Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Introducing Speedb, the cutting-edge key-value storage engine that is fully compatible with RocksDB, offering enhanced stability, efficiency, and performance improvements. By becoming a part of the Hive, Speedb’s open-source community, you can engage with others to refine and exchange insights and best practices regarding RocksDB. Speedb stands as a viable alternative for users of LevelDB and RocksDB who are looking to elevate their applications. If you are utilizing event streaming platforms such as Kafka, Flink, Spark, Splunk, or Elastic, incorporating Speedb can significantly boost their performance. The growing volume of metadata in contemporary data sets is leading to notable performance challenges for various applications, but with Speedb, you can maintain affordable costs while ensuring your applications run seamlessly, even during peak demand. When considering whether to upgrade or implement a new key-value store within your infrastructure, Speedb is well-equipped to meet the demands. By integrating Speedb's sophisticated key-value storage engine into your projects, you will swiftly notice enhancements in performance and efficiency, allowing you to focus on innovation rather than troubleshooting.
Description
Tensormesh serves as an innovative caching layer designed for inference tasks involving large language models, allowing organizations to capitalize on intermediate computations, significantly minimize GPU consumption, and enhance both time-to-first-token and overall latency. By capturing and repurposing essential key-value cache states that would typically be discarded after each inference, it eliminates unnecessary computational efforts and achieves “up to 10x faster inference,” all while substantially reducing the strain on GPUs. The platform is versatile, accommodating both public cloud and on-premises deployments, and offers comprehensive observability, enterprise-level control, as well as SDKs/APIs and dashboards for seamless integration into existing inference frameworks, boasting compatibility with inference engines like vLLM right out of the box. Tensormesh prioritizes high performance at scale, enabling sub-millisecond repeated queries, and fine-tunes every aspect of inference from caching to computation, ensuring that organizations can maximize efficiency and responsiveness in their applications. In an increasingly competitive landscape, such enhancements provide a critical edge for companies aiming to leverage advanced language models effectively.
API Access
Has API
API Access
Has API
Integrations
Apache Kafka
Apache Spark
Elastic Cloud
Flink
RocksDB
Splunk Cloud Platform
Integrations
Apache Kafka
Apache Spark
Elastic Cloud
Flink
RocksDB
Splunk Cloud Platform
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Speedb
Country
Israel
Website
www.speedb.io
Vendor Details
Company Name
Tensormesh
Founded
2025
Country
United States
Website
www.tensormesh.ai/