Tooling
Why GEMM Isn't the Real Bottleneck in Real-Time AI Inference
A CUDA-first runtime for robotics and real-time ML reveals the hidden costs of kernel fragmentation, layout transitions, and runtime overhead—not matrix multiplication.
1 min read
We've been wrong about where inference latency actually lives. The conventional wisdom says optimize your matrix multiplications. But someone building a CUDA-first inference runtime for robo...
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Method & sources
- Source type
- Community signal (Reddit) — our summary + analysis
- Source link
- Reddit · reddit-machinelearning
- Published
- UTC
- Byline
- By the gotcontext.ai team (editorial standards)
- Correction?
- corrections@gotcontext.ai