The Latest News in AI

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

Qualcomm Becomes A Mobile AI Juggernaut.

As we approach Nvidia GTC, its worth noting that there is another player in town. Or south of town, in San Diego: Qualcomm. The company has been building AI expertise and technology for over a decade, and we believe its lead over mobile rivals in both AI hardware and...

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Will Nvidia GTC Mark The Peak Of AI?

In these explosive times and stock market surges, let’s look at where we might find the nuggets of new growth. Nvidia will focus on additional growth opportunities in Inference processing, Software, Edge, and Automotive; Nvidia is nowhere near Peak AI. Yes, GTC is a...

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Q2 Competitive Update: The AI Cambrian Explosion Rolls On

A lot of new AI Silicon and Software has been announced since March and it can be tough to keep track of it all. To help users, vendors, and investors keep track, our June Competitive Landscape Report is now available, and for a limited time, the ~70-page report is...

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...

NVIDIA Continues To Evolve, From Chips To Software To AI Data Centers

Company’s Computex announcements also expand NVIDIA Certified program to DPU and Arm NVIDIA made several announcements this week in Taiwan, launching new software and services to help enterprises enter the age of AI. NVIDIA’s Manuvir Das, head of Enterprise Computing,...

d-Matrix Emerges From Stealth With Strong AI Performance And Efficiency

Startup launches “Corsair” AI platform with Digital In-Memory Computing, using on-chip SRAM memory that can produce 30,000 tokens/second at 2 ms/token latency for Llama3 70B in a single rack. Using Generative AI, called inference processing, is a memory-intensive...

Intel Innovation: AI Everywhere

That phrase has dual meanings: AI will run everywhere, and AI was everywhere at the event. Pat Gelsinger’s keynote made it clear where Intel plans to innovate: AI. No surprise to anyone with a pulse, to be sure, but his enthusiasm was infectious. Every Intel employee...

NVIDIA Launches New GPUs And Services for Generative AI Inferencing

A new PCI-card with 12 times more inference throughput for large models like ChatGPT and NeMo services for Foundation Model customizations. Jensen Huang was thoroughly enjoying his virtual stage time at this year's GTC event. Why not? His company’s stock is up 80%...

AI Training: “I’m Not Dead Yet!”

With so much focus on inference processing, it is easy to overlook the AI training market, which continues to drive gigawatts of AI computing capacity. The latest benchmarks show that the training of AI models, an immense investment in power and compute, continues to...

Eliyan Technology May Rewrite How Chiplets Come Together

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...

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...

Cerebras Lands Huge AI Deal: A 36 Exaflop Monster

The Wafer-Scale Engine company has been working for 8 years to break into the top tier of AI computing. This deal might just assure its success. We have been watching Cerebras for a long time, from its launch of the first wafer-scale engine for AI to its recent...