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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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...

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...

Qualcomm AI Research Innovates 3D Perception Techniques

The trick of AI at the edge is reducing complexity while maintaining accuracy. And that takes a lot of primary research. When we explored the eight “AI Firsts” from Qualcomm AI Research earlier this year, it was clear to us the company’s full-stack approach to AI...

NVIDIA L40S: A Datacenter GPU For Omniverse And Graphics That Can Also Accelerate AI Training & Inference

I’m getting a lot of inquiries from investors about the potential for this new GPU and for good reasons; it is fast! NVIDIA announced a new passively-cooled GPU at SIGGRAPH, the PCIe-based L40S, and most of us analysts just considered this to be an upgrade to the...

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...

IBM Announces Next Telum Mainframe Processor With AI Accelerators

IBM has announced the Telum II Processor with shared on-chip AI and, perhaps surprisingly, the Spyre Accelerator, delivered on a PCIe card and designed to accelerate AI models, including LLM Generative AI. The new chips will ship in the yet-to-be-announced...

Nvidia And Cadence Claim Breakthrough In AI-Powered Chip Design

AI silicon complexity is outpacing engineering scale—even at NVIDIA’s headcount. Autonomy is becoming existential, not a nice-to-have. And EDA vendors are rusing in to fill that need. In February, Cadence Design rocked the chip world by announcing they had developed...

Qualcomm Makes Its Push For PC Relevance, Leading With AI

Qualcomm gave us an end-of-year update on the new Snapdragon X Elite, the company’s bold effort to create an Arm-based PC ecosystem. The future looks bright, especially if Qualcomm can incentivize ISVs to natively port to Arm. Last September, Qualcomm focused its...

IBM And Rapidus Will Collaborate To Build 2nm Chips In Japan.

IBM, who invented the tech everyone will use to create 2nm silicon, is partnering with Rapidus to bring it to market The world now realizes that major economies need to have reliable and secure access to semiconductors, the heart of the digital economy, not to mention...

NVIDIA And Intel Publish First GPT3 Benchmarks; AMD, AWS, And Google Are MIA

Let’s look into the results and explore why so many competitors chose not to play ball. Those who follow me know the drill: MLCommons publishes benchmarking results every 3 months, alternating between inferencing and training. Then I explain the results and whine...