The Latest News in AI

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

NVIDIA DPU & Intel IPU: Game Changers Or Just Smart NICs?

by Karl Freund | Aug 2, 2021 | In the News

Intel has joined the fray to create a new category of Smart Network Interfaces, but with a different strategy than NVIDIA. Back in 2020, when we were all still afraid to leave our homes, NVIDIA launched what it said was a new kind of processor that combined the...

Qualcomm’s Vision: The Future Of … AI

by Karl Freund | Jul 19, 2021 | In the News

Mobile Chip Leader’s AI Starts In Mobile, And Grows To The Clouds Company acquires assets from Twenty Billion Neurons GmbH to bolster its AI Team. Qualcomm Technologies (QTI) is running a series of webinars titled “The Future of...”, and the most recent edition is on...

News Flash: NVIDIA Remains The Fastest Available AI Accelerator

by Karl Freund | Jul 5, 2021 | In the News

Ok, while that is hardly surprising news, given the comfortable lead NVIDIA enjoys, Google’s upcoming TPUv4 out-performed NVIDIA on three of eight benchmarks on a chip-to-chip basis, while Graphcore’s performance and price/performance is in the ball park. Meanwhile,...

Q2 Competitive Update: The AI Cambrian Explosion Rolls On

by Karl Freund | Jun 10, 2021 | In the News

A lot of new AI Silicon and Software has been announced since March and it can be tough to keep track of it all. To help users, vendors, and investors keep track, our June Competitive Landscape Report is now available, and for a limited time, the ~70-page report is...

Xilinx Readies Versal AI Edge For 2022 Availability

by Karl Freund | Jun 9, 2021 | In the News

Platform includes updated AI Engine with 4- and 8-bit integer math, along with new memory architecture. Xilinx has just launched the first edge model of the flexible Versal ACAP (Adaptive Compute Acceleration Platform) family, the third Versal to be announced in...

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Qualcomm Is Still The Most Efficient AI Accelerator For Image Processing

by Karl Freund | September 29, 2022 | In the News | 0 Comments

Company’s recent design wins will help Qualcomm turn MLPerf benchmarks into sales. AI energy efficiency matters! Ever since Qualcomm announced its first-generation cloud edge AI processor, the Qualcomm Cloud AI 100, the company has been at the top of the leader board...

Will Nvidia GTC Mark The Peak Of AI?

by Karl Freund | March 6, 2024 | In the News | 0 Comments

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...

IBM Nears Breakthrough In New Memory Class

by Karl Freund | March 10, 2021 | In the News | 0 Comments

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...

Eliyan Technology May Rewrite How Chiplets Come Together

by Karl Freund | April 4, 2023 | In the News | 0 Comments

Company’s interconnect eliminates the need for expensive interposers, accelerating AI processing; could double the amount of memory for AI like ChatGTP, saving millions. Artificial Intelligence is finally having its iPhone moment. The launch of ChatGPT led to waves of...

Qualcomm Researches AI Techniques That Could Enhance The Wireless Experience

by Karl Freund | July 7, 2022 | In the News | 0 Comments

AI Research at Qualcomm Technologies is advancing wireless communications and RF location sensing. Wireless communications and RF sensing technologies continue to advance with 5G rolling out now and 5G Advanced in the wings. In order to sustain a high...

Qualcomm Research Examines On-Device AI Learning

by Karl Freund | March 23, 2022 | In the News | 0 Comments

On-device training capability would enhance the user experience while protecting privacy. We’ve all had those frustrating experiences with our mobile phones when the voice assistant seems to possess artificial stupidity instead of artificial intelligence. The real...

What NVIDIA Will Say At Hotchips‘22

by Karl Freund | August 31, 2022 | In the News | 0 Comments

“We are the Accelerated Data Center”: GPU’s, CPUs, Networking and Systems. As anyone not comatose knows, today’s modern data center workloads — like AI, HPC, and machine learning — absolutely demand acceleration. And the appetite for acceleration seems insatiable, in...

Following MSFT & GOOG Lead, AWS Embraces Nvidia And Upgrades Own Chips

by Karl Freund | November 29, 2023 | In the News | 0 Comments

As expected, Amazon AWS CEO Adam Selipsky announced updated AWS-engineered AI Training and Arm CPU chips to lower the cost of cloud services. But AWS has a problem: they have kept Nvidia at arm’s length to their detriment as Microsoft Azure increases market share. To...

Could Graphcore’s Second Chip Challenge NVIDIA?

by Karl Freund | July 29, 2020 | AI and Machine Learning, In the News | 0 Comments

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...

The Graphcore Data Center Architecture

by Karl Freund | April 7, 2021 | DataCenter AI, In the News | 0 Comments

The Graphcore disaggregated accelerator could be a game changer. I have recently finished a research paper looking into the data center architecture for deploying the Graphcore IPU-Machine, which is a network-attached accelerator for highly-parallel workloads. Lets...