The Latest News in AI

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

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

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IBM Teams With AMD For Cloud AI Acceleration

This could be quite telling, as IBM had previously been using Nvidia for it’s internal cloud AI research. IBM has selected AMD to provide AI accelerators for the IBM Cloud. This is another milestone for AMD, which needs cloud adoption to achieve its goals. And IBM...

Qualcomm Is Rightly Proud Of Its New AI Hub

The mobile chip giant has released a new App Store for AI developers, with over 75 models in its “zoo” and support for every modern Snapdragon chip. Have you ever tried to stand up the infrastructure and software required for inference processing? It is complicated....

Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

NVIDIA Again Claims The Title For The Fastest AI; Competitors Disagree

Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...

Has Google Turned A Corner In Quantum And AI Computing?

Google recently announced three new hardware platforms, including quantum, AI and Arm. And these chips are indeed impressive. OK, I'll admit it. I underestimated Google's ability to drive meaningful innovations in the computing realm. Yes, the company showed great...

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...

NVIDIA Outperforms Itself Once Again

When the only company you can beat is yourself, what do you do? After all, you are the leader, right? And nobody else is even suited up and on the court. Some companies might rest on their laurels, saving money and slowing down R&D. NVIDIA is not one of those...

MLPerf Shows AMD Catching Up With Nvidia’s Older H200 GPU

As you AI pros know, the 125-member MLCommons organization alternates training and inference benchmarks every three months. This time around, its all about training, which remains the largest AI hardware market, although not by much as inference drives more growth as...

NVIDIA Launches New GPUs And Services for Generative AI Inferencing

A new PCI-card with 12 times more inference throughput for large models like ChatGPT and NeMo services for Foundation Model customizations. Jensen Huang was thoroughly enjoying his virtual stage time at this year's GTC event. Why not? His company’s stock is up 80%...

Why Nvidia Is Entering The $30B Market For Custom Chips

Nvidia’s largest customers (e.g., Google, Amazon, Microsoft, Meta, and OpenAI) are developing AI chips that compete with Nvidia, presenting a potential long-term threat to the AI leader. Jensen’s response? “We can help you do that.” Warning: this blog contains...