The Latest News in AI

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

A Closer Look At Graphcore ML Performance

Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...

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Is Graphcore’s Ecosystem Reaching A Tipping Point?

Company’s open-source software has matured significantly, and now the development community is taking over some of load. Graphcore has made significant advancements since we published the original version of our research paper on the company’s software in May 2020. We...

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...

How AI Changes The Role Of Memory Companies And Their Value

As GPU’s become a bigger part of data center spend, the companies that provide the HBM memory needed to make them sing are benefitting tremendously. AI system performance is highly dependent on memory capacity, bandwidth and latency. Consequently, memory technology is...

Using A Digital Twin To Manage A Sustainable Flexible Data Center

Cadence’s acquisition of Future Facilities in 2022 opened the door to large data centers, and provides the company with the ability to manage power and cooling just when data centers need help the most as AI surges. Suppose you are running a data center, racks full of...

Xilinx Enters The SmartNIC Market

The CPU in today’s data center is increasingly burdened by the need to process networking jobs. According to Xilinx’s VP Marketing for Data Center Products, Donna Yasay, networking stacks can tax CPUs up to 30%, robbing them of the cycles needed to run users’...

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...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

OpenAI’s Deep Research Demands More Hardware, Not Less

Discussions about Deep Seek’s impact on Nvidia is everywhere. Yesterday, I heard an investor on CNBC’s "Fast Money" program pontificate that Deep Seek and its disruptive technology mean that “Nobody needs an Nvidia H100 anymore,” much less a Blackwell. I struggle to...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

Story Correction: TechSpot Now Says AMD Believes That “AI Will Be Important To All Our Products Going Forward”

TechSpot has issued a retraction, says the reporter ‘misrepresented’ AMD spokesperson… this article has been subsequently updated…. TechSpot issued a correction on their interview with Justin Galton of AMD, noting “…unfortunately the source for that story...