Tensor Engine Open Source
Open-source GPU virtualization engine
Cut GPU costs by 60–80% with an open-source community
Who is it for
Teams validating GPU virtualization, remote sharing, and zero-intrusion access can start quickly with the open-source edition.
- Keep existing CUDA applications unchanged
- Share idle GPU capacity with more experiments
- Validate the technology before enterprise management
From open source to production
The open-source edition provides core virtualization; production environments add console, tenancy, monitoring, and SLA capabilities.
- Validate on local or test clusters
- Use Tensor OS for multi-tenancy and operations
- Add audit, alerts, and commercial support in production
核心能力
轻量高效的 GPU 虚拟化方案，零侵入接入
GPU virtualization
Partition one GPU, aggregate many GPUs, and allocate compute flexibly.
Remote GPU sharing
Access GPU resources across networks and remove physical boundaries.
Smart scheduling
Use load-aware scheduling to optimize resource allocation automatically.
Oversubscription
Allocate GPU resources safely above physical capacity to improve utilization.
Zero intrusion
Run CUDA applications without changing application code.
Community driven
A healthy open-source community continuously improves the engine.
社区版 vs 企业版
选择适合您团队的版本
| 功能 | 社区版 (CE) | 企业版 (EE) |
|---|---|---|
| GPU 虚拟化 | ||
| 远程 GPU 共享 | ||
| 智能调度 | 基础 | 高级 |
| 超额订阅 | ||
| 多租户管理 | ||
| 全栈监控 | 基础指标 | 全链路 |
| 高可用保障 | ||
| 安全合规（等保） | ||
| Web 管理控制台 | ||
| 商业支持 & SLA |