# GreenNode vs Modal

GreenNode records 75,996 monthly visits with +28.1% month-over-month growth and Paid pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.

| Metric | [GreenNode](https://openaitools.app/tool/greennode) | [Modal](https://openaitools.app/tool/modal-com) |
| :--- | :--- | :--- |
| Website URL | https://greennode.ai | https://modal.com |
| Categories | Other | AI Developer Tools, AI API, Large Language Models (LLMs), AI Models |
| Pricing Model | Paid | Freemium, Contact for Pricing |