The Latest News in AI

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

My 2026 AI Predictions Have A Few Surprises

OK, I haven’t done this in a while; no excuse other than laziness. But here are ten concrete, defensible predictions for AI in 2026, with a bias toward things that materially matter for infra, enterprises, and policy. 1. Agentic AI moves from demos to staffed “digital...

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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 Has Become A Leader In Automotive Automation

Qualcomm's auto-related revenue jumped 87% year over year in the second quarter this year, well ahead of rivals Nvidia and Mobileye. Qualcomm estimated its automotive pipeline to be $45B earlier this year, double that of the previous year. Qualcomm's automotive...

Nvidia Contributes Blackwell And Ethernet Tech To Meta’s Open Compute

Many think of Nvidia as a closed ecosystem. But as AI transitions from fast chips to address a full-system challenge, Nvidia is helping drive an open industry. Yes, CUDA is closed. Nvidia says it has to be closed in order to develolp an optimized software abstraction...

SiFive Lands $175M Financing

Valued At Over $2.5B, SiFive Is Set To Challenge Arm, And x86 Vendors SiFive, Inc., today announced it has raised $175 million in a Series F financing round, valuing the RISC-V company at over $2.5 billion. The Series F round was led by Coatue Management. SiFive...

The NewReality: Fast Inference Processing For 90% Less?

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story? CPUs and NICs that pre- and post-process the query add significant...

Intel, GraphCore And Groq: Let The AI Cambrian Explosion Begin

As we approach the end of a year full of promises from AI startups, a few companies are meeting their promised 2019 launch dates. These include Intel, with its long-awaited Nervana platform, UK startup Graphcore and the stealthy Groq from Silicon Valley. Some of these...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

AMD Goes After NVIDIA With New GPU For The Datacenter

Today AMD announced its first data center GPU to compete in high-performance computing (HPC) and Artificial Intelligence (AI). Last year, the company announced that it would bifurcate its GPU technology into two architectures: CDNA for computation and RDNA for...

Cerebras, 23’s Most Successful AI Startup, Sees A Bright Future

With revenue and customer commitments approaching $1B, Cerebras’ Wafer Scale Engine has likely generated more business than all other startup players combined. Needless to say, CEO Andrew Feldman is feeling pretty bullish about 2024. As previously discussed, Cerebras...

AI Chip Vendors: A Look At Who’s Who In The Zoo In 2024

2/15: Updated to include Tenstorrent While the Nvidia AI story has rightly captivated investor attention, competitors are readying alternatives. How might AMD, Intel, Cerebras, Tenstorrent, Groq, D-Matrix and all the Cloud Service Providers impact the market? As...

IBM Announces Two Innovations To Advance Quantum Computing

Error Mitigation and Dynamic Circuits will unlock new era of exploration on IBM Quantum computers for at least the next five years. In addition to the new Osprey chip, IBM has announced two innovations at the annual Quantum Summit, one around error mitigation, and one...