by Karl Freund | Feb 8, 2022 | In the News
There are big implications, for both companies, beyond just bragging rights. Facebook, I mean Meta, has always been one of the industry leaders when it comes to AI research and deployment. The company processes hundreds of trillions (yes, trillions with a “T”) of...
by Karl Freund | Feb 8, 2022 | In the News
The new year will see new chips, 2021 was another banner year for AI hardware platform innovations, as we predicted. Ok, not ALL of our prognostications came to pass, notably the stall (ok, death) of the NVIDIA/Arm deal. But others were pretty accurate. What does 2022...
by Karl Freund | Feb 8, 2022 | In the News
Company’s open-source software has matured significantly, and now the development community is taking over some of load. Graphcore has made significant advancements since we published the original version of our research paper on the company’s software in May 2020. We...
by Karl Freund | Jan 24, 2022 | In the News
Privately-held Bright is a favorite of HPC users, and will reinforce NVIDIA’s strategy of providing full-stack solutions for Enterprise HPC and AI. Bright Computing has been around since 2009, providing large-scale cluster management for HPC installations. The...
by Karl Freund | Jan 3, 2022 | In the News
Greater scalability and new software increases performance by 50-fold over the last twelve months. Graphcore, the UK-based AI Unicorn, submitted a raft of new benchmarks to MLCommons in December, which we covered here. Performance improved significantly with the...
by Karl Freund | Dec 3, 2021 | In the News
IBM AI acceleration technologies are becoming so good, most AI chip companies would be better off licensing core AI tech from IBM. Creating and using massive AI networks is quickly becoming unaffordable: Open.AI’s GPT-3 cost over $12M to train using thousands of GPU’s...
