noonghunna writes a single-card RTX 3090 (24 GB) guide for local LLM inference, mapping which models and context lengths fit on one card, what can't be done, and the pitfalls that cause mid-session OOM crashes.
- A hardware cliff ("Cliff 2b") at ~21–26K accumulated tokens makes all single-card vLLM configs unsafe for agent-style workloads that retain context across turns.
- Qwen3.8-27B has an incubating single-card llama.cpp path at 262K context with vision (q4_0 KV + F16 mmproj), but it sits below the project's serving-grade KV floor.
- The 2026-08-12 retirement of all llama.cpp single-card slugs removed 200K context and ~60 TPS support for Qwen3.6-27B, leaving only a 32K, no-vision vLLM path at ~32 TPS.
- A hardware cliff ("Cliff 2b") at ~21–26K accumulated tokens makes all single-card vLLM configs unsafe for agent-style workloads that retain context across turns.
- Qwen3.8-27B has an incubating single-card llama.cpp path at 262K context with vision (q4_0 KV + F16 mmproj), but it sits below the project's serving-grade KV floor.
- The 2026-08-12 retirement of all llama.cpp single-card slugs removed 200K context and ~60 TPS support for Qwen3.6-27B, leaving only a 32K, no-vision vLLM path at ~32 TPS.
