Saving 50%+ on GPU Spend with
0
Upfront Cost. Pay-as-you-go
0%-4%
of GPU rental fee
1800%+
ROI.
Transparent, Predictable Pricing
Billed by FP16 TFlops per month
0 - 800 TFlops
$0per TFlop
Examples
● 12x NVIDIA T4
● 4x RTX 4090 Ti
● 6x AWS g6.xlarge
● 2x A100
800 - 5,000 TFlops
$0.12per TFlop
Examples
● 5x NVIDIA H100
● 10x AWS g6.12xlarge
● 16x A100
● 40x Azure NV36ads A10
5,000 - 100,000 TFlops
$0.10per TFlop
Examples
● 100x NVIDIA H100
● 10x AWS g6.12xlarge
● 16x A100
● 800x Azure NV36ads A10
100,000+ TFlops
$0.08per TFlop
Examples
● 100x NVIDIA B200
● 50x AWS p5.48xlarge
● 1000x L4
● 2000x Azure NV36ads A10
While cloud vendor bills $1.6-$6.0 per TFLOPS per month
TensorFusion price $0.1 ÷ Typical cloud vendor price $3.0 = 3.3%
Calculate Your Savings
Monthly Costs
Est. GPU Rental Cost$1,549 /mo - $5,808 /mo
TensorFusion Onboarding Cost $116.16 /mo
% of GPU Cost3.16%
ROI Analysis
Est. Potential Savings$774.5 /mo - $2,904 /mo
Final TensorFusion Cost$0 /mo
ROI∞
Real-World Examples
Small Teams: 4x L4 Setup
4x AWS g6.xlarge ({tflops} FP16 TFlops)
On-Demand3-Year Reserved
AWS EC2 Cost$2,586/mo$1,078/mo
TensorFusion Cost$0/mo$0/mo
Potential Savings$1,293/mo$539/mo
% of GPU Cost0.00%0.00%
ROI∞∞
Growing Teams: 400x L4 Fleet
100x AWS g6.12xlarge ({tflops} FP16 TFlops)
On-Demand3-Year Reserved
AWS EC2 Cost$369,779/mo$169,695/mo
TensorFusion Cost$4,840/mo$4,840/mo
Potential Savings$184,889.5/mo$84,847.5/mo
% of GPU Cost1.31%2.85%
ROI7640%3506%
Mid-Large Company: A100 x Unlimited
AWS P4d.24xlarge ({tflops} FP16 TFlops)
On-Demand3-Year Reserved
AWS EC2 Cost$16,040/mo$7,533/mo
TensorFusion Cost$200/mo$200/mo
Potential Savings$8,020/mo$3,766.5/mo
% of GPU Cost1.25%2.65%
ROI8020%3767%
Enterprise Scale: H100/H200 x Unlimited
AWS P5.48xlarge ({tflops} FP16 TFlops)
On-Demand3-Year Reserved
AWS EC2 Cost$44,227/mo$19,106/mo
TensorFusion Cost$633/mo$633/mo
Potential Savings$22,113.5/mo$9,553/mo
% of GPU Cost1.43%3.31%
ROI6987%3018%
Beyond Cost Savings
Simplified AI Infrastructure
- Unified Control Plane: Manage all GPU resources from a single interface
- Enhanced Observability: Real-time monitoring and analytics
- Improved Stability: Automatic failover and resource optimization
Superior Performance
- GPU-First Auto-scaling: Scale based on actual GPU utilization, not CPU metrics
- Elastic Resource Allocation: Dynamically adjust resources across workloads
- Increased Throughput: Eliminate GPU idle time with intelligent scheduling
Operational Excellence
- Zero-downtime Updates: Seamlessly migrate workloads during maintenance
- Multi-model Optimization: Run multiple models on the same GPU efficiently
- Resource Isolation: Ensure predictable performance across teams
Start Transforming your AI Infra Today
No upfront costs. No minimum commitment. Pay only for what you use.
*All calculations based on AWS pricing as of August 2025. Actual savings may vary based on workload characteristics and usage patterns. Currently, almost all TensorFusion customers achieved 50%+ GPU cost optimization.