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Deploy AI ComputeWithout Compromise

On-demand NVIDIA GPUs for training and inference

brew install manifold-inc/tap/targon

GPU pricing

Secure compute

On-demand GPUs for Training & InferenceSandboxes for Code and Agents

  • Virtual Machines

    On-demand GPU and CPU VMs with access over SSH. Up to eight GPUs per VM.

  • Bare Metal

    Servers with nothing between you and the hardware.

  • Sandboxes

    Isolated environments for running code and agents.

  • Reserved Capacity

    Reserve GPUs for a fixed term, arranged with our team.

Fig.1 Live pricing

Confidential computing

Confidential VMs on Intel TDXData Protected While in Use

  • Hardware-isolated trust domains

    Confidential TVM VMs run inside Intel TDX trust domains, designed to keep the host OS and hypervisor out of your VM's memory.

  • Attestation

    A VM's disk key is released only after its Intel TDX measurements match expected values. If attestation fails, the disk stays encrypted.

  • Encrypted in use

    Memory is encrypted with keys managed by the CPU, and NVIDIA Confidential Computing encrypts transfers between the VM and supported GPUs.

Boot-time Attestation

  1. 1Measure boot
  2. 2Verify TDX quote
  3. 3Release disk key
Inside a Confidential TVM VM

Fig.2 Trust boundary

HostOutside the trust boundary

  • Host OS
  • Hypervisor
  • Machine owner

Trust DomainIntel TDX

  • Your code
  • Model weights
  • Datasets

GPUNVIDIA

Encrypted transfers

Available on TVM virtual machines running on supported Intel TDX and NVIDIA Confidential Computing hardware. Bare metal servers are not confidential.

Developers

CLI & SDKs for DevelopersAutomate GPUs from Terminal to CI

  • API keys

    Create an API key in the console, then sign in to the CLI or SDK with it.

  • Service tokens

    Organization-owned tokens for CI/CD, so pipelines don't depend on a teammate's personal key.

  • SSH keys

    Register your public keys once and attach them when you create a VM.

Fig.3 Quickstart

Start Building on Targon

Deploy a GPU from the console or the CLI, or talk to our team about reserved capacity.