Dedicated
Dedicated CPU resources for consistent performance.
Best for: Databases, high-traffic production, heavy processing
Dedicated CPU resources for consistent performance.
Best for: Databases, high-traffic production, heavy processing
Shared CPU resources at a lower entry price.
Best for: Sites, APIs, staging, variable loads
Billed by the hour, with a monthly estimate before you confirm.
Included traffic on every plan, from 2 TB to 60 TB/month by size.
Every instance gets both.
Attach an existing LAN and ruleset, or create them in the wizard.
Scheduled backup at a flat fee per schedule plus a per-GB rate on what it stores.
Start, stop, and watch cost and state in the instance list.
Start with Miami (US1). Pick the datacenter for your workload.
CPU family, plan, network, and security group: cost updates as you go.
Choose OS and storage. Confirm and deploy.
Optidata Cloud Compute runs virtual machines in Miami (US1), billed by the hour. Balanced (Intel) plans start at $18.25/month ($0.025/hour) for 2 vCPU, 4 GB RAM and 2 TB of outbound traffic; Dedicated (AMD) plans start at $51.10/month for 2 vCPU and 8 GB, up to 64 vCPU. Prices as of Oct 6, 2026, Miami (US1), USD.
Balanced (Intel) plans go from $18.25/month (2 vCPU, 4 GB RAM, 2 TB outbound) to 24 vCPU. Dedicated (AMD) plans go from $51.10/month (2 vCPU, 8 GB RAM, 3 TB outbound) to 64 vCPU. Billing is hourly; monthly figures assume 730 hours. Prices as of Oct 6, 2026, Miami (US1), USD.
Dedicated (AMD) reserves CPU resources for consistent performance: databases, high-traffic production, heavy processing. Balanced (Intel) shares CPU resources at a lower entry price: sites, APIs, staging and variable loads.
Self-serve Cloud Compute runs in Miami, Florida (region US1). Dedicated environments in Brazil and the United States are available through Private Cloud.
A public and a private IP and an outbound traffic allowance from 2 TB to 60 TB a month by plan. Traffic past the allowance costs $0.01 per GB. Linux images have no license fee; Windows Server adds $32.00/month per 2 vCPU.
Full-stack AI Cloud: Compute, storage, databases, containers, networking, AI inference, backup, recovery and security, all under a single operating model.
Compute for general workloads, accelerated AI, containers, and dedicated resources.
Instances go live in minutes, with high performance and hourly pricing.
GPU instances with full root access, for training and AI inference platform for specific needs.
Run clustered kubernetes containers with security, performance and high availability platform.
MySQL, PostgreSQL, and MongoDB from the console, with replicas, scheduled backups, and a private network by default.
Dedicated resources for specific needs.
Persistent volumes, object storage, backup and recovery.
High-performance NVMe volumes you attach and expand as your data grows.
S3-compatible buckets for media, backups, and datasets.
Automated backups on a schedule, billed per schedule plus the GB they store.
On-demand point-in-time images before upgrades and risky deploys.
Private connectivity, stable addressing, traffic control, and name resolution.
Private networks with high performance 10 Gbps and 100 Gbps bandwidth.
Reserved public IPv4 and IPv6 that stay with you even when instances change.
Platform firewalls with ingress and egress rules across your fleet.
Domains and records managed alongside your instances, load balancers, and reserved IPs.
Distribute traffic across backends, with health checks and TLS termination.
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