Generative AI Chips
summary
AWS-built chips target inference and training with measured claims: Inf1 delivers ~40% then up to ~70% lower cost versus past EC2 options; Trainium offers 3x raw compute over Inferentia plus much higher memory and interconnect bandwidth and runs 16 chips per server and multi‑server clusters of >30,000 chips. Inf2 servers pack 12 Inferentia2 cards, provide 10 TB/s memory bandwidth and can host a 175B model at 3x lower cost versus training rigs. Software stack uses Neuron SDK monthly updates with PyTorch/TensorFlow and JAX support incoming.
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chapters (9)
- 0:00Introduction to AWS ML chips
- 1:08History of custom hardware
- 3:08The need for inference chips
- 5:38Inferentia1 performance
- 7:26Scaling with Trainium
- 10:07Trainium architecture
- 12:49Building supercomputers
- 16:42Inferentia2 for GenAI
- 20:06Neuron SDK and future roadmap
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