The Latest News in AI

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

What NVIDIA Will Say At Hotchips‘22

“We are the Accelerated Data Center”: GPU’s, CPUs, Networking and Systems. As anyone not comatose knows, today’s modern data center workloads — like AI, HPC, and machine learning — absolutely demand acceleration. And the appetite for acceleration seems insatiable, in...

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OpenAI’s Deep Research Demands More Hardware, Not Less

Discussions about Deep Seek’s impact on Nvidia is everywhere. Yesterday, I heard an investor on CNBC’s "Fast Money" program pontificate that Deep Seek and its disruptive technology mean that “Nobody needs an Nvidia H100 anymore,” much less a Blackwell. I struggle to...

Cerebras Systems Lays The Foundation For Huge Artificial Intelligence

Startup announces technology to enable a 120-trillion-parameter model on the way to brain-scale AI. OK, I thought I was done with preparing for HotChips, having prepared six blogs and three research papers. I was ready to take a few days off. Nonetheless, I decided to...

The Cambrian AI Landscape: NVIDIA, The 800Lb Gorilla

NVIDIA is the 800 lb. gorilla in the AI hardware space. The company invests heavily in silicon, systems, and software to maintain that leadership position. This blog is an excerpt from the AI Competitive Landscape Report which is available to subscribers. Early...

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

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....

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

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...

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...

Could Graphcore’s Second Chip Challenge NVIDIA?

Graphcore, a UK-based startup, launched its first Intelligence Processing Unit (IPU) for AI acceleration in 2018. Today it introduced its second-generation product for AI, a massively parallel chip with 59.4 billion transistors that delivers some 250 Trillion...

Cadence AI Can Increase Chip Design Quality And Chip Designer Productivity Over 1000%

EDA company’s clients have finished hundreds of new tapeouts using Cadence Cerebrus AI to speed development and make chips that run faster, use less energy, and cost less. For Cadence, AI is all about increasing engineering teams’ productivity, speeding higher...

The Cambrian AI Landscape: Cerebras Systems

This startup stands alone with its innovative Wafer-Scale Engine for AI and HPC Let’s take an updated look at one of the most interesting AI startups: Cerebras, which came out of stealth in August 2019. The company has an unheard-of aggressive design, using an entire...

NVIDIA GTC: “DPU” Smart NIC And More

NVIDIA Co-founder and CEO Jensen Huang rarely disappoints his audience nor his investors. This week he once again delivered the goods at the GPU Technology Conference. Announcing a broad range of hardware and software innovations, Jensen made it clear that he intends...