The Latest News in AI

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

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on 11/14 with a fresh TPU Trillium vs. Blackwell comparison. Say what...

The Cambrian AI Landscape: Intel

Intel has adopted a "Domain-Specific Architecture" strategy espoused by John L. Hennessy, Alphabet Chairman and former President of Stanford University. Consequently, the company has at least one of everything: CPU, GPU, ASICs, and FPGAs. While this may appear to be a...

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...

Qualcomm Makes Its Push For PC Relevance, Leading With AI

Qualcomm gave us an end-of-year update on the new Snapdragon X Elite, the company’s bold effort to create an Arm-based PC ecosystem. The future looks bright, especially if Qualcomm can incentivize ISVs to natively port to Arm. Last September, Qualcomm focused its...

Intel Ice Lake Launch Reminds Us That CPUs Are Complex

And that CPU battles encompass far more than core count and SPEC benchmarks AMD’s EPYC 3 launch set the stage last month in its battle with Intel, claiming superior per-chip and per-core performance. Now, Intel’s “Ice Lake” Xeon CPU would need to put on one heck of a...

Google AI Shot Heard Globally; Another Shoe Is About To Drop

The AI sphere is abuzz lately with news and rumors that the latest Google TPU, Ironwood, is powering the Gemini3 model, outpacing OpenAI on many metrics including intelligence and performance. Now, The Information, echoed by Bloomberg and CNBC, is reporting that...

AMD Claims MI300X Is The World’s Fastest AI Hardware

The hardware looks quite capable, but the software optimization story has a long way to go to get close to Nvidia. But given the current demand/supply imbalance, I suspect AMD can sell all they can make. AMD launched the MI300 in San Jose to an anxious audience of...

NVIDIA Completely Re-Imagines The Data Center For AI

It is all about tighter integration with memory, CPUs, and accelerators for trillion-parameter AI models. For 12 years, NVIDIA has used its Spring GPU Technology Conference (GTC) to amaze its customers and investors with new GPUs for graphics and application...

Will Open AI’s o1 Reasoning Model Really Change The World?

OpenAI launched Strawberry — another name for its its 01 model — on Sept. 12, including the full function o1-preview and the more affordable o1-mini to demonstrate how AI can be greatly improved by breaking a query down into step-by-step reasoning. This...

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...