The Latest News in AI

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

Our Year-End Newsletter

With the end of the year at hand, we first want to thank you for being a follower of Cambrian-AI Research, and share a few thoughts about the industry. Our community has grown tremendously thanks to you reading our many blogs on Forbes. EE Times, and on this...

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NVIDIA Performance Trounces All Competitors Who Have The Guts To Submit To MLPerf Inference 3.0

But power matters, too. Qualcomm and SiMa.ai win in Edge Data Center and Embedded Edge respectively, while Neuchips wins in data center recommendations for power. Big News! There is a potential solution on the horizon to vastly broaden the field of benchmark...

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’...

Cerebras AI Lands A Whale As It Prepares To Go Public

Cerebras, famous for being the only AI company with a full wafer-scale chip, has landed OpenAI, its first major US-based hyperscaler. Prior to this deal, Cerebras has been successful securing investments and system commitments from a relatively small number of...

NeMo Megatron Reinforces NVIDIA AI Leadership In Large Language Models

LLMs are changing AI, and NVIDIA is changing its platform to excel in this fast-growing field Alberto Romero, Cambrian-AI Analyst, contributed to this story Transformer-based large language models (LLMs) are reshaping the AI landscape today. Since OpenAI established...

AMD Launches MI325 AI Accelerator To Challenge Nvidia. Stock Fell 4.5%

Chasing Nvidia is hard; Team Green simultaneously countered with new software that can triple AI performance. Consequently, AMD’s performance claims are already out of date. And AMD compared it against the older Hopper, not Blackwell which will ship long before the...

Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

Promising Returns For Synopsys.ai Suite Of AI Solutions

Synopsys is seeing strong demand for its newer AI technologies in test, verification, manufacturing and analog migration, in addition to the ongoing need for design optimization (DSO.ai). Synopsys was the first Electronic Design Automation (EDA) company to provide AI...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

IBM Research And The Full Stack Approach To Innovation

IBM’s vaunted research organization, one of the largest in the industry, thinks the path to innovation is to be taken as a team with clients and partners exploring the full stack needed to address a business challenge. We had a chance this week to hear how IBM...