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Budget AI Server Build: AMD RX 9060 XT vs NVIDIA RTX 5060 Ti for 48GB VRAM

A user is planning to build a budget home AI server for local LLM inference and is weighing the cost-effectiveness of AMD's RX 9060 XT GPUs against NVIDIA's RTX 5060 Ti. The AMD option offers significant savings, potentially saving $650 on a 48GB VRAM setup, but raises questions about software support and PCIe lane allocation for the third GPU. The user is also considering platform choices between a Socket AM5 build with a Ryzen 9 processor and a used AMD EPYC setup, evaluating factors like PCIe lanes, memory bandwidth, and overall system RAM capacity for large MoE models. AI

IMPACT Provides insights into cost-effective hardware configurations for individuals running local AI models.

RANK_REASON User is asking for advice on building a personal AI server, comparing hardware options for local LLM inference.

Read on r/LocalLLaMA →

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

Budget AI Server Build: AMD RX 9060 XT vs NVIDIA RTX 5060 Ti for 48GB VRAM

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/heitortp0 ·

    Building a budget 32GB → 48GB VRAM home AI server: 2-3x RX 9060 XT 16GB vs RTX 5060 Ti 16GB, AM5 vs used EPYC?

    <!-- SC_OFF --><div class="md"><p>I’m planning a dedicated home AI server, mainly for local LLM inference, agents/tool use, Docker services, and eventually larger MoE models with CPU offload.</p> <p>My plan is to start with <strong>2x 16GB GPUs = 32GB VRAM</strong>, but I want to…