The Latest News in AI

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

IBM Nears Breakthrough In New Memory Class

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not last forever. Primary computer memory (Dynamic Random Access Memory, or...

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The Cambrian AI Landscape: Qualcomm

Can the mobile chip giant finally break into the data center? Qualcomm began sampling the Cloud AI100 to select data center customers last quarter.  The performance looks to be promising, based on the limited benchmarks we have seen, and the power efficiency for...

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AI Cambrian Explosion: 2021 Predictions

For the last two years, in January, I have published my predictions about the new AI silicon I expect in the coming year. Like the weatherman, I’ve gotten some details wrong but I’ve been reasonably accurate, at least directionally. So, here we go again with a look at...

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The Cambrian AI Landscape: GROQ

Ex-Google TPU engineers have been there and done that! Startup Groq is now sampling its AI platform to select customers and claims to have built the most efficient DNN processor in the industry. However, we need more transparency to substantiate this claim, in my...

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If The Arm Deal Fails, NVIDIA Is Fine, But Arm May Struggle

European regulators are again expressing concerns about the impact on competition. But the alternatives for Arm could be worse. NVIDIA does not need to acquire Arm to keep growing like a weed. The acquisition would add to NVIDIA’s revenue and growth, to be sure, but...

Promising Returns For Synopsys.ai Suite Of AI Solutions

Synopsys is seeing strong demand for its newer AI technologies in test, verification, manufacturing and analog migration, in addition to the ongoing need for design optimization (DSO.ai). Synopsys was the first Electronic Design Automation (EDA) company to provide AI...

NVIDIA DGX Cloud Gives CSPs And Their Customers Exactly What They Want: Fast AI, Fast

NVIDIA’s offering integrates the company’s best GPU hardware and software into AI Supercomputers of virtually any size in the cloud, enabling enterprises to build and deploy AI without infrastructure hassles. While some may confuse this as NVIDIA competing with cloud...

Qualcomm Doubles Down On Automotive With New Snapdragon Platforms

A car that thinks, plans ahead, entertains, saves time, and ensures a safe and comfortable ride depends on AI-enabled silicon. Can Qualcomm Snapdragon become the leader in this revolution? They already have. The annual Snapdragon Summit (as usual, located in beautiful...

As we said, Google is the Exception to the Rule!

The latest TPU and the upcoming Ironwood supercomputer were just the start Google is taking the next step in its quest to become a serious challenger to Nvidia GPUs. As I recently noted in my post on CSP silicon costs and failures, Google is the exception. Google...

AMD Launches New GPU And EPYC CPU Right Across NVIDIA’s Bow

The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...

Cerebras Announces Pay-As-You-Go AI Training On Cirrascale Cloud

Company claims it can train AI 8X faster than AWS at half the cost for large models.Cerebras is not your typical AI chip company. And thats a good thing. We already have a lot of knock-offs taking on NVIDIA, and they all seem to do a good job of knocking only...

IBM Invests In AI Hardware

While the IBM hardware business today is limited to POWER and Mainframe chips and systems, the technology giant is quietly building its expertise and capabilities in AI hardware. Where this could end up is anybody’s guess, but here are a few thoughts about what IBM is...

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...

Untether AI Touts “At-Memory” Architecture, Promising Efficiency And Performance At The Edge

Every AI hardware startup begins at square one: design a novel architecture to accelerate deep neural network training and inference processing. Some focus on training, where performance is king, where even price is a secondary consideration in these early days of AI....