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AMD's new 256 core EPYC has 16-channel DDR5-12800, 91% memory bandwidth of an RTX 5090

Reddit r/LocalLLaMA ↗ · 2026-09-29 Cached

AMD releases full pricing and specifications for its EPYC 9006 (Venice) series server CPUs, featuring up to 256 Zen 6 cores, 16-channel DDR5-12800 memory, and pricing from $700 to $14,904.

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#epyc

2×RTX 3090 + EPYC box running qwen3.8-flash-next at ~38 tok/s

Reddit r/LocalLLaMA ↗ · 2026-09-12

The user describes a hardware configuration with dual RTX 3090 GPUs and an AMD EPYC CPU for running the Qwen3-Flash-Next model using llama.cpp, achieving 38 tokens per second in single-stream inference, and seeks advice on whether to add a third GPU or upgrade the CPU to improve performance, especially for running multiple parallel agents.

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#epyc

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

Reddit r/LocalLLaMA ↗ · 2026-08-08

A user seeks advice on building a budget home AI server with 32-48GB VRAM, debating between AMD RX 9060 XT and Nvidia RTX 5060 Ti GPUs, and whether to use AM5 or used EPYC platforms for local LLM inference and large MoE model offloading.

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#epyc

CPU-only GLM 5.2: Epyc and 512GB RAM

Reddit r/LocalLLaMA ↗ · 2026-06-29

GLM 5.2 is optimized for CPU-only inference on AMD Epyc processors with 512GB RAM.

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