The Latest News in AI

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

Speeding AI With Co-Processors

Most chips today are built from a combination of customized logic blocks that deliver some special sauce, and off-the-shelf blocks for commonplace technologies such as I/O, memory controllers, etc. But there is one needed function that has been missing; an AI...

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Is The AMD GPU Better Than We Thought For AI?

MosaicML, just acquired by DataBricks for $1.3B, published some interesting benchmarks for training LLMs on the AMD MI250 GPU, and said it is ~80% as fast as an NVIDIA A100. Did the world just change? To be brutally honest, everyone wants to see a fight, between AMD...

NVIDIA Now Offers A Comprehensive Platform For Enterprise AI

Enterprises have been slow to adopt AI in a big way. Recent forecasts predict that is about to change, and NVIDIA wants to reap the benefits. Enterprise IT organizations can easily be put off by the amount of new technology they will have to master in order to adopt...

How To Run Large AI Models On An Edge Device

It can be done, but it requires the edge device vendor to work to optimize the model. A hybrid approach can also extend the applicability of LLMs by combining Cloud and Edge processing. When most people think of Artificial Intelligence (AI), they imagine a berserk...

Hot Chips Concludes An Amazing Lineup of AI Chip Companies.

Every year, I promise not to attend this tech-heavy confab of fast chips. And every year, I break that promise. Just too much to ignore! I can deal with it: some technology is just beyond my pay grade. My masters in CS is decades old, and the deep technology...

Xilinx Reveals More Versal Details

Xilinx held an “Innovation Day” event this week to share more details about the technologies the company hopes will forge a larger footprint in the data center. After listening to eight presentations and having intriguing discussions with the company’s leading...

Cerebras Publishes 7 Trained Generative AI Models To Open Source

The AI company is the first to use Non-GPU tech to train GPT-based Large Language Models and make available to the AI community. The early days of an open AI community, sharing work and building on each other’s success, is over. As there is now much more money at...

IBM Doubles Down On Its AI Cloud

IBM Research has doubled the capacity of its Vela AI Supercomputer, part of the IBM Cloud, to handle the strong growth in watsonx models and has aggressive plans to continue to expand and enhance AI inferencing with its own accelerator, the IBM AIU. A year ago, IBM...

NVIDIA Runs The Mlperf Table

When the mlperf (machine learning performance) organization released the first standardized AI training benchmarks, which NVIDIA dominated last December, we were somewhat disappointed that only a few companies, namely NVIDIA, Google and Intel, were able to muster the...

Qualcomm’s Vision: The Future Of … AI

Mobile Chip Leader’s AI Starts In Mobile, And Grows To The Clouds Company acquires assets from Twenty Billion Neurons GmbH to bolster its AI Team. Qualcomm Technologies (QTI) is running a series of webinars titled “The Future of...”, and the most recent edition is on...

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...