The Latest News in AI

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

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

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Can CEO Lip-Bu Tan Save Intel?

After only 14 days on the job, Monday was showtime for Intel’s newest CEO, Lip-Bu Tan. During his keynote at the Intel Vision event in Las Vegas, Mr. Tan reiterated the messages communicated in his shareholder letter two weeks ago. He wants to focus Intel on...

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Tenstorrent Opens Office In Japan To Capitalize On RISC-V + AI

Is the company setting up the first RISC-V HPC win? Tenstorrent, the Toronto-based semiconductor company, now led by the super-star chip designer Jim Keller, has just opened a new office in Japan. So, as many other AI startups are struggling, Tenstorrent is doubling...

Cadence Creates “True Hybrid” Cloud For Designers

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...

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...

Blaize AI: Now In Production And Trials

Last November I covered Blaize and its silicon and software strategy, and noted that the company’s fairly large team has been focused on early customer engagements to gain insights and accelerate adoption. Now the company, backed by industrial heavyweights such as...

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 Needed A CPU, But Did It Need To Buy Arm To Get One?

I often opine that NVIDIA needs a data center-class CPU to compete with Intel and AMD, both of whom have used tightly-coupled CPU/GPU technology to win the first three U.S. exascale supercomputer deals. Connecting massive GPUs to fast CPUs over a painfully slow PCIe...

Could Graphcore’s Second Chip Challenge NVIDIA?

Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...

Esperanto Launches AI Accelerator With Over 1000 RISC-V Cores

After delays, the company now has working silicon back from TSMC, with high power efficiency for recommendation engines. Esperanto has announced more details at Hot Chips about its much-anticipated AI accelerator designed for power-efficient inference processing....

IBM Launches Granite 3.0 AI Models; Smaller, Faster, And 97% Cheaper

The newly optimized LLMs underpin AI transformation client engagements with IBM Consulting Advantage and Watsonx. The industry has been abuzz about the affordability of LLM-based generative AI. If we don’t improve the efficiency, users will struggle to achieve an...