PulseAugur
EN
LIVE 04:26:32

User seeks performance boost for dual A100 GPUs in local LLM deployment

A user on the r/LocalLLaMA subreddit is seeking advice on optimizing performance for a dual Nvidia A100 80GB GPU setup. They are experiencing a significant drop in generation speed when running multiple users or sessions, falling from 50-70 tokens/s to 10-15 tokens/s. The user is currently using llama.cpp with specific model configurations and parameters for agentic coding tasks and is considering switching to vLLM or running separate instances of Qwen3.6-35B-A3B on each GPU to improve throughput. AI

IMPACT Optimizing local LLM inference performance is key for efficient agentic applications and broader adoption.

RANK_REASON User seeking advice on hardware/software optimization for AI workloads.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User seeks performance boost for dual A100 GPUs in local LLM deployment

How we ranked this

Signal score
3 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User seeking advice on hardware/software optimization for AI workloads.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/vitamins1000 ·

    How to get more performance from dual A100 80GB?

    <!-- SC_OFF --><div class="md"><p>Dual A100X PCIe (link at Gen4 x8, weird DPU cards) in a 2U EPYC 7402P box, 256GB DDR4.</p> <p>Proxmox with the GPU's passed through to debian 13, 610.43.02 drivers.</p> <p>llama.cpp, qwen3.8 flash next UD-Q4_K_XL, Q8_0 MTP head, draft max 2, mmpr…