TrndX SDC (Specialized Data Center) — an open platform without public-cloud restrictions, built for engineers, DevOps and AI engineers. Come experiment with us and experience production quality with complete freedom.

Available now Tier-IV Partnered data center

Next-generation AI infrastructure.
Reclaim control of your resources.

TrndX SDC gives your team accelerated compute of its own. Take it as bare metal and run your own stack, or with AI Cloud orchestrating the whole deployment for you.

Built for where you are now

  • Application teams: Launch a notebook or inference endpoint in minutes, with no underlying infrastructure to manage.
  • ML engineers: Run on dedicated hardware with your own stack, on a platform that stays out of your way.
  • Educators: Give every student a managed environment, while advanced learners build and configure clusters hands-on.
  • Growing teams: Move between levels as your workload evolves, without changing platforms.

Our developer relations team will work with you to find the right setup for your workload and operating preferences.

Start now

Offerings

Your infrastructure. Your way.

Run dedicated GPUs with your own stack, or use our AI Cloud to manage the deployment for you.

Currency:

Option 1

Self-managed

Bare metal GPUs

You bring the stack

Starting from

$1,336 /GPU-month*

*Exclusive of taxes.

GPU nodes handed to you at the operating system. Bring your own scheduler, images and pipeline.

  • Root access, your own stack
  • Predictable network performance
  • Bare-metal managed services included

Option 2

Fully managed

AI Cloud

We run the stack for you

Starting from

$1,453 /GPU-month*

*Exclusive of taxes.

The same GPUs with our AI Platform, delivered through one console.

  • Notebooks, pipelines and model serving included
  • Integrated Hugging Face models for direct deployment
  • Faster token per second processing on a 120B parameter model compared to inference performance benchmarks.

GPUs, traditional compute and storage, dynamically configured into right-sized VMs for every workload.

Get started

AI Cloud

One future-ready console for your entire deployment.

AI/ML Workbench & Kubeflow Capabilities included:

Unified platform

  • Notebooks
  • Model serving
  • Tuning & training
  • Observability & monitoring
  • Cluster management

Full lifecycle coverage

  • Data preparation
  • Model registry
  • Central dashboard
  • Model inference
  • AI applications

Pipelines & composable components

  • Integrated pipelines for orchestration
  • Workflows
  • Schedules
  • Artifact storage
  • Recurring pipeline runs

Services & configurations

Find the precise AI infrastructure to power your workloads.

Start from a configuration that already works, or from your workload.

Start from a configuration

Ready-to-deploy options

Proven NVIDIA H100 SXM configurations for workloads you already understand.

ConfigurationvCPUSystem RAMLocal NVMe
1 GPU 16256 GB750 GB
2 GPUs 32512 GB1.5 TB
4 GPUs 641 TB3 TB
8 GPUs 1282 TB6 TB

Additional CPU compute, memory and storage available on request. Every deployment follows the same three steps.

Start from your workload

Tell us what you're running

For workloads that are large, unusual, or still taking shape. Our engineers size and design the deployment with you.

From first call to production

  • 1
    Assess A deployment designed around your workload, not a fixed catalog.
  • 2
    Proof of concept No cost One week of unlimited GPU usage on your real workloads.
  • 3
    Go live Managed deployment with zero disruption.
Add managed services

Extend either option with specialized managed services

Reduce operational burden, improve performance efficiency, and scale as your business grows.

Advanced observability
AI workload performance
Managed security operations
Backup & disaster recovery
Technical advisory

Contact us

Tell us what you need.

What happens next

We reply within one working day and set up a 30-minute call on your requirement. If it’s a fit, we open a proof of concept on live capacity.

Request sent!

We’ll be in touch within one working day at .