06 Sep Xilinx Reveals More Everest Details

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Xilinx , the market share leader in Field Programmable Gate Arrays (FPGAs), presented five sessions at this week’s HotChips ’18 conference in Cupertino, California. These included CEO Victor Peng’s keynote on the company’s vision for the future of adaptable domain specific computing, new features of its upcoming 7nm Project Everest architecture, and pre-built applications for […]

24 Aug NVIDIA Reveals Xavier SOC Details

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NVIDIA has been hinting about Xavier for a couple of years now, and it finally revealed significant details at the recent HotChips’ 30th annual conference in Cupertino, California. This device is a huge System-On-a-Chip (SOC) designed to support a wide variety of complex AI inference processing in real-time, for drones, robotics, and autonomous driving. Frankly, […]

20 Jul An Update On Data Center FPGAs

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FPGAs from Intel and Xilinx  have been steadily carving out niches in datacenter applications where low power, high performance, and configurability may trump programming challenges. Xilinx and  AWS have been working with solution providers to create shrink-wrapped applications and tools which use AWS F1 FPGA instances, and Microsoft has recently announced some pretty stellar results […]

26 Jun Xilinx And Daimler AG Team Up For AI-Based Automotive Applications

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The Autonomous Vehicle of the future is getting incrementally closer, with technological advances in Advanced Driver Assistance Systems (ADAS) features such as emergency braking, lane keeping, pedestrian warnings, sign reading, and adaptive cruise control. While Intel ’s Mobileye is the market leader today for auto vision processing, many automakers are opting for more flexible and […]

25 Jun Microsoft Cranks AI Efforts Up To 11

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Microsoft is justifiably proud of its hardware/software co-design approach to accelerating a wide range of data center workloads using Intel FPGAs. The company recently shared some progress in this area and subsequently announced its acquisition of the AI startup Bonsai to ease the on-ramp for building AI on Microsoft. These advances give more advantages to […]

13 Jun AI Pioneer Wave Computing Acquires MIPS Technologies

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Wave Computing, a Silicon Valley AI startup specializing in data flow processing of Deep Neural Networks, has acquired MIPS Technologies for an undisclosed amount. Wave projects that the acquisition will be immediately cash-flow positive and accretive to its balance sheet and valuation. The deal logic is pretty sound, adding new markets such as edge AI […]

12 Jun IBM And NVIDIA Reach The Summit: The World’s Fastest Supercomputer

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IBM , NVIDIA , and the U.S. Department of Energy (DOE) recently announced that they have completed testing the world’s fastest supercomputer, Summit, at the Oak Ridge National Laboratory in Oak Ridge, Tennessee. Capable of over 200 petaflops (200 quadrillion operations per second), Summit consists of 4600 IBM dual socket Power 9 nodes, connected by […]

01 Jun Intel Shows Off Its AI Chips And Chops

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Intel held its inaugural Artificial Intelligence (AI) Developers Conference in San Francisco on May 23-24th, presenting its leadership, technologies, and customers to a capacity audience of some 800 AI geeks and media. The company now has a rich portfolio of AI technologies, after acquiring Movidius and MobileEye for real-time processing, Altera for reprogrammable FPGA acceleration […]

22 May Intel OpenVINO: Funny Name, Great Strategy

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Over the last several years, Intel  has acquired four companies to go after the AI market: Nervana, Movidius, MobileEye, and Altera. Now the company has announced a new software strategy to unify these offerings for the application developer. While there is still much work to be done, Intel’s inference strategy looks pretty solid and should […]

14 May Is NVIDIA Unstoppable In AI?

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In NVIDIA ’s Q1 2019 quarter, the company once again exceeded expectations, reporting a 66% growth in total revenue, including 71% growth in its red-hot datacenter business (reaching $701M for the quarter). For NVIDIA, the “Datacenter” segment includes High-Performance Computing (HPC), datacenter-hosted graphics, and AI acceleration. While that is certainly an impressive growth rate, it is smaller than […]

