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vLLM added bidirectional and push-based KV cache transfer for disaggregated prefill/decode inference to reduce time-to-first-token Feature update
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19 October 2026
Amazon’s biggest push against Nvidia this year landed today in the form of TorchNeuron, an AWS development tool designed to let PyTorch-based AI apps run on its Trainium chips with a one-line configuration change instead of a code rewrite. AWS says roughly 85% of AI apps use PyTorch, and that number matters because it turns the usual “porting tax” into a packaging decision: keep writing in PyTorch, switch the backend, move on. The company also plans upstream PyTorch changes to make the framework more hardware-agnostic, aiming to loosen the gravity that keeps developers clustered around specific accelerator ecosystems—an underappreciated lever in enterprise spending, where platform lock-in often lasts longer than model lifecycles.
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