StreamingLLM VS LMCache

Let’s have a side-by-side comparison of StreamingLLM vs LMCache to find out which one is better. This software comparison between StreamingLLM and LMCache is based on genuine user reviews. Compare software prices, features, support, ease of use, and user reviews to make the best choice between these, and decide whether StreamingLLM or LMCache fits your business.

StreamingLLM

StreamingLLM
Introducing StreamingLLM: An efficient framework for deploying LLMs in streaming apps. Handle infinite sequence lengths without sacrificing performance and enjoy up to 22.2x speed optimizations. Ideal for multi-round dialogues and daily assistants.

LMCache

LMCache
LMCache is an open-source Knowledge Delivery Network (KDN) that accelerates LLM applications by optimizing data storage and retrieval.

StreamingLLM

Launched 2024
Pricing Model Free
Starting Price
Tech used
Tag Workflow Automation,Developer Tools,Communication

LMCache

Launched 2024-10
Pricing Model Free
Starting Price
Tech used Google Analytics,Google Tag Manager,cdnjs,Cloudflare CDN,Fastly,Google Fonts,GitHub Pages,Gzip,HTTP/3,Varnish
Tag Infrastructure,Data Pipelines,Developer Tools

StreamingLLM Rank/Visit

Global Rank
Country
Month Visit

Top 5 Countries

Traffic Sources

LMCache Rank/Visit

Global Rank 475554
Country China
Month Visit 59830

Top 5 Countries

31.32%
26.42%
12.18%
6.77%
5.78%
China United States India Hong Kong Korea, Republic of

Traffic Sources

6.12%
0.99%
0.14%
13.7%
27.62%
51.36%
social paidReferrals mail referrals search direct

Estimated traffic data from Similarweb

What are some alternatives?

When comparing StreamingLLM and LMCache, you can also consider the following products

vLLM - A high-throughput and memory-efficient inference and serving engine for LLMs

EasyLLM - EasyLLM is an open source project that provides helpful tools and methods for working with large language models (LLMs), both open source and closed source. Get immediataly started or check out the documentation.

LLMLingua - To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

LazyLLM - LazyLLM: Low-code for multi-agent LLM apps. Build, iterate & deploy complex AI solutions fast, from prototype to production. Focus on algorithms, not engineering.

More Alternatives