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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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...

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...

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...

Synopsys Certifies AI-Lead Design And IP Solutions For Samsung’s 2nm

2nm is the Next Big Thing in chip production, and Synopsys design tools and IP are now ready for production work and tape-outs on Samsung’s latest fab. Samsung has its eyes on the prize, hoping to secure more design wins as it competes with TSMC for the semiconductor...

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...

MLPerf Shows AMD Catching Up With Nvidia’s Older H200 GPU

As you AI pros know, the 125-member MLCommons organization alternates training and inference benchmarks every three months. This time around, its all about training, which remains the largest AI hardware market, although not by much as inference drives more growth as...

Nvidia Sweeps AI Benchmarks While AMD Misses The Boat. Again.

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...

Cadence Supercomputer Appliance Enables Full-Scale Digital Twins

Computational Fluid Dynamics, or CFD, software simulates the flow of fluids around an object in fine detail and is indispensable to auto and aerospace manufacturers. But it takes a lot of FLOPS to simulate how a full system (a car, plane, jet engine, ...) behaves in...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

Eight Takeaways From NVIDIA GTC

New Hopper GPU, Grace Superchips, New OGX Server for Omniverse, Faster networking, New DGX Servers & Pods, Enterprise AI Software, 60 updated SDKs, Next-Gen Hyperion Drive, Omniverse Cloud, ... I could go on and on! But neither of us has the time, so... GTC always...