The Latest News in AI

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

AI Training: “I’m Not Dead Yet!”

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...

read more

OpenAI’s Deep Research Demands More Hardware, Not Less

Discussions about Deep Seek’s impact on Nvidia is everywhere. Yesterday, I heard an investor on CNBC’s "Fast Money" program pontificate that Deep Seek and its disruptive technology mean that “Nobody needs an Nvidia H100 anymore,” much less a Blackwell. I struggle to...

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...

Qualcomm Cloud AI 100 Is 3X More Efficient. What’s Missing?

New MLPerf benchmarks lay a solid foundation; now the company needs to finish the job. As the Cambrian Explosion reverberates across the landscape of AI chips, the benchmarking silence of many challengers stands in sharp contrast to their marketing hype. Most are...

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...

Will Nvidia GTC Mark The Peak Of AI?

In these explosive times and stock market surges, let’s look at where we might find the nuggets of new growth. Nvidia will focus on additional growth opportunities in Inference processing, Software, Edge, and Automotive; Nvidia is nowhere near Peak AI. Yes, GTC is a...

AI Is Reshaping Chip Design. But Where Will It End?

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

Intel Focusses On AI At Big Event, And For Good Reasons

Intel has a multi-prong AI strategy. The company announced the AI PC and Intel Xeon Gen5 with excellent AI performance and TCO. Intel announced new products for desktops and servers, and the focus for both was AI, where Intel has a commanding lead over the...

In The Latest AI Benchmarks, Nvidia Remains The Champ, But Qualcomm Is Rising Fast

NVIDIA rules the performance roost, Qualcomm demonstrates exceptional power efficiency, and Intel demonstrates the power of software. Every three months, the not-for-profit group MLCommons publishes a slew of peer-reviewed MLPerf benchmark results for deep learning,...

Welcome To 2024. It Promises To Be Quite The AI Ride!

2023 has been a fun year in AI, to say the least. OpenAI and ChatGPT changed nearly everything, and the AI revolution is just beginning. Nvidia will ship somewhere around 2 million H100-class GPUs in 2024, AMD is now shipping the MI300, and Intel Gaudi3 is coming...

GrAI Matter Labs: Brain-Inspired AI For The Edge

This article was written by Alberto Romero, Cambrian-AI Analyst, and Karl Freund, Cambrian-AI Founder.We recently tweeted about the startup GrAI Matter Labs (GML) and received a lot of questions about the company’s products and strategy. As one of the first startups...