A V100 gets a ComfyUI it can run, and an open driver is read by its version

PyTorch's CUDA 12.8 and 12.9 builds start at Turing since torch 2.8, as
CUDA 13 does, so on a V100 both ComfyUI builds were installed, 10 GB each,
and failed on the card with "no kernel image". The cu129 build now needs
7.5, and a third, on PyTorch's CUDA 12.6 torch, carries Volta and Pascal.

The open kernel module, NVIDIA's default since 560, writes "Open Kernel
Module for x86_64  580.82.07" in /proc/driver/nvidia/version, and the word
after "Module" was taken as the driver: "for". With the driver unknown,
every build was tried whatever driver it needs.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

internal/web/admin_nodeengine.go

@@ -50,7 +50,7 @@ func buildNotice(l *Lang, node, engine, build string) string {
 	case "none":
 		return l.T("nodeengine.notice.none", node, engine)
 	}
-	name := map[string]string{"cu13": "CUDA 13", "cu129": "CUDA 12.9", "cu12": "CUDA 12"}[build]
+	name := map[string]string{"cu13": "CUDA 13", "cu129": "CUDA 12.9", "cu126": "CUDA 12.6", "cu12": "CUDA 12"}[build]
 	if name == "" {
 		name = build
 	}