Qwen3.5-27B hit by DGX Spark compatibility deadlock

This bottleneck highlights the friction in the cutting-edge AI stack where hardware-specific optimizations lag behind rapid model architecture releases. The Blackwell GB10 architecture requires specific NVIDIA-patched PyTorch versions not yet bundled with vLLM 0.17+, and upgrading vLLM within existing NGC containers typically breaks the delicate CUDA runtime environment. Current workarounds include using Ollama at lower performance or sticking to NVIDIA-optimized NIMs for older model versions.