Pricing

Cloud infrastructure auctioned in an open market.Delivered as turnkey, fully managed Kubernetes clusters.

Bid from$0.01/hr

Our pricing philosophy

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Dynamic Market Pricing

Compute is priced based on an open market auction, set by the lowest bid that can be fulfilled by available capacity.

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Simple Add-on Pricing

Add-ons such as persistent volumes, load balancers, and high-availability control planes are priced with a simple, predictable model.

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Usage-Based Billing

All resources are billed to the second, based on actual usage during a month. You only pay for what you use.

Compute pricing

Spot market and On-Demand hourly rates for every server class, in every region.

General Purpose

Balanced compute, memory, and networking for most workloads
Server classvCPUMemoryOn-Demand $/hrSpot $/hr
US Central, Chicago
gp.vs1.medium24 GB$0.023$0.01
gp.vs1.large416 GB$0.081$0.01
gp.vs1.xlarge832 GB$0.167$0.01
gp.vs1.2xlarge1664 GB$0.336$0.01
US Central, Dallas (Cost Optimized)
gp.vs1.medium24 GB$0.023$0.01
gp.vs1.large416 GB$0.08$0.01
gp.vs1.xlarge832 GB$0.162$0.01
gp.vs1.2xlarge1664 GB$0.323$0.01
US Central, Dallas (Performance Optimized)
gp.vs2.medium24 GB$0.04$0.01
gp.vs2.large416 GB$0.09$0.04
gp.vs2.xlarge832 GB$0.17$0.08
gp.vs2.2xlarge1664 GB$0.34$0.15
US East, N. Virginia (Cost Optimized)
gp.vs1.medium24 GB$0.019$0.01
gp.vs1.large416 GB$0.075$0.01
gp.vs1.xlarge832 GB$0.152$0.01
gp.vs1.2xlarge1664 GB$0.304$0.01
US East, N. Virginia (Performance Optimized)
gp.vs2.medium24 GB$0.05$0.01
gp.vs2.large416 GB$0.09$0.04
gp.vs2.xlarge832 GB$0.18$0.08
gp.vs2.2xlarge1664 GB$0.35$0.15
US West, San Jose
gp.vs2.medium24 GB$0.05$0.01
gp.vs2.large416 GB$0.09$0.04
gp.vs2.xlarge832 GB$0.18$0.08
gp.vs2.2xlarge1664 GB$0.35$0.15
Hong Kong
gp.vs1.medium24 GB$0.025$0.01
gp.vs1.large416 GB$0.085$0.01
gp.vs1.xlarge832 GB$0.178$0.01
gp.vs1.2xlarge1664 GB$0.339$0.01
London, UK
gp.vs1.medium24 GB$0.021$0.01
gp.vs1.large416 GB$0.072$0.02
gp.vs1.xlarge832 GB$0.154$0.02
gp.vs1.2xlarge1664 GB$0.289$0.041
Sydney, Australia
gp.vs1.medium24 GB$0.022$0.01
gp.vs1.large416 GB$0.081$0.01
gp.vs1.xlarge832 GB$0.188$0.01
gp.vs1.2xlarge1664 GB$0.319$0.01

Compute Heavy

High-performance processors for compute-intensive applications
Server classvCPUMemoryOn-Demand $/hrSpot $/hr
US Central, Chicago
ch.vs1.medium24 GB$0.037$0.01
ch.vs1.large48 GB$0.071$0.01
ch.vs1.xlarge816 GB$0.145$0.01
ch.vs1.2xlarge1632 GB$0.277$0.01
US Central, Dallas (Cost Optimized)
ch.vs1.medium24 GB$0.036$0.01
ch.vs1.large48 GB$0.068$0.01
ch.vs1.xlarge816 GB$0.142$0.01
ch.vs1.2xlarge1632 GB$0.275$0.01
US Central, Dallas (Performance Optimized)
ch.vs2.medium24 GB$0.03$0.01
ch.vs2.large48 GB$0.06$0.03
ch.vs2.xlarge816 GB$0.13$0.06
US East, N. Virginia (Cost Optimized)
ch.vs1.medium24 GB$0.036$0.01
ch.vs1.large48 GB$0.067$0.01
ch.vs1.xlarge816 GB$0.136$0.01
ch.vs1.2xlarge1632 GB$0.261$0.01
US East, N. Virginia (Performance Optimized)
ch.vs2.medium24 GB$0.04$0.01
ch.vs2.large48 GB$0.07$0.03
ch.vs2.xlarge816 GB$0.13$0.06
US West, San Jose
ch.vs2.medium24 GB$0.04$0.01
ch.vs2.large48 GB$0.07$0.03
ch.vs2.xlarge816 GB$0.13$0.06
Hong Kong
ch.vs1.medium24 GB$0.035$0.01
ch.vs1.large48 GB$0.068$0.01
ch.vs1.xlarge816 GB$0.144$0.01
ch.vs1.2xlarge1632 GB$0.27$0.01
London, UK
ch.vs1.medium24 GB$0.032$0.01
ch.vs1.large48 GB$0.063$0.01
ch.vs1.xlarge816 GB$0.128$0.01
ch.vs1.2xlarge1632 GB$0.259$0.01
Sydney, Australia
ch.vs1.medium24 GB$0.037$0.01
ch.vs1.large48 GB$0.075$0.01
ch.vs1.xlarge816 GB$0.16$0.01
ch.vs1.2xlarge1632 GB$0.292$0.01

