The Latest News in AI

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

Qualcomm Is Rightly Proud Of Its New AI Hub

The mobile chip giant has released a new App Store for AI developers, with over 75 models in its “zoo” and support for every modern Snapdragon chip. Have you ever tried to stand up the infrastructure and software required for inference processing? It is complicated....

read more

Synopsys Announces New AI-Driven Solutions

Synopsys CEO Sassine Ghazi takes the stage for the first time as CEO at SNUG, joined by Nvidia CEO Jensen Huang to discuss the companies’ collaboration and much more. I never knew how close Synopsys and Nvidia were! Apparently, according to Jensen, Synopsys delivered...

read more

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 Data Center Growth Returns

NVIDIA reported renewed growth overall last week. Its Data Center segment (where most of the AI hardware is reported) grew 43% to a record $968M in the last quarter, and gaming rose 56% to $1.49 billion. The stock market appreciated the news, sending NVIDIA up over...

What If IBM Z Could Help Stop Fraud?

Last year, IBM launched the z16 with an integrated AI accelerator on each CPU chip. Now, with the infusion of AI into IBM z/OS and a robust AI open-source toolkit, IBM Z customers can realize low-latency AI on a highly trustworthy and secure enterprise system: the...

Will Open AI’s o1 Reasoning Model Really Change The World?

OpenAI launched Strawberry — another name for its its 01 model — on Sept. 12, including the full function o1-preview and the more affordable o1-mini to demonstrate how AI can be greatly improved by breaking a query down into step-by-step reasoning. This...

A Closer Look At Graphcore ML Performance

Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...

New MLPerf Benchmarks Show Why NVIDIA Reworked Its Product Roadmap

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive threats but remains the leader, especially in the scale of its...

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...

AMD To Power ‘El Capitan’ Super Computer From HPE’s Cray

Last fall, as Cray was being acquired by Hewlett-Packard Enterprise for $1.6B, the company announced that it had been selected by the US DOE for two more exa-scale supercomputers based on the processor-agnostic Cray Shasta architecture. The Lawrence Livermore National...

The Graphcore Data Center Architecture

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads. Lets...

Qualcomm Launches Unified AI Stack For Cloud To Edge Intelligence

The new Qualcomm AI Stack lays the foundation for domain-specific SDK’s While advances in AI accelerators have improved silicon performance by over a thousand-fold, it’s software that turns bits of silicon into useful capabilities for consumers and businesses. After...