The Latest News in AI

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

Nvidia Leads The HPC Landscape At SuperComputing ’24

by Karl Freund | Nov 18, 2024 | In the News

Nvidia has gone from a niche provider of HPC technology to becoming a dominant force in the industry. This year’s SC event reinforces that leadership. The annual SuperComputing event in North America is taking place this week in Atlanta, Georgia, and as usual the show...

Nvidia Sweeps Benchmarks. AMD Is MIA, Again

by Karl Freund | Nov 14, 2024 | In the News

It should not surprise anyone: Nvidia is still the fastest AI and HPC accelerator across all MLPerf benchmarks. And while Google submitted results, AMD was a no-show. This blog has been corrected on 11/14 with a fresh TPU Trillium vs. Blackwell comparison. Say what...

Who Has The Fastest AI Inference, And Why Does It Matter?

by Karl Freund | Nov 1, 2024 | In the News

A food fight erupted at the AI HW Summit earlier this year, where three companies all claimed to offer the fastest AI processing. All were faster than GPUs. Now Cerebras has claimed insanely fast AI performance with their latest software running on the company’s...

Qualcomm Doubles Down On Automotive With New Snapdragon Platforms

by Karl Freund | Oct 22, 2024 | In the News

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...

IBM Launches Granite 3.0 AI Models; Smaller, Faster, And 97% Cheaper

by Karl Freund | Oct 21, 2024 | In the News

The newly optimized LLMs underpin AI transformation client engagements with IBM Consulting Advantage and Watsonx. The industry has been abuzz about the affordability of LLM-based generative AI. If we don’t improve the efficiency, users will struggle to achieve an...

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NIST Ratifies Quantum Safe Algorithms Co-Developed By IBM Research

by Karl Freund | August 21, 2024 | In the News | 0 Comments

The National Institute of Standards and Technology (NIST) has confirmed three algorithms co-developed by IBM Research, which are used to protect sensitive infrastructure and data from attacks by bad actors using Quantum Computers to break the existing encryption. As...

Has Google Turned A Corner In Quantum And AI Computing?

by Karl Freund | December 12, 2024 | In the News | 0 Comments

Google recently announced three new hardware platforms, including quantum, AI and Arm. And these chips are indeed impressive. OK, I'll admit it. I underestimated Google's ability to drive meaningful innovations in the computing realm. Yes, the company showed great...

Blaize AI Emerges From Stealth

by Karl Freund | December 2, 2019 | AI and Machine Learning, In the News | 0 Comments

Throughout 2020, a wave of AI hardware startups will launch their companies and products. Cerebras started this wave with its wafer-scale engine last September. This week, Intel announced its AI chips from Nervana, Groq (founded by the inventors of Google TPU)...

An Update On Intel And Habana Labs

by Karl Freund | February 21, 2020 | AI and Machine Learning, In the News | 0 Comments

Last week, I reported that Intel plans to switch its AI acceleration from Nervana technology to Habana Labs, which it acquired in December. Since Intel had planned to bring out both the inference and the training versions of Nervana’s second generation, this came as...

NVIDIA Omniverse: The Useful Metaverse

by Karl Freund | October 18, 2022 | In the News | 0 Comments

Omniverse is not a toy; it enables digital twins of the real world as it exists, or as it will become. A few weeks ago I read an article on another media platform that asserted the need for the metaverse to embrace users beyond the creative teams of game developers...

Nvidia Sweeps AI Benchmarks While AMD Misses The Boat. Again.

by Karl Freund | March 27, 2024 | In the News | 0 Comments

Nvidia did not submit results for Blackwell either, as it wasn’t ready when results had to be submitted, but still won the race with the Hopper GPU by up to 4X. Too bad for AMD, as they probably have the most to gain by publishing results for the MI300, even if Hopper...

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...

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...

The Sounds Of The AI Benchmark War: Crickets

by Karl Freund | April 12, 2022 | In the News | 0 Comments

NVIDIA once again dominated a near-empty field of AI competitors in MLPerf Inference V2.0. Let’s explore why other chip companies don’t want to play. Industry standard benchmarks have been an important feature of the IT landscape for decades, with SPEC, TPC, and other...

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...