AI Infrastructure

GPU Clusters & AI Infrastructure

Deploy enterprise-grade AI infrastructure with GPU clusters, HPC systems, and ML platforms. On-premise deployment with cloud bursting for cost-optimized AI workloads.

AI Infrastructure Solutions

From GPU appliances to complete HPC clusters with ML platform engineering

GPU Appliances & Clusters

High-density GPU servers with NVLink/NVSwitch fabrics for maximum performance

  • NVIDIA A100, H100, L40S GPUs
  • NVLink & NVSwitch interconnect
  • Density-optimized rack design
  • Liquid cooling options

HPC & Supercomputing

High-performance computing clusters for research and production workloads

  • Multi-node cluster deployment
  • Infiniband/RoCE networking
  • Parallel filesystems (Lustre, BeeGFS)
  • Job scheduling (Slurm, PBS)

ML Platform Engineering

End-to-end MLOps platform with training pipelines and model serving

  • Kubernetes-based ML platform
  • Model training & fine-tuning
  • Model serving & inference
  • Experiment tracking & versioning

Cloud Bursting

Hybrid architecture with on-prem cluster and cloud bursting for cost optimization

  • On-prem + GCP/Azure/AWS
  • Automatic workload distribution
  • Cost-optimized scheduling
  • Data synchronization

Enterprise GPU Cluster Specifications

High-performance GPU clusters designed for AI training, inference, and HPC workloads with industry-leading performance and reliability.

GPU ModelsA100, H100, L40S
InterconnectNVLink, NVSwitch, Infiniband
StorageNVMe, Lustre, BeeGFS
Network100GbE, 200GbE, Infiniband
CoolingAir / Liquid cooling
PerformanceUp to 2 PFLOPS

Cluster Services

  • Cluster Design & Sizing
    Workload analysis and optimal configuration
  • Rack & Stack
    Physical deployment and cabling
  • Performance Tuning
    Benchmarking and optimization
  • MLOps Platform
    Training pipelines and model serving
Starting from
Custom Quote
Based on workload requirements

AI Infrastructure Use Cases

Powering diverse AI and HPC workloads across industries

Large Language Models

Train and fine-tune LLMs with distributed training across multiple GPUs

Computer Vision

Image recognition, object detection, and video analytics at scale

Scientific Computing

Molecular dynamics, climate modeling, and research simulations

Financial Modeling

Risk analysis, algorithmic trading, and portfolio optimization

Hybrid AI Architecture

On-premise GPU cluster with cloud bursting for cost-optimized AI workloads

On-Premise Cluster

Dedicated GPU nodes for consistent workloads with low latency and data sovereignty

Cloud Bursting

Scale to cloud (GCP, Azure, AWS) for peak workloads and cost optimization

Ready to Deploy Your AI Infrastructure?

Get a free cluster sizing consultation and architecture design

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