Isaac Sim and ROS need a CUDA GPU and a brittle driver-and-toolchain setup — and a capable local rig runs into the thousands.
Launch Isaac Sim in under 2 minutes *Subject to availability of pre-warmed nodes.
University robotics labs, industrial automation, autonomous vehicles
A heavy Blender render crawls on a laptop, and a workstation that keeps up — an RTX PRO 6000 Blackwell rig — runs $15K+.
Open Blender, FreeCAD, or OpenSCAD in the browser on up to 32 vCPU and a GPU — model and render from anything, even a Chromebook.
Industrial designers, architects, freelance 3D artists
Shared HPC queues mean waiting hours for a slot. A local GPU server costs $50K+.
A dedicated CPU or GPU instance, pre-configured for GROMACS, AMBER, or RELION — no shared queue, ready in minutes.
Computational chemists, bioinformaticians, climate scientists, academic researchers
Reproducing a bug or testing a build on a GPU means provisioning a VM, installing drivers, then tearing it all down.
A disposable GPU dev box in the browser — VS Code, a terminal, full control — up in minutes, gone when you're done.
DevOps engineers, SREs, platform teams
GPU imaging tools like 3D Slicer or MONAI are pinned to one powerful workstation in one lab.
Run 3D Slicer, MONAI, or napari on a GPU from any device — 3D rendering and segmentation in the browser, no install.
Medical imaging researchers, radiology teams, healthcare IT
Getting a notebook onto a cloud GPU means quota requests, instance setup, and CUDA versioning.
Ask for a PyTorch or JAX notebook on a GPU and it's ready in minutes — no setup, billed by the minute.
ML engineers, data scientists, AI researchers
Engine builds, renders, and compositing need beefy local machines. Collaboration means shipping drives.
Cloud-rendered, browser-streamed. Edit and build from anywhere. Share a session with a link.
Indie game devs, VFX artists, post-production teams
Lab machines are dated and scarce, so students rarely get hands-on with real GPU tools.
Every student opens real GPU apps from their own laptop — no lab booking, no IT tickets.
Universities, bootcamps, K–12 STEM programs
Managing VDI is slow, VPNs add latency, and hardware refresh cycles are expensive.
Standardized, secure GPU workspaces provisioned on demand and managed centrally — nothing installed on the endpoint.
IT admins, enterprise security teams, CTOs
