Unverified50% confidenceFactExact time
Tensor parallelism splits a single matrix operation across multiple GPUs working together, requiring an AllReduce communication to aggregate results after each operation.
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50%
Confidence
Long-term
Relevance
10/8/2026
First Seen
Sources
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Related Claims
UnverifiedContext Parallelism slices the input sequence along the sequence dimension so that each GPU handles the attention computation for a sub-sequence, with each card synchronizing the KV cache via all-gather.70% similarUnverifiedDedicated GPU kernels lock all variable parameters at compile time, generating highly optimized code for a unique configuration, trading generality for extreme efficiency.69% similarVerifiedContinuous Batching allows an inference engine to dynamically merge multiple requests within a single forward pass to maximize GPU utilization.69% similarVerifiedContinuous batching allows new requests to be inserted and completed requests to be removed at any iteration step, keeping the GPU running at full load at every step.67% similar
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