GPU & AI Cloud Service

From GPU Capacity to Running AI.

Telox brings together GPU infrastructure, cloud operations and AI model platforms in a managed environment—so teams can focus on training, deploying and operating AI instead of assembling the stack themselves.

Telox is Thaki Cloud's GPU & AI Cloud Service. It combines GPU compute with the software and platform capabilities used to operate AI models and workloads, so teams do not assemble every layer themselves.

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Integrated AI CloudModel OperationsManaged Platform
Beyond a GPU instance

A GPU instance is where the work begins.

Running AI means the layers around the GPU as well. Telox is designed to connect them in one environment.

GPU capacity
Container platform
Model serving
Monitoring and access
Governance

Integrating it yourself

Each layer is selected, connected and operated by your team.

GPU capacity
Container platform
Model serving
Monitoring and access
Governance

With Telox

Compute, model operations and governance in a more cohesive environment, reducing the integration work between GPU provisioning and real AI workloads.

What it brings together

One environment, three foundations.

01

GPU capacity

Accelerated compute for training and serving, operated with a cloud-style model.

Velox
02

Model operations

Designed around Metis for serving, managing and running models as part of the same environment.

Metis
03

Operations and governance

Signum-based control for access, oversight and day-to-day operations, on Aegis platform infrastructure.

Signum · Aegis
How teams use it

What teams do with Telox.

Train and fine-tune

Develop and adapt models on GPU capacity connected to the rest of the environment.

Serve models to applications

Put models into use for the applications and teams that depend on them.

Run several AI workloads

Manage multiple models and projects in one environment rather than in separate stacks.

Operate with oversight

Bring access, monitoring and governance into day-to-day AI operations.

The platform view

From provisioning to governance, in one flow.

  1. 01

    Provision

    Establish GPU capacity for the workload.

  2. 02

    Run

    Train and fine-tune on the capacity you have.

  3. 03

    Serve

    Make models available to applications and users.

  4. 04

    Govern

    Manage access and oversight across the environment.

Only need dedicated infrastructure?Velox provides dedicated bare-metal GPU capacity, and you bring the software stack.Explore Velox

Plan the AI environment, not just the GPU allocation.

We will look at the workload first, then shape the environment around it.

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  • Workload and model requirements
  • Platform and system integrations
  • Accelerator options
  • Support model
  • Commercial terms