Testing & QA — Tech News

Механизмы внимания в современных LLM

Почему современные LLM больше не используют один «обычный» Attention? Разбираем эволюцию механизмов внимания: MHA, GQA, MLA, local и sparse att…

Сайзинг RAM и vCPU для локальной языковой модели начинается с конкретных весов и профиля запросов. Исходные требования self-hosted LLM включают длин…

On sm_120 and sm_121, a model that will not serve often fails in one cell: one runtime version, one MoE or GEMM backend, one quantization, one topol…

nvidia gpu llm inference

I saw "MTP round-trip" on a checklist for a Megatron conversion pipeline and had no idea what it meant. Two acronyms, one hyphen, apparently importa…

ai technical inference mtp

Diffusion text models — which draft an entire block of text at once and then iteratively refine it, rather than generating one token at a time left…

diffusion openweight google inference

Every LLM inference engineer hits this wall eventually. You deployed a model, it works in testing, then production traffic arrives. Suddenly your 80…

llm inference engineering ai

One of the hottest topics in LLM inference acceleration right now is Speculative Decoding . DSpark claims 60%–85% single-user speedup at the same th…

ai llm inference engineering

We’ve treated local AI deployments as experimental toys for too long. The moment a homelab becomes a dependency for work, the security posture must…

homelab llmsecurity inference supplychain