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How DeepInfra Built on NVIDIA's Inference Stack and Why It Paid Off

Blog post from Deepinfra

Post Details
Company
Date Published
Author
Aray Sultanbekova
Word Count
714
Company Posts That Month
6
Language
English
Hacker News Points
-
Post removed?
No
Summary

DeepInfra's strategic integration of NVIDIA's inference software stack, including components like TensorRT-LLM, Dynamo, and NVFP4, has significantly enhanced its operational efficiency, as evidenced by the successful deployment of DeepSeek V4 with a remarkable 4x performance improvement. By relying on NVIDIA's Blackwell-generation GPUs and optimizing their models through quantization, DeepInfra has achieved a substantial reduction in infrastructure costs while maintaining performance, allowing developers to benefit from ongoing improvements without additional effort. This approach underscores DeepInfra's commitment to leveraging cutting-edge technology to provide faster and more cost-effective solutions, making it a pioneering force in scalable model deployment.

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