The Latest News in AI

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

Cadence Supercomputer Appliance Enables Full-Scale Digital Twins

by Karl Freund | Feb 1, 2024 | In the News

Computational Fluid Dynamics, or CFD, software simulates the flow of fluids around an object in fine detail and is indispensable to auto and aerospace manufacturers. But it takes a lot of FLOPS to simulate how a full system (a car, plane, jet engine, ...) behaves in...

IBM Doubles Down On Its AI Cloud

by Karl Freund | Jan 31, 2024 | In the News

IBM Research has doubled the capacity of its Vela AI Supercomputer, part of the IBM Cloud, to handle the strong growth in watsonx models and has aggressive plans to continue to expand and enhance AI inferencing with its own accelerator, the IBM AIU. A year ago, IBM...

Welcome To 2024. It Promises To Be Quite The AI Ride!

by Karl Freund | Jan 8, 2024 | In the News

2023 has been a fun year in AI, to say the least. OpenAI and ChatGPT changed nearly everything, and the AI revolution is just beginning. Nvidia will ship somewhere around 2 million H100-class GPUs in 2024, AMD is now shipping the MI300, and Intel Gaudi3 is coming...

Cerebras Systems Wins A Major New Client: The Mayo Clinic

by Karl Freund | Jan 8, 2024 | In the News

The Mayo Clinic has one of the world’s most extensive and valuable health data sets. AI can now transform that treasure trove into better health outcomes and scientific understanding, and Cerebras has been selected to help. As we noted last Fall, Cerebras is one of...

AI Is Reshaping Chip Design. But Where Will It End?

by Karl Freund | Dec 19, 2023 | In the News

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

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Who Wins If The New Biden AI Export Rules Stand?

by Karl Freund | January 14, 2025 | In the News | 0 Comments

While Nvidia and the European Union have expressed their displeasure with the latest salvo of AI export restrictions from the Biden administration, a few companies and countries could actually benefit from them. But the industry as a whole will suffer, and so will...

NVIDIA Dominates A Near-Empty Field In AI Benchmarks Again

by Karl Freund | April 21, 2021 | In the News, Semiconductor | 0 Comments

The Qualcomm AI chip also looks pretty efficient, but where is everyone else? MLCommons, the not-for-profit organization that manages the AI benchmarks collectively known as MLPerf, has just released the V1.0 inference results. While NVIDIA once again dominated the...

NVIDIA Loses The AI Performance Crown, At Least For Now

by Karl Freund | July 7, 2022 | In the News | 0 Comments

For the first time, NVIDIA did not sweep the MLPerf table. While the era of its performance dominance may have come to an end, NVIDIA GPU’s flexibility and massive software ecosystem will continue to form a deep and wide moat. Meanwhile, Google, Intel, and Graphcore...

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

by Karl Freund | November 14, 2024 | In the News | 0 Comments

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...

Synopsys Launches First 1.6T Ethernet To Accelerate AI Data Centers

by Karl Freund | February 29, 2024 | In the News | 0 Comments

Normally, an AI Industry Analyst like myself would not take notice of a new version of Ethernet; its IP is fairly staid technology these days. But now the demands of high performance AI has changed the game, again. CPU, Accelerators, and Switch vendors depend on...

NVIDIA Completely Re-Imagines The Data Center For AI

by Karl Freund | April 12, 2021 | DataCenter AI, In the News | 0 Comments

It is all about tighter integration with memory, CPUs, and accelerators for trillion-parameter AI models. For 12 years, NVIDIA has used its Spring GPU Technology Conference (GTC) to amaze its customers and investors with new GPUs for graphics and application...

The Cambrian AI Landscape: Intel

by Karl Freund | February 18, 2021 | In the News | 0 Comments

Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford University. Consequently, the company has at least one of everything: CPU, GPU, ASICs, and FPGAs. While this may appear to be a...

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

by Karl Freund | August 12, 2022 | In the News | 0 Comments

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...

HPE Adds Support For Qualcomm Cloud AI 100 Inference Accelerator

by Karl Freund | August 12, 2022 | In the News | 0 Comments

HPE’s endorsement for the Qualcomm Technology Cloud AI 100 is a huge step for most efficient and high-performance AI inference engines in market today. When I was working at AMD to get the first generation EPYC server SoC added to HPE servers, I learned that the...

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

by Karl Freund | September 28, 2020 | AI and Machine Learning, In the News | 0 Comments

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...