The Latest News in AI

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

NVIDIA Is Not A Chip Company. It’s A Platform Company.

by Karl Freund | Nov 9, 2021 | In the News

NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...

AMD Launches New GPU And EPYC CPU Right Across NVIDIA’s Bow

by Karl Freund | Nov 8, 2021 | In the News

The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...

IBM Research and NeuReality Announce Partnership For AI

by Karl Freund | Nov 2, 2021 | In the News

NeuReality is the first Licensee of IBM’s reduced-precision core for AI IBM (NYSE: IBM) and NeuReality, an Israeli AI systems and semiconductor company, have signed an agreement to develop the next generation of high-performance AI inference platforms. IBM and...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

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

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....

Intel Challenges AMD And NVIDIA With New AI Technologies Amid Renewed Developer Commitments

by Karl Freund | Oct 27, 2021 | In the News

Upcoming CPU and GPU technologies require increased support for the development community, including eleven new development partners and new tooling. Concurrently, and not coincidently, Amazon announces availability of Intel Habana Gaudi on AWS. In 1997, Pat...

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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...

Micron Looks To Be First To Market With HBM3 Update For Generative AI And HPC

by Karl Freund | July 26, 2023 | In the News | 0 Comments

According to the company, the new Gen-2 of HBM increases memory capacity by 50%, with another bump in the works for 2024. As you may have heard, in addition to NVIDIA GPUs, generative AI eats memory for lunch. And dinner. In fact, running ChatGPT takes 8 or 16 GPUs...

d-Matrix Emerges From Stealth With Strong AI Performance And Efficiency

by Karl Freund | November 19, 2024 | In the News | 0 Comments

Startup launches “Corsair” AI platform with Digital In-Memory Computing, using on-chip SRAM memory that can produce 30,000 tokens/second at 2 ms/token latency for Llama3 70B in a single rack. Using Generative AI, called inference processing, is a memory-intensive...

Why Intel Is Investing In Neuromorphic Computing

by Karl Freund | April 3, 2020 | AI and Machine Learning, In the News | 0 Comments

Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference processing technology from the newly acquired Habana Labs. With all of...

Enhanced Memory Grace Hopper Superchip Could Shift Demand To NVIDIA CPU And Away From X86

by Karl Freund | August 8, 2023 | In the News | 0 Comments

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing. The AI landscape continues to change rapidly, and fast memory (HBM)...

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...

Intel Lays Out Strategy For AI: It’s Habana

by Karl Freund | February 14, 2020 | AI and Machine Learning, In the News | 0 Comments

Last month, Intel announced that it would acquire Israeli AI chip startup Habana Labs for $2B. At the time, I opined that this probably spelled the end for chips from the 2016 Nervana acquisition. Intel planned to bring out both the inference and the training versions...

Using A Digital Twin To Manage A Sustainable Flexible Data Center

by Karl Freund | July 11, 2023 | In the News | 0 Comments

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...

Blaize AI: Now In Production And Trials

by Karl Freund | August 31, 2020 | AI and Machine Learning, In the News, Semiconductor | 0 Comments

Last November I covered Blaize and its silicon and software strategy, and noted that the company’s fairly large team has been focused on early customer engagements to gain insights and accelerate adoption. Now the company, backed by industrial heavyweights such as...

Xilinx Readies Versal AI Edge For 2022 Availability

by Karl Freund | June 9, 2021 | In the News | 0 Comments

Platform includes updated AI Engine with 4- and 8-bit integer math, along with new memory architecture. Xilinx has just launched the first edge model of the flexible Versal ACAP (Adaptive Compute Acceleration Platform) family, the third Versal to be announced in...