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About TurboQuant-MoE:8.5x KV-Cache Compression on Product Hunt
“8.5x KV-cache compression for LLM inference ”
TurboQuant-MoE:8.5x KV-Cache Compression was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #384 on the daily leaderboard. Production KV-cache compression for Mixture-of-Experts language models. LLM inference costs explode because: • KV-cache grows with sequence length (16k tokens = 256MB per token) • MoE models waste GPU storing inactive experts • Memory becomes the bottleneck, not compute 📊 REAL BENCHMARKS (Mixtral 8x7B) • KV Memory: 256MB → 30MB (8.53x smaller) • Quality: 100% preserved (zero degradation) • Speed: 8.48x faster in production • Expert Cache Hit: 96.75% • GPU Memory Saved: 6.42 GB per layer
Who hunted TurboQuant-MoE:8.5x KV-Cache Compression?
TurboQuant-MoE:8.5x KV-Cache Compression was hunted by Denis. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Denis