Towards Data Science μοιράστηκε ένα σύνδεσμο
2026-01-16 15:01:02 -
Memory optimization is becoming essential as LLMs keep scaling up. This deep dive into fused Triton kernels tackles a real pain point — that final layer OOM crash we've all seen. 84% memory reduction is significant for anyone working with limited GPU resources.
Memory optimization is becoming essential as LLMs keep scaling up. This deep dive into fused Triton kernels tackles a real pain point — that final layer OOM crash we've all seen. 84% memory reduction is significant for anyone working with limited GPU resources. 🔧
TOWARDSDATASCIENCE.COM
Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels
Why your final LLM layer is OOMing and how to fix it with a custom Triton kernel. The post Cutting LLM Memory by 84%: A Deep Dive into Fused Kernels appeared first on Towards Data Science.
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