New information on AI and Machine Learning

09 Apr NVIDIA Reinforces Machine Learning Training Lead Via Platform Improvements At GTC 2018

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NVIDIA – CEO Jensen Huang kicking off GTC 2018 Last week, Moor Insights & Strategy analysts Anshel Sag, Chris Wilder, Karl Freund and I attended NVIDIA GTC 2018, what I consider the industry leader’s premier GPU developer conference. If you’re unfamiliar with GTC, I wrote a preview here. As per usual with these events, the […]

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 […]

21 Mar Intel And Healthcare Partners Lean Into AI At SOLVE Event

We’re about nine months into the Intel Xeon Scalable Processor(Skylake) server ramp and end customers have been making optimizations to their current software code and also rolling out new projects based on the new platform with its new capabilities. I got the chance to talk with Intel’s Navin Shenoy, EVP, and GM of the Data […]

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 […]

20 Feb IBM Targets Installed Base With Second Phase Of POWER9 Systems

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IBM POWER9 server Back in December, IBM announced the first phase of its POWER9 products—its first POWER9 chip and its first POWER9-based server (read my full write-up of the announcement here). Now IBM has officially launched the second phase of its POWER9 server products. While the first phase centered around newer customers focusing on AI […]

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 […]

08 Feb NVIDIA’s Upcoming GTC 2018 Is The Place To Be If You Are Anyway Involved In AI Or ML

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GTC 2017 opening keynote Every year, NVIDIA holds a series of GPU Technology Conferences, commonly referred to as GTC and gets kicked off with a big event in San Jose and is followed up by regional eventsin places like Beijing, Munich, Tel Aviv, Taipei, Washington DC, and Tokyo. If you or your company is involved […]

27 Jan Don’t Forget About Storage When Planning For AI And ML

Artificial Intelligence (AI) and Machine Learning (ML) are without a doubt the hottest things happening out there in the tech world.  They are changing the way virtually every industry is approaching solving their biggest problems. AI and ML leaders currently span from healthcare to transportation to social media and it’s hard to attend a major tech […]

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 […]

16 Jan Intel Dazzles At CES 2018 Keynote And Gives Progress On Neuromorphic And Quantum Computing

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  Intel CES 2018 This past week, I and several other members of the Moor Insights & Strategy team camped out at CES 2018 in Las Vegas to learn as much as we can about the latest in consumer electronics technology, trends and company strategies. The conference is not only a great opportunity for startups to […]

16 Jan Bowling For AI: Booz Allen Hamilton And Kaggle Launch Data Science Bowl 2018

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This year’s Data Science Bowl focus Anyone who is plugged into the tech world knows that AI and big data is big business right now.  Our technological ability to process and analyze large troves of data grows every year, unlocking new doors at every turn. Big data and AI is big business, but it’s also […]

08 Jan NVIDIA Reinforces Automotive AI Lead With Uber And Volkswagen Announcements At CES 2018

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Under the chaos and fog that is the Customer Electronics Show (CES) this week in Las Vegas, few companies break through the noise and stand out.  CES is the preeminent show for consumer technology vendors.  This year the primary focus of this mega conference is on advancements in robotics (machine intelligence), drones, medical devices, gaming, […]

17 Jul Microsoft Finds Its AI Voice

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Microsoft held an intimate analyst and press event in London this week, coincident with the 20th anniversary of the founding of the Cambridge Research Lab, the European hub led by Professor Christopher Bishop. Microsoft now employs over 7,000 Artificial Intelligence (AI) research scientists and development engineers around the world under Microsoft Research (MSR) Executive VP […]

10 Jul Baidu Adds Momentum To NVIDIA’s Lead In AI

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It is not much of an exaggeration to say that Artificial Intelligence (AI), in its present form, would not be possible without NVIDIA GPUs. NVIDIA has enjoyed near-universal support from some of the largest adopters of Machine Learning technology, as NVIDIA’s speedy GPUs accelerate the training and use of the Deep Neural Networks that enable […]

22 May Google Cloud TPU: Strategic Implications For Google, NVIDIA And The Machine Learning Industry

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Google  announced the 2nd generation of the company’s TensorFlow Processing Unit (TPU), now called the Cloud TPU, at the annual Google I/O event, wowing the industry with performance for Machine Learning that appeared to eclipse NVIDIA’s Tesla Volta GPU only one week after that chip was launched. (See below why I say “appeared”.) Unlike Google’s […]

16 May AMD Targets Machine Learning With New Radeon Vega Frontier & Optimized Software

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Advanced Micro Devices  (AMD) has shared more details about its upcoming Vega family of GPUs, as well as information regarding the progress the company has made with its open-source ROCm software stack for HPC and Machine Learning (ML). These new Vega GPUs look like they have sufficient performance to be in the same ballpark as […]

15 May Why NVIDIA Is Building Its Own TPU

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The blistering pace of innovation in artificial intelligence for image, voice, robotic and self-driving vehicle applications has been fueled, in large part, by NVIDIA’s GPU chips that deliver the massive compute power required by the underlying math required for Deep Learning. While NVIDIA continues to reap the benefits of its investments in GPUs, there has […]