← GPU & Accelerator Architecture
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Trainium and Inferentia
Trainium and Inferentia run workloads through AWS’s Neuron software stack. Evaluate memory, compiler support, interconnects and the cost of adapting the model.
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GPU & Accelerator ArchitectureWould you move a cost-sensitive training and serving fleet from H100 to Trainium2? What do you gain, and what do you have to plan for?→Napkin Math, Cost & CapacityRank the H100, MI300X and Trainium2 by cost per token for decode→Hardware, Cabling & Cluster Build-OutA vendor claims their accelerator beats an H100 at half the price. How do you evaluate that?→Open-Weights Models & Serving EnginesYou must serve a frontier open-weights model on non-NVIDIA accelerators. Plan it.→GPU & Accelerator ArchitectureWalk me through the CUDA execution model: what are grids, blocks and warps, and what does the hardware actually schedule?→GPU & Accelerator ArchitectureDescribe the GPU memory hierarchy. Where can a byte live on an H100, and what does each level cost?→