One environment for streaming Omniverse apps: NVIDIA Cloud Functions, elastic GPUs and USD scenes read from your own bucket. Run it in your account on AWS, Azure, Google Cloud or on premises.
From the control plane to the pixel in the browser.
We install and run NVIDIA's self-managed Cloud Functions stack with the Omniverse Storage APIs, so your team streams interactive USD scenes to any browser. Scenes, GPUs and streams stay in your account.
01 · FAST
A picture, not a download
Kit apps stream to the browser over WebRTC. No client install, and mouse and keyboard input go straight to the scene.
1920×1080 at about 60 fps in our lab
USD scenes read straight from your bucket
Relay over TLS for viewers behind corporate firewalls
02 · CONTROLLABLE
GPUs warm when people work
…and released when they leave. An operator activates a stream, the Console shows every session, and you set the GPU ceiling.
Activate a stream in one click, with an automatic stop
The GPU pool scales to zero every night
Scoped keys, single-use share links and an audit trail
03 · ANY CLOUD
The same stack, your account
One design on managed Kubernetes or on your own GPUs. Terraform and Helm set it up, with NVIDIA versions pinned.
AWS EKS and Azure AKS
Google Cloud GKE and on-prem k3s
Your bucket: S3, Blob, GCS or on-prem object storage
How it works
One stack. Four ways to run it.
Omniverse apps run as NVIDIA Cloud Functions on Kubernetes. The Control Console starts and stops the GPU pool, the Storage APIs serve USD from your bucket, and the stream reaches the browser.
streamcontrolstorageDrawn from our running lab design.
1080p60
Browser stream; mouse input reaches the Kit app.
Lab · AWS · 5 Nov 2026
0GPUs
The GPU pool scales to zero every night and starts again on demand.
Lab · stops on record
NoNucleus
A USD scene read from a private bucket through the Omniverse Storage APIs.
Lab · 6 Nov 2026
TLSrelay
The stream still reaches viewers behind a corporate firewall.
Lab · 6 Nov 2026
What you get
Every lever moves another. We know which.
Streaming, storage, GPUs and cost are tuned as one system, on a stack we built and run ourselves.
Control Console
Activate a function, watch live sessions, end a stream and read the audit trail, in one place for every environment.
Elastic GPU pool
Zero GPUs when nobody watches. Capacity follows sessions within a ceiling you set.
Omniverse Storage APIs
USD scenes are data in your own bucket. Kit opens them through NVIDIA's Storage and Discovery services, with no Nucleus server.
Secure by default
Allow-listed operator access, scoped deploy and stream keys, nothing secret in the browser.
Share links
Show a live scene to a guest with no account. Each link is for one viewer, lasts 5 to 60 minutes, works once and can be revoked.
Infrastructure as code
Terraform foundations per cloud, Helm for the NVIDIA stack, image digests locked. Every change is reviewed as a plan first.
Clouds
Fast and controllable wherever you run.
The same Console, the same functions and the same stream on each target. Pick the cloud you already use, or run on your own GPUs.
AWS
EKS · L40S GPUs
Streaming end to end in our lab, with nightly scale-to-zero.
Microsoft Azure
AKS · NVIDIA GPUs
Streaming end to end in our lab, with scenes from Blob storage.
Google Cloud
GKE · NVIDIA GPUs
Being brought up now on the same design.
On-prem
k3s · your GPUs
Being brought up now: k3s on a single L40S GPU server.
Start
See your scene in a browser.
We start with a two-week assessment and get from an empty account to a first streamed scene early in the pilot.