Update ui to show DGX spark gpu usage correctly

ui/src/components/GPUWidget.tsx

@@ -61,7 +61,7 @@ export default function GPUWidget({ gpu }: GPUWidgetProps) {
             </div>
             <div className="flex items-center space-x-2 mb-1 mt-3">
               <HardDrive className="w-4 h-4 text-blue-600 dark:text-blue-400" />
-              <p className="text-xs text-gray-400">Memory</p>
+              <p className="text-xs text-gray-400">{gpu.memory.shared ? 'Shared Memory' : 'Memory'}</p>
               <span className="text-xs text-gray-300 ml-auto">
                 {((gpu.memory.used / gpu.memory.total) * 100).toFixed(1)}%
               </span>

ui/src/server/monitor.ts

@@ -35,6 +35,13 @@ const NV_BATCH_FLUSH_MS = 100;
 // Temperature refresh is decoupled from the tick (see refreshCpuTemp)
 const CPU_TEMP_REFRESH_MS = 5000;
 
+// Power limits for GPUs whose driver reports none (nvidia-smi gives [N/A]).
+// GB10 (DGX Spark) is a unified SoC with no settable GPU limit; 140 W is
+// NVIDIA's rated TDP for the GB10 superchip.
+const KNOWN_POWER_LIMITS_W: Record<string, number> = {
+  'NVIDIA GB10': 140,
+};
+
 function parseGpuLine(line: string): GpuInfo | null {
   const [
     index,
@@ -69,7 +76,7 @@ function parseGpuLine(line: string): GpuInfo | null {
     },
     power: {
       draw: parseFloat(powerDraw),
-      limit: parseFloat(powerLimit),
+      limit: isNaN(parseFloat(powerLimit)) ? (KNOWN_POWER_LIMITS_W[name] ?? NaN) : parseFloat(powerLimit),
     },
     clocks: {
       graphics: parseInt(clockGraphics),
@@ -81,6 +88,23 @@ function parseGpuLine(line: string): GpuInfo | null {
   };
 }
 
+/**
+ * Unified-memory GPUs (GB10 / DGX Spark) have no dedicated VRAM, so
+ * nvidia-smi reports memory as [N/A]. Report the system RAM pool they share
+ * instead, like the Mac path does for Apple silicon.
+ */
+function withSharedMemory(gpu: GPUApiResponse, cpu: CpuInfo | null): GPUApiResponse {
+  if (!cpu || !gpu.gpus.some(g => isNaN(g.memory.total))) return gpu;
+  const total = Math.round(cpu.totalMemory);
+  const free = Math.round(cpu.availableMemory);
+  return {
+    ...gpu,
+    gpus: gpu.gpus.map(g =>
+      isNaN(g.memory.total) ? { ...g, memory: { total, free, used: total - free, shared: true } } : g,
+    ),
+  };
+}
+
 // Serialized once per tick and shared, so N subscribers don't stringify N times
 type Subscriber = (sample: MonitorSample, serialized: string) => void;
 
@@ -138,7 +162,7 @@ class SystemMonitor {
     return {
       t: Date.now(),
       cpu: this.latestCpu,
-      gpu: this.latestGpu,
+      gpu: withSharedMemory(this.latestGpu, this.latestCpu),
       history: [...this.history],
     };
   }
@@ -175,7 +199,11 @@ class SystemMonitor {
       console.error('Monitor: GPU sample failed:', error);
     }
 
-    const sample: MonitorSample = { t, cpu: this.latestCpu, gpu: this.latestGpu };
+    const sample: MonitorSample = {
+      t,
+      cpu: this.latestCpu,
+      gpu: withSharedMemory(this.latestGpu, this.latestCpu),
+    };
     this.history.push(historyPointFromSample(sample));
     if (this.history.length > MONITOR_HISTORY_LENGTH) {
       this.history.splice(0, this.history.length - MONITOR_HISTORY_LENGTH);

ui/src/types.ts

@@ -11,6 +11,8 @@ export interface GpuMemory {
   total: number;
   free: number;
   used: number;
+  // unified memory (e.g. GB10): figures are the system RAM pool the GPU shares
+  shared?: boolean;
 }
 
 export interface GpuPower {