Build World-Class AI Infrastructure Reduce Costs 60%, Boost Utilization 3x
Complete GPU virtualization and pooling solution for AI platform companies and large enterprises. Go beyond rigid vendor solutions with advanced scheduling, multi-vendor support, and enterprise-grade operations.
Built to cover your needs
Complete GPU virtualization and pooling solution for intelligent computing platforms
Enterprise-Grade Virtualization
Heterogeneous GPU virtualization engine supporting various vendors and advanced scheduling modes for maximum flexibility.
You have full control
K8S-based enterprise-grade scheduler with dynamic scaling, vGPU partitioning, and bin-packing strategies for complete resource control.
Powered By Innovation
GPU-over-IP remote computing power calling engine with low-latency technology and standardized management APIs.
Core Features
Complete GPU virtualization and pooling solution for intelligent computing platforms
Heterogeneous GPU Virtualization Engine
Support for various virtualization modes from heterogeneous vendors, advanced scheduling modes, virtual machine vGPU solutions.
K8S-based Enterprise-grade Computing Power Scheduler
Dynamic scaling, vGPU partitioning, bin-packing, rebalance, and other advanced scheduling strategies.
GPU-over-IP Remote Computing Power Calling Engine
Low-latency remote GPU invocation technology for accessing GPU resources across networks.
Target Customers
Companies building AI infrastructure platforms that need complete GPU virtualization and pooling solutions.
Enterprise teams managing GPU infrastructure who need advanced scheduling and virtualization capabilities.
New GPU cloud vendors looking for flexible, scalable GPU management solutions.
Key Benefits
Flexible GPU Partitioning
GPU devices can be flexibly partitioned according to user computing power requirements with complete virtualization and isolation.
Advanced Scheduling
Move beyond rigid OEM and default K8s solutions. Achieve dynamic scaling, vGPU partitioning, bin-packing, and rebalance.
Simplified Operations
Standardized components reduce O&M complexity. Unified monitoring, alerting, and billing modules eliminate redundant development.
Standardization and Automation
High standardization and automation levels reduce maintenance burden for intelligent computing platform providers.
Pricing Model
One-time buyout + maintenance fee, or joint R&D for large projects
One-time Buyout + Maintenance Fee
After platform first deployment, can be used indefinitely in other customer projects. Each customer pays a small fixed annual maintenance fee for subsequent maintenance and upgrades.
Joint R&D
For large projects, priced individually based on the proportion of investment from both parties.
Transform Your GPU Infrastructure
Contact us to learn how Tensor Engine can help your organization