabilities will also increase.

Big Basin and Facebook

Facebook’s do-it-yourself (DIY) approach to AI hardware might become the model for colocation service providers. Facebook uses artificial intelligence for speech, photo, and video recognition. It also uses AI for feed updates and text translations. So they need hardware that can keep up with their increasing AI requirements.

Big Sur GPU server was Facebook’s first generation AI-specific custom hardware. It was a 4U chassis with eight NVIDIA M40 GPUs and two CPUs with SSD storage. Facebook learned from their experimentation with this hardware configuration. They took that learning and used it to build the next-generation Big Basin architecture. It incorporates eight NVIDIA Tesla P100 GPU accelerator and improves on the Big Sur design. The added hardware and more modular design have given Big Basin a performance boost. Instead of 7 teraflops of single-precision floating-point arithmetic per GPU in Big Sur, the new architecture gets 10.6 teraflops per GPU. Continue reading.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Telehouse Introduces Data Center Robotics

The term “robot” translates in Czech to “hard work” or “drudgery.” With advances in technology, data center colocation services include robotics as part of specialized applications that reduce human labor. Primarily, data center colocation providers deploy robotics to enhance efficiency. Facing fierce competition, businesses continually search for ways to make their infrastructures less expensive and agiler. Robotics reduce IT staff, which ensures greater monitoring accuracy and improved security.

Both EMC and IBM currently rely on iRobot Create, which traverses data center colocation facilities to check for fluctuations in temperature, humidity, and system vibrations. After the robot scours a data center colocation site for the source of vulnerabilities, like cooling leaks, it gathers data for processing through a Wi-Fi connection. An algorithm converts the data into a thermal map so that managers can identify anomalies.

Still in the concept phase, PayPerHost is working on Robonodes, which would replace a failed customer server or storage node. Sony and Facebook rely on robotic units as part of Blu-ray disc-based media storage archives. Overall, robotics help businesses mitigate the footprint of data center managed services while simplifying infrastructure.

Telehouse is responding to the increased demand for cloud computing and technological advances. Someday, data center resilience and archiving efficiency will improve due to more robust systems, automation software, and intense planning.

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Algorithms: Smart Yet Slightly Frightening

In smart cities, as well as data center and colocation facilities, algorithms play a critical role. Algorithms are the reason computer operating systems exist and, therefore, the World Wide Web and Google. For a colocation provider, algorithms make it possible to provide customers a safe and reliable service.

Algorithms also help transform Big Data, initially converting it into analytics and then into an action. Colocation service providers are at the heart of smart cities, with algorithms assisting Data Center Infrastructure Management (or DCIM) tools in predicting cooling problems.

Load balancing algorithms are critical for colocation services, distributing application or network traffic across servers, thereby making them more efficient. There are also smart storage algorithms that process rich media requests, including videos, and cut energy consumption for enterprise-level storage area networks by as much as 50 percent.

In unimaginable ways, algorithms impact both personal and professional lives, which is exciting, yet somewhat unnerving. As an increasing number of businesses adopt and enhance digital solutions, there is a strong chance of seeing more colocation service providers relying on algorithms for storage, computing, and networking.

For organizations with business-critical data, Telehouse provides superior colocation services with 48 data centers worldwide. Ultimately, business owners have peace of mind thanks to high security, redundant power, and flawless interconnection to virtually hundreds of service providers.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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