🔖 How to Reduce the Cost of LLM Inference by up to 90%
If your AI agents are constantly sending the same context, consider using LMCache. 🚀
This open-source system manages a KV cache, allowing you to reuse already computed representations instead of recalculating them for each request. 🧠
As a result:
⚡️ Up to 14x faster Time To First Token;
⚡️ Up to 4x faster decoding;
⚡️ Significant savings in GPU resources and inference costs. 💰
⛓️ Link to GitHub
https://github.com/LMCache/LMCache
#LLM #AIOptimization #LMCache #GPU #CostReduction #AIEngineering
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If your AI agents are constantly sending the same context, consider using LMCache. 🚀
This open-source system manages a KV cache, allowing you to reuse already computed representations instead of recalculating them for each request. 🧠
As a result:
⚡️ Up to 14x faster Time To First Token;
⚡️ Up to 4x faster decoding;
⚡️ Significant savings in GPU resources and inference costs. 💰
⛓️ Link to GitHub
https://github.com/LMCache/LMCache
#LLM #AIOptimization #LMCache #GPU #CostReduction #AIEngineering
✨ Join Best TG Channels https://xn--r1a.website/addlist/0f6vfFbEMdAwODBk
⭐️ Join Our WhatsApp Channel https://whatsapp.com/channel/0029VaC7Weq29753hpcggW2A
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