Unified Solutions for Enterprise AI

ThunderCat Technology delivers integrated AI infrastructure solutions powered by NVIDIA’s DGX platform. These solutions combine compute, networking, storage, software, and lifecycle services into a cohesive system optimized for enterprise needs.

Key Offerings

NVIDIA DGX

NVIDIA DGX systems are purpose-built for enterprise AI, combining state-of-the-art GPUs with an optimized software stack to deliver unmatched performance for AI and deep learning workloads.
Details on the NVIDIA DGX Platform

NVIDIA DGX SuperPOD

A turnkey data center solution designed for large-scale AI workloads. It includes:

    • High-performance NVIDIA DGX Systems.
    • Ultra-low latency networking using NVIDIA InfiniBand.
    • Certified storage optimized for diverse data types.
    • White-glove deployment services ensuring seamless implementation.

    Details on the NVIDIA SuperPod

    NVIDIA DGX BasePOD

    A reference architecture that integrates compute, networking, storage, and software into scalable enterprise infrastructure.
    Details on the NVIDIA BasePOD

    Lifecycle Services:

    • Capacity planning and site evaluation.
    • Installation and post-deployment optimization.
    • Ongoing training and support through NVIDIA’s Deep Learning Institute and access to DGXperts.

    NVIDIA DGX Cloud

    NVIDIA DGX Cloud provides instant access to AI supercomputing through a browser-based interface. This service allows enterprises to scale their AI development without the need for on-premises infrastructure. Key features include:

    • Dedicated clusters of NVIDIA DGX hardware
    • Integrated software stack: Includes NVIDIA Base Command Platform and NVIDIA AI Enterprise for streamlined development workflows.
    • Flexible hybrid-cloud support: Scale workloads seamlessly across cloud and on-prem environments.
    • Expert support: Access to NVIDIA engineers for optimization and troubleshooting.
    • DGX Cloud eliminates infrastructure complexity, enabling faster time-to-value for generative AI, large language models (LLMs), and other advanced applications.

    Details on the NVIDIA DGX Cloud 

    Base Command – Run:AI

    NVIDIA Base Command powers the management of DGX systems, simplifying AI development and deployment through:

    • Cluster management: Centralized tools for provisioning, monitoring, and maintaining DGX clusters.
    • Workload orchestration: Efficient scheduling of jobs across single or multi-node setups using Kubernetes or Slurm.
    • Run:AI integration: Enhances resource allocation by virtualizing GPU resources across teams, ensuring optimal utilization.
    • Comprehensive reporting: Real-time insights into system performance, resource usage, and job status.

    Base Command paired with Run:AI enables organizations to maximize their DGX infrastructure’s potential while streamlining MLOps workflows.