Unverified50% confidenceFactExact time
The NVIDIA version of DeepEP uses NCCL, with NVLink within a node, RDMA across nodes, and kernels written in CUDA.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/3/2026
First Seen
Valid until: 1/1/2027
Sources
Related Entities
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VerifiedNVIDIA A100 拥有 6912 个 CUDA 核心73% similarUnverifiedThe decode output of NVDEC is typically NV12 (YUV 4:2:0 semi-planar format), which subsequently requires conversion to RGB or normalized floating-point format via a CUDA kernel on the GPU before being fed into a neural network.71% similarUnverifiedDeep learning toolchains that depend on CUDA are highly tied to NVIDIA GPUs, while Windows ARM devices typically come equipped with Qualcomm Adreno GPUs or integrated NPUs.69% similarVerifiedNVLink-C2C technology enables high-speed interconnection between CPU and GPU.69% similarUnverifiedNVIDIA's software stack from the bottom layer to the application layer includes CUDA, cuDNN, cuBLAS, TensorRT, TensorRT-LLM, Triton Inference Server, and NIM.69% similar
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