The Latest News in AI

We publish news articles on Forbes, which are copied here for your convenience.  

AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

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Nvidia’s New HW Alleviates Concerns For Blackwell Transition

I awoke Sunday morning to an article in The Information written to instigate fear, uncertainty and doubt amongst Nvidia investors and users. Don’t worry. Nvidia’s got this. The article circulating this weekend highlighted the thermal challenges some customers face...

New Cerebras Wafer-Scale Cluster Eliminates Months Of Painstaking Work To Build Massive Intelligence

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3. These models are surprising even its developers with capabilities...

NVIDIA Is Not A Chip Company. It’s A Platform Company.

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

Nvidia AI Foundry And NIMs: A Huge Competitive Advantage

Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this? In order for enterprises to adopt AI, its got to become a lot easier and more affordable....

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on 11/14 with a fresh TPU Trillium vs. Blackwell comparison. Say what...

NVIDIA Dominates A Near-Empty Field In AI Benchmarks Again

The Qualcomm AI chip also looks pretty efficient, but where is everyone else? MLCommons, the not-for-profit organization that manages the AI benchmarks collectively known as MLPerf, has just released the V1.0 inference results. While NVIDIA once again dominated the...

Arm Adds More AI Firepower

As I covered in a recent article on the status of startups building chips for AI, the AI accelerator market will become quite crowded over the next 12-18 months. Not to be outdone, Arm is now extending its neural network processor family, adding logic designs for...

Synopsys Has Helped Over 100 Clients Use AI To Accelerate Chip Design

The company’s DSO.AI is helping chip designers run more experiments, make smaller chips, and speed performance. Three years ago, EDA vendor Synopsys started helping clients use reinforcement learning, an AI technique, to accelerate and improve physical chip layout...

What NVIDIA Will Say At Hotchips‘22

“We are the Accelerated Data Center”: GPU’s, CPUs, Networking and Systems. As anyone not comatose knows, today’s modern data center workloads — like AI, HPC, and machine learning — absolutely demand acceleration. And the appetite for acceleration seems insatiable, in...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...