AI & GPU Compute

High-performance GPU infrastructure for AI/ML workloads, rendering, and compute-intensive applications

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Service Overview

ITNT provides dedicated GPU compute infrastructure for machine learning training, inference workloads, 3D rendering, and high-performance computing applications. Our GPU clusters are optimized for both short-term burst workloads and long-running training jobs.

We offer flexible deployment models including bare-metal GPU servers, containerized workloads on Kubernetes, and integration with popular ML frameworks like TensorFlow, PyTorch, and CUDA-accelerated applications.

Infrastructure Capabilities

GPU Hardware

  • NVIDIA A100, H100, and RTX series GPUs
  • Multi-GPU configurations with NVLink
  • High-memory instances (up to 640GB GPU RAM)

Compute Performance

  • Low-latency networking (100Gbps InfiniBand)
  • NVMe storage for fast data loading
  • Optimized for distributed training

ML/AI Frameworks

  • Pre-configured TensorFlow and PyTorch environments
  • CUDA, cuDNN, and RAPIDS libraries
  • Jupyter notebooks and MLflow integration

Data Management

  • High-performance parallel file systems
  • Dataset versioning and experiment tracking
  • Integration with S3-compatible storage

Common Use Cases

Machine Learning

  • Deep learning model training (computer vision, NLP)
  • Large language model fine-tuning
  • Hyperparameter optimization and AutoML

Inference & Deployment

  • Real-time model serving with low latency
  • Batch inference for large datasets
  • Edge AI model optimization

Rendering & Visualization

  • 3D rendering and animation production
  • Video transcoding and processing
  • Scientific visualization

High-Performance Computing

  • Computational fluid dynamics (CFD)
  • Molecular dynamics simulations
  • Financial modeling and risk analysis

Flexible Pricing Models

We offer multiple pricing options to match your workload patterns and budget requirements:

On-Demand

Pay per hour with no commitment. Ideal for short-term projects and experimentation.

Hourly

Reserved

Monthly commitment with discounted rates. Best for ongoing training workloads.

Monthly

Dedicated

Private GPU cluster with guaranteed capacity. For production AI/ML pipelines.

Annual

Need GPU Compute Power?

Let's discuss your AI/ML infrastructure requirements

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