The Latest News in AI

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

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...

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SiMa.ai Sets A New Standard In Embedded Edge Power Efficiency

For power-constrained edge applications, SiMa tops the leader, NVIDIA Orin, according to the company’s recent MLPerf results and more. There’s big AI like ChatGPT, and then there is useful AI embedded at the edge. At in these environments, available power could be...

Synopsys Lays Out The Benefits Of AI

At the annual Synopsys User Group Meeting, CEO Aart de Geuss explains the industry dynamics in an engineering world transformed by AI. I won’t start this blog by talking about Chat GPT. You’re tired of hearing about it, right? But the same technology (reinforcement...

The View From The AI HW Summit: What Was The Best AI HW In 2021?

The Summit is full of newsworthy announcements this week! I present a look back to help kick off the event... Today I present my annual AI industry overview at the AI Hardware Summit. This is the fourth annual event with nearly all the AI hardware vendors talking...

What If IBM Z Could Help Stop Fraud?

Last year, IBM launched the z16 with an integrated AI accelerator on each CPU chip. Now, with the infusion of AI into IBM z/OS and a robust AI open-source toolkit, IBM Z customers can realize low-latency AI on a highly trustworthy and secure enterprise system: the...

Cadence Creates “True Hybrid” Cloud For Designers

Instead of having to choose to run on-prem or in the cloud, with attendant upload times and costs, the new True Hybrid offering from Cadence creates a dynamic environment for chip and system design. When creating a new chip, design teams currently have to chose...

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...

Ventana Micro Launches Server-Class RISC-V CPU, Challenging Arm

The company announces the industry’s highest performing RISC-V CPU for SOC designers building domain-specific chips. The semiconductor industry is on the verge of a major transition to chiplet-based designs and domain-specific solutions. And RISC-V, the open-source...

Graphcore And Spell Collaborate For End-To-End ML Operations

Companies also announce free IPU Test Drive with Graphcore AI hardware and Spell software. Building, training, optimizing, and deploying AI models at scale can be excruciatingly difficult. Especially for large models that need to be optimized to run well at scale and...

The NewReality: Fast Inference Processing For 90% Less?

Most of the investment buzz in AI hardware concentrates on the amazing accelerator chips that crunch the math required for neural networks, like Nvidia’s GPUs. But what about the rest of the story? CPUs and NICs that pre- and post-process the query add significant...

Intel Creates $1B Innovation Fund To Grow RISC-V Market (And Attract New Foundry Customers)

This announcement will have a long-lasting impact on the entire semiconductor industry: Intel must fabricate chips for its competitors to grow its foundry business, and is investing in the emerging RISC-V market as the catalyst. Intel competitors Andes Technology,...