# Cirrascale vs GreenNode

Cirrascale records 27,190 monthly visits with +17.5% month-over-month growth and Paid pricing. GreenNode records 75,996 monthly visits with +28.1% growth and Paid pricing.

| Metric | [Cirrascale](https://openaitools.app/tool/cirrascale-com) | [GreenNode](https://openaitools.app/tool/greennode) |
| :--- | :--- | :--- |
| Website URL | https://cirrascale.com | https://greennode.ai |
| Categories | AI Developer Tools, AI Models | Other |
| Pricing Model | Paid | Paid |
| Monthly Visits | 27,190 | 75,996 |
| MoM Growth Rate | +17.5% | +28.1% |
| Primary Market | United States | Vietnam |
| Direct Visits | 6,029 | 41,903 |
| Review Score | 4.2 | 4.1 |
| Saved Count | 1 | 0 |
| Supported Platforms | Website | Website |

## Cirrascale

Cirrascale describes itself as an expert neocloud focused on accelerating private AI training and inference. Rather than renting generic public cloud capacity, it assembles accelerator-specific clouds - AMD Instinct, NVIDIA GPU, Qualcomm and Tenstorrent Galaxy - so teams can test and deploy on multiple accelerator families from a single provider. Supporting infrastructure includes high-throughput multi-tiered storage, low-latency high-bandwidth networking and tailored multi-GPU server configurations.

The managed-service model is a central selling point: Cirrascale provides professional and managed services so customers can run without a large in-house DevOps team, and it advertises no egress or ingress data transfer fees. Workloads are aimed at demanding use cases including generative AI, autonomous and robotics development, computer vision, high-performance computing and audio processing.

Cirrascale has also expanded into inference and private model access. Its Inference Platform powers a private Gemini endpoint on Google Distributed Cloud and Google Cloud Marketplace, keeping data behind the customer's firewall, and it offers private Google Gemini access plus AI2 open model endpoints. It also partners with Google Public Sector through GPAR services to supply AI infrastructure to research institutions and universities.

**Pricing & Plans:** Pricing is quote-based. Cirrascale publishes a pricing section with benefits and pricing tables for its cloud and inference offerings, but specific rates depend on the accelerator, configuration and duration; prospective customers request a quote or get started through the site.

- **Multi-accelerator clouds:** Dedicated clouds for AMD Instinct, NVIDIA GPUs, Qualcomm and Tenstorrent Galaxy accelerators, so you can compare and deploy across hardware families.
- **Private Gemini endpoint:** A private Gemini endpoint delivered on Google Distributed Cloud and Google Cloud Marketplace, keeping prompts and data inside your own infrastructure and firewall.
- **Managed professional services:** Zero-DevOps style professional and managed services that handle infrastructure operations so your team can focus on models and applications.
- **No data transfer fees:** No egress or ingress charges are advertised, which keeps large training and inference data movements predictable in cost.
- **High-bandwidth storage and networking:** Multi-tiered, high-throughput storage plus low-latency, high-bandwidth networking tailored to multi-GPU training and inference workloads.

**Strengths:** Access to several leading accelerator families from a single provider; Private, firewall-protected deployments for sensitive enterprise and public-sector workloads; Managed and professional services reduce the need for in-house DevOps; No egress or ingress data transfer fees advertised

**Limitations:** Pricing is quote-based rather than transparently listed, which slows evaluation; Focused on enterprise-scale deployments; not a self-serve option for hobbyists; Full value depends on the specific accelerator and configuration chosen

[Profile (Markdown)](https://openaitools.app/tool/cirrascale-com.md)

## GreenNode

GreenNode is a cloud platform operated by a Vietnamese company that positions itself as a sovereign AI cloud for Southeast Asia. Rather than being a single AI application, it is the infrastructure layer underneath AI work: GPU instances, CPU instances, bare-metal H100 servers, managed Kubernetes, block, file and object storage, networking and managed databases. The emphasis is on keeping workloads and data inside the region, with availability zones in Hanoi, Ho Chi Minh City and Bangkok.

On top of the raw infrastructure, GreenNode ships an AI stack for teams that want to train and deploy models without assembling everything themselves. The AI Platform covers training, fine-tuning and inference at scale; Model as a Service (MaaS) exposes a library of ready-to-use models through an API; AgentBase helps take agents from prototype to production; and Intelligent Document Processing combines OCR with language and vision models for extraction and validation.

