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...
by Karl Freund | Dec 2, 2021 | Video
Cambrian-AI Research Founder Karl Freund discussed the state of Large Models at the AI HW Executive Summit this week. More Cambrian-AI Visions Video Interviews Free-lance writer and AI engineer Alberto Romero discusses the large model phenomona GPT-3 has launched...
by Karl Freund | Dec 1, 2021 | In the News
Intel Habana Labs and Graphcore add scale and software optimizations, while Google skips this round, choosing to put a stake in the ground for half-trillion parameter models. Every six months, the AI hardware community gathers virtually to strut their hardware stuff...
by Karl Freund | Nov 9, 2021 | In the News
NVIDIA extends its lead in accelerated computing, announcing platforms for the metaverse, healthcare, enterprise AI, autonomous vehicles, and data center security at the GTC Conference. NVIDIA, probably on its way to becoming a trillion dollar company, has been...
by Karl Freund | Nov 8, 2021 | In the News
The Instinct MI200 is nearly five times faster than the NVIDIA A100 for HPC, but is theoretically only 20% faster for AI. One year ago I complained that the newly announced AMD MI100 GPU was great for HPC, but inadequate for most AI workloads. Now AMD has announced...
