Model Releases
7900 XTX + 32/64GB RAM for Qwen 3.8 Flash Next?
Planning to build a PC mainly for local LLMs/coding agents. I keep seeing 3090 + Qwen 3.8 Flash Next benchmarks, but could not find enough info for the 7900 XTX 24GB. 3090s are hard to find where I li
Planning to build a PC mainly for local LLMs/coding agents. I keep seeing 3090 + Qwen 3.8 Flash Next benchmarks, but could not find enough info for the 7900 XTX 24GB. 3090s are hard to find where I live, while newer Nvidia GPUs are too expensive, so I am considering a 7900 XTX as the GPU choice. Anyone running Qwen 3.8 Flash Next on a 7900 XTX? What tok/s are you getting in decode and prefill, and how is AMD/ROCm support? Also, if SSD streaming/offloading is needed anyway to run Q4, is 32GB system RAM enough, or is 64GB worth it? submitted by /u/thenomadexplorerlife [link] [comments]
Related
- How many agents can 2×4090 actually run at once? Three weeks of llama.cpp concurrency data — soft cap 5 @ 64k, hard cap 9, and why.
- Are models with N-Gram tables going to completely change the AI race?
- I made a custom llama.cpp build optimized for 7900xtx (one or two). for qwen 3.8 next and 27B. includes optimizations for PciE x4 and tensor parallel. read inside! (no AI slop)
Source: r/LocalLLaMA | 2026-09-11