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RTX Pro 4500 vs. A100 GPUs for LLM Server Build

A user is seeking advice on building a server for local large language model (LLM) inference, specifically debating between purchasing four RTX Pro 4500 GPUs or four used 40GB A100 GPUs. The RTX Pro 4500 option would require a PCIe switch, adding complexity, while the A100s would necessitate NVLink bridge adapters and carry the risk of purchasing faulty hardware from eBay. The user is in a hurry to make a decision due to a return deadline for previously purchased Intel B60 cards, which proved unsuitable for scaling. AI

IMPACT Users building local LLM inference servers face complex hardware choices between consumer and datacenter-grade GPUs.

RANK_REASON User seeking advice on hardware purchase for LLM inference.

Read on r/LocalLLaMA →

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

RTX Pro 4500 vs. A100 GPUs for LLM Server Build

COVERAGE [1]

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

    RTX Pro 4500 vs. A100 (x4) - purchase being made today

    <!-- SC_OFF --><div class="md"><p>Need some help from the community on this server build: RTX Pro 4500 x4 ($3,299) or used 40GB A100 x4 off eBay (around $4,000/ea).</p> <p>The RTX Pro 4500 means I have to go the route of getting a PCIe switch, inviting a fair amount of complexity…