Pricing is usage-based and quoted in Vietnamese dong on the official pricing page, spanning per-hour rates for AI services and per-30-day rates for compute and database products. Enterprises generally start with a free trial flow or a sales conversation, and the platform targets regulated industries such as finance, retail, education and software that have to satisfy local compliance and data-residency rules.

**Pricing & Plans:** Paid, usage-based cloud pricing quoted in VND. GPU instances, storage, Kubernetes, databases and AI services are billed per hour or per 30 days; enterprise plans are quoted through sales.

- **GPU and HPC compute:** On-demand GPU instances plus dedicated H100 bare-metal servers tuned for AI training, fine-tuning and high-performance computing workloads.
- **Fully managed Kubernetes:** GreenNode Kubernetes Service handles cluster provisioning and operations so teams can deploy containerized applications at scale without running control planes.
- **AI stack and Model as a Service:** A unified AI Platform for training and inference, a MaaS catalog of ready-to-use models exposed via API, and AgentBase for shipping agents to production.
- **Storage, networking and databases:** Block, file and object storage, VPC networking with load balancing and interconnect, and managed PostgreSQL, MySQL, MariaDB, Redis, OpenSearch and Kafka.
- **Regional data sovereignty:** Six availability zones across Vietnam and Thailand with compliance-oriented controls so data stays within Southeast Asia.

**Strengths:** Infrastructure and AI services in one governed platform; Regional availability zones that support Southeast Asian data-residency requirements; Clear public pricing for compute, storage, databases and AI services; Managed Kubernetes, databases and model serving reduce operational overhead

**Limitations:** Pricing is published in Vietnamese dong, which takes conversion effort for international buyers; Geographic footprint is limited to Vietnam and Thailand; Enterprise features generally require contact with the sales team

[Profile (Markdown)](https://openaitools.app/tool/greennode.md)

## Frequently Asked Questions

### How do Cirrascale and GreenNode compare in monthly traffic?

Cirrascale has 27,190 monthly visits, while GreenNode has 75,996. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Cirrascale has a month-over-month growth rate of +17.5%; GreenNode has +28.1%.

### How does pricing compare?

Cirrascale: Paid. Pricing is quote-based. Cirrascale publishes a pricing section with benefits and pricing tables for its cloud and inference offerings, but specific rates depend on the accelerator, configuration and duration; prospective customers request a quote or get started through the site. GreenNode: Paid. Paid, usage-based cloud pricing quoted in VND. GPU instances, storage, Kubernetes, databases and AI services are billed per hour or per 30 days; enterprise plans are quoted through sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | The AI developer cloud for GPU pods, serverless inference and clustering | [.md](https://openaitools.app/tool/runpod.md) |
| 2 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rent cloud GPUs by the second from a global marketplace | [.md](https://openaitools.app/tool/vast-ai.md) |
| 3 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Serverless cloud infrastructure for AI and data workloads | [.md](https://openaitools.app/tool/modal-com.md) |
| 4 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | An AI-native cloud built from silicon to API for training, tuning, and serving models | [.md](https://openaitools.app/tool/nebius.md) |
| 5 | [Salad](https://openaitools.app/tool/salad-gpu-cloud) | 713,519 | +10.4% | Free Trial, Paid, Contact for Pricing | Distributed GPU cloud that orchestrates the world's idle consumer GPUs | [.md](https://openaitools.app/tool/salad-gpu-cloud.md) |
| 6 | [Cerebras](https://openaitools.app/tool/cerebras) | 701,013 | -12.6% | Contact for Pricing | The world's fastest AI inference, powered by the world's biggest chip | [.md](https://openaitools.app/tool/cerebras.md) |
| 7 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | The AI cloud built by the creators of PyTorch Lightning | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 8 | [Agent 37](https://openaitools.app/tool/agent-37) | 180,030 | +24.2% | Free Trial, Contact for Pricing | The low-cost cloud sandbox where AI agents actually live | [.md](https://openaitools.app/tool/agent-37.md) |
| 9 | [FluidStack](https://openaitools.app/tool/fluidstack) | 154,620 | +7.3% | Paid, Contact for Pricing | Gigawatt-scale AI compute, built and operated end to end | [.md](https://openaitools.app/tool/fluidstack.md) |
| 10 | [Thunder Compute](https://openaitools.app/tool/thunder-compute) | 102,147 | -29% | Paid (per-minute instances, per-second sandboxes) | Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads. | [.md](https://openaitools.app/tool/thunder-compute.md) |

---
Source: https://openaitools.app/compare/cirrascale-com-vs-greennode

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)