The Latest News in AI

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

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

by Karl Freund | Feb 23, 2021 | In the News

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

Beware The AI Benchmarks!

by Karl Freund | Feb 19, 2021 | In the News

Common Pitfalls In AI Benchmark Claims Most AI hardware purchase decisions follow lengthy evaluations running models and data representative of the application under development. Thats how decisions are made, and should be made. However, in typical AI hardware...

The Cambrian AI Landscape: Intel

by Karl Freund | Feb 18, 2021 | In the News

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...

NVIDIA Outperforms Itself Once Again

by Karl Freund | Dec 3, 2020 | AI and Machine Learning, In the News, Semiconductor

When the only company you can beat is yourself, what do you do? After all, you are the leader, right? And nobody else is even suited up and on the court. Some companies might rest on their laurels, saving money and slowing down R&D. NVIDIA is not one of those...

AMD Goes After NVIDIA With New GPU For The Datacenter

by Karl Freund | Dec 2, 2020 | AI and Machine Learning, DataCenter AI, In the News, Semiconductor

Today AMD announced its first data center GPU to compete in high-performance computing (HPC) and Artificial Intelligence (AI). Last year, the company announced that it would bifurcate its GPU technology into two architectures: CDNA for computation and RDNA for...

« Older Entries

Next Entries »

EDA Vendors Help Intel Get The USA Back Into Chip Manufacturing

by Karl Freund | April 29, 2025 | In the News | 0 Comments

The US Semiconductor industry desperately needs to rebuild the country’s ability to produce the advanced chips that are the cornerstone of AI and every electronic device you can imagine. Most of those chips are built today in Taiwan by TSMC. Merely the thought of any...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

by Karl Freund | December 3, 2021 | In the News | 0 Comments

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

IBM Nears Breakthrough In New Memory Class

by Karl Freund | March 10, 2021 | In the News | 0 Comments

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

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

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...

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 Takes Major Step To Leverage Its Rack-Scale Ecosystem

by Karl Freund | May 20, 2025 | In the News | 0 Comments

While few dispute the incredible performance of Nvidia AI platforms, many complain that it is a closed system. You can’t replace the Arm CPUs with, say, a CPU from a RISC-V , or take advantage of a new AI ASIC like the Meta MTIA accelerator, without redesigning and...

Skipping Nvidia Left Amazon, Apple And Tesla Behind In AI

by Karl Freund | August 11, 2025 | In the News | 0 Comments

Everyone thinks they are a comic. And everyone in big cap high tech thinks they can design better and/or cheaper AI chip alternatives to the industry-leader, Nvidia. Turns out, it’s simply not that easy. Apple and AWS have recently run aground in AI growth, and Tesla...

Synopsys Touts Smart “DesignDash” To Help Accelerate Chip Projects

by Karl Freund | June 10, 2022 | In the News | 0 Comments

Many chip design teams use internally developed tools or a mix of vendor tools to manage the development workflow. Now Synopsys is applying ML and Big Data analytics to inform a comprehensive dashboard to improve productivity and the end-to-end design process. Every...

Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

by Karl Freund | September 29, 2022 | In the News | 0 Comments

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

Buckle Up! Here’s The Hot News From Nvidia GTC 2024

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

There is so much to share, so here is our take from Jensen’s Keynote address... After a five year Covid hiatus, Jensen Huang took the stage for an in-person Keynote at the SAP Arena to an adoring crowd of techies and investors. Like in the olden days, the man in the...