Nvidia's RTX 5000 Pro (48GB) delivers 4400 tokens/s for local LLMs
A Reddit user hits 80 tok/s generation with a single $4300 GPU.
A Reddit user who initially considered a Mac Studio took a gamble on the Nvidia RTX 5000 Pro (48GB) and reports exceptional performance for local LLM workloads. The total build cost $5,600 including 64GB of system RAM, with the GPU alone at $4,300. Despite having zero PC building experience, the user assembled the system with guidance from Claude Code and community posts, using vLLM to run Qwen3.6-27B-FP8 at full precision.
The results speak for themselves: text generation speeds of up to 80 tokens per second (50-60 for large prompts) and prompt processing at a blistering 4,400 tokens per second. The full-precision KV cache supports 200k tokens of context, which the user finds sufficient. Compared to an RTX 5090, this single card costs about $1,000 more but draws half the power and runs quieter. The user argues that while two 5090s would outperform it, the cost, noise, and electricity savings make the 5000 Pro a compelling choice for solo LLM enthusiasts.
- Single RTX 5000 Pro (48GB) achieves 80 tokens/s generation and 4400 tokens/s prompt processing with Qwen3.6-27B-FP8
- Total system cost $5,600 ($4,300 GPU) vs $2,000+ for an RTX 5090, but uses half the power and less noise
- Supports 200k context tokens at full precision KV cache, using vLLM and guidance from Claude Code
Why It Matters
High-end local LLM inference on a single GPU is now more affordable and practical without sacrificing performance.