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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HotChips Preview: Nvidia Scales AI Beyond The Data Center

The annual HotChips conference starts this Sunday, Aug. 24, in San Francisco. Nvidia is scheduled to present six sessions covering topics of interest to AI data center users and operators and will make several key announcements I’ll cover in this article. (Like most...

Is Nvidia Competing With Its GPU Cloud Partners?

Nvidia recently announced two new cloud initiatives. First, the company announced DGX Cloud Lepton, designed to connect artificial intelligence developers with Nvidia’s wide network of cloud providers. Second, Nvidia announced a new cloud service, the Industrial AI...

If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

Qiskit Comes Of Age With Quantum Performance, New Features From IBM

Qiskit has emerged as the go-to development platform for quantum coders, with over 550,000 users developing quantum circuits to run on quantum machines from eight vendors. IBM Research launched Qiskit (the "Quantum Information Science Kit") in 2017 to provide...

INTEL Lays Down The Gauntlet For AMD And NVIDIA GPUs

The company’s Xe GPU for HPC looks pretty good, but will it be good enough to catch up to AMD and NVIDIA? Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford...

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...

Arm Adds More AI Firepower

As I covered in a recent article on the status of startups building chips for AI, the AI accelerator market will become quite crowded over the next 12-18 months. Not to be outdone, Arm is now extending its neural network processor family, adding logic designs for...

Is Graphcore’s Ecosystem Reaching A Tipping Point?

Company’s open-source software has matured significantly, and now the development community is taking over some of load. Graphcore has made significant advancements since we published the original version of our research paper on the company’s software in May 2020. We...

Cambrian-AI 2022 Predictions: Expect More Than Just New Chips

The new year will see new chips, 2021 was another banner year for AI hardware platform innovations, as we predicted. Ok, not ALL of our prognostications came to pass, notably the stall (ok, death) of the NVIDIA/Arm deal. But others were pretty accurate. What does 2022...

Cadence Design Is Working With Renesas To Build The World’s First LLM Tool For Up-Front Chip Design

The company sees this as an augmentation, not a replacement, for its portfolio of reinforcement learning AI tools that improve the productivity of chip design teams, addressing the most challenging part of chip design. Cadence has been aggressively rolling out...