Skills Development CoreWeave Resource Quota Management

CoreWeave Resource Quota Management

v20260423
coreweave-rate-limits
This skill provides methods for managing GPU quota limits and rate restrictions for CoreWeave cloud services. It includes using `kubectl` to check resource quotas and demonstrates implementing robust request queuing mechanisms using Python's `asyncio` library, ensuring stable and efficient resource allocation for high-concurrency inference endpoints.
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Overview

CoreWeave Rate Limits

Overview

CoreWeave limits are primarily GPU quota-based rather than API rate limits. Each namespace has allocated GPU quotas per type.

Check GPU Quota

kubectl describe resourcequota -n my-namespace
kubectl get resourcequota -o json | jq '.items[].status'

Inference Request Queuing

import asyncio
from collections import deque

class InferenceQueue:
    def __init__(self, max_concurrent: int = 10):
        self.semaphore = asyncio.Semaphore(max_concurrent)
        self.queue_depth = 0

    async def inference(self, client, prompt: str) -> str:
        self.queue_depth += 1
        async with self.semaphore:
            try:
                return await asyncio.to_thread(client.generate, prompt)
            finally:
                self.queue_depth -= 1

Resources

Next Steps

For security, see coreweave-security-basics.

Info
Category Development
Name coreweave-rate-limits
Version v20260423
Size 1.51KB
Updated At 2026-04-28
Language