The Latest News in AI

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

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...

Who Needs Big AI Models? Amazon Web Services Using Cerebras Hardware

The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted by OpenAI, Meta, and Google, and are focusing instead on smaller...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

Cerebras Systems And G42 Build 2nd Phase Of Joint AI Supercomputer

The only AI Hardware startup to realize revenue exceeding $100M has finished the first phase of Condor Galaxy 1 AI Supercomputer with partner G42 of the UAE. Other Cerebras customers are sharing their CS-2 results at Supercomputing ‘23, building momentum for the...

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....

Synopsys, Cadence, Google And NVIDIA All Agree: Use AI To Help Design Chips

Synopsys created a buzz in 2020, and now Google, NVIDIA, and Cadence Design have joined the party. What lies ahead? Introduction Designing modern semiconductors can take years and scores of engineers armed with state-of-the-art EDA design tools. But the semiconductor...

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...

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...

World-Record AI Chip Announced By Habana Labs

Out of the tsunami of AI chip startups that hit the scene in the last few years, Israeli startup Habana Labs stands out from the crowd. The company surprised and impressed many with the announcement last fall of a chip designed to process a trained neural network (a...

Cambrian-AI 2022 Predictions: Expect More Than Just New Chips

The new year will see new chips, 2021 was another banner year for AI hardware platform innovations, as we predicted. Ok, not ALL of our prognostications came to pass, notably the stall (ok, death) of the NVIDIA/Arm deal. But others were pretty accurate. What does 2022...