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Junaid
Junaid @M_Junaid_Asghar ·
Replying to @M_Junaid_Asghar
Post 7/8 #TurboQuant beats older methods (like KIVI) with: • Higher vector search recall • Lower distortion • Zero fine-tuning needed • Near theoretical limits Boosts LLMs + large-scale vector databases & semantic search. Google is cooking! 🔥 #GoogleAI #KVCache #VectorSearch
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Junaid
Junaid @M_Junaid_Asghar ·
Replying to @M_Junaid_Asghar
Post 2/8 What is #TurboQuant? During LLM inference, the key-value #KVCache stores attention keys/values for long contexts. It grows huge. TurboQuant uses clever PolarQuant + QJL (random rotations + polar coords + 1-bit error correction) to compress it aggressively. No #retraining
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Intel Capital
Intel Capital @intelcapital ·
In a collaboration with @ScaleFlux and #FarmGPU, @LightbitsLabs announced the debut of a collaborative architecture designed to optimize the #KVCache and reduce latency using Lightbits’ #LightInferra model. Read more below.
Lightbits Labs Lightbits Labs @LightbitsLabs ·
#ScaleFlux, #FarmGPU, and Lightbits debut a collaborative architecture at #NVIDIAGTC to optimize storage for #KVCache. Reduce GPU stalls and improve inference throughput. Visit booth 7006 to view live demonstrations. 👉 lightbitslabs.com/press-releases… #AIInference #LongContextAI
Solving Long-Context AI: Storage for KV Cache and Inference Efficiency

ScaleFlux, FarmGPU, and Lightbits Labs debut a collaborative architecture at NVIDIA GTC to optimize storage for KV cache. Reduce GPU stalls and improve inference throughput by persisting and stream...

From lightbitslabs.com
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Lightbits Labs
Lightbits Labs @LightbitsLabs ·
“We’re transforming inference memory from a reactive cache into an intelligent, streamed data layer.” Blocks and Files: 100x to 280x speed up of KV cache workloads using LightInferra blocksandfiles.com/ai-ml/2026/03/… #KVCache #CacheOptimization #InferenceMemory
Lightbits and ScaleFlux demo 100x to 280x KV Cache acceleration

Lightbits Labs and ScaleFlux have produced a 100x to 280x speed up of KV cache workloads using Light ...

From blocksandfiles.com
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Lightbits Labs
Lightbits Labs @LightbitsLabs ·
Discover how the LightInferra platform revolutionizes long-context inference by eliminating KV cache bottlenecks. Benchmark results show up to 280x faster TTFT at 1M tokens. 👇 lightbitslabs.com/blog/introduci… #AIInference #KVCache
Long-Context Inference: Achieving 280x Efficiency with LightInferra

Discover how the LightInferra platform revolutionizes long-context inference by eliminating KV cache bottlenecks. See benchmark results demonstrating up to 280x faster TTFT at 1 million tokens,...

From lightbitslabs.com
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Aryan Agrahari
Aryan Agrahari @aryan9018 ·
linkedin.com/posts/aryan-ag… #VRAM #GPU #KVCACHE #flashattention
Understanding GPUS - Part 2: KV Caching and Memory Optimization | Aryan Agrahari posted on the...

𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐆𝐏𝐔𝐬 – 𝐏𝐚𝐫𝐭 2 𝐖𝐡𝐲 𝐢𝐬 𝐕𝐑𝐀𝐌 𝐟𝐮𝐥𝐥𝐲 𝐮𝐭𝐢𝐥𝐢𝐳𝐞𝐝 𝐞𝐯𝐞𝐧 𝐰𝐢𝐭𝐡 𝐬𝐦𝐚𝐥𝐥 𝐦𝐨𝐝𝐞𝐥𝐬? Most of the memory is consumed by KV cache during infere...

From linkedin.com
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François Cattelain
François Cattelain @CattelainFrano1 ·
Replying to @CattelainFrano1
@GaryMarcus @ylecun 25/ it's mathematically NOT an exponential. Second, those familiar with the intricacies of #Nvidia latest and greatest will know all about the growing strategic importance of #kvcache and will add this: this isn't only about compute power anymore, but also about memory capacity
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Black Vector
Black Vector @0xBlackVector ·
Mind-blowing shift in AI: KV cache now powers agent 'working memory'! Latest breakthroughs like DeepSeek DualPath & NVIDIA SideQuest deliver 2x throughput, 65% KV reduction – unlocking true autonomous agents! #LLMInference #AIAgents #KVCache
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