Building and maintaining a high-performance image generation service with seven GPUs presents numerous challenges, especially when it comes to failure handling. Here are some common issues that can arise in production environments and strategies to address them:
Common Issues
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GPU Overheating
- Symptoms: Increased latency, reduced throughput, thermal throttling.
- Causes: Insufficient cooling, fan failures, high ambient temperatures.
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Network Latency or Downtime
- Symptoms: Delays in API response times, failed requests.
- Causes: Network congestion, DNS issues, ISP problems.
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Redis Failures
- Symptoms: Enqueue delays, routing failures, inconsistent state.
- Causes: Redis server crashes, network partitions, configuration errors.
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Model Loading Issues
- Symptoms: Increased latency on cold starts, failed requests.
- Causes: Corrupted model files, disk I/O issues, memory leaks.
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Prompt Encoding Errors
- Symptoms: Validation failures, inconsistent results.
- Causes: Malformed prompts, encoding errors, validation logic bugs.
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**Denoising
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Ali NematiWritten by Ali
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