GPU Cost Optimization

Slash your GPU infrastructure costs by up to 70% with intelligent orchestration, auto-scaling, and ML-powered resource allocation.

Expected Savings, Expected Impact

Companies using CoreValue have reduced their GPU costs dramatically

$2.4M

Average Annual Savings

68%

Cost Reduction

3 Days

Time to ROI

24/7

Automated Optimization

How We Optimize GPU Costs

🚀
Smart Auto-Scaling
Automatically scale GPU clusters up or down based on real-time workload demand
↓ 45% reduction in idle costs
💡
Spot Instance Intelligence
Leverage spot instances with smart fallback strategies for non-critical workloads
↓ 90% savings on spot instances
📊
Resource Rightsizing
ML algorithms analyze usage patterns and recommend optimal GPU configurations
↓ 35% through rightsizing
⏰
Idle Shutdown
Detect and automatically terminate idle GPUs with configurable grace periods
↓ 50% idle resource waste
🎯
Workload Optimization
Route training jobs to the most cost-effective GPU types (A100, H100, V100)
↓ 28% through smart routing
💰
Budget Controls
Set spending limits per team, project, or workload with real-time enforcement
100% budget compliance

Optimization Strategies

Multi-Cloud Arbitrage

Automatically route workloads to the cheapest cloud provider in real-time. Compare prices across AWS, GCP, and Azure to find the best rates for your GPU needs.

Preemptible GPU Management

Use preemptible/spot instances for fault-tolerant workloads with intelligent checkpointing and automatic failover to on-demand when necessary.

Batch Job Consolidation

Queue and batch similar workloads to maximize GPU utilization and minimize startup/shutdown overhead costs.

Reserved Capacity Planning

Analyze historical patterns to recommend optimal reserved instance purchases for predictable workloads, saving up to 60% vs on-demand.

Monthly Cost Breakdown

See where your GPU spend goes and how much you save

Before CoreValue $156,000
After CoreValue $49,920
Total Monthly Savings
$106,080
68% cost reduction

Real-World Success Stories

See how companies are slashing GPU costs with CoreValue

🤖

AI Startup

Reduced training costs from $180K to $58K per month by automatically using spot instances and optimizing cluster sizes.

67% Savings
🏢

Enterprise ML Team

Eliminated $2.1M in annual waste by shutting down idle GPUs and rightsizing overprovisioned clusters across 15 projects.

72% Savings
🎮

Gaming Company

Optimized rendering farm costs by scheduling batch jobs during off-peak hours and using multi-cloud arbitrage.

55% Savings
🔬

Research Lab

Cut research compute budget by 61% through intelligent workload scheduling and automated resource deallocation.

61% Savings
🎬

Media Production

Reduced video rendering costs by $95K monthly using dynamic scaling and spot instance fallback strategies.

58% Savings
💊

Pharma Research

Optimized drug discovery simulations by distributing workloads across the most cost-effective GPU types in real-time.

64% Savings