The Latest News in AI

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

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

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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...

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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...

IBM Teams With AMD For Cloud AI Acceleration

This could be quite telling, as IBM had previously been using Nvidia for it’s internal cloud AI research. IBM has selected AMD to provide AI accelerators for the IBM Cloud. This is another milestone for AMD, which needs cloud adoption to achieve its goals. And IBM...

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...

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...

An Update On Intel And Habana Labs

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

Synopsys Opens The Next Chapter Of AI Tools For Chip Design And Manufacturing

The EDA leader has generated over $500M to date in AI tools and technologies. Now a new data analytics solution applies data management, curation, and analysis across the entire pipeline of chip creation. Synopsys was the first EDA company to apply AI to chip design,...

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...

INTEL Lays Down The Gauntlet For AMD And NVIDIA GPUs

The company’s Xe GPU for HPC looks pretty good, but will it be good enough to catch up to AMD and NVIDIA? Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

Is The New AMD MI300X Better Than The NVIDIA H100?

AMD disclosed a few more details on the MI300 GPU, due later this year, with support for 192GB of memory on the MI300X. Here’s what we know. In today’s world of ChatGPT, everyone keeps asking if the NVIDIA A100 and H100 GPUs are the only platforms that can deliver the...