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NVIDIA Keeps The Performance Crown For AI Inference For The 6th Time In A Row

by Karl Freund | Sep 29, 2022 | In the News

In The Data Center And On The Edge, the bottom line is that the H100 (Hopper-based) GPU is up to four times faster than the NVIDIA A100 on the newly released ​MLPerf V2.1 benchmark suite. The A100 retains leadership in many benchmarks versus other available products...
IBM’s Ray Harishankar and John Buselli on Quantum Safe Security

IBM’s Ray Harishankar and John Buselli on Quantum Safe Security

by Karl Freund | Sep 29, 2022 | Video

Quantum Safe computing will require revamping most, if not all, digital security apparatus around the world. IBM Research’s algorithms have been named by the US NIST as three of the four candidates for Quantum Safe security. We had a conversation with Ray Harishankar...

SiMa.ai Hopes To Ignite The Edge ML Market With New Software-Driven “MLSoC”

by Karl Freund | Sep 7, 2022 | In the News

Alberto Romero, Cambrian-AI Analyst, contributed to this article SiMa.ai is a machine learning startup founded November 2018 with the mission to transform and ignite the embedded Machine Learning (ML) edge market by overcoming the deficiencies of current solutions....
Recent MLPerf submission 2.1 with Rahul Patel, SVP & GM, Connectivity & Networking for Qualcomm Technologies, Inc.

Recent MLPerf submission 2.1 with Rahul Patel, SVP & GM, Connectivity & Networking for Qualcomm Technologies, Inc.

by Karl Freund | Sep 7, 2022 | Video

​Qualcomm Cloud AI 100 continues to lead the industry in power efficient AI acceleration. We discuss the recent MLPerf submission 2.1 with Rahul Patel, SVP & GM, Connectivity & Networking for Qualcomm Technologies, Inc. More Cambrian-AI Visions Video...

IBM Research Innovates “Serverless” Approach To Quantum

by Karl Freund | Sep 7, 2022 | In the News

Quantum computing promises near-miraculous performance, but it comes with a lot of caveats. Most importantly, the problem being solved must be amenable to expression into the quantum “circuits” that can run on todays hardware. But what if only parts of the problem fit...
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