The Latest News in AI

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

IBM Achieves Breakthrough In Quantum Computing

by Karl Freund | Jun 14, 2023 | In the News

For the first time, IBM has used a quantum computer to solve a problem that that stumps the leading classical methods. This accomplishment marks a significant milestone in the path towards useful quantum computing systems and software. IBM has published a paper in...

Is The New AMD MI300X Better Than The NVIDIA H100?

by Karl Freund | Jun 13, 2023 | In the News

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...

Cadence AI Can Increase Chip Design Quality And Chip Designer Productivity Over 1000%

by Karl Freund | Jun 13, 2023 | In the News

EDA company’s clients have finished hundreds of new tapeouts using Cadence Cerebrus AI to speed development and make chips that run faster, use less energy, and cost less. For Cadence, AI is all about increasing engineering teams’ productivity, speeding higher...

Tenstorrent Scores Big Win At LG

by Karl Freund | May 30, 2023 | In the News

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...

As Nvidia Approaches $1 Trillion, It Announces AI Tech To Surpass $2 Trillion

by Karl Freund | May 29, 2023 | In the News

New tech shows the synergies that combining CPU, DPU and GPU can enable in AI. Especially in very large AI. After steering a 25% rise in Nvidia shares last week, CEO Jensen Huang flew to Computex in Taipei to announce a slew of new products demonstrating how his...

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Intel Innovation: AI Everywhere

by Karl Freund | September 25, 2023 | In the News | 0 Comments

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

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...

MLPerf 5.1: Nvidia Stays In The Lead While AMD Shows Off Its Latest

by Karl Freund | September 9, 2025 | In the News | 0 Comments

The Nvidia juggernaught faces increased competition, but keeps innovating in silicon, software and systems design to keep its No. 1 position in the AI market. The industry standard MLCommons organization has just released the latest benchmarks for inference...

NVIDIA Data Center Growth Returns

by Karl Freund | March 6, 2020 | AI and Machine Learning, In the News | 0 Comments

NVIDIA reported renewed growth overall last week. Its Data Center segment (where most of the AI hardware is reported) grew 43% to a record $968M in the last quarter, and gaming rose 56% to $1.49 billion. The stock market appreciated the news, sending NVIDIA up over...

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

by Karl Freund | August 2, 2021 | In the News | 0 Comments

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

Nvidia Leads The HPC Landscape At SuperComputing ’24

by Karl Freund | November 18, 2024 | In the News | 0 Comments

Nvidia has gone from a niche provider of HPC technology to becoming a dominant force in the industry. This year’s SC event reinforces that leadership. The annual SuperComputing event in North America is taking place this week in Atlanta, Georgia, and as usual the show...

NVIDIA Performance Trounces All Competitors Who Have The Guts To Submit To MLPerf Inference 3.0

by Karl Freund | April 5, 2023 | In the News | 0 Comments

But power matters, too. Qualcomm and SiMa.ai win in Edge Data Center and Embedded Edge respectively, while Neuchips wins in data center recommendations for power. Big News! There is a potential solution on the horizon to vastly broaden the field of benchmark...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

by Karl Freund | November 1, 2021 | In the News | 0 Comments

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

Synopsys Moves To RISC-V To Help SoC Developers

by Karl Freund | November 8, 2023 | In the News | 0 Comments

When the number two provider of CPU designs jumps on the RISC-V train, it is a significant milestone. The open-source RISC-V design is on a roll, displacing Arm in many SoC development plans. ARC and Arm are both companies that design and license microprocessor (CPU)...

A Look At Graphcore’s AI Software

by Karl Freund | June 12, 2020 | AI and Machine Learning, In the News | 0 Comments

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...