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 Launches Cloud AI Chip

Last year, Qualcomm teased its Cloud AI100, promising strong performance and power efficiency to enable Artificial Intelligence in cloud edge computing, autonomous vehicles and 5G infrastructure. Today, the company announced it is now sampling the platform, with...

Will AMD’s MI300 Beat NVIDIA In AI?

The upcoming MI300, which will ship Latter this year after NVIDIA’s Grace/Hopper Superchip, certainly has a shot at it. But there remain a lot of unknowns that will determine how well it performs for AI applications. And then there is Software. Yeah, Software. Lots of...

Cerebras Files For The Very First Generative AI IPO

If Cerebras can grow beyond its initial benefactor, G42, this IPO will be a rocket ship. If not, … It may be hard to believe, but there hasn’t been a single IPO for an AI hardware company. Period. Not One. Why? Because none of the startups have yet to achieve the...

Who Won The Latest AI Drag Race? AWS Or NVIDIA?

Of course the answer depends on who you ask. There is a quiet drama simmering over AI chip benchmarks. This isn’t the first time, and will certainly not be the last. Keeps me busy. This time, it is between Amazon Web Services (AWS) and NVIDIA. It is always NVIDIA. Not...

AMD Narrows The gap With Nvidia In New MLPerf Benchmarks

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing and dance. And that’s where Nvidia excels. Finally, I can stop whining...

SiMa.ai Creates Drag-And-Drop Platform For Building AI Workflows

Assuming it is the software that enables or prevents the adoption of a new AI chip, a reasonable assumption, SiMa has created a new tool called Palette Edgematic to simplify AI solution creation greatly. And build demand for their silicon. As everyone says, “It’s the...

Nvidia Takes Major Step To Leverage Its Rack-Scale Ecosystem

While few dispute the incredible performance of Nvidia AI platforms, many complain that it is a closed system. You can’t replace the Arm CPUs with, say, a CPU from a RISC-V , or take advantage of a new AI ASIC like the Meta MTIA accelerator, without redesigning and...

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...

NVIDIA Needed A CPU, But Did It Need To Buy Arm To Get One?

I often opine that NVIDIA needs a data center-class CPU to compete with Intel and AMD, both of whom have used tightly-coupled CPU/GPU technology to win the first three U.S. exascale supercomputer deals. Connecting massive GPUs to fast CPUs over a painfully slow PCIe...

Cerebras Announces Pay-As-You-Go AI Training On Cirrascale Cloud

Company claims it can train AI 8X faster than AWS at half the cost for large models.Cerebras is not your typical AI chip company. And thats a good thing. We already have a lot of knock-offs taking on NVIDIA, and they all seem to do a good job of knocking only...