PIXELD · ELASTIC ACCELERATED COMPUTE

GPU power when you need it. Desktop optional.

Use GPU capacity behind a PixelD Workstation or consume accelerated compute directly for training, inference, rendering, simulation and vision jobs.

PixelD ComputeGPU CLOUDAIOTOR Enterprise Fabric
PIXELDGPU CLOUDGPU cloud and accelerated compute

HOW IT FITS

A simple user experience over controlled compute.

PixelD keeps infrastructure detail behind the product experience. Users and applications enter through the mode that fits the job, while compute and data remain managed behind it.

Desktop / app / jobDesktop / app / job
→
PixelD GPU CloudPixelD GPU Cloud
→
RunRun · scale · stop
→
Results + governed dataResults + governed data

CAPABILITIES

Designed around the workload, not infrastructure complexity.

Use GPU capacity behind a PixelD Workstation or consume accelerated compute directly for training, inference, rendering, simulation and vision jobs.

01

Interactive mode

Attach accelerated capacity to PixelD GPU or Research Workstations for desktop applications.

02

Headless mode

Run approved training, inference, render, simulation or vision jobs without launching a persistent desktop.

03

Elastic consumption

Use accelerated capacity on demand or through reserved capacity models.

04

Enterprise deployment

Design private, hybrid or managed accelerator pools around organizational workload and data requirements.

AI trainingAI inferenceRenderingSimulationComputer visionResearch jobs

PIXELD PRODUCT FAMILY

Choose the experience first. Scale compute behind it.

Use the same PixelD platform across everyday desktops, accelerated workstations, research environments, elastic GPU jobs and dedicated endpoints.

PIXELD

One compute platform — from endpoint to GPU cloud.