The Latest News in AI

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

Intel Habana Launches 2nd Gen AI Chips

by Karl Freund | May 16, 2022 | In the News

Habana launches new chips for training and inference, claiming 2X performance advantage over last generation NVIDIA A100 Habana launched their 1st chip at the inaugural Kisaco AI Hardware Summit in 2018 with excellent performance and efficiency. Unfortunately for...

RISC-V Startup Esperanto Technologies Samples First AI Silicon

by Karl Freund | Apr 25, 2022 | In the News

Select customers are now evaluating the chip; early results look promising across a broad range of AI workloads Esperanto has been talking about their edge AI chips for several years, and now the company can demonstrate working AI acceleration for image, language, and...

Qualcomm Touts Eight AI “Firsts”

by Karl Freund | Apr 14, 2022 | In the News

The AI research group at Qualcomm Technologies has pioneered innovations from on-device learning to wireless AI, and has ambitious plans for the next set of “firsts”. Whenever people take photos or speak to a digital assistant using a mobile phone, they often don’t...

The Sounds Of The AI Benchmark War: Crickets

by Karl Freund | Apr 12, 2022 | In the News

NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play. Industry standard benchmarks have been an important feature of the IT landscape for decades, with SPEC, TPC, and other...

NVIDIA Earth-2: Leveraging The Omniverse To Help Understand Climate Change

by Karl Freund | Apr 9, 2022 | In the News

Cambrian-AI Analyst Alberto Romero contributed to this article. One of the greatest challenges humanity faces today is climate change. Although changes in climate occur naturally, during the last 200 years human activities have directly influenced the otherwise normal...

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D-Matrix AI Chip Promises Efficient Transformer Processing

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

Startup combines Digital In-Memory Compute and chiplet implementations for data-center-grade inferencing. This article was written by Cambrian-AI Analysts Alberto Romero and Karl FreundD-Matrix was founded in 2019 by two veterans in the field of AI hardware, Sid Sheth...

Synopsys.ai: New AI Solutions Across The Entire Chip Development Workflow

by Karl Freund | March 29, 2023 | In the News | 0 Comments

Synopsys has added AI-based Verification and Test to its already-successful Design solution, DSO.ai, with more to come. Three years ago, Electronic Design Automation (EDA) solution provider Synopsys took the bold step to add reinforcement learning to its chip design...

With MLPerf, NVIDIA Wins, AGAIN!

by Karl Freund | November 20, 2022 | In the News | 0 Comments

While the new H100 GPU shows off its Transformer Engine in MLPerf, Intel advances with Gaudi-2 accelerator, and MosaicML shows A100 results nearly as good as H100 with their software. Every six months, MLCommons orchestrates and publishes on mlcommons.org over one...

Nvidia Ups Its Robotics Game With Blackwell-Based Jetson Thor

by Karl Freund | August 25, 2025 | In the News | 0 Comments

Nvidia focuses on maximum performance and efficiency. We’ve all heard the predictions: the Next Big Thing will be “Physical AI” (Nvidia) or “Embodied AI” (Qualcomm). Jensen Huang has predicted that in a decade, there will be more robots than humans on Earth. These...

The View From The AI HW Summit: What Was The Best AI HW In 2021?

by Karl Freund | September 14, 2021 | In the News | 0 Comments

The Summit is full of newsworthy announcements this week! I present a look back to help kick off the event... Today I present my annual AI industry overview at the AI Hardware Summit. This is the fourth annual event with nearly all the AI hardware vendors talking...

AI Training: “I’m Not Dead Yet!”

by Karl Freund | November 12, 2025 | In the News | 0 Comments

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...

Will Open AI’s o1 Reasoning Model Really Change The World?

by Karl Freund | December 10, 2024 | In the News | 0 Comments

OpenAI launched Strawberry — another name for its its 01 model — on Sept. 12, including the full function o1-preview and the more affordable o1-mini to demonstrate how AI can be greatly improved by breaking a query down into step-by-step reasoning. This...

Cadence Design Is Working With Renesas To Build The World’s First LLM Tool For Up-Front Chip Design

by Karl Freund | September 11, 2023 | In the News | 0 Comments

The company sees this as an augmentation, not a replacement, for its portfolio of reinforcement learning AI tools that improve the productivity of chip design teams, addressing the most challenging part of chip design. Cadence has been aggressively rolling out...

Could Graphcore’s Second Chip Challenge NVIDIA?

by Karl Freund | July 29, 2020 | AI and Machine Learning, In the News | 0 Comments

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...

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...