Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install jeremylongshore-claude-code-plugins-plus-skills-plugins-saas-packs-coreweave-pack-skills-coreweave-rate-limitsgit clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills.gitcp claude-code-plugins-plus-skills/SKILL.MD ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-plugins-saas-packs-coreweave-pack-skills-coreweave-rate-limits/SKILL.md---
name: coreweave-rate-limits
description: 'Handle CoreWeave API and GPU quota limits.
Use when hitting quota limits, managing GPU resource allocation,
or implementing request queuing for inference endpoints.
Trigger with phrases like "coreweave quota", "coreweave limits",
"coreweave gpu allocation", "coreweave throttle".
'
allowed-tools: Read, Write, Edit, Bash(kubectl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- gpu-cloud
- kubernetes
- inference
- coreweave
compatibility: Designed for Claude Code
---
# 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
```bash
kubectl describe resourcequota -n my-namespace
kubectl get resourcequota -o json | jq '.items[].status'
```
## Inference Request Queuing
```python
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
- [CoreWeave Node Pools](https://docs.coreweave.com/products/cks/nodes/manage)
## Next Steps
For security, see `coreweave-security-basics`.