Key takeaways

  • GreenNode has introduced new high-performance Compute Flavors in early 2026, designed as the core infrastructure layer for AI-native enterprises.
  • These instances combine powerful CPU options, NVIDIA GPU support, fast networking, and optimized storage to handle large-scale AI training, inference, and data-intensive workloads reliably.
  • The goal is to give AI-native businesses ready-to-use, scalable cloud instances so they can focus on building models and products instead of managing complex infrastructure.

In the era of artificial intelligence, compute performance is no longer just a technical specification. It has become the core foundation that determines model training speed, system scalability, and a company’s competitive advantage. At GreenNode, performance is not an add-on feature — it is a guiding design principle embedded throughout our entire infrastructure architecture.

Continuing this vision, GreenNode officially launched its new high-performance Compute Flavors in early 2026. This upgrade not only expands the range of configurations available, but also reaffirms our commitment to delivering a high-performance computing platform optimized for enterprises entering the AI-native era.

Diverse configurations – Optimized for every workload

Rather than focusing on virtual quantity, GreenNode prioritizes delivering a practical and well-optimized range of configurations tailored to real enterprise workloads. Similar to hyperscale cloud providers, GreenNode’s compute flavors are logically categorized into four main groups, powered by high-performance processors from Intel and AMD:

  • General Purpose: Balanced CPU and memory resources, suitable for most web servers and enterprise applications.
  • Standard: Optimized for stable performance across common workloads.
  • High Memory: Designed for applications requiring large RAM capacity, such as in-memory databases or big data analytics.
  • High CPU: Built for compute-intensive workloads that demand strong processing power and fast data handling.

High-performance cloud instances with high-speed networking

A key highlight of this latest upgrade is the introduction of Intel Xeon Platinum 8558P processors. This marks a significant step forward in realizing our vision of delivering high-performance AI cloud infrastructure for digital enterprises.

To meet demanding requirements for data transfer speed, GreenNode offers two network bandwidth options:

  • Network 1GBps: Available across a wide range of configurations, from entry-level options like s2-general-1x1 to high-capacity instances such as s2-highmem-32x256.
  • Network 10GBps: Designed for latency-sensitive and bandwidth-intensive workloads, including configurations like s2-standard-64x256-n10 and s2-highcpu-32x64-n10.

Some new compute flavors powered by Intel Xeon Platinum 8558P processors on GreenNode:

Flavor Group

1 Gbps Bandwidth

Designed for basic workloads, offering stable performance and cost efficiency

10 Gbps Bandwidth (-n10)

Designed for workloads requiring low latency and high bandwidth

General Purpose
  • s2-general-1x1
  • s2-general-1x2
  • s2-general-2x4
  • s2-general-4x8
  • s2-general-8x16
  • s2-general-16x32 
  • s2-general-8x16-n10
  • s2-general-16x32-n10
Standard
  • s2-standard-2x8
  • s2-standard-4x16
  • s2-standard-8x32
  • s2-standard-12x48
  • s2-standard-16x48
  • s2-standard-16x64
  • s2-standard-24x96
  • s2-standard-32x128
  • s2-standard-8x32-n10
  • s2-standard-12x48-n10
  • s2-standard-16x64-n10
  • s2-standard-32x128-n10
  • s2-standard-64x256-n10
High Memory
  • s2-highmem-2x16
  • s2-highmem-4x32
  • s2-highmem-8x64
  • s2-highmem-16x96
  • s2-highmem-16x128
  • s2-highmem-32x256
  • s2-highmem-8x64-n10
  • s2-highmem-16x128-n10
  • s2-highmem-32x256-n10
High CPU
  • s2-highcpu-2x2
  • s2-highcpu-4x4
  • s2-highcpu-8x8
  • s2-highcpu-16x16
  • s2-highcpu-32x32
  • s2-highcpu-32x64
  • s2-highcpu-8x8-n10
  • s2-highcpu-16x16-n10
  • s2-highcpu-32x64-n10

With a 1 Gbps network, GreenNode provides a wide range of configurations from entry-level to high-end, supporting workloads from standard application operations to large-scale enterprise systems. Meanwhile, flavors with the “-n10” suffix are equipped with 10 Gbps bandwidth, making them particularly suitable for AI training, Big Data pipelines, and real-time systems that require high throughput.

The flexibility to choose between 1 Gbps and 10 Gbps networking enables enterprises to optimize costs while ensuring performance that aligns with each stage of their growth.

Why GreenNode is a top choice for AI-native enterprises

With its upgraded infrastructure architecture, GreenNode goes beyond simply providing compute resources. It builds an AI-ready ecosystem from the ground up, where every component is optimized to help enterprises deploy faster, operate more efficiently, and maintain better long-term cost control.

  • Optimized Total Cost of Ownership (TCO): Reduce long-term infrastructure investment and operational costs while maximizing resource efficiency.
  • Superior price-to-performance: Deliver greater computing capability per budget unit, ensuring strong performance relative to investment.
  • Local regulatory compliance: Ensure data security and full compliance with Vietnamese regulations such as the Data Law 2024 and the Personal Data Protection Law 2025.

From infrastructure to AI applications in just a few clicks

Beyond the high-performance Intel Xeon Platinum 8558P CPU platform, GreenNode also provides a range of specialized GPUs designed for advanced AI and Machine Learning workloads.

GreenNode’s GPU Cloud integrates multiple high-performance NVIDIA GPUs, including NVIDIA H100 Tensor Core GPU, L40S, A40, RTX 5090, and RTX 4090. This diverse portfolio enables enterprises to flexibly choose configurations suitable for each stage of model development — from model tuning, LLM training, and deep learning processing to real-time inferencing and enterprise AI applications.

In addition, GreenNode cloud servers are deployed on international-standard data center infrastructure, operating under a Multi-Availability Zone (Multi-AZ) architecture to ensure high availability and stability. Currently, GreenNode operates 03 regions: HCM - Ho Chi Minh City (3 AZs), HAN - Hanoi (2 AZs) và BKK – Bangkok (1 AZ).

greennode-blog-new-cloud-instance-pic-1-en.png
The infrastructure meets international standards, allowing customers to easily deploy a multi-AZ architecture similar to a hyperscaler to increase system availability.

This architecture allows enterprises to flexibly scale VM resources based on real workload demands, maintain stable performance for critical AI workloads, and optimize costs through a flexible usage model.

With the combination of high-performance CPUs and specialized GPU systems, GreenNode delivers a comprehensive AI platform — ready from infrastructure to application — providing a strong foundation for a wide range of AI workloads:

  • LLM Training: Supporting the development and fine-tuning of large-scale AI models.
  • Model Inference Deployment: Running AI models in production environments with real-time processing capabilities.
  • AI Solution Development: Building chatbots and intelligent enterprise applications.

Everything is ready for enterprises to start their AI journey in just a few steps of server initialization. Experience the GreenNode infrastructure today and discover the difference of a high-performance AI cloud platform built for AI, ML, and Big Data workloads.

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