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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An Update On Intel And Habana Labs

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

With MLPerf, NVIDIA Wins, AGAIN!

While the new H100 GPU shows off its Transformer Engine in MLPerf, Intel advances with Gaudi-2 accelerator, and MosaicML shows A100 results nearly as good as H100 with their software. Every six months, MLCommons orchestrates and publishes on mlcommons.org over one...

IBM Advances Quantum Dev With More Performance And Qiskit Functions

IBM Qiskit, used to develop quantum circuits, is being augmented with a Quantum Function Catalog, is also being updated to deliver faster performance to speed application development. When Qiskit launched in 2017, the Quantum development tool helped learners and...

Intel Announces Neuromorphic Loihi 2 AI HW And Lava SW

Intel Research believes that brain-like Neuromorphic computing could hold the key to AI efficiency and capabilities. Intel has announced the availability of the second generation “Loihi” chip to further research into neuromorphic computing techniques that more closely...

Is NVIDIA Becoming A CPU Supplier, Competing With Intel And AMD?

NVIDIA Announces First Arm-Based Supercomputer Without GPUs The fact that NVIDIA is partnering with HPE to build a Grace-based Supercomputer should not surprise anyone. They had previously announced two; a monster machine called Alps at the Swiss National...

Skipping Nvidia Left Amazon, Apple And Tesla Behind In AI

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...

Does NVIDIA Selene Form A Wider Moat Than CUDA?

The annual International Supercomputer Conference (ISC), held virtually this year, kicked off today. Not surprisingly, NVIDIA has already made a few announcements of note. Especially of interest to me was the announcement of Selene, NVIDIA’s in-house 1+ Exaflop AI...

Tenstorrent Launches AI Chip With Conditional Execution

What the heck is that you ask?  So, did I; but it looks promising! I continue to be amazed at the innovations that are coming to market to accelerate deep learning workloads.  GraphCore, Habana Labs, Cerebras, Blaize, Groq, Perceive and others are now being joined by...

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...

NVIDIA Loses The AI Performance Crown, At Least For Now

For the first time, NVIDIA did not sweep the MLPerf table. While the era of its performance dominance may have come to an end, NVIDIA GPU’s flexibility and massive software ecosystem will continue to form a deep and wide moat. Meanwhile, Google, Intel, and Graphcore...