VISIONTOOLS HPC

We make AI based supercomputing easy. Plan, train, deploy your business.

Build for high performance computing

VISIONTOOLS VISIONTOOLS HPC was developed for the use of supercomputers. Several hundred GPU’s can use Visiontools individually or in a group. Our goal was to use the supercomputers that are still needed today to train high performance AI models only until the training is done. Then we optimize the models so that they can be run on the most energy-efficient machines in the world.

How it works

Plan, build and create your AI Models

Example

  • Manage project
  • Upload, browse, manage your media
  • Label your data manual or automatically
  • Start training with our internal training modules
  • Export, encrypt your models to edge devices

One Integrated Platform for hundreds of servers

Save times

Speeds up your labeling process
by as much as 10x.

Scales Easily

Manages a few to thousands of models
with minimal resources in hundreds of GPU servers worldwide. Deploy your models directly to the edge, to the cloud or onPremise.

Increases Accuracy

VISIONTOOLS users often see substantial improvements in system accuracy in all modules.

Enhances Visibility

Track and manage the efficiency of
AI projects, current data assets, and deployed solutions across all company
site locations.

Learns Continuously

Identifies issues caused by the
environment and raises alerts
when the model drifts.

Gives You Control

Easily update and adjust your solutions without being beholden to a external 3rd developer team.

The tools for success

Login interface

VISIONTOOLS works decentralized through its own VPN tunnels. Via targeted entries in a nameserver, the application behaves like any other internet web page. The difference is that only the users who are in the virtual private network zone with their clients have access to this domain.

Cluster Project Management

This ist the main login page that you see when you open the main page. The application works in any modern browser, worldwide. Every login is secured thru https.

Multi AI Model Training
AI Model Inferencing
Image Labeling & Annotations
HPC Cluster manager & deployment to the edge
CO2 measurement, Cost & Energy modules

Computer vision is transforming any industry, we make AI easy

Manufactoring

Manufactoring

Agriculture

Agriculture

Energy

Energy

Want to build your own HPC Starter package?

You need 1 x REBOTNIX Training Server
You need 1 x REBOTNIX Low energy edge devices

Plan, build and create your AI Models

VISIONTOOLS HPC

Features

  • High performance modules for HPC
  • Hypervisior over clusters
  • Native HTML(5) Application, no installation is required
  • Includes a project management
  • Includes a User management
  • Internal Labeling tool for bounding boxes and segmentation
  • Highend inferencing model testing tools
  • Unlimited training of AI models
  • Databases included
  • Export models for edge computing on NVIDIA Jetson
    • Optional inference engine for NVIDIA Jetson NANO, XAVIER NX or XAVIER AGX
  • Running onPremise or in the cloud
  • VPN (virtual private network) support for decentralized remote co-working)
  • Runs on every modern browser like Google Chrome or Firefox for Windows, Mac or Linux

Autolabeling

Once a model is trained, you can use it for Auto-Labeling. The video shows how we auto label thousands of new labels with a pre-trained model.

Hardware requirements for Intel for the cluster manager

  • Ubuntu 18.04 LTS or sever
  • NVIDIA GPU at least 11 GB of GPU RAM (FOR TRAINING)
  • Intel CPU x86 / 64 Bit CPU at least 2.6 GHz or higher
  • NVIDIA Jetson AGX for training
  • Installed CUDA 10.x or higher, CUDNN 8 or higher
  • 100 GB of free disk space

Hardware requirements for ARM64 cluster manager & Edge module

  • Ubuntu 18.04 or higher LTS server
  • NVIDIA Jetson Xavier NX, or AGX
  • 10 gigabytes of free disk space (installed SSD / Solid-state disk) recommend

Contact us to learn more

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Contact

REBOTNIX GmbH
Am Brambusch 22
44536 Lünen
Germany