VPS for AI, RAG and APIs from $9.99

NVMe servers for small models, vector search and background jobs.

Compare Plans

When a CPU VPS fits an AI workload

  • Virtual servers for prototypes, RAG systems, APIs, inference and data processing.
  • NVMe storage for indexes, caches and local datasets.
  • A clear path from a test environment to a larger VPS or dedicated server.

Use these plans for compact models and supporting services. Training large models or running CUDA-dependent inference requires GPU infrastructure instead.

Current configurations, prices and available billing periods are shown on the order page. Contact HSTQ if you need a custom configuration.
View AI/ML VPS plans

VPS/VDS plans

Prices are shown per month. A typical configuration is usually provisioned automatically after payment; location availability is confirmed during ordering.

  • CPU
  • RAM
  • Storage
  • Port
  • Location
  • Availability
  • Provisioning
  • Price/mo
  • 2 vCPU
  • 2 GB DDR4
  • 40 GB NVMe
  • 10 Gb/s
  • Available
  • 2–12 h
  • $9.99/mo
  • Order
  • 4 vCPU
  • 6 GB DDR4
  • 80 GB NVMe
  • 10 Gb/s
  • Available
  • 2–12 h
  • $19.99/mo
  • Order
  • 8 vCPU
  • 12 GB DDR4
  • 160 GB NVMe
  • 10 Gb/s
  • Available
  • 2–12 h
  • $39.99/mo
  • Order
  • 12 vCPU
  • 24 GB DDR4
  • 320 GB NVMe
  • 10 Gb/s
  • Available
  • 2–12 h
  • $59.99/mo
  • Order

What matters for AI/ML services

  • CPU inference for small models & embeddings
  • NVMe storage for queues, indexes and APIs
  • IPv4 options are available separately when needed
  • Docker/Compose and systemd supported
  • Protection options depend on location and traffic profile
  • Refunds for a first VPS order follow the public offer
  • Available billing periods and optional services are shown during checkout.

Plan fit and service scope

What the VPS provides and which application tasks require a separate management scope

CPU inference

CPU VPS plans are suitable for compact models, embeddings, classifiers and the application services around a RAG system. Actual latency and throughput depend on the model, concurrency and software configuration. Run a representative benchmark before selecting a production plan.

Containers & environment

You can run Docker/Compose, systemd and other software permitted by the Acceptable Use Policy. Image preparation, reverse-proxy configuration, TLS setup, monitoring and deployment automation can be added under a management plan or a separately agreed task.

Network & integrations

Network connectivity and available locations are shown in the plan table. Additional IPv4 space, rDNS, private tunnels and protection profiles require separate confirmation. Test latency from the regions and external services that matter to your application.

Data & storage

NVMe storage is a practical fit for indexes, caches and local datasets. Backups, application encryption and database tuning are not implied by the VPS rental; configure them yourself or request a defined management scope. Migration options and expected downtime depend on the storage layout and destination plan.

DDoS & reliability

Protection availability and limits depend on the selected location and traffic profile. Application rate limits, queues, health checks and retry logic remain part of your software configuration unless they are included in an agreed management task.

Scaling & queues

Separating synchronous APIs from background workers can make scaling easier. Multiple VPS, load balancing, release automation and alerting are optional architecture and administration tasks, not features automatically included with a VPS plan.

Frequently asked questions

Compact models, embeddings and many classic algorithms can run on CPU, but performance depends on the model and concurrency. These plans do not include a GPU.

Docker/Compose and systemd can run on the VPS. Image preparation, proxy and TLS configuration, and process supervision are self-managed unless included in an agreed management task.

Available locations are shown during ordering. Choose a location after testing latency to your users and external services; no location guarantees a specific response time.

Additional IPv4 space and rDNS are available separately, subject to location, intended use and resource availability.

Network-protection options depend on location and traffic profile. Application-layer controls such as rate limits and connection caps must be configured separately.

Yes. Verification may be requested based on the selected service, payment method, intended use and fraud, abuse-prevention or legal checks. Any required information is confirmed before activation.

How to launch an AI service on a CPU VPS

  1. Choose CPU, RAM, NVMe storage and a location for the test workload.
  2. Deploy the image and configure TLS, logs and backups.
  3. Run a load test and measure latency.
  4. Increase VPS resources or move to a GPU server when compute demand grows.

Share the model, index size, expected RPS and external dependencies. We will help select the infrastructure configuration; application setup is quoted separately.

Choose a Configuration