Arbiter Cloud
[ System Logs ]
Active Nodes: 8,402
Wasted Cycles: 72.4%
Status: CRITICAL THERMALS
ARBITER
Shadow mode · 14,892 GPU-jobs analysed today

The decision engine for your infrastructure. 

Reduce GPU inference and training costs automatically across models, regions, and providers. Arbiter is FinOps-first for GPU workloads, with carbon as a built-in second axis.

[ optimises ]
  • hardware
  • region
  • timing
  • precision
[ balances ]
  • cost
  • carbon
  • latency
  • SLA
GPU cost reduction
≥30% vs. naive default
CO₂e per workload
≥20% lower
Predicted vs. actual
<15% variance
Python SDK · CLI · GitHub Action · Kubeflow / Airflow operators. K for the playground.
§ orchestrator · realtime · evaluating · — — : — — : — —

Workloads continuously rerouted across providers, regions, and hardware.

incoming workload
job inference-job-421
modelllama-3.1-70b-instruct
classlatency-critical inference
tokens2.41M
residencyeu · soft
received · awaiting decision
evaluation
  • 01provider
  • 02region
  • 03latency
  • 04carbon
  • 05precision
  • 06cost
candidate routes
ingress Lambda sfo · h100 CoreWeave fra · h100 AWS iad · a100 Azure dub · a100
decision
— —
awaiting
savings vs naive
$0
0.0% · per-job
latency p99
ms
carbon score
gCO₂e
provider utilisation
lambda18
coreweave62
aws41
azure27

Run shadow mode.
See the number before you commit.

Arbiter observes your real GPU workloads and generates the recommendations it would have made — with no configuration risk. Designed for serious systems and the operators who run them.

FinOps-first for GPU/ CDP · TCFD · EU CSRD-aligned/ shadow → autonomous/ SOC 2 (in progress)
© 2026 AMEARF Inc. · parent of Arbiter · 47.514°N, −122.196°E builds: 7c4f1ae · region: eu-west-2 · gCO₂/req: 0.018