Hybrid Cloud
Seamlessly blend on-premises GPU power with elastic cloud resources. Scale in seconds, whether training LLMs or running inference at peak demand.
Combine the control of dedicated infrastructure with the flexibility of cloud computing. Burst to cloud GPUs during peak demand while maintaining cost-effective baseline capacity.
Key Benefits
Instant Scalability
Scale from dedicated GPUs to cloud resources in seconds. Handle traffic spikes and peak workloads without over-provisioning.
Cost Optimization
Pay only for cloud resources when you need them. Optimize costs by using dedicated infrastructure for baseline workloads.
Unified Management
Manage both dedicated and cloud resources through a single API and dashboard. Seamless workload migration.
Architecture Overview
Dedicated Infrastructure
Your baseline compute capacity with guaranteed performance and predictable costs.
- •Dedicated GPU clusters in our datacenters
- •Full control and customization
- •Predictable monthly costs
- •Low latency for critical workloads
- •Data sovereignty compliance
Cloud Bursting
On-demand GPU resources that automatically scale based on workload demands.
- •Instant provisioning of GPU instances
- •Auto-scaling based on metrics
- •Pay-per-use pricing model
- •Global edge locations
- •Seamless workload migration
Unified Network & Management
Network Integration
- • Private network between dedicated and cloud
- • Low-latency interconnect
- • Unified IP addressing
- • VPN and secure tunnels
Management Platform
- • Single API for all resources
- • Unified monitoring and logging
- • Automated scaling policies
- • Cost optimization recommendations
Use Cases
LLM Training & Inference
Train models on dedicated infrastructure, then burst to cloud for inference during peak demand periods.
- Dedicated clusters for training workloads
- Auto-scale inference endpoints
- Handle traffic spikes automatically
Batch Processing
Run scheduled batch jobs on dedicated infrastructure, burst to cloud for ad-hoc processing.
- Predictable costs for scheduled jobs
- On-demand capacity for urgent tasks
- Job queue management
Development & Testing
Use dedicated resources for production, cloud for development and testing environments.
- Cost-effective dev/test environments
- Spin up test clusters on demand
- Production-grade dedicated resources
Disaster Recovery
Maintain dedicated primary infrastructure with cloud-based backup and failover capabilities.
- Automated failover to cloud
- Cross-region redundancy
- RTO < 5 minutes
Pricing Model
Dedicated Infrastructure
- Monthly CommitmentStarting at $2,000/month per GPU
- Reserved InstancesUp to 60% discount with 1-3 year terms
- What's IncludedPower, cooling, networking, 24/7 support
Cloud Resources
- Pay-As-You-Go$0.50/hour per GPU
- Spot InstancesUp to 70% discount for interruptible workloads
- Auto-ScalingNo additional fees for scaling automation
Cost Optimization
Our platform automatically recommends optimal resource allocation between dedicated and cloud based on your usage patterns. Typical customers save 30-40% compared to cloud-only or dedicated-only deployments.
Key Features
Auto-Scaling
Automatically scale cloud resources based on CPU, GPU, memory, or custom metrics. Set min/max limits and scaling policies.
Workload Migration
Seamlessly migrate workloads between dedicated and cloud resources. Zero-downtime migrations with our orchestration platform.
Unified API
Single API to manage both dedicated and cloud resources. Consistent interface regardless of where your workloads run.
Cost Analytics
Real-time cost tracking and optimization recommendations. Understand spending across dedicated and cloud resources.