gpu_count was passed to RunPod's gpuCount and then ignored: the price
ceiling checked one card, min_vram_gb one card's memory, and the engine
loaded on GPU 0 while the rest sat idle. Now the pod is ranked as a whole
(price x N, VRAM x N, '2x A100'), vLLM gets --tensor-parallel-size N and
llama.cpp --split-mode layer. Exposed on the model page, clamped 1-8.

Requests forwarded to a pod or host never appeared on the Tasks page, so
a running remote job was invisible from the admin. _forward now registers
a 'remote' task whose message names the pod it landed on.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0182DhR1eFNPQyGmDrpHbedY