WEBVTT

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Introduction to serving large language models locally

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Compelling business reasons for self-hosting language models

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Approaching language models as scalable synchronous rest APIs

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Sourcing and downloading model weights for fast access

00:10:11 --> 00:13:42
Optimizing performance using dedicated open source inference engines

00:13:42 --> 00:15:23
Strategies for attaching scalable storage to virtual machines

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Implementing efficient token aggregation and billing middleware proxies

00:20:07 --> 00:23:16
Preventing system exhaustion through token validation and estimations

00:23:16 --> 00:26:31
Managing robust access credentials and API gateway limits

00:26:31 --> 00:28:21
Deploying models dynamically with distributed inference load balancers

00:28:21 --> 99:59:59
Best practices for architecture stability and production testing