Nodes

Build and Train AI Models without any infrastructure hassle

Combine the power of Containers, Jupyter labs and AI/ML frameworks

Choose from the TIR pre-built images

Use Base OS or Pull your Custom image from the Container Registry

Powerful, Fast and Flexible.
Customise to suit your specific needs.

Upgradable Configurations

Change configurations and plans, such as upgrading from CPU to GPU or switching from hourly to committed plans.

Customisable Disk Size

Adjust disk size up to 5TB, with a default of 30GB, ensuring data persistence

Local NVMe Storage (for H100 and H200 plans)

Fast and Fixed storage for quick reads and writes.

Cost-efficient

Pause your notebook to save on costs, and restart when needed, without losing your data.

Secure Access

Securely enable SSH access to your notebook using a public key or password

Scalable File System (SFS)

Allows multiple Nodes to access the same file system concurrently, enabling shared file storage across instances
Option to Import your Notebook from other platforms
Application Performance Metrics
Container-Native environment
Effortless Team Collaboration with User and Access Management
Find your step by step guide to launch a Node here!

QUICK DEMO through GIFs

Find your step by step guide to launch a Node here!
Get Started For Free

Empowering Users Across Diverse Use Cases

Data Analysis and Exploration
Explore datasets, perform Statistical Analysis & Research, and Visualise data to derive insights.
Machine Learning and AI Development
Develop, Train, and Fine-tune machine learning models. Prototype new algorithms and visualise their performance.
Data Engineering
Extract, Transform, Load (ETL) processes, script data pipelines, and preprocess data.

This is not it. Nodes offer a range of use cases that benefit various industries and applications.

To know more about TIR Nodes
Talk to our Experts

AI Solutions for Every User and Application

Build No-Code AI Agents in minutes

From customer support to research, RAG delivers precise answers tailored to your needs.

RAG

Upload your Knowledge Base, Choose an AI Model and Get ready to test your Personalised Chatbot instantly.
Say Goodbye to LLM Hallucinations:
Accurate Responses Without Fine-Tuning
Integrate effortlessly into your existing infrastructure.
TIR Platform for your AI/ML Needs

Seamlessly Deploy Your AI/ML Models
with Our Robust Platform

To deploy containers that serve model API

Model Endpoints

Deploy using pre-built Containers or your own container
Automate download of model fields from EOS bucket to the container
Frameworks for Text Generation, Video and
Image Generation, Object Detection and many more.
Fully managed service to access Foundation Models through a single API

GenAI API

User-friendly platform to select models, configure parameters and observe the results
Directly access a ready to use, highly scalable API provided by TIR
No need to worry about Infrastructure and Deployment.  Just pay based on API calls

Efficient and Scalable Storage Solutions

Scalable storage solutions for large datasets

Datasets

Load training data from your local machine and other cloud providers
Access the data from your Notebook as a mounted file system
Designed for high-performance vector similarity search

Vector Database

Qdrant to store, search and manage high-dimensional vectors.
Integration with LangChain and Llama Index
Storage buckets to store model weights and config files

Model Repository

Central storage for your custom models and related configurations
Store, version and share your custom or fine-tuned model
Access the models through REST API or GPRC connections
Store private container images

E2E Container Registry

Create multiple discrete repositories in the same region
Supports multiple Artifact formats

Accelerate Model Training with
NVIDIA GPU powered Platform

Re-train existing models

Fine Tuning

Modify pre-existing, pre-trained models to cater to a specific task
Start training models from scratch
Easy-to-use interface to experiment with your GenAI Models

Playground

Test your LLMs before deploying them on the application.
Parameter tuning to optimise your Model output
Automate workflows with Run

Pipeline

Write scalable, serverless and asynchronous training jobs based on docker containers.
Write scalable, serverless and asynchronous training jobs based on docker containers.
Scheduled Run to execute at specific predetermined times or intervals.
Built on top of Jupyter Notebook

Nodes

Powerful NVIDIA GPUs to take care of your workloads
Deploy Custom images
Use Pre-built images, including PyTorch and Transformers,