The Latest News in AI

Company hopes to match or even exceed x86 and Arm performance for data center infrastructure and applications. The data center is becoming more heterogeneous in terms of customized processors, accelerating new workloads across the infrastructure to optimize data...

When the mlperf (machine learning performance) organization released the first standardized AI training benchmarks, which NVIDIA dominated last December, we were somewhat disappointed that only a few companies, namely NVIDIA, Google and Intel, were able to muster the...

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and most of us analysts just considered this to be an upgrade to the...

A Digital Twin of your Data Center can help identify and reduce wasted IT infrastructure, even before you build it. Nvidia uses one to plan and operate its AI supercomputers, as eliminating wasted IT has an enormous economic impact and improves reliability and...

Nvidia did not submit results for Blackwell either, as it wasn’t ready when results had to be submitted, but still won the race with the Hopper GPU by up to 4X. Too bad for AMD, as they probably have the most to gain by publishing results for the MI300, even if Hopper...

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...

The two companies, both long-time partners of Arm, are extending their collaboration on wearables with a RISC-V Snapdragon Wearable platform to power the next-generation Wear OS solutions. “What about Arm?” you ask... Qualcomm and Google have announced they are...