OctoAI CacheFlow
Shares tags: build, serving, token optimizers
The Open-Source Engine that Boosts Efficiency with Paged Attention and Aggressive KV Caching.
Similar Tools
Other tools you might consider
OctoAI CacheFlow
Shares tags: build, serving, token optimizers
PromptLayer Token Optimizer
Shares tags: build, serving, token optimizers
TokenMonster
Shares tags: build, serving, token optimizers
OpenAI Token Compression
Shares tags: build, serving, token optimizers
<a href="https://www.stork.ai/en/sglang-prefill-server" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/sglang-prefill-server?style=dark" alt="SGLang Prefill Server - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/sglang-prefill-server)
overview
SGLang Prefill Server is an innovative open-source engine designed to optimize your applications' performance. With its unique paged attention model and aggressive key-value caching, it streamlines processes and enhances speed, allowing developers to focus on building great solutions.
features
SGLang Prefill Server boasts a variety of powerful features tailored to developer needs. From efficient memory management to robust scalability options, our engine provides the tools necessary for high-performance application development.
use cases
SGLang Prefill Server is perfect for a variety of applications, whether you're developing complex systems or lightweight services. Its versatility ensures that it meets the demands of any project, big or small.
The SGLang Prefill Server is designed to work seamlessly with multiple programming languages, making it a versatile choice for various development environments.
Absolutely! Our open-source model fosters a vibrant community of developers who contribute to ongoing improvements and support.
Getting started is easy! Visit our GitHub page at https://github.com/sgl-project/sglang for documentation and installation instructions.
More on Stork
Other tools in this category, ranked by community signal
TokenMonster
🧩 Build
Optimized tokenizer library that minimizes token counts per prompt.
Neural Magic DeepSparse
🧩 Build
Sparse inference runtime that reduces token latency on CPUs.
GPTCache
🧩 Build
Embedding-aware cache layer to dedupe repeated LLM prompts.
LongLLMLingua
🧩 Build
Prompt compression toolkit that shrinks context windows with minimal loss.
Azure ML Triton Endpoints
🧩 Build
Azure-managed Triton servers with autoscale.
NVIDIA TensorRT Cloud
🧩 Build
Managed TensorRT-LLM compilation and deployment.
For builders
AI agents read it. Buyers find it. Backlinks accrue. Your tool can have one too — live in 24 hours, indexed by Claude, ChatGPT, and Perplexity, queryable via MCP.