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GreenNode.ai

GreenNode.ai delivers high-performance, cost-efficient AI infrastructure with NVIDIA H100/H200 GPUs and enterprise-grade support for scalable machine learning and generative AI workloads.

GreenNode.ai screenshot

Category: AI Detection

Price Model: Usage-based

Audience: Enterprise

Trustpilot Score: N/A

Trustpilot Reviews: N/A

Our Review

GreenNode.ai: High-Performance AI Infrastructure for Enterprises and Startups

GreenNode.ai is a cutting-edge AI platform delivering enterprise-grade, scalable GPU cloud services powered by NVIDIA H100 and H200 hardware, designed to accelerate AI and machine learning workloads. With a full-stack AI infrastructure including managed Kubernetes, InfiniBand networking, and AI-centric storage via VAST Data, GreenNode provides lightning-fast data transfer, low-latency optimized block storage, and seamless provisioning through intuitive APIs (CLI and GraphQL). Ideal for deploying large language models, training AI applications, and running AI labs, it supports startups and large corporations with flexible, pay-as-you-go pricing and up to 75% cost savings compared to traditional public clouds. Backed by strategic data centers across Southeast Asia and compliance with ISO/IEC 27001, 27017, 27018, and PCI-DSS standards, GreenNode.ai combines performance, security, and affordability in a single managed solution.

Key Features:

  • NVIDIA H100 & H200 GPU Support: Access to the latest high-performance GPU hardware for intensive AI workloads.
  • GPU as a Service (GPUaaS): On-demand, scalable GPU compute with flexible instance configurations.
  • InfiniBand™ Network: Ultra-fast data transfer optimized for NVIDIA architecture, enabling high-speed inter-node communication.
  • AI-Centric Storage (VAST Data): High-performance, scalable storage for large datasets and model checkpoints.
  • Managed Kubernetes with GPU Support: Streamlined container orchestration with auto-scaling and GPU integration.
  • Pay-As-You-Go (PAYG) Pricing: Hourly billing for maximum flexibility and cost efficiency.
  • Customizable GPU Instances: Tailor vCPU, memory, vRAM, number of H100 SXM5 cards, and local storage to specific needs.
  • Serverless AI Models: Deploy and run AI models without managing underlying infrastructure.
  • AI Lab Support: Comprehensive assistance for model training, fine-tuning, and deployment.
  • Full-Stack AI Platform: Integrated solutions including bare-metal GPUs, ML platforms, and AI as a Service (GenAI ChatBot, OCR, Sentiment Analysis).
  • Cost Efficiency: Up to 75% savings compared to other public cloud providers through optimized resource utilization.
  • High-Performance File System Storage: $0.06 per GB/month with low-latency, consistent performance.
  • Additional Networking & IP Services: 10Mbps bandwidth at $60/month, public IP addresses at $6/IP/month.
  • Compliance & Security: Adheres to ISO/IEC 27001, 27017, 27018, and PCI-DSS standards; pursuing SOC 2 Type 2 certification.
  • Strategic Data Center Locations: Facilities in Vietnam, Thailand, and Malaysia for regional performance and data sovereignty.
  • NVIDIA Preferred CSP Partner: Official partnership ensuring hardware alignment and performance optimization.
  • Technical Documentation & Blog: Resources to support developers and teams in building and deploying AI solutions.
  • Early Access via 'Reserve Now': Opportunity to secure GPU resources ahead of full launch.

Pricing: GreenNode.ai offers flexible, usage-based pricing starting at $2.00 per hour, with discounted one-year commitments available. Custom configurations requiring more than 8 GPUs or multi-node clusters with InfiniBand must be coordinated with the sales team. Payment options include credit card (Visa, Mastercard) and bank transfer, with all payments prepaid.

Conclusion: GreenNode.ai stands out as a powerful, cost-effective, and secure AI infrastructure provider, offering elite GPU performance and full-stack support tailored for high-demand AI/ML workloads—perfect for startups and enterprises pushing the boundaries of generative AI and large-scale model deployment.

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