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Hybrid quantum and AI computing infrastructure

GPU & AI CLOUD · DGX SUPERPOD

High-Performance AI & HPC Infrastructure Powered by NVIDIA DGX

Enterprise-grade AI and HPC cloud infrastructure built on NVIDIA DGX SuperPOD for large-scale AI training, scientific simulation, and data-intensive workloads.

QAI designs, builds, and operates AI supercomputing platforms based on DGX B200 and H200 systems for enterprises, research institutions, and public-sector organizations.

Enterprise AI supercomputing

QAI designs, integrates, and operates enterprise-grade AI supercomputing infrastructure for research institutions, enterprises, and public-sector organizations.

  • Beyond GPU - only access

    Designed as a complete AI supercomputing environment, not a shared GPU marketplace.

  • Unified hybrid workflows

    AI training, simulation, and data processing operate within a single, unified execution environment.

  • Engineered for long-term operation

    Built and operated by QAI as stable, enterprise-grade AI and HPC infrastructure.

PLATFORM ARCHITECTURE

A Unified AI Supercomputing Architecture

  1. AI & HPC Workloads

    Large-scale AI training, inference, scientific simulation, and data-intensive computing.

  2. DGX SuperPOD Fabric

    Unified NVIDIA DGX B200 and H200 GPU fabric for distributed AI and parallel computation at scale.

  3. Network & Storage

    Low-latency, high-throughput networking and storage for efficient data movement and reliable access.

  4. Data Center Operations

    Dedicated AI data center infrastructure for secure, long-term, enterprise-grade operation.

Four-layer Quantum–AI platform architecture including orchestration software, AI supercomputing, quantum systems, and edge data center infrastructure.
Enterprise-ready quantum–AI systems infrastructure
HYBRID QUANTUM–AI PLATFORM

Quantum Cloud (QUREKA)

A unified execution layer for GPU supercomputing and real quantum processors

  • QUREKA is QAI’s hybrid Quantum–AI cloud operating platform, integrating GPU supercomputing and real quantum processors (QPUs) into a single unified computing environment.
  • Designed for secure, enterprise-grade, long-term operation.
  • This enables true Quantum-as-a-Service (QaaS), scaling seamlessly from proof-of-concept research to enterprise and production-grade deployment.
Hybrid Quantum and AI computing infrastructure background
PLATFORM CAPABILITIES

Built for real-world AI and HPC operations

QAI’s AI & GPU Cloud is designed to support large-scale AI training, high-performance computing, and data-intensive workloads in real production environments

  • Large-scale AI training and inference on NVIDIA DGX SuperPOD
  • High-performance computing for scientific and industrial workloads
  • Secure, flexible GPU cloud operation designed for long-term use

KEY INDUSTRIAL APPLICATIONS

Unified AI, HPC, and hybrid quantum workloads

QAI GPU and AI Cloud supports enterprise AI workloads including foundation model training, high-performance computing, hybrid quantum simulation, and industrial research and development on NVIDIA DGX SuperPOD infrastructure.

  • AI foundation model training on NVIDIA DGX SuperPOD infrastructure

    AI & Foundation Model Training

    QAI’s DGX SuperPOD infrastructure enables large-scale training of foundation models, generative AI, and multimodal systems under sustained, production-grade conditions.

    Unified access to high-bandwidth GPU clusters supports distributed training, fine-tuning, and inference workflows for enterprise and domain-specific AI models

  • High-performance computing workloads on NVIDIA DGX SuperPOD infrastructure

    High-Performance Computing (HPC)

    QAI delivers enterprise-grade high-performance computing for scientific simulation, engineering analysis, and physics-based workloads requiring massive parallel computation.

    The SuperPOD architecture combines low-latency interconnects and high-throughput GPU fabric for large-scale simulations and compute-intensive research.

  • Hybrid quantum simulation using NVIDIA DGX GPU and QPU systems

    Quantum Simulation (Hybrid QPU–GPU)

    This approach supports quantum algorithm simulation, hybrid quantum–classical computation, and accelerated molecular and materials science workloads.

    This approach supports quantum algorithm simulation, hybrid quantum–classical computation, and accelerated molecular and materials science workloads.

  • Enterprise AI and HPC workloads for industrial research and development

    Industry R&D Workloads

    QAI’s AI and HPC cloud supports industrial research workloads across biomedical discovery, semiconductor design, materials science, financial modeling, and autonomous systems.

    Bare-metal GPU performance and secure cloud access enable mission-critical R&D execution without on-premise infrastructure complexity.

Quantum–AI platform infrastructure supporting real-world operations
PLATFORM POSITIONING

Built for production-grade AI & HPC operations

QAI’s AI & GPU Cloud transforms large-scale AI, HPC, and hybrid quantum workloads into a stable, production-grade computing platform.

By integrating NVIDIA DGX SuperPOD infrastructure with secure cloud operations, QAI enables organizations to deploy advanced computation with confidence.

AI & GPU CLOUD INQUIRIES