Command Center
The control room for global compute
A live snapshot of the compute fabric ComputeFlow is routing across. Capacity, latency, clean-energy mix, and live workloads — in one place.
Simulated capacity
48.6 EFLOPs
Across 7 pools · MVP model
Active routing plans
142
Across 31 customer workloads
Avg. cost savings
34%
vs. single-vendor baseline
Clean-energy routed
71%
Weighted across all workloads
Global compute pools
Live simulated stateHyperscale Cloud GPU
public cloud · us-east
Avail
88%
Latency
38ms
Clean
64%
$/h
$2.60
Private AI Datacenter
private ai · us-west
Avail
74%
Latency
22ms
Clean
71%
$/h
$1.90
Sovereign EU Cluster
sovereign · eu
Avail
67%
Latency
48ms
Clean
88%
$/h
$3.10
Edge Robotics Mesh
edge robotics · global
Avail
71%
Latency
6ms
Clean
58%
$/h
$3.40
Research Supercomputing
research hpc · global
Avail
42%
Latency
65ms
Clean
79%
$/h
$1.40
Orbital Compute Node
orbital · orbital
Avail
28%
Latency
180ms
Clean
99%
$/h
$5.20
Terafab-Scale Supplier Pool
terafab scale · global
Avail
18%
Latency
30ms
Clean
76%
$/h
$1.10
Workload queue
6 live- Frontier-7B finetunetraining · Private AI Datacenterrunning4h 12m
- Realtime customer copilotinference · Hyperscale Cloud GPUrunningalways-on
- EU patient triage modeltraining · Sovereign EU Clusterqueuedbegins 02:10 UTC
- Factory fleet motion plannerrobotics · Edge Robotics Meshrunningrolling
- Materials sim sweepsimulation · Research Supercomputingqueued08:00 UTC
- Nightly embedding refreshbatch · Orbital Compute Nodeforwardnext pass
Global routing fabric
schematicHyperscale Cloud GPU
Private AI Datacenter
Sovereign EU Cluster
Edge Robotics Mesh
Research Supercomputing
Orbital Compute Node
Terafab-Scale Supplier Pool