The easiest way to join AI revolution.

Simplify your tech stack with our streamlined apps and experience hassle-free resource management!

Why us?

Simplicity

There's nothing more frustrating than having to wade through complex documentation just to solve a familiar problem. Spin up your infrastructure in a minute!

That's why we've developed a platform that is built on industry-standard technology.

Documentation

Grab ready-to-use notebooks for a fast paced start with well-known solutions.

Check out our Documentation section to get to know with our platform.

Usability

Get your compute power in your favorite IDE.

Use Jupyter Lab WebUI or connect to remote server via Visual Studio Code or ...

Build full AI pipelines seamlessly with our:

Data Collection and Preparation

Data collection and preparation in an AI pipeline involves gathering relevant data from various sources, cleaning and preprocessing it to ensure consistency and quality.

Check out our toolbox of well-known tools.

How to Create Your Database in CGC by Importing an Image

Run Pandas code 150x faster with NVIDIA RAPIDS cuDF without any code change!

Fast data loading and aggregations

Unleash the power of GPUs in data cleaning tasks thanks to RAPIDS CuDF.

Format of your choice

Store data in any format that suits your needs. From relational to flat files.

Custom DB connectors

To make your work easier, we have prepared several custom functions to make working with databases more enjoyable.

Check in docs!

Model development and training

Model development and training involve finding an ideal deep learning model architecture for a given task. It leads to many iterations where access to training data is crucial for speeding up the process. Thanks to a zero-copy policy, you can train your model in the same environment where you prepared your data.

3x faster training for largest models on A100 80GB

DLRM on HugeCTR framework, precision = FP16 | NVIDIA A100 80GB batch size = 48 | NVIDIA A100 40GB batch size = 32 | NVIDIA V100 32GB batch size = 32.

Powerful GPUs

Use high-end hardware infrastructure to speed up your work. Check how fast the NVIDIA A100 can be.

Up-to-date software stack

Don't waste your time preparing the right work environment. Provided by NVIDIA and tuned by us applications enable you to start your work immediately.

Well-known interface

Use what you like! Take a ride in browser or connect to a remote server with a compatible IDE.

Model deployment and inference

Model deployment with its ability to infer has to be easy! The most crucial part of developing an AI solution is being able to publish it to the world as quickly as possible.

Triton components to enable fast model deployment

Multiple frameworks

Triton supports all major training and inference frameworks, such as TensorFlow, NVIDIA® TensorRT™, PyTorch, Python, ONNX, XGBoost, scikit-learn, RandomForest, OpenVINO, custom C++, and more.

Support for model ensembles

Because most modern inference requires multiple models with preprocessing and post-processing to be executed for a single query, Triton supports model ensembles and pipelines.

Build your API

Publish your model behind an API thanks to FastAPI and Nginx. If you want to develop even faster, try pyTriton.

Check in docs!

Get the right tool for a job

GPU Nvidia H100

Speed up your NLP team with the most powerful GPU on the market.

- 4 times faster training then NVIDIA A100 saves your LLMs team the time they need.
- 80 GB of memory for the most demanding tasks.
- Created specifically for natural language processing.

Data sheet