The Latest News in AI

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

Cadence Design Is Working With Renesas To Build The World’s First LLM Tool For Up-Front Chip Design

The company sees this as an augmentation, not a replacement, for its portfolio of reinforcement learning AI tools that improve the productivity of chip design teams, addressing the most challenging part of chip design. Cadence has been aggressively rolling out...

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...

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

Cerebras Lands Huge AI Deal: A 36 Exaflop Monster

The Wafer-Scale Engine company has been working for 8 years to break into the top tier of AI computing. This deal might just assure its success. We have been watching Cerebras for a long time, from its launch of the first wafer-scale engine for AI to its recent...

Synopsys, Cadence, Google And NVIDIA All Agree: Use AI To Help Design Chips

Synopsys created a buzz in 2020, and now Google, NVIDIA, and Cadence Design have joined the party. What lies ahead? Introduction Designing modern semiconductors can take years and scores of engineers armed with state-of-the-art EDA design tools. But the semiconductor...

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’...

AI Hardware: Harder Than It Looks

The second AI HW Summit took place in the heart of Silicon Valley on September 17-18, with nearly fifty speakers presenting to over 500 attendees (almost twice the size of last year’s inaugural audience). While I cannot possibly cover all the interesting companies on...

New Cerebras Wafer-Scale Cluster Eliminates Months Of Painstaking Work To Build Massive Intelligence

The architecture eliminates the need to decompose large models for distributed computing to train: Push-button AI? The hottest trend in AI is the emergence of massive models such as Open AI’s GPT-3. These models are surprising even its developers with capabilities...

Intel Announces Neuromorphic Loihi 2 AI HW And Lava SW

Intel Research believes that brain-like Neuromorphic computing could hold the key to AI efficiency and capabilities. Intel has announced the availability of the second generation “Loihi” chip to further research into neuromorphic computing techniques that more closely...

The Cambrian AI Landscape: GROQ

Ex-Google TPU engineers have been there and done that! Startup Groq is now sampling its AI platform to select customers and claims to have built the most efficient DNN processor in the industry. However, we need more transparency to substantiate this claim, in my...