CLOUD GPU
Tier III/IV
EN 50600
ISO Certified

GPU-Accelerated Kubernetes

Managed Kubernetes clusters powered by NVIDIA H200 infrastructure built for large-scale AI training, inference workloads, and production-grade accelerated computing.

Production Ready GPU Kubernetes

GPU Isolation

Secure GPU resource isolation with dedicated allocation policies designed for predictable performance and workload separation.

Optimized Scheduling

Intelligent GPU scheduling designed to optimize workload distribution, resource allocation, and cluster-wide performance efficiency.

Fully Managed

NexNodo handles GPU drivers, CUDA updates, cluster operations, and infrastructure maintenance so your team can focus entirely on workloads.

99.5% Uptime SLA

Backed by a guaranteed 99.5% uptime SLA for production-grade GPU infrastructure reliability.

Perfect For

Distributed AI Training

Run distributed large-scale model training workloads across multiple GPU nodes designed for enterprise AI infrastructure.

ML Model Serving

Deploy scalable inference APIs and production AI services powered by GPU accelerated container environments.

Data Processing Pipelines

Process large-scale ETL pipelines, accelerated analytics workloads, and compute-intensive data workflows using GPU infrastructure.

Technical Capabilities

NVIDIA GPU Operator

Automated GPU driver installation and management across your cluster.

GPU Metrics & Monitoring

Real-time GPU utilization, memory, and temperature monitoring.

CUDA & cuDNN Support

Pre-configured with latest CUDA toolkit and cuDNN libraries.

Why GPU Kubernetes on NexNodo

Managed GPU Operations

NexNodo handles drivers, updates, and cluster maintenance.

Enterprise GPU Infrastructure

Powered by dedicated NVIDIA H200 accelerator hardware.

Production AI Infrastructure

Built for inference APIs, training workloads, and distributed compute.

Kubernetes at Scale

Deploy GPU accelerated workloads across scalable production clusters backed by a guaranteed 99.5% uptime SLA.

Powered by NVIDIA H200 Architecture

Enterprise GPU Kubernetes infrastructure built on NVIDIA H200 accelerators optimized for distributed AI training, inference APIs, and large-scale accelerated computing workloads.

141 GB HBM3e Memory per GPU
Up to 8 GPU Cluster Configurations
Optimized for Distributed AI Training
High Bandwidth AI Memory Architecture
Production-Grade Accelerated Computing

Popular GPU K8S Configurations

Small

1× NVIDIA H200 (141GB) / node
15 vCPUs / node
256 GB RAM / node
1 TB NVMe SSD / node
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Most Popular

Medium

2× NVIDIA H200 (141GB) / node
30 vCPUs / node
512 GB RAM / node
2 TB NVMe SSD / node
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Large

4× NVIDIA H200 (141GB) / node
60 vCPUs / node
1 TB RAM / node
6 TB NVMe SSD / node
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XL

8× NVIDIA H200 (141GB) / node
120 vCPUs / node
2 TB RAM / node
15 TB NVMe SSD / node
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Launch Enterprise GPU Kubernetes Infrastructure

Deploy managed GPU Kubernetes clusters powered by NVIDIA H200 infrastructure while NexNodo handles operations, maintenance, and platform management.