Live router
Route a workload across the world's compute
Adjust the workload definition below. The local routing engine returns a ranked plan, a recommended split, plain-English reasoning, and the exact next step to take.
Workload definition
Scoring runs locally. No paid APIs, no telemetry, no surprises.
Recommendation
Route Frontier-7B finetune to Private AI Datacenter
For a training workload with a $80,000 monthly envelope, Private AI Datacenter is the best primary route. We split 35% to Private AI Datacenter, 33% to Sovereign EU Cluster, and 32% to Research Supercomputing so you do not depend on a single supplier.
Blended monthly cost
$1,539
Across 3 routes · weighted by fit
Why this route won
Private AI Datacenter won on cost efficiency, operational reliability.
Operational next step
Provision a pilot allocation on Private AI Datacenter this week, mirror to the #2 pool for failover, then expand the split once steady-state cost and latency are confirmed.
Recommended split
35%
33%
32%
Private AI Datacenter
35% · $1,368/mo · 22ms
Sovereign EU Cluster
33% · $2,232/mo · 48ms
Research Supercomputing
32% · $1,008/mo · 65ms
#1 · private ai
Private AI Datacenter
Tier-1 colocation partner
Fit score
89/100
Primary
Cost76
Latency88
Energy71
Sovereignty70
Risk-adjusted100
Availability74
Allocation
35%
Est. monthly
$1,368
Median latency
22ms
Why it ranked here
- Strong unit economics at ~$1.90/GPU-hr.
- Median latency near 22ms suits this workload.
- Operationally mature with 95% reliability history.
- Pool is purpose-fit for training workloads.
#2 · sovereign
Sovereign EU Cluster
EU-only operator consortium
Fit score
86/100
Cost56
Latency74
Energy88
Sovereignty90
Risk-adjusted100
Availability67
Allocation
33%
Est. monthly
$2,232
Median latency
48ms
Why it ranked here
- Median latency near 48ms suits this workload.
- 88% clean energy mix.
- Meets restricted data requirements with margin.
- Operationally mature with 93% reliability history.
#3 · research hpc
Research Supercomputing
National lab partner pool
Fit score
82/100
Cost83
Latency64
Energy79
Sovereignty80
Risk-adjusted90
Availability42
Allocation
32%
Est. monthly
$1,008
Median latency
65ms
Why it ranked here
- Strong unit economics at ~$1.40/GPU-hr.
- Meets restricted data requirements with margin.
- Operationally mature with 90% reliability history.
- Pool is purpose-fit for training workloads.
Want this routed automatically as soon as new capacity comes online?
Set up auto-routing