The Latest News in AI

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

IBM Shares AI Strategy And A Wealth Of Customer AI Results

Under CEO Arvind Krishna’s leadership and AI’s momentum, IBM has truly transformed its business, technology, and leadership. I should know; I worked there as an exec from 2000 to 2010. Now IBM is all about AI and Hybrid Cloud, with Quantum computing in sight. Lucky...

Xilinx Reveals More Versal Details

Xilinx held an “Innovation Day” event this week to share more details about the technologies the company hopes will forge a larger footprint in the data center. After listening to eight presentations and having intriguing discussions with the company’s leading...

Synopsys, Cadence, Google And NVIDIA All Agree: Use AI To Help Design Chips

Synopsys created a buzz in 2020, and now Google, NVIDIA, and Cadence Design have joined the party. What lies ahead? Introduction Designing modern semiconductors can take years and scores of engineers armed with state-of-the-art EDA design tools. But the semiconductor...

Esperanto Launches AI Accelerator With Over 1000 RISC-V Cores

After delays, the company now has working silicon back from TSMC, with high power efficiency for recommendation engines. Esperanto has announced more details at Hot Chips about its much-anticipated AI accelerator designed for power-efficient inference processing....

Nvidia AI Foundry And NIMs: A Huge Competitive Advantage

Nvidia has fleshed out a complete software stack to ease custom model development and deployment for enterprises. Is this AI Nervana? And can AMD and Intel compete with this? In order for enterprises to adopt AI, its got to become a lot easier and more affordable....

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...

Qualcomm Readies CPUs For The Data Center Using Nvidia NVLink Fusion

NVLink has become a second, and perhaps deeper, moat for Nvidia, following its CUDA software tools and libraries. There's a reason the AI community prefers NVLink for connecting multiple GPUs: it is mind-blowingly fast, more than three times the performance of the...

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...

RISC-V Startup Esperanto Technologies Samples First AI Silicon

Select customers are now evaluating the chip; early results look promising across a broad range of AI workloads Esperanto has been talking about their edge AI chips for several years, and now the company can demonstrate working AI acceleration for image, language, and...

MLPerf 5.1: Nvidia Stays In The Lead While AMD Shows Off Its Latest

The Nvidia juggernaught faces increased competition, but keeps innovating in silicon, software and systems design to keep its No. 1 position in the AI market. The industry standard MLCommons organization has just released the latest benchmarks for inference...