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CPU Upgrade
Running
on
CPU Upgrade
File size: 4,658 Bytes
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import React, { useState, useEffect, useRef, useMemo } from 'react';
import { GPUApiResponse } from '@/types';
import Loading from '@/components/Loading';
import GPUWidget from '@/components/GPUWidget';
import { apiClient } from '@/utils/api';
import { usingBrowserDb } from '@/utils/env';
const GpuMonitor: React.FC = () => {
const [gpuData, setGpuData] = useState<GPUApiResponse | null>(null);
const [loading, setLoading] = useState<boolean>(true);
const [error, setError] = useState<string | null>(null);
const [lastUpdated, setLastUpdated] = useState<Date | null>(null);
const isFetchingGpuRef = useRef(false);
useEffect(() => {
if (usingBrowserDb) {
setLoading(false);
setGpuData(null);
setError(null);
setLastUpdated(null);
return;
}
const fetchGpuInfo = async () => {
if (isFetchingGpuRef.current) {
return;
}
setLoading(true);
isFetchingGpuRef.current = true;
apiClient
.get('/api/gpu')
.then(res => res.data)
.then(data => {
setGpuData(data);
setLastUpdated(new Date());
setError(null);
})
.catch(err => {
setError(`Failed to fetch GPU data: ${err instanceof Error ? err.message : String(err)}`);
})
.finally(() => {
isFetchingGpuRef.current = false;
setLoading(false);
});
};
fetchGpuInfo();
const intervalId = setInterval(fetchGpuInfo, 1000);
return () => clearInterval(intervalId);
}, []);
const getGridClasses = (gpuCount: number): string => {
switch (gpuCount) {
case 1:
return 'grid-cols-1';
case 2:
return 'grid-cols-2';
case 3:
return 'grid-cols-3';
case 4:
return 'grid-cols-4';
case 5:
case 6:
return 'grid-cols-3';
case 7:
case 8:
return 'grid-cols-4';
case 9:
case 10:
return 'grid-cols-5';
default:
return 'grid-cols-3';
}
};
const content = useMemo(() => {
if (usingBrowserDb) {
return (
<div className="bg-blue-900 border border-blue-700 text-blue-200 px-4 py-3 rounded">
<strong className="font-semibold block">Cloud Mode</strong>
<span className="block text-sm">
This AI Toolkit instance runs training through Hugging Face Jobs. GPU telemetry is unavailable in this mode.
</span>
</div>
);
}
if (loading && !gpuData) {
return <Loading />;
}
if (error) {
return (
<div className="bg-red-900 border border-red-600 text-red-200 px-4 py-3 rounded relative" role="alert">
<strong className="font-bold">Error!</strong>
<span className="block sm:inline"> {error}</span>
</div>
);
}
if (!gpuData) {
return (
<div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
<span className="block sm:inline">No GPU data available.</span>
</div>
);
}
if (!gpuData.hasNvidiaSmi) {
return (
<div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
<strong className="font-bold">No NVIDIA GPUs detected!</strong>
<span className="block sm:inline"> nvidia-smi is not available on this system.</span>
{gpuData.error && <p className="mt-2 text-sm">{gpuData.error}</p>}
</div>
);
}
if (gpuData.gpus.length === 0) {
return (
<div className="bg-yellow-900 border border-yellow-700 text-yellow-300 px-4 py-3 rounded relative" role="alert">
<span className="block sm:inline">No GPUs found, but nvidia-smi is available.</span>
</div>
);
}
const gridClass = getGridClasses(gpuData?.gpus?.length || 1);
return (
<div className={`grid ${gridClass} gap-3`}>
{gpuData.gpus.map((gpu, idx) => (
<GPUWidget key={idx} gpu={gpu} />
))}
</div>
);
}, [loading, gpuData, error, usingBrowserDb]);
return (
<div className="w-full">
<div className="flex justify-between items-center mb-2">
<h1 className="text-md">GPU Monitor</h1>
{usingBrowserDb ? (
<div className="text-xs text-blue-400">Hugging Face Jobs (cloud mode)</div>
) : (
<div className="text-xs text-gray-500">
Last updated: {lastUpdated ? lastUpdated.toLocaleTimeString() : '—'}
</div>
)}
</div>
{content}
</div>
);
};
export default GpuMonitor;
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