Large language models (LLMs) like GPT and PaLM are transforming how we work and interact, powering everything from programming assistants to universal chatbots. But here’s the catch: running these ...
A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Rearranging the computations and hardware used to serve large language ...
Together, Pliops and the vLLM Production Stack are delivering unparalleled performance and efficiency for LLM inference. Pliops contributes its expertise in shared storage and efficient vLLM cache ...
SNU researchers develop AI technology that compresses LLM chatbot ‘conversation memory’ by 3–4 times
In long conversations, chatbots generate large “conversation memories” (KV). KVzip selectively retains only the information useful for any future question, autonomously verifying and compressing its ...
SAN MATEO, Calif., March 19, 2025 (GLOBE NEWSWIRE) -- Alluxio, the developer of the leading data platform for AI and analytics, today announced a strategic collaboration with the vLLM Production Stack ...
As LLMs continue to grow in size and sophistication, their demands for computational power and energy also increase significantly. This growth introduces challenges, such as longer processing times, ...
- Enhanced performance, multi-tenancy, and security to meet cloud-grade expectations, initially showing a 20% improvement in GPU utilization. - Integration with NVIDIA Dynamo and KV Cache Manager to ...
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