Trieve Vector Inference
Deploy fast, unmetered embedding inference in your own VPC
# AI Tools DirectoryWhat is Trieve Vector Inference?
TVI is an in-VPC solution for fast, unmetered embedding inference. Get fastest-in-class embeddings using any private, custom, or open-source models from dedicated embedding servers hosted in your own cloud. Battle-tested by billions of documents and queries.
Problem
Users have challenges with deploying fast and unmetered embedding inference in their own VPCs.
Drawbacks of the old situation: Limited access to dedicated embedding servers, slow inference speed, and metered usage leading to cost constraints.
Solution
A VPC solution for fast, unmetered embedding inference.
Core features: Users can obtain fastest-in-class embeddings using private, custom, or open-source models from dedicated embedding servers hosted in their cloud.
Customers
Data scientists, AI engineers, research institutions, and companies leveraging large-scale embedding technologies.
Unique Features
Dedicated embedding servers for fast inference, unmetered usage leading to cost-effectiveness, and the ability to host private, custom, or open-source models within the user's cloud environment.
User Comments
Super fast and efficient embedding inference solution.
Great for handling large volumes of documents and queries.
Cost-effective and scalable for businesses.
Highly reliable and battle-tested in real-world scenarios.
Excellent support and customization options.
Traction
Currently, no specific quantitative data available on traction such as revenue, user base, or funding rounds.
Market Size
Global market size for AI inferences: Expected to reach $126.11 billion by 2025, growing at a CAGR of 30.25% from 2020 to 2025.
