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NVIDIACloud Bursting

Hybrid Cloud Bursting

Optimize costs with hybrid architecture: on-premise GPU cluster for baseline workloads, automatic bursting to cloud for peak demands. Best of both worlds.

Cost Comparison

Compare deployment models and find the optimal balance

On-Premise Only

Upfront:$500K
Monthly:$50K
Utilization:40-60%

Pros:

  • Full control
  • Data sovereignty
  • Predictable costs

Cons:

  • High upfront cost
  • Underutilization
  • Limited scalability

Cloud Only

Upfront:$0
Monthly:$150K
Utilization:100%

Pros:

  • No upfront cost
  • Unlimited scale
  • Pay-as-you-go

Cons:

  • High ongoing costs
  • Data transfer fees
  • Less control
Recommended

Hybrid (Recommended)

Upfront:$200K
Monthly:$70K
Utilization:85-95%

Pros:

  • Optimized costs
  • Flexible scaling
  • Best of both worlds

Cons:

  • Complexity
  • Integration needed

Bursting Triggers & Policies

Intelligent workload distribution based on configurable policies

Queue Depth

Burst when job queue exceeds threshold

Example:

> 50 jobs waiting

Resource Utilization

Burst when on-prem GPUs are fully utilized

Example:

> 90% GPU utilization for 15 minutes

Time-based

Scheduled bursting for predictable workloads

Example:

Weekday 9 AM - 5 PM

Cost-based

Burst based on cloud spot pricing

Example:

When spot price < $1.50/hour

Supported Cloud Providers

Burst to major cloud providers with GPU availability

Google Cloud

Google Cloud (GCP)

Available GPUs:

A100, V100, T4

Regions:

us-central1, europe-west4, asia-southeast1

Features:

  • Preemptible VMs
  • Committed use discounts
  • TPU support
Microsoft Azure

Microsoft Azure

Available GPUs:

A100, V100, T4

Regions:

East US, West Europe, Southeast Asia

Features:

  • Spot instances
  • Reserved instances
  • Azure ML integration
AWS

Amazon AWS

Available GPUs:

A100, V100, T4

Regions:

us-east-1, eu-west-1, ap-southeast-1

Features:

  • Spot instances
  • Savings plans
  • SageMaker integration

Implementation Process

Structured approach to hybrid cloud deployment

1

Assessment

1-2 weeks

  • Workload analysis
  • Cost modeling
  • Architecture design
2

Setup

2-4 weeks

  • On-prem cluster setup
  • Cloud account configuration
  • Network connectivity
3

Integration

2-3 weeks

  • Scheduler integration
  • Data synchronization
  • Testing & validation
4

Optimization

Ongoing

  • Cost monitoring
  • Performance tuning
  • Policy refinement

Pricing Example

Real-world cost breakdown for hybrid deployment

On-Premise

8x A100 GPUs
$20,000/mo
Upfront: $200,000
60% utilization

Cloud Burst

40% burst to cloud
+$50,000/mo
30% vs cloud-only

Total

Hybrid Model
$70,000/mo
40% better utilization
53% cost savings

Actual costs vary based on workload patterns, cloud pricing, and configuration.Get a custom cost analysis →

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