#gpu-optimization

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#pagedattention

How vLLM Implements Decoding Algorithms | HackerNoon

vLLM optimizes large language model serving through innovative memory management and GPU techniques.

Our Method for Developing PagedAttention | HackerNoon

PagedAttention optimizes memory usage in LLM serving by managing key-value pairs in a non-contiguous manner.

How vLLM Implements Decoding Algorithms | HackerNoon

vLLM optimizes large language model serving through innovative memory management and GPU techniques.

Our Method for Developing PagedAttention | HackerNoon

PagedAttention optimizes memory usage in LLM serving by managing key-value pairs in a non-contiguous manner.
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Fujitsu gets into the GPU optimization market

Fujitsu launched middleware that optimizes GPU usage, ensuring efficient resource allocation for programs requiring high computational power.

Runware uses custom hardware and advanced orchestration for fast AI inference | TechCrunch

Runware offers rapid image generation through optimized servers, seeking to disrupt traditional GPU rental models with an API-based pricing structure.

The Creators of the Atom Code Editor Open-Sourced Zed, Their New Rust-Based High-Performance Editor

Zed is an open-source code editor focusing on performance, AI capabilities, and collaboration.
Zed leverages Rust code base, multicore and GPU optimization, CRDTs, GitHub Copilot, GPT-4, and a Mac-only platform.
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