v-sigma — the control plane for GPU as a Service
WorkloadsTrainingmulti-node runsInferenceserved endpointsAgentson-demand burstsFine-tuningshort-lived jobsNotebooksinteractive work
v-sigmaKubernetes-native
The Control Plane for GPUaaS
Hyperscalers— high availability overall
3
moderate availability
AWS
24 regions
$5.20
response time 27ms
moderate availability
Google Cloud
28 regions
$5.19
response time 37ms
high availability
Azure
32 regions
$4.74
response time 36ms
Neoclouds— high availability overall
6
high availability
CoreWeave
12 regions
$3.59
response time 55ms
high availability
Lambda
6 regions
$3.17
response time 74ms
high availability
Nebius
5 regions
$3.07
response time 67ms
high availability
Together AI
7 regions
$3.65
response time 62ms
moderate availability
RunPod
14 regions
$3.08
response time 73ms
high availability
Modal
8 regions
$3.90
response time 37ms
Your infrastructure— high availability overall
4
high availability
On-prem
high availability
Kubernetes
high availability
Slurm
high availability
Others
Availabilityhighmoderatelow
Features
Kubernetes Native
Annotations only for integration. The same Kubernetes experience as before.
One API, Run Everywhere
Hyperscalers, neoclouds and self-managed hardware behind a single interface.
Open Source
Built on Nebula, licensed Apache-2.0. Public, and open to contribution.