Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Hermetiq serves as the pivotal control layer within the agentic build stack, positioned above components such as Bazel, remote caching, remote build execution (RBE), continuous integration (CI), and cost telemetry, effectively transforming rapid code modifications into consistent build and testing outcomes, diagnostic insights, and validated solutions. It processes various inputs including Bazel Build Event Protocol (BEP) notifications, action cache hit and miss data, finished remote tasks, OpenTelemetry metrics, logs, traces, and cloud expenditure information, subsequently converting these inputs into actionable recommendations for build optimization, thorough root-cause assessments, anomaly detection, and clear cost attribution. By utilizing Hermetiq, engineers can meticulously trace the specific target, test, action, input, or environmental variations responsible for a failed build, allowing for detailed comparisons of action keys, command lines, declared inputs, platforms, and cache behaviors that elucidate misses. Furthermore, it enables the isolation of factors such as queue wait times, worker saturation, data transfer durations, execution periods, and scheduling challenges in remote execution environments, ensuring a comprehensive understanding of the build process. Ultimately, Hermetiq enhances the efficiency and reliability of the build and testing cycle for developers.
Description
LMCache is an innovative open-source Knowledge Delivery Network (KDN) that functions as a caching layer for serving large language models, enhancing inference speeds by allowing the reuse of key-value (KV) caches during repeated or overlapping calculations. This system facilitates rapid prompt caching, enabling LLMs to "prefill" recurring text just once, subsequently reusing those saved KV caches in various positions across different serving instances. By implementing this method, the time required to generate the first token is minimized, GPU cycles are conserved, and throughput is improved, particularly in contexts like multi-round question answering and retrieval-augmented generation. Additionally, LMCache offers features such as KV cache offloading, which allows caches to be moved from GPU to CPU or disk, enables cache sharing among instances, and supports disaggregated prefill to optimize resource efficiency. It works seamlessly with inference engines like vLLM and TGI, and is designed to accommodate compressed storage formats, blending techniques for cache merging, and a variety of backend storage solutions. Overall, the architecture of LMCache is geared toward maximizing performance and efficiency in language model inference applications.
API Access
Has API
No
API Access
Has API
No
Integrations
Bazel
No
OpenTelemetry
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Hermetiq
Founded
2025
Country
United States
Website
www.hermetiq.com
Vendor Details
Company Name
LMCache
Country
United States
Website
lmcache.ai/
Product Features
Build Automation
Automated Testing
No
Build Cache
No
Build Management Tools
No
Build Metrics
No
Change Only Compiling
No
Debugging Tools
No
Dependency Management
No
IDE Compatibility
No
Parallel Testing
No
Plugin Library
No
Source Code Management
No
Version Conflict Resolution
No