Compute is the lifeblood of AI. He who controls the spice controls the universe the compute will control the production of tokens and reap the benefits of AI. Without compute you do not have a seat at the table. The United States technology community is all in on compute and AI as the next platform […]| SemiAnalysis
Frontier model training has pushed GPUs and AI systems to their absolute limits, making cost, efficiency, power, performance per TCO, and reliability central to the discussion on effective training. The Hopper vs Blackwell comparisons are not as simple as Nvidia would have you believe. In this report, we will start by present the results of […]| SemiAnalysis
The AMD Helios with the MI400 will scale to 31TB of memory and 1.4PB/s of memory bandwidth per rack. It is so big, it needs bigger racks| ServeTheHome
The new AMD Instinct MI350 series scales up to 1.4kW and 288GB of HBM3E per GPU with a focus on AI performance| ServeTheHome
AMD provided some new details around its CDNA 4 architecture, the AMD MI350 construction, and launched ROCm 7| ServeTheHome
Amid questions about the fate of clean energy initiatives, the Minneapolis-based accelerator continues on with five more participants.| Twin Cities Business
The Twins accelerator program is motivating some startups to relocate to Minnesota. Founders explain why they moved.| Twin Cities Business
We guide you through the types of investors, where to find them, and how to effectively reach out and think like them.| ASPER BROTHERS
Here I develop a theoretical model of TPUs vs GPUs for transformers as used by BERT and show that current GPUs are about 32% to 54% slower for this task.| Tim Dettmers