The Latest News in AI

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

AI Inference Is King; Do You Know Which Chip is Best?

Everyone is not just talking about AI inference processing; they are doing it. Analyst firm Gartner released a new report this week forecasting that global generative AI spending will hit $644 billion in 2025, growing 76.4% year-over-year. Meanwhile, MarketsandMarkets...

Will NVIDIA Enter The Race For Quantum Computing?

Well, not directly. However, the company is making it easier to develop code for quantum machines using GPUs. Ok, let's face it. Programming quantum computers is hard. REALLY hard. While we do not expect NVIDIA to develop and market their own quantum system any time...

Is Jensen Huang Nvidia’s Chief Revenue Destruction Officer?

At this year's GTC event in San Jose, Nvidia CEO Jensen Huang held over 25,000 people in the palm of his hand, captivated by his vision of AI and how it could transform the world we live in. Some folks in the audience couldn't keep up and started fiddling with their...

Big AI Inference Has Become A Big Deal And A Bigger Business

Thanks to innovations like DeepSeek, training AI has become cheaper. However, inference is becoming more demanding as we ask AI to think harder before answering our questions. Nvidia, Groq, and Cerebras Systems (clients of Cambrian-AI Research) have all released...

AMD Acquires ZT, Addressing A Key Nvidia Advantage. Still, Two To Go

By acquiring ZT Systems, a favorite Hyperscale systems designer, AMD addresses a fundamental weakness it faces versus Nvidia: AI requires a complete system design, not just a fast chip. What else must it do to grab a 20% share? At a recent investment conference hosted...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...

NVIDIA Omniverse: The Useful Metaverse

Omniverse is not a toy; it enables digital twins of the real world as it exists, or as it will become. A few weeks ago I read an article on another media platform that asserted the need for the metaverse to embrace users beyond the creative teams of game developers...

IBM Announces Two Innovations To Advance Quantum Computing

Error Mitigation and Dynamic Circuits will unlock new era of exploration on IBM Quantum computers for at least the next five years. In addition to the new Osprey chip, IBM has announced two innovations at the annual Quantum Summit, one around error mitigation, and one...

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

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...

NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...