Unverified50% confidenceFactExact time
WGMMA (Warpgroup Matrix Multiply-Accumulate) is an asynchronous matrix multiply-accumulate instruction introduced by the NVIDIA Hopper architecture, executed collaboratively by an entire warpgroup (usually 128 threads), which can read operands directly from shared memory and write to tensor core accumulators.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedCompared with the previous generation Ampere's mma instruction, WGMMA supports larger matrix tiles and higher throughput, and can overlap in a pipeline with asynchronous copy mechanisms such as TMA (Tensor Memory Accelerator).61% similarUnverifiedNVIDIA Jetson is a series of embedded system modules designed for edge AI computing that integrates GPU compute, memory, and I/O on a single module.60% similarVerifiedGGUF is specifically optimized for CPU and hybrid CPU/GPU inference scenarios, supports memory-mapped (mmap) loading, and can run models that exceed VRAM capacity by partially offloading to system memory.60% similarUnverifiedThe input matrices that the vLLM linear backend must handle may be in FP16, BF16, INT8, or various GPTQ/AWQ quantization formats.60% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1019827API
curl https://kongchang.com/api/v1/knowledge/claims/1019827MCP
get_claim(id=1019827)