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HAMi GPU Asset ROI Calculator

Compare the effective value of the same GPU investment under no HAMi, HAMi OSS and HAMi Enterprise, with adjustable market and data-center assumptions.

Quick scenarios:
Calculation parameters
GPU model: NVIDIA A100 80G
GPU count: 1,000 GPUs
Unit price: $16K
Current utilization: 25%
OSS target: 35%
Enterprise target: 70%
Select GPU vendor and model
Number of GPUs1,000 GPUs
Unit price (adjustable)16,000
Current average utilization (no sharing)25%
HAMi OSS expected utilization (40% cap)35%
HAMi Enterprise expected utilization (80% cap)70%
Advanced TCO parameters (servers, power and electricity)
On-premises model: electricity = (GPU power × load factor + server base power) × PUE × 8,760 hours × electricity price. Use rack fees separately for colocation or rented IDC capacity.
5-Year TCO On-premises DC
GPU $16M + Servers $4.25M (125) + Network/Storage $2.43M + 5y Power $2.87M
$25.55M
Three Options · Effective Output
Same hardware spend — how much asset value each option actually activates
25%
No HAMi
$6.39M
Dedicated GPUs · assets dormant
Covers first 200 GPUs only
27%
HAMi OSS
$6.9M
First 200 GPUs to 35%
Other 800 GPUs stay at 25%
Recommended
70%
HAMi Enterprise
$17.88M
Expected to 70% · Unlimited scale
Enterprise cap 80%
OSS cap 40%
No HAMi
Dedicated GPUs · status quo
25%
Actual utilization
—
No sharing
$6.39M
Effective output
  • One job per GPU, massive idle
  • No memory/compute sharing
  • Scaling means buying more
HAMi OSS
CNCF Incubating · Free
40%
Utilization cap
Exceeded
200
GPU scale cap
$6.9M
Effective output
  • vGPU slicing · memory/compute isolation
  • Best for fleets ≤ 200 GPUs
  • Community support, no SLA
  • 1,000 GPUs exceed the OSS capacity cap
Best
HAMi Enterprise
Dynamia AI · Commercial support
80%
Utilization cap
Unlimited
GPU scale · 10k+
$17.88M
Effective output
  • Memory oversubscription (UMI) · elastic scaling
  • Multi-cluster management · enterprise SLA
  • 24×7 expert support
Direct Savings from Higher Utilization
Same workload — resources no longer needed after utilization rises from 25% (GPU + servers + power & cooling):
HAMi OSS@ eff. 27%
Frees 74 GPUs · 9 servers
GPU purchase$1.18M
Servers$306K
Network / Storage$178.8K
5-yr electricityrecurring$209.84K
Total equivalent savings$1.88M
HAMi Enterprise@ eff. 70%
Frees 642 GPUs · 80 servers
GPU purchase$10.27M
Servers$2.72M
Network / Storage$1.56M
5-yr electricityrecurring$1.84M
Total equivalent savings$16.39M
≈ 41.0× the Enterprise software cost ($400K)
Equivalent savings compare resource footprints at the same workload. Realized as: deferred purchases, retiring older GPUs, freeing capacity for new workloads, or reducing rented capacity. Electricity savings recur annually (on-prem DC scope).
Value created by HAMi Enterprise
Dormant asset value unlocked vs. no HAMi
$11.5M
Even vs. free OSS: extra cost $400K, extra value $10.99M, net gain $10.59M (27.5×)
Avoided purchase: same output without HAMi would require +1,800 more GPUs (incl. servers & 5-yr power, ≈ $45.98M) — Enterprise delivers it on your existing fleet
Enterprise software cost (est.)
$400K
Return on investment
28.7 ×
Payback period
2.1 months
Calculation assumptions

OSS boundary: The model assumes a 40% utilization ceiling and full coverage for up to 200 GPUs. Capacity beyond 200 GPUs remains at baseline utilization.

Enterprise model: The model assumes up to 80% utilization with large-scale scheduling, multi-cluster management and enterprise support. Actual improvement depends on workload mix and operational maturity.

TCO scope: Five years of GPU, server base, network/storage and electricity costs. It excludes staffing, facility construction, residual value and colocation rack fees. Enterprise cost is estimated at 2.5% of GPU hardware investment; actual pricing varies by deployment.