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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New MLPerf Benchmarks Show Why NVIDIA Reworked Its Product Roadmap

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive threats but remains the leader, especially in the scale of its...

NVIDIA Continues To Evolve, From Chips To Software To AI Data Centers

Company’s Computex announcements also expand NVIDIA Certified program to DPU and Arm NVIDIA made several announcements this week in Taiwan, launching new software and services to help enterprises enter the age of AI. NVIDIA’s Manuvir Das, head of Enterprise Computing,...

Xilinx Enters The SmartNIC Market

The CPU in today’s data center is increasingly burdened by the need to process networking jobs. According to Xilinx’s VP Marketing for Data Center Products, Donna Yasay, networking stacks can tax CPUs up to 30%, robbing them of the cycles needed to run users’...

$110M In Funding Will Help d-Matrix Get Generative AI Inference Platform To Market

Company sees a window where they can launch their cost-effective solution and get traction ahead of other’s next-gen silicon. d-Matrix has closed $110 million in a Series-B funding round led by Singapore-based global investment firm Temasek. The funding should enable...

Competitive Landscape Excerpt: AMD

As a bookend to AMD’s EPYC3 launch earlier this week, I thought I should share my thoughts on the company’s AI chip, the MI100, excerpted and updated from the Q1 Competitive Landscape Report. The company’s new GPU is a solid first effort for AMD’s revived data center...

Qualcomm AI Research Innovates 3D Perception Techniques

The trick of AI at the edge is reducing complexity while maintaining accuracy. And that takes a lot of primary research. When we explored the eight “AI Firsts” from Qualcomm AI Research earlier this year, it was clear to us the company’s full-stack approach to AI...

NVIDIA Launches Ampere A100 GPU For Data Center Computing And AI

Figure 1: NVIDIA shared performance comparisons across a range of precisions. Note the huge performance increase for sparse matrix operations. Note the banks of 6 HBM chips. image:NVIDIA While many of us missed watching Jensen Huang on stage in his trademark leather...

Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

Nvidia Improves Performance With 5x Faster AI. Yes, Software Matters.

Nvidia’s pre-emptive strike may blunt AMD MI300 news, pointing to the company's key advantage in AI software. AMD will host a big announcement this week in San Jose, where the company will announce details about its new flagship GPU for generative AI, the MI300....

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...