The Latest News in AI

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

Is Graphcore’s Ecosystem Reaching A Tipping Point?

by Karl Freund | Feb 8, 2022 | In the News

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...

NVIDIA Acquires Bright Computing For Cluster Management

by Karl Freund | Jan 24, 2022 | In the News

Privately-held Bright is a favorite of HPC users, and will reinforce NVIDIA’s strategy of providing full-stack solutions for Enterprise HPC and AI. Bright Computing has been around since 2009, providing large-scale cluster management for HPC installations. The...

A Closer Look At Graphcore ML Performance

by Karl Freund | Jan 3, 2022 | In the News

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...

The IBM Research AI Hardware Center: Solid Progress, Aggressive Goals

by Karl Freund | Dec 3, 2021 | In the News

IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...

NVIDIA Again Claims The Title For The Fastest AI; Competitors Disagree

by Karl Freund | Dec 1, 2021 | In the News

Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...

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IBM Research Innovates “Serverless” Approach To Quantum

by Karl Freund | September 7, 2022 | In the News | 0 Comments

Quantum computing promises near-miraculous performance, but it comes with a lot of caveats. Most importantly, the problem being solved must be amenable to expression into the quantum “circuits” that can run on todays hardware. But what if only parts of the problem fit...

Meta Builds World’s Largest AI Supercomputer With NVIDIA For AI Research And Production

by Karl Freund | February 8, 2022 | In the News | 0 Comments

There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...

Cerebras Files For The Very First Generative AI IPO

by Karl Freund | October 2, 2024 | In the News | 0 Comments

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...

Ventana Micro Brings RISC-V Into The Data Center

by Karl Freund | October 29, 2022 | In the News | 0 Comments

Company hopes to match or even exceed x86 and Arm performance for data center infrastructure and applications. The data center is becoming more heterogeneous in terms of customized processors, accelerating new workloads across the infrastructure to optimize data...

IBM Research Secures Future Safe From Quantum Attacks

by Karl Freund | October 10, 2022 | In the News | 0 Comments

Quantum computing will bring unimagined innovations to the world when it finally arrives in full glory. Still, quantum remains in the research labs at companies like IBM, Google, and Microsoft. While companies and research institutions are investing billions of...

My 2026 AI Predictions Have A Few Surprises

by Karl Freund | December 3, 2025 | In the News | 0 Comments

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...

NovuMind: An Early AI Chip Startup

by Karl Freund | June 3, 2019 | AI and Machine Learning, In the News | 0 Comments

Last fall, a bit of nerdy controversy arose around AI chip startup NovuMind when the company announced its first low-power chip for processing neural networks. The company claimed that its patented design could natively process 3-D tensor data far more efficiently...

BrainChip Readies 2nd Gen Platform For Power-Efficient Edge AI

by Karl Freund | March 6, 2023 | In the News | 0 Comments

The company’s event-based digital Neuromorphic IP can add efficient AI processing to SoCs. Edge AI is becoming a thing. Instead of using just an embedded microprocessor in edge applications and sending the data to a cloud for AI processing, many edge companies are...

Intel To Separate Programmable Solutions Group (PSG); IPO Seen In Next 2-3 Years

by Karl Freund | October 3, 2023 | In the News | 0 Comments

Thanks to Microsoft’s appetite for FPGAs in the data center, the programmable hardware chips were a hot story in 2015. So, Intel acquired Altera for $16.7B. Then AMD acquired Altera’s biggest competitor, Xilinx, in 2022 for a whopping $50B. Now, unsurprisingly, Intel...

NVIDIA GTC: “DPU” Smart NIC And More

by Karl Freund | October 22, 2020 | AI and Machine Learning, In the News | 0 Comments

NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends...