LLM Inference

AI May 05, 2026

ExLlamaV3: Motor de Inferencia de LLM de Alto Rendimiento

Ejecutar modelos de lenguaje grandes en hardware de consumo requiere motores de inferencia eficientes que expriman cada gota de rendimiento de la …

AI May 05, 2026

The efficiency of LLM inference directly determines the cost, latency, and scalability of AI applications. KTransformers …

AI May 05, 2026

Serving LLMs in production is fundamentally a memory management problem. The KV cache — the set of attention key-value pairs stored during …

AI May 05, 2026

The open-source LLM ecosystem has solved many problems — model quality, fine-tuning, deployment — but one challenge persists: getting models to …

AI May 05, 2026

The promise of running LLMs locally on a MacBook has been seductive but incomplete. Ollama and llama.cpp made it possible, but performance left …

AI May 03, 2026

Implementar modelos de lenguaje grandes en produccion requiere mas que solo cargar pesos en una GPU. Para lograr rendimiento y latencia …