The Latest News in AI

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

Agentic AI Reshapes Nvidia Strategy Beyond GPUs At GTC

Donning his signature black leather jacket, Nvidia Founder and CEO Jensen Huang once again wowed his fans, totaling over 30,000 in the San Jose’s SAP Arena, with dazzling technology and extreme claims, including the company’s first post-GPU product. Agentic AI took...

With MLPerf, NVIDIA Wins, AGAIN!

While the new H100 GPU shows off its Transformer Engine in MLPerf, Intel advances with Gaudi-2 accelerator, and MosaicML shows A100 results nearly as good as H100 with their software. Every six months, MLCommons orchestrates and publishes on mlcommons.org over one...

IBM Nears Breakthrough In New Memory Class

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

BrainChip Sees Gold In Sequential Data Analysis At The Edge

Unlike in image processing or large language models, few AI startups are focused on sequential data processing, which includes video processing and time-series analysis. BrainChip is just fine with that. With all the buzz around LLM generative AI, it is understandable...

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...

Cerebras Gets Into The Inference Market With A Bang

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

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...

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...

Tenstorrent Could Reshape The AI And CPU Competitive Landscape

Now led by Jim Keller, the company has built a new leadership team and a new strategy. It has tremendous potential. Now it must execute. Introduction It is hard to believe the difference a year makes. In 2021, there were over 100 public and venture-backed startups...

RISC-V Startup Esperanto Technologies Samples First AI Silicon

Select customers are now evaluating the chip; early results look promising across a broad range of AI workloads Esperanto has been talking about their edge AI chips for several years, and now the company can demonstrate working AI acceleration for image, language, and...