Nanonets experienced elevated 5xx errors and timeouts for Instant Learning models using LLM Nano due to GPU service provider infrastructure issues. The team mitigated the problem by temporarily routing LLM Nano traffic to the more stable LLM Mini variant, which improved file processing speed and reliability. The incident was fully resolved after 51 minutes.
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This incident has been resolved.
We’ve temporarily routed LLM Nano traffic to LLM Mini, a more stable, accurate and higher-capacity variant, to mitigate errors.
File processing should now be faster and more reliable while we continue working on resolving the underlying issue.
We are currently investigating an issue affecting our GPU service provider infrastructure, which is causing elevated 5xx errors and timeouts for Instant Learning models using LLM Nano.
Our team is actively working with the provider to identify and resolve the underlying network issues. We will share further updates as soon as we have more information.
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