Capability
Tensor Parallelism With Multi Gpu Synchronization
17 artifacts provide this capability.
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via “tensor parallelism and distributed model execution”
High-throughput LLM serving engine — PagedAttention, continuous batching, OpenAI-compatible API.
Unique: Implements automatic tensor sharding with communication-computation overlap via NCCL AllReduce/AllGather, using topology-aware scheduling to minimize cross-node communication for multi-node clusters
vs others: Achieves 85-95% scaling efficiency on 8-GPU clusters vs 60-70% for naive data parallelism, by keeping all GPUs compute-bound through overlapped communication