The Latest News in AI

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

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...

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Why Intel Is Investing In Neuromorphic Computing

Intel certainly has a lot of irons in the AI fireplace, including Xeon CPUs, Movidius computer vision chips, MobileEye chips for autonomous driving and Deep Neural Network training and inference processing technology from the newly acquired Habana Labs. With all of...

Cerebras, 23’s Most Successful AI Startup, Sees A Bright Future

With revenue and customer commitments approaching $1B, Cerebras’ Wafer Scale Engine has likely generated more business than all other startup players combined. Needless to say, CEO Andrew Feldman is feeling pretty bullish about 2024. As previously discussed, Cerebras...

Can Groq Really Take On Nvidia?

The Silicon Valley startup has just raised an astonishing $640M in additional funding, and is valued at $2.8B. Have they captured AI Lightning in a bottle? Groq has announced a $640M Series D round at a valuation of $2.8B, led by BlackRock Private Equity Partners....

IBM Research Secures Future Safe From Quantum Attacks

Quantum computing will bring unimagined innovations to the world when it finally arrives in full glory. Still, quantum remains in the research labs at companies like IBM, Google, and Microsoft. While companies and research institutions are investing billions of...

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...

AMD Narrows The gap With Nvidia In New MLPerf Benchmarks

New benchmark results from AMD, Untether AI, Google, Intel, and Nvidia demonstrate the converging AI silicon performance competition. However, system design, networking, and software make AI sing and dance. And that’s where Nvidia excels. Finally, I can stop whining...

IBM Launches Granite 3.0 AI Models; Smaller, Faster, And 97% Cheaper

The newly optimized LLMs underpin AI transformation client engagements with IBM Consulting Advantage and Watsonx. The industry has been abuzz about the affordability of LLM-based generative AI. If we don’t improve the efficiency, users will struggle to achieve an...

Qualcomm Cloud AI 100 Is 3X More Efficient. What’s Missing?

New MLPerf benchmarks lay a solid foundation; now the company needs to finish the job. As the Cambrian Explosion reverberates across the landscape of AI chips, the benchmarking silence of many challengers stands in sharp contrast to their marketing hype. Most are...

A Look At Graphcore’s AI Software

Software for new processor designs is critical to enabling application deployment and optimizing performance. UK-based startup Graphcore, the unicorn provider of silicon for application acceleration, places significant emphasis on software, dedicating roughly half its...

Qualcomm Cloud AI100 Ultra: 4 Times The Performance For Large Models

We haven't heard from Qualcomm in a while regarding their power-efficient data center inference accelerator, which still holds the record for power efficiency, according to MLCommons benchmarking. Now Qualcomm has announced a new “Ultra” version that delivers four...