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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The Age of Chiplets is Upon Us

The idea of chiplets is simple: develop the best semiconductors for the needed functions using the most proper manufacturing process. Then combine an assortment of chiplets on a multi-die package, and voila! A lower-cost approach to advanced semiconductors. The...

SiMa.ai Sets A New Standard In Embedded Edge Power Efficiency

For power-constrained edge applications, SiMa tops the leader, NVIDIA Orin, according to the company’s recent MLPerf results and more. There’s big AI like ChatGPT, and then there is useful AI embedded at the edge. At in these environments, available power could be...

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...

The NewReality: Fast Inference Processing For 90% Less?

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story? CPUs and NICs that pre- and post-process the query add significant...

Qiskit Comes Of Age With Quantum Performance, New Features From IBM

Qiskit has emerged as the go-to development platform for quantum coders, with over 550,000 users developing quantum circuits to run on quantum machines from eight vendors. IBM Research launched Qiskit (the "Quantum Information Science Kit") in 2017 to provide...

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...

Can Groq Really Take On Nvidia?

The Silicon Valley startup has just raised an astonishing $640M in additional funding, and is valued at $2.8B. Have they captured AI Lightning in a bottle? Groq has announced a $640M Series D round at a valuation of $2.8B, led by BlackRock Private Equity Partners....

Cerebras, 23’s Most Successful AI Startup, Sees A Bright Future

With revenue and customer commitments approaching $1B, Cerebras’ Wafer Scale Engine has likely generated more business than all other startup players combined. Needless to say, CEO Andrew Feldman is feeling pretty bullish about 2024. As previously discussed, Cerebras...

The IBM Research AI Hardware Center: An Update

Celebrating its two-year anniversary, the Center announces innovative AI acceleration technologies along with nearly tripling its cadre of memberships. The IBM Research AI Hardware Center is the nexus of a group of academic and industry leaders contributing to the...

Tenstorrent Scores Big Win At LG

The companies will collaborate to build RISC-V, AI, and Video Codec chiplets for future automotive and TV products. We’ve been following the Toronto-based startup Tenstorrent for the last several years, where CEO Jim Keller is now steering multiple advanced designs...