SGLang Prefill Server
Shares tags: build, serving, token optimizers
Slash LLM token costs with advanced caching and KV reuse.
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<a href="https://www.stork.ai/en/octoai-cacheflow" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/octoai-cacheflow?style=dark" alt="OctoAI CacheFlow - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/octoai-cacheflow)
overview
OctoAI CacheFlow serves as an accelerated inference and caching layer designed specifically for foundation and generative AI models. Our goal is to provide extremely low latency and reduce costs for your production-grade AI applications.
features
CacheFlow comes equipped with cutting-edge features designed for both developers and enterprises. Our managed infrastructure simplifies scaling AI workloads while maintaining top-notch performance.
use cases
Designed for ML engineers, developers, and businesses looking to build AI-powered applications, CacheFlow is ideal for those demanding high performance and low costs. Whether you're prototyping or deploying at scale, CacheFlow fits your needs.
By leveraging prefill caching and KV reuse, CacheFlow significantly reduces LLM token costs, optimizing your budget while enhancing performance.
CacheFlow features pre-optimized versions of popular open-source models such as Stable Diffusion and FLAN-UL2, providing you with high-speed inference capabilities.
Absolutely! CacheFlow is engineered for efficiency at scale, with automated optimization ensuring you can manage high-volume workloads without hassle.
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For builders
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