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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Synopsys.ai: New AI Solutions Across The Entire Chip Development Workflow

Synopsys has added AI-based Verification and Test to its already-successful Design solution, DSO.ai, with more to come. Three years ago, Electronic Design Automation (EDA) solution provider Synopsys took the bold step to add reinforcement learning to its chip design...

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...

Could Graphcore’s Second Chip Challenge NVIDIA?

Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...

What NVIDIA Will Say At Hotchips‘22

“We are the Accelerated Data Center”: GPU’s, CPUs, Networking and Systems. As anyone not comatose knows, today’s modern data center workloads — like AI, HPC, and machine learning — absolutely demand acceleration. And the appetite for acceleration seems insatiable, in...

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...

IBM Advances Quantum Dev With More Performance And Qiskit Functions

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...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...

Buckle Up! Here’s The Hot News From Nvidia GTC 2024

There is so much to share, so here is our take from Jensen’s Keynote address... After a five year Covid hiatus, Jensen Huang took the stage for an in-person Keynote at the SAP Arena to an adoring crowd of techies and investors. Like in the olden days, the man in the...

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)...

IBM Invests In AI Hardware

While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...