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...

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The 2020 AI HW Summit: Beware The Benchmarks

The 3rd annual AI Hardware Summit concluded last week, after four days of mind-bending presentations, panels and discussions about the Cambrian Explosion in AI. For well over two years, many of us industry observers have waited for the players, big and small, to...

Who Needs Big AI Models? Amazon Web Services Using Cerebras Hardware

The AI world continues to evolve rapidly, especially since the introduction of DeepSeek and its followers. Many have concluded that enterprises don't really need the large, expensive AI models touted by OpenAI, Meta, and Google, and are focusing instead on smaller...

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

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...

Cadence Design Announces Second-Generation IP For Edge AI

AI is penetrating nearly every market and every device, causing leading microprocessor developers to rethink their SoC to enable fast AI execution at low power. The global edge AI hardware market size was valued at $6.88 billion in 2020, and is projected to reach...

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...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

Nvidia Contributes Blackwell And Ethernet Tech To Meta’s Open Compute

Many think of Nvidia as a closed ecosystem. But as AI transitions from fast chips to address a full-system challenge, Nvidia is helping drive an open industry. Yes, CUDA is closed. Nvidia says it has to be closed in order to develolp an optimized software abstraction...

Cambrian-AI 2022 Predictions: Expect More Than Just New Chips

The new year will see new chips, 2021 was another banner year for AI hardware platform innovations, as we predicted. Ok, not ALL of our prognostications came to pass, notably the stall (ok, death) of the NVIDIA/Arm deal. But others were pretty accurate. What does 2022...

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...

IBM Achieves Breakthrough In Quantum Computing

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...