Virtual machines.
On-demand and reserved VMs across CPU and GPU shapes, with per-second billing and live resize.
Spin up isolated virtual machines in seconds across general-purpose, compute-, memory- and GPU-optimized families. You get the control of dedicated infrastructure with the elasticity of cloud — and none of the procurement.
- Category
- Compute
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Choose a CPU, memory or GPU family and size; provision via console, API or IaC in seconds.
Launch from a golden image or marketplace image with cloud-init, into your private network.
Snapshot, autoscale and resize live; metrics and logs flow to observability automatically.
Virtual machines, in full.
Dozens of CPU and GPU families, resizable live without a rebuild or redeploy.
Pay for exactly the runtime you use, with committed-use discounts for steady workloads.
Golden images, automated snapshots and point-in-time restore for reproducible provisioning.
Private networking, disk encryption and IAM-scoped access on every instance.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision virtual machines on Aether Cloud
aether compute create \
--service virtual-machines \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Families
- General · compute · memory · GPU
- Billing
- Per-second, with committed-use discounts
- Max vCPUs
- Up to 192 per instance
- Live resize
- Yes, without rebuild
- SLA
- 99.99% (multi-AZ)
Built for real work.
Lift-and-shift existing servers
On-demand dev and test environments
GPU workstations for model work
On one model, not stitched together.
The usual stack runs virtual machines in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — virtual machines sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your virtual machines — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
Yes — import custom images or build golden images in the registry and launch from them.
Per-second of runtime, with reserved and committed-use discounts for steady workloads.
Every VM runs in your private virtual network with disk encryption and IAM-scoped access by default.
Your boundary, your choice.
Pairs well with.
Latest-generation accelerators by the hour or the cluster, with fast interconnect for training and high-throughput inference.
Event-driven functions that scale to zero — run code and agents without managing a server.
Managed container runtime with autoscaling, health checks and rolling deploys — bring an image, get a URL.
A conformant, managed control plane with GPU scheduling, autoscaling node pools and zero-downtime upgrades.
Massively parallel batch and simulation jobs with scheduling, checkpointing and fault tolerance built in.
Dedicated single-tenant hardware for the workloads that need full control of the silicon.
Run Virtual machines on Aether Cloud.
On-demand and reserved VMs across CPU and GPU shapes, with per-second billing and live resize. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.