Option 1
Self-managedBare metal GPUs
We bring the infra. You bring the stack.
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.
Option 1
Self-managedWe bring the infra. You bring the stack.
Option 2
Fully managedWe run the stack for you
Services & configurations
Start from a configuration that already works, or from your workload.
Proven NVIDIA H100 SXM configurations for workloads you already understand.
| Configuration | vCPU | System RAM | Local NVMe |
|---|---|---|---|
| 1 GPU | 16 | 256 GB | 750 GB |
| 2 GPUs | 32 | 512 GB | 1.5 TB |
| 4 GPUs | 64 | 1 TB | 3 TB |
| 8 GPUs | 128 | 2 TB | 6 TB |
*Additional CPU compute, memory and storage available on request. Every deployment follows the same three steps.
For workloads that are large, unusual, or still taking shape. Our engineers size and design the deployment with you.
From first call to production
Reduce operational burden, improve performance efficiency, and scale as your business grows.
AI Cloud
AI/ML Workbench & Kubeflow Capabilities included:
Who we serve
We meet every team where they are — from a first notebook to a fleet you configure yourself, on the same dedicated GPUs.
Launch a notebook or inference endpoint in minutes, with no underlying infrastructure to manage.
Run on dedicated hardware with your own stack, on a platform that stays out of your way.
Give every student a managed environment, while advanced learners build and configure clusters hands-on.
Move between levels as your workload evolves, without changing platforms.
Contact us
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.
We’ll be in touch within one working day at .