The Latest News in AI

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

MLPerf Training 4.0: It’s All About Scale

by Karl Freund | Jun 12, 2024 | In the News

While there isn’t a lot of new hardware (none!), Nvidia and Intel show off their muscles and ability to run new models at scale. Ok, here we go again. MLCommons has released new AI benchmarks, this time for training. And again. Nvidia runs all AI models better than...

Nvidia Matures Its AI, While AMD Plays Catchup At Computex

by Karl Freund | Jun 3, 2024 | In the News

Nvidia broadens its reach to ensure that AI delivers on its promises. AMD is building faster chips, faster. The Market appears to prefers the former: Nvidia is up nearly 5%, while AMD is down ~2.5% today. Which is better? Well Elon Musk said Sunday on X that his xAI...

Qiskit Comes Of Age With Quantum Performance, New Features From IBM

by Karl Freund | May 15, 2024 | In the News

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...

MediaTek Aims To Become A Player In Huge Markets

by Karl Freund | May 10, 2024 | In the News

MediaTek mobile phone SoCs have historically been considered a) Asian, and b) low end. Thats all about to change with their Dimensity 9300 chip, which also enables entry into markets like the IoT and automotive, where the company is partnering with Nvidia for Advanced...

Cadence Design Launches Two New Platforms For Massive Chip Designs

by Karl Freund | Apr 17, 2024 | In the News

Cadence has updated its platforms that supports chip design teams, offering more than 2X more capacity and 1.5X faster performance than the previous generation and can support chips up to 48 billion gates. Designing and testing chips is constantly becoming more...

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The View From The AI HW Summit: What Was The Best AI HW In 2021?

by Karl Freund | September 14, 2021 | In the News | 0 Comments

The Summit is full of newsworthy announcements this week! I present a look back to help kick off the event... Today I present my annual AI industry overview at the AI Hardware Summit. This is the fourth annual event with nearly all the AI hardware vendors talking...

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

by Karl Freund | September 20, 2023 | In the News | 7 Comments

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...

New Fabrics Enable Efficient AI Acceleration

by Karl Freund | July 11, 2025 | In the News | 0 Comments

While GPU performance has been the focus in data centers over the last few years, the performance of fabrics has become a key enabler or bottleneck in achieving the throughput and latency required to create and deliver artificial intelligence at scale. Nvidia’s...

Hyundai And Samsung Lead $100M Investment Round In Tenstorrent

by Karl Freund | August 2, 2023 | In the News | 0 Comments

Partners make great investors because their intent is to secure influence and gain access to advanced technology. Hyundai Motor Group and the Samsung Catalyst Fund have co-led a $100M investment in Tenstorrent, and both companies plan to use Tenstorrent’ tech. I love...

Cerebras Unveils AI Supercomputer-On-A-Chip

by Karl Freund | September 10, 2019 | AI and Machine Learning, In the News | 0 Comments

Today unicorn startup Cerebras disclosed a few details about the wafer-scale AI chip it has been keeping under wraps for some three years. While many unanswered questions remain, the new approach could mark a significant milestone in the semiconductor industry, where...

AI Is Reshaping Chip Design. But Where Will It End?

by Karl Freund | December 19, 2023 | In the News | 0 Comments

Using AI reduces design costs, improves yields and performance, and shortens time-to-market for better chips. Synopsys, Cadence Design Systems, and many hyperscal chip designers are now adopting generative AI capabilities to facilitate chip design. Think of this as...

D-Matrix AI Chip Promises Efficient Transformer Processing

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

Startup combines Digital In-Memory Compute and chiplet implementations for data-center-grade inferencing. This article was written by Cambrian-AI Analysts Alberto Romero and Karl FreundD-Matrix was founded in 2019 by two veterans in the field of AI hardware, Sid Sheth...

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

by Karl Freund | December 1, 2021 | In the News | 0 Comments

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...

Cerebras Gets Into The Inference Market With A Bang

by Karl Freund | August 27, 2024 | In the News | 0 Comments

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

AMD Goes After NVIDIA With New GPU For The Datacenter

by Karl Freund | December 2, 2020 | AI and Machine Learning, DataCenter AI, In the News, Semiconductor | 0 Comments

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...