The Latest News in AI

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

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...

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The Snapdragon AI Journey

Preparing for the next leap ahead. Qualcomm Technologies, Inc. (QTI) has been researching, developing, and shipping AI acceleration on their Snapdragon processors for the past decade. QTI’s state-of-the-art AI technology is born from smartphones. It leverages its...

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Breaking: AMD Is Not The Fastest GPU; Here’s The Real Data

At the MI300 launch, AMD claimed it had significantly better performance than Nvidia. While the AMD chip does look good, and will probably run most AI just fine out of the box, the company did not use the fastest Nvidia software. The difference is enormous. At a...

New MLPerf Benchmarks Show Why NVIDIA Reworked Its Product Roadmap

Every six months, NVIDIA, Intel and Google show how much their AI training hardware and software have improved while their competitors hide in the bushes. NVIDIA is starting to see some competitive threats but remains the leader, especially in the scale of its...

Qualcomm Ups The Snapdragon AI Game

The leader in premium mobile SoCs has applied AI across the entire platform. At the annual Snapdragon Summit in Hawaii, Qualcomm unveiled the next Snapdragon 8 Gen 2 for premium mobile devices. As usual, it is a tour de force of features that make Qualcomm-powered...

Skipping Nvidia Left Amazon, Apple And Tesla Behind In AI

Everyone thinks they are a comic. And everyone in big cap high tech thinks they can design better and/or cheaper AI chip alternatives to the industry-leader, Nvidia. Turns out, it’s simply not that easy. Apple and AWS have recently run aground in AI growth, and Tesla...

The US CHIPS Act Shines Spotlight On IBM Semiconductor Technology

The recent legislation creates an opportunity for IBM to play a pivotal role in a resurgent US semi industry. One day, soon I hope, I hope to write a story about IBM hardware without first correcting the misconception that the IT company has exited the hardware...

Intel’s New Chips Focus On AI

Today, Intel launched and disclosed new technologies across its portfolio of processors, with special emphasis on enhanced AI capabilities. Unlike its many competitors, who either produce a CPU, a GPU, an FPGA or an AI-specific accelerator, Intel’s strategy is “all of...

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...

NVIDIA Launches Ampere A100 GPU For Data Center Computing And AI

Figure 1: NVIDIA shared performance comparisons across a range of precisions. Note the huge performance increase for sparse matrix operations. Note the banks of 6 HBM chips. image:NVIDIA While many of us missed watching Jensen Huang on stage in his trademark leather...

Qualcomm Readies CPUs For The Data Center Using Nvidia NVLink Fusion

NVLink has become a second, and perhaps deeper, moat for Nvidia, following its CUDA software tools and libraries. There's a reason the AI community prefers NVLink for connecting multiple GPUs: it is mind-blowingly fast, more than three times the performance of the...

Cadence Design Launches Two New Platforms For Massive Chip Designs

Cadence has updated its platforms that supports chip design teams, offering more than 2X more capacity and 1.5X faster performance than the previous generation and can support chips up to 48 billion gates. Designing and testing chips is constantly becoming more...