The Platform Powering 100K+ GPUs and 1M+ CPUs in Production and Counting

‹45
Days from decision to production launch

0
New platform engineering hires required

1
Unified Kubernetes platform for every tenant

Serverless
Kubernetes on bare metal

100K
GPUs planned for AI supercluster infrastructure

2
Minutes to provision a customer-ready AI cluster

1
Kubernetes substrate for multi-tenant workloads

100%
Data residency enforced at the infra layer

170+
Virtual clusters in prod

60+
GPUs in 12 months

90
Days to go live

24/7
Operations

1 Min
To spin up isolated K8s environments

99%
Reduction in “real” Kubernetes clusters

$600k
Reduction in Kubernetes spend

195
VMs eliminated

1K+
CPU cores saved

1TB
Memory saved

$0
VMware licensing costs

10x
Developer Productivity

1
Virtual Cluster Per Pull Request

99%
Faster customer deployment time

50%
Reduction in idle time costs

20%
Reduction in hosting costs

99.99%
Uptime achieved

50%
Estimated reduction in K8s ops cost

50%
Estimated reduction in env setup cost

70%
Reduction in Kubernetes cost

$6M+
In projected annual savings

200
Pre-prod clusters optimized

256
GPUs in production

32
Node dedicated tenant cluster

75%
Faster environment provisioning

$90k
Reduction in engineering cost per year

800+
QA hours saved per year

60%
Reduction in node usage

150+
production virtual clusters powering enterprise workloads

TBs
of data processed daily with AI decision intelligence

$MM
in ARR dependent on reliable opeartions