About Seal

Seal offers an enterprise-grade LLM as a Service platform that enables organizations to deploy generative AI solutions securely and privately within their own environments. The platform supports multiple inference engines and provides tools for streamlined AI development, ensuring high availability and optimal GPU utilization across various operating systems.

<problem> Organizations need to deploy generative AI solutions securely and privately within their own environments, but face challenges in managing infrastructure, ensuring high availability, and optimizing GPU utilization. Existing solutions often lack the flexibility to adapt to different operating systems and hardware configurations. </problem> <solution> GPUStack is an open-source LLM as a Service platform that enables organizations to build and deploy generative AI solutions with flexibility, privacy, and security. The platform is designed to be adaptable across various environments, from desktops to servers, and supports major operating systems and GPU hardware. GPUStack offers one-click deployment with a fully integrated technical stack, streamlining AI development and ensuring enterprise-readiness. By providing complete control over data and access within the user's environment, GPUStack prioritizes privacy and security. </solution> <features> - Platform flexibility: Adaptable from desktop to server across major OS and GPU hardware. - Enterprise-ready: One-click deployment with a fully integrated technical stack. - Privacy & Security: 100% open-source, fully on-premise, providing complete data control. - Multiple Inference Engines & Model Types: Supports vLLM, llama.cpp, and more for cross-platform compatibility. - Flexible Scheduling and High Availability: Ensures maximum GPU utilization and high availability with flexible scheduling strategies and automated resource calculation. - Streamlined AI Development: Playground enables fast iteration and testing with prompt tests, parameter configuration, multi-model comparison, and code examples. - Comprehensive Monitoring and Metrics: Dashboard provides real-time insights into system performance, resource usage, and API access statistics. </features> <target_audience> The primary audience includes enterprises seeking to adopt generative AI while maintaining control over their data and infrastructure, as well as developers looking for a flexible and easy-to-use platform for AI development and deployment. </target_audience>

What does Seal do?

Where is Seal located?

Seal is based in Shenzhen, China.

When was Seal founded?

Seal was founded in 2022.

Location

Shenzhen, China

Founded

2022

Employees

3 employees

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Seal

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Executive Summary

seal.io 50+

Founded 2022 – Shenzhen, China

Funding

No funding information available.

Team (<5)

No team information available.

Company Description

Problem

Organizations need to deploy generative AI solutions securely and privately within their own environments, but face challenges in managing infrastructure, ensuring high availability, and optimizing GPU utilization. Existing solutions often lack the flexibility to adapt to different operating systems and hardware configurations.

Solution

GPUStack is an open-source LLM as a Service platform that enables organizations to build and deploy generative AI solutions with flexibility, privacy, and security. The platform is designed to be adaptable across various environments, from desktops to servers, and supports major operating systems and GPU hardware. GPUStack offers one-click deployment with a fully integrated technical stack, streamlining AI development and ensuring enterprise-readiness. By providing complete control over data and access within the user's environment, GPUStack prioritizes privacy and security.

Features

Platform flexibility: Adaptable from desktop to server across major OS and GPU hardware.

Enterprise-ready: One-click deployment with a fully integrated technical stack.

Privacy & Security: 100% open-source, fully on-premise, providing complete data control.

Multiple Inference Engines & Model Types: Supports vLLM, llama.cpp, and more for cross-platform compatibility.

Flexible Scheduling and High Availability: Ensures maximum GPU utilization and high availability with flexible scheduling strategies and automated resource calculation.

Streamlined AI Development: Playground enables fast iteration and testing with prompt tests, parameter configuration, multi-model comparison, and code examples.

Comprehensive Monitoring and Metrics: Dashboard provides real-time insights into system performance, resource usage, and API access statistics.

Target Audience

The primary audience includes enterprises seeking to adopt generative AI while maintaining control over their data and infrastructure, as well as developers looking for a flexible and easy-to-use platform for AI development and deployment.