Videos
6 total
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Stop Shipping LLM Settings That Only Win on Paper - Rohan Pandey & Balaji Varadarajan, DigitalOcean
DigitalOcean's optimization agent improved token throughput by 17.5% for GPT-OSS and doubled it for DeepSeek R1... |
AI Engineer | summarized | 2026-11-12 00:00 |
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NVIDIA's New Local AI Engine Runs Without Python
NVIDIA's Flare inference engine separates a Python build step from a Rust runtime, targeting only SM120 GPUs (RTX 50... |
Cloud Codes | summarized | 2026-11-01 12:30 |
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One GPU. 30 People. What Runs Out First? (vLLM)
For shared GPU serving with vLLM, memory space from the KV cache — not compute — is what usually limits how many... |
Cloud Codes | summarized | 2026-09-29 12:00 |
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Large clusters for small models — Daniel Svonava, Superlinked
Small open-source models can match or beat frontier models on specific tasks at a fraction of the cost, but serving... |
AI Engineer | summarized | 2026-09-19 17:30 |
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Random Attention: They Deleted AI Memory at Random (And It Got 43% Faster)
Random Attention, a technique that randomly deletes entries from the KV cache, achieves 32-43% higher throughput... |
Cloud Codes | summarized | 2026-09-08 09:23 |
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The KV Cache Layer That Makes LLMs 10x Faster? (LMCache)
The KV cache is the dominant cost in long-context LLM serving, and the built-in prefix caching in frameworks like... |
Cloud Codes | summarized | 2026-08-27 19:30 |
Frontier News · by Hyperjump Technology