The Latest News in AI

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

Why Can’t NVIDIA Be Bested In MLPerf?

MLPerf, an industry consortium of over 70 companies and institutions, has released the second round of AI Inference processing results. These benchmarks now represent production applications from all major areas of AI deployment today. But only a few technologies...

How Might OpenAI Outcomes Impact Nvidia, AMD, Intel And Microsoft?

The story keeps changing, but one thing is for sure. There will be one more AI vendor who will need tens of thousands of new GPUs. As the Loony Tunes saga continues, thanks to the OpenAI board of directors (”Th.. Th.. Th.. That’s all, Folks!”), a ton of meetings in...

Synopsys, Cadence, Google And NVIDIA All Agree: Use AI To Help Design Chips

Synopsys created a buzz in 2020, and now Google, NVIDIA, and Cadence Design have joined the party. What lies ahead? Introduction Designing modern semiconductors can take years and scores of engineers armed with state-of-the-art EDA design tools. But the semiconductor...

Microsoft Announces Maia AI, Arm CPU, AMD MI300, & New Nvidia for Azure

In case you missed Satya Nadella’s keynote, here is a summary of vast array of news and my perspectives. Big impact on MSFT, AMD, AWS, and NVDA. CEO Satya Nadella presented a keynote packed with new product announcements. In case you didn’t watch it, here’s the news...

IBM Invests In AI Hardware

While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...

Qualcomm Becomes A Mobile AI Juggernaut.

As we approach Nvidia GTC, its worth noting that there is another player in town. Or south of town, in San Diego: Qualcomm. The company has been building AI expertise and technology for over a decade, and we believe its lead over mobile rivals in both AI hardware and...

IBM Research Says Analog AI Will Be 100X More Efficient. Yes, 100X.

IBM AI Hardware Research Center has delivered significant digital AI logic, and now turns their attention to solving AI problems in an entirely new way. Gary Fritz, Cambrian-AI Research Analyst, contributed to this article. AI is showing up in nearly every aspect of...

NVIDIA DGX Cloud Gives CSPs And Their Customers Exactly What They Want: Fast AI, Fast

NVIDIA’s offering integrates the company’s best GPU hardware and software into AI Supercomputers of virtually any size in the cloud, enabling enterprises to build and deploy AI without infrastructure hassles. While some may confuse this as NVIDIA competing with cloud...

The IBM Research AI Hardware Center: An Update

Celebrating its two-year anniversary, the Center announces innovative AI acceleration technologies along with nearly tripling its cadre of memberships. The IBM Research AI Hardware Center is the nexus of a group of academic and industry leaders contributing to the...

Arm Adds More AI Firepower

As I covered in a recent article on the status of startups building chips for AI, the AI accelerator market will become quite crowded over the next 12-18 months. Not to be outdone, Arm is now extending its neural network processor family, adding logic designs for...