Connect with us

Featured

AI gives birth to next generation of data centres

Published

on

By Ian Jansen van Rensburg, VMware EMEA Senior Systems Engineer

The Rise of AI

Artificial intelligence has rapidly become a leading driver of innovation, creating competitive advantages and new business opportunities. The proliferation of data is enabling breakthroughs across disparate industries, from transportation and healthcare to energy and communications. However, one of the most profound AI-mediated transformations will occur within the world of enterprise technology.

Based on our extensive experience within the enterprise tech stack, we see three core factors that have created the perfect storm fueling today’s AI innovation:

1.    Compute (The Need for Speed): From CPUs and GPUs through FPGAs and ASICs, computing resources have made incredible progress in the past few years, allowing us to process data more quickly, more broadly, and more deeply than ever before. In addition, new deployment channels (such as public cloud GPUs/ASICs) allow customers to balance Capex versus Opex in their AI initiatives.

2.    Algorithms (The Modern Day Equation): Algorithms are the theoretical foundation underlying machine learning and AI, from simple neural networks to more complicated recurrent and convolutional architectures. Many of these algorithms trace back decades — yet have only recently led to applied breakthroughs. This is partially due to the advances in Compute, but even more so, because of…

3.    Data (Data Is the New Oil): Machine learning techniques are famously data-inefficient, compared to humans. Many of the headline advances in AI performance, such as AlphaGo, are trained on enormous data sets that no human could see in an entire lifetime. Without sufficient training volume, machine learning techniques fail to reach acceptable performance levels. And as recently as a decade ago, the quantity of enterprise data available for machine learning was a tiny fraction of what is available today, from logs and metrics to traces and configuration events.

The AI Opportunity: Self-Optimizing Data Centers

This explosion of operational data is both a blessing and curse. In the current world of data center and cloud operations, companies are desperately trying to keep up with the flood of raw information, and falling further behind each year. The volume of data has outpaced currently available tools and platforms, placing an increasing burden on human operators – even feature developers – to keep up.

In fact, a recent report by EMA cites that an average of 30-40% of developer time is spent on production deployment, configuration, testing, debugging, and support challenges rather than feature development (Source: EMA blog – 3 Key Lessons from DockerCon 2018: Strategic Analysis of the Container Market Place). This operational ‘tax’ is unacceptable for firms in competitive industries where feature velocity is a key driver.

AI will allow companies to transform this operational burden into a strategic advantage. It will enable firms to move to a global operations model where they can leverage the deep value of their data, resulting in real-time insights that drive business value. AI will fill the void between operational complexity and operational capability. Some common uses where companies can leverage AI to improve their data centers include improved operational efficiencies, real-time cost-performance balancing, security, and even business metric optimization.

Don’t fight the data deluge – embrace it.

The increase in operational complexity won’t be slowing down anytime soon. The gap between human scale and machine scale continues to grow. Organizations that are not able to augment their data center, cloud, and edge computing strategies by adopting AI technologies will risk falling further behind. Conversely, organizations that are able to effectively leverage machine learning will build a significant competitive edge.

We envision a hybrid data center, cloud, and edge that is self-healing and self-optimizing, greatly reducing administrative overload and allowing firms to focus on strategic innovation and customer experience. We also believe that an AI-enabled infrastructure will deliver degrees of self-regulation well beyond today’s policy-based capabilities.

What Next?

Preparing your data center for the modern world is not a trivial task. Start by future-proofing your data center as groundwork for the AI-driven approaches that are coming around the corner. For example, on the control surface, that means adopting infrastructure-as-code (IAC) patterns, as well as intermediating legacy manual processes with APIs where possible. As for the data, consider implementing edge computing, which enables data gathering and analytics to occur near the source of the data. Companies should also invest in software-defined infrastructure as a key enabler of this process. Last, but certainly not least, explore a multi-cloud strategy to offer the most agility and flexibility to your IT infrastructure as you prepare for the high-velocity, machine-learning-driven future.

Continue Reading
Click to comment

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Featured

Google announces its ‘Netflix for gaming’

The new gaming platform, Stadia, promises high-definition gaming on TVs, computers, and mobile devices, writes BRYAN TURNER.

Published

on

Google has announced that it has moved into the gaming space, and it focuses on two big aspects of gaming: streaming of games for gamers, which will allow gamers to game anywhere with a fast, low-latency Internet connection; and audiences that watch gamers in-game.

This is a big move in making gaming accessible to more gamers, as it reduces hardware costs, by utilising the benefits of low-latency cloud computing. This will be achieved by using a globally connected network of Google data centres. Gamers who stream games are most likely already using a high-speed, low-latency Internet connection, so access to the Stadia platform will be an added expense.

Through the Stadia platform, gamers will be able to access a large library of games at all times, with no installation time, on virtually any screen. Scaling of hardware like CPU, GPU, memory, and storage is also possible, as one would for cloud server resources.

Google will be leveraging its other platforms, like YouTube, with Stadia streaming. It claims that 200-million people are watching game-related content daily on YouTube. This allows, for example, Stadia players to jump in with other Stadia players – no downloads, no updates, no patches, and no installs.

For console players, Google has designed a custom controller.

The controller was designed to establish a direct connection from the Stadia controller to Google’s data centre through Wi-Fi for the best possible gaming performance. The controller also includes a button for instant capture, saving, and sharing gameplay in 4K resolution. It sports a Google Assistant button and built-in microphone, as many Google products do, for voice control. 

The device is expected to be released later this year, pending FCC approval.

Continue Reading

Featured

Nintendo announces Stranger Things 3 game

The Netflix Original show is set to launch a retro-style game on the Nintendo Switch.

Published

on

In collaboration with Netflix, developer BonusXP has created Stranger Things 3: The Game. It is the official companion game to Season 3 of the hit original series. The game and latest season are expected to launch on US Independence Day, the 4th of July, a date that will, of course, stick in American gamers’ memories.

This adventure game blends a distinctively retro 16-bit art style, reminiscent of games from the time when the series was set. It is claimed to have modern gameplay mechanics to deliver nostalgic fun with a fresh new twist. Players will be able to experience their favourite show through a mix of exploration, puzzles, and combat.

Just ad in the show, teamwork is at the heart of Stranger Things 3: The Game. Players can team up in a two-player local co-operative, or in single player mode alongside an AI partner. Players can choose to play as one of twelve characters from the show, each with different abilities and attributes. Together, they’ll play through familiar events from the series, while also uncovering never-before-seen Stranger Things secrets, ensuring a fun experience for those new to the world of Stranger Things as well as for those familiar with the series.

Key Features:

  • Experience the show in a new way, exploring the eerie world of Hawkins to uncover new mysteries beyond what’s seen in Season 3.
  • Jump right into the action of this pick-up-and-play adventure: gameplay mechanics that allow players from beginner to advanced skill levels to get in on the fun.
  • Take your game to a higher level by trying out different character combinations and collecting all the secrets the expansive world of Hawkins has to offer.
  • Team up with a friend, leveraging drop-in/drop-out local co-op to take on the mysterious monsters of Hawkins together. While playing solo, use a collection of “buddy commands” to control both characters and still experience all the fun.
  • Choose from 12 playable characters, each with their own unique talents and stats.

Continue Reading

Trending

Copyright © 2018 World Wide Worx