19 Apr AMD And Cray Join Forces To Bring EPYC To HPC

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Cray and AMD have announced the availability of AMD EPYC 32-core CPUs on the supercomputer company’s midrange cluster system, the Cray CS500. AMD has enjoyed a long and successful relationship with Cray, supplying Opteron processors in big iron Cray supercomputers such as that deployed in the National Center for Supercomputing Application (NCSA) Blue Waters at the University […]

29 Mar Arm Chooses NVIDIA Open-Source CNN AI Chip Technology

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A few weeks ago, we covered ARM’s announcement that it would be delivering a suite of AI hardware IP for Deep Learning, called Project Trillium. ARM announced at the time that third party IP could be integrated with the Trillium platform, and now ARM and NVIDIA have teamed up to do just that. Specifically the […]

27 Mar NVIDIA VR + AI = Billions Of Miles Of Virtual Driving

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NVIDIA announced today that it has combined its historical strength in high-performance 3D graphics with its Artificial Intelligence (AI) technologies to create a cloud-based platform for simulating and testing the driving operations of autonomous vehicles. By enabling developers to virtualize the closed-loop system of sensors, image processing, routing, and driving controls, the company’s new DRIVE […]

26 Mar Xilinx Everest: Enabling FPGA Acceleration With ACAP

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Xilinx , the leading vendor for Field Programmable Gate Array (FPGA) chips, has announced its widely-expected 7nm generation architecture, called Everest, targeting datacenter acceleration applications as well as AI, IOT and the company’s traditional markets. While most market observers expected Xilinx to beat Intel (Altera) to the 7nm milestone, the scope of the Everest program […]

02 Mar Qualcomm’s Smart AI Strategy: Scalable Software For Scalable Devices

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Just before the Mobile World Congress (MWC) confab, where techies meet to enjoy tapas in Barcelona while learning about all things mobile, Qualcomm announced a new software suite. These new offerings seek to enable AI capabilities on existing Snapdragon mobile platforms. While most training of Deep Neural Networks is done in the cloud on NVIDIA […]

14 Feb Arm Throws Their Axe Into The AI Ocean With Project Trillium

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Arm’s OD and ML processors work together to find and identify faces. This blog was co-written by Patrick Moorhead, President and Principal Analyst and Karl Freund, Sr. Analyst, Machine Learning and HPC, Moor Insights & Strategy. Machine learning is the hottest thing in tech right now; hotter than smartphones, hotter than virtual reality, even hotter than […]

13 Feb Google Announces Expensive Cloud TPU Availability

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Google  recently announced that the Google Cloud TPU (announced last May), is now available in limited quantities as a beta on the Google Cloud Platform (GCP) for running TensorFlow-based AI applications. Clearly, the search giant is excited about its shiny new device, which the company has claimed will substantially reduce its datacenter footprint and cost […]

17 Jan Google, Microsoft, And Amazon Place Bets On AI In The Enterprise

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Google just announced significant enhancements to its machine learning services (MLaaS), attempting to close the significant competitive gap that Microsoft  has enjoyed, in my opinion, for the last year or so. Not to be left out, Amazon.com AWS announced the company’s own new MLaaS tools and services at AWS Re:Invent last November, trying to court […]

05 Jan Ten Predictions For AI Silicon In 2018

2017 was an exciting year for fans and adopters of AI. As we enter 2018, I wanted to take a look at what lies ahead. One thing is certain: we’ve barely just begun on this journey and there will be great successes and monumental failures in the year to come. Before I dive into the […]

14 Nov What’s Hot At SC17: The Synthesis Of Machine Learning & HPC

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High Performance Computing (HPC) has historically depended on numerical analysis to solve physics equations, simulating the behavior of systems from the subatomic to galactic scale. Recently, however, scientists have begun experimenting with a completely different approach. It turns out that Machine Learning (ML) models can be far more efficient and even more accurate than the […]