Future-ready infrastructure for today’s AI workloads

Artificial Intelligence (AI) Infrastructure

NetShop ISP provides reliable, high-performance infrastructure built to support modern AI and machine learning workloads.

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Purpose-built Infrastructure for AI, ML & HPC

Built for demanding AI workloads, our infrastructure supports everything from deep learning model training and large-scale data processing to real-time inference and generative AI applications. With dedicated GPUs, optimized CPU architectures, and high-throughput storage, you gain consistent performance without resource contention.

Accelerate AI, machine learning and high-performance computing workloads with dedicated GPU infrastructure designed for maximum performance and reliability. Our GPU-powered servers deliver the parallel processing power required for model training, inference, data analytics and real-time AI applications — all backed by scalable resources, high-speed NVMe storage and low-latency networking.

Deploy your AI Workload on Dedicated Infrastructure

Get the performance, isolation and scalability your AI workloads demand. Dedicated infrastructure tailored to your compute, storage and GPU requirements.

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AI Infrastructure, Simplified

High-performance compute & fast storage

Optimized CPU platforms, NVMe SSDs and high I/O performance ensure faster data processing, model training and inference.

Scalable environments for evolving workloads

Easily scale compute, memory and storage as your AI projects grow — from proof-of-concept to production-ready systems.

Low latency & reliable networking

Ideal for real-time AI applications, APIs, and data-driven services that demand consistent performance and connectivity.

Secure & isolated infrastructure

Private networking, hardened servers and optional isolated environments protect sensitive datasets and AI models.

Developer-friendly & automation-ready

Full root access, Linux & Windows support, Docker / Kubernetes-ready environments, and CI/CD compatibility for streamlined AI workflows.

Supporting AI Workloads for Different Use Cases

Our AI-oriented infrastructure is designed to support a wide range of workloads, from compute-intensive AI and HPC environments to machine learning training, real-time inferencing, and GPU-accelerated graphics.

AI / HPC

High-end GPU

Designed for highly parallel, compute-intensive workloads that demand maximum GPU performance. Ideal for advanced AI research, large-scale simulations, and complex data processing requiring massive throughput and memory bandwidth.

HPC / Machine Learning Training

High/Mid-range GPU

Built for training machine learning and deep learning models on large datasets. These workloads benefit from powerful GPUs, fast NVMe storage, and high-speed interconnects to reduce training time and improve model accuracy.

Inferencing / Edge

Entry/Mid-range GPU

Optimized for running trained AI models in production. Focused on low latency, efficiency, and scalability, inferencing workloads power real-time predictions, APIs, and edge deployments where fast response times are critical.

AI / Performance Graphics / VDI

High/Mid-range GPU

Suited for graphics-intensive and AI-accelerated virtual desktops. Enables high-performance visualization, 3D rendering, and GPU-accelerated applications for power users, engineers, and creative professionals.