The Latest News in AI

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

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...

Did AMD Just Beat Nvidia In AI Performance?

AMD, Nvidia and Intel participated in the most recent round of MLPerf inference benchmarks. While I was surprised that Google didn’t participate with their new Ironwood TPU, there is still plenty to talk about. This particular round of MLPerf benchmarks makes it...

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...

EDA Vendors Help Intel Get The USA Back Into Chip Manufacturing

The US Semiconductor industry desperately needs to rebuild the country’s ability to produce the advanced chips that are the cornerstone of AI and every electronic device you can imagine. Most of those chips are built today in Taiwan by TSMC. Merely the thought of any...

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...

BrainChip Readies 2nd Gen Platform For Power-Efficient Edge AI

The company’s event-based digital Neuromorphic IP can add efficient AI processing to SoCs. Edge AI is becoming a thing. Instead of using just an embedded microprocessor in edge applications and sending the data to a cloud for AI processing, many edge companies are...

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 Gets Into The Inference Market With A Bang

Cerebras’ Wafer-Scale Engine has only been used for AI training, but new software enables leadership inference processing performance and costs. Should Nvidia be afraid? As Cerebras prepares to go public, it has expanded its target markets and competitive stance by...

Nvidia’s New HW Alleviates Concerns For Blackwell Transition

I awoke Sunday morning to an article in The Information written to instigate fear, uncertainty and doubt amongst Nvidia investors and users. Don’t worry. Nvidia’s got this. The article circulating this weekend highlighted the thermal challenges some customers face...

MLPerf 5.1: Nvidia Stays In The Lead While AMD Shows Off Its Latest

The Nvidia juggernaught faces increased competition, but keeps innovating in silicon, software and systems design to keep its No. 1 position in the AI market. The industry standard MLCommons organization has just released the latest benchmarks for inference...