AI and Machine Learning

In its third round of submissions, MLCommons released results for MLPerf Inference v1.0.  MLPerf is a set of standard AI inference benchmarking tests using seven different applications. These seven tests include a range of workloads that include computer vision, medical imaging, recommender systems, speech recognition, and natural language processing. MLPerf benchmarking measures how fast a trained neural …

NVIDIA Crushes Latest Artificial Intelligence Benchmarking Tests Read More »

NVIDIA GTC is the premier annual conference for developers, scientists, and businesses interested in machine learning or artificial intelligence. According to NVIDIA CEO and founder Jensen Huang, over 100,000 attended this year’s virtual event. Following tradition, NVIDIA made GTC 2021 a stage for many significant ML, AI, networking, and data center announcements. One of Huang’s most …

NVIDIA Announces Technology For Training Giant Artificial Intelligence Models Read More »

For the last two years, in January, I have published my predictions about the new AI silicon I expect in the coming year. Like the weatherman, I’ve gotten some details wrong but I’ve been reasonably accurate, at least directionally. So, here we go again with a look at likely 2021 advancements and possible failures. I …

AI Cambrian Explosion: 2021 Predictions Read More »

Product Lifecycle Management offerings have helped companies manage their product lifecycles for decades, reducing costs, improving quality and making customers happy. Surprisingly, though, such a process is not in place for the silicon chips used in almost everything these days. While the semiconductor industry has matured on many fronts, producing vast quantities of faster, cheaper …

Never Heard Of Silicon Lifecycle Management? Join The Club. Read More »

AWS’s annual re:Invent conference this year included big news from CEO Andy Jassy and AI VP Swami Sivasubramanian. AWS launched two new hardware platforms for AI and significantly expanded its SageMaker software to simplify running AI models on AWS at maximum performance. When I look at the breadth of AI software, the depth of AI …

Amazon AWS Ramps New Hardware For AI Read More »

There’s been a lot of news lately on the AI chip front, so I wanted to share a short synopsis of what has been happening for anyone who may be distracted by the holidays. I will flesh these stories out further before my annual Cambrian AI Explosion blog in January here on Forbes.  Let’s start with the …

The Cambrian AI Explosion Ramps Up Read More »

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies participated in the contest. Many observers and investors expect NVIDIA to encounter more competition in the market for inference accelerators. The hypothesis is that GPUs consume too much energy, are expensive, and cannot …

Why Can’t NVIDIA Be Bested In MLPerf? Read More »

The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to present working production silicon with benchmarks. In previous years, only NVIDIA delivered (or should …

The 2020 AI HW Summit: Beware The Benchmarks Read More »

NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends to reshape computation, from GPUs to CPUs to NICs and switches. So, let’s …

NVIDIA GTC: “DPU” Smart NIC And More Read More »