Best place to host Whisper #327
Replies: 5 comments 4 replies
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Hello, I have implemented faster-whisper with the large-v2 model in a professional environment. It is hosted on old hardware with 8GB RAM and GPU GTX1060 6GB VRAM, ubuntu os. This is an excellent price-performance ratio. |
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AWS g4dn.xlarge EC2 |
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Are there any updates on this topic? I'm interested in hosting either faster-whisper or whisper.cpp. As I understand it, whisper.cpp could be more cost-effective because it can run quickly on inexpensive VMs. However, faster-whisper is faster when used with a high-end GPU-based VM. |
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Use an AWS g4dn.xlarge EC2 or AWS g5.xlarge EC2, both wokr great. |
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Have you tried with AWS Inf1 Instance? |
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For a medical app, I'm looking for either a HIPAA compliant Whisper API endpoint (I believe OpenAI's is not) or a way to self-host (either through self-hosting GPU hardware or through a cloud-based instance like AWS, or Azure). I am wondering what the most cost effective way is to host the large-v2 model?
Does anyone have any performance metrics for different instances running whisper, faster-whisper, or whisper.cpp? For the large model, I would like to understand whether running on the GPU is generally recognized as faster and more cost effective (cost of instance vs runtime)? Which type of instance on a cloud provider would be recommended for this model? We want to be able to scale if needed without too much hassle.
Thanks so much.
Mark
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