Memory Heavy

High memory-to-vCPU ratio for memory-intensive workloads
Server classvCPUMemoryOn-Demand $/hrSpot $/hr
US Central, Chicago
mh.vs1.medium216 GB$0.062$0.01
mh.vs1.large432 GB$0.121$0.01
mh.vs1.xlarge864 GB$0.238$0.01
mh.vs1.2xlarge16128 GB$0.464$0.02
US Central, Dallas (Cost Optimized)
mh.vs1.medium216 GB$0.058$0.01
mh.vs1.large432 GB$0.119$0.01
mh.vs1.xlarge864 GB$0.235$0.01
mh.vs1.2xlarge16128 GB$0.463$0.08
US Central, Dallas (Performance Optimized)
mh.vs2.medium216 GB$0.06$0.03
mh.vs2.large432 GB$0.11$0.06
mh.vs2.xlarge864 GB$0.22$0.12
US East, N. Virginia (Cost Optimized)
mh.vs1.medium216 GB$0.053$0.01
mh.vs1.large432 GB$0.107$0.01
mh.vs1.xlarge864 GB$0.217$0.01
mh.vs1.2xlarge16128 GB$0.431$0.02
US West, San Jose
mh.vs2.medium216 GB$0.06$0.03
mh.vs2.large432 GB$0.11$0.06
mh.vs2.xlarge864 GB$0.22$0.12
Hong Kong
mh.vs1.medium216 GB$0.061$0.01
mh.vs1.large432 GB$0.132$0.01
mh.vs1.xlarge864 GB$0.242$0.01
mh.vs1.2xlarge16128 GB$0.494$0.02
London, UK
mh.vs1.medium216 GB$0.051$0.01
mh.vs1.large432 GB$0.107$0.01
mh.vs1.xlarge864 GB$0.218$0.04
mh.vs1.2xlarge16128 GB$0.42$0.02
Sydney, Australia
mh.vs1.medium216 GB$0.064$0.01
mh.vs1.large432 GB$0.121$0.01
mh.vs1.xlarge864 GB$0.254$0.01
mh.vs1.2xlarge16128 GB$0.491$0.02

GPU

NEW
GPU-accelerated instances for AI, ML, and high-performance computing
Server classvCPUMemoryOn-Demand $/hrSpot $/hr
US West, San Jose
gpu.vs2.xlargeplusplus2464 GB$7.25$0.15

Add-ons & billing

ResourcePrice
Persistent Volumes (SATA)$0.02 / GB-mo
Persistent Volumes (SSD)$0.06 / GB-mo
Load Balancers$10 / mo
HA Control Plane$40 / mo
Included free
Control PlaneFree
Bandwidth - IngressFree
Bandwidth - Cross-regionFree
Bandwidth - Egress100 GB-mo included per GB RAMAdditional Egress: $0.01/GB

Estimate your monthly cost

Estimated monthly cost≈ $14.60
Deploy this configuration

Frequently asked

How does market pricing work?

Spare capacity is sold at auction. You set a maximum bid; while the market price stays at or below it, your node runs and you pay the market rate — not your bid.

What is the difference between Spot and On-Demand?

Spot prices float with the market and can be reclaimed when you're outbid. On-Demand is a fixed rate that isn't subject to interruption. Both are shown per region above.

What happens when I'm outbid?

The node is reclaimed. Design for interruption — checkpoints, replicas and graceful shutdown — to run production workloads on Spot safely.

How is egress charged?

Each cluster gets a free allowance of (average GB of RAM) × 100 GB per month. Beyond that, egress is $0.01/GB. Ingress and cross-region traffic are free.

Pay only for what you use, with transparent pricing and no hidden fees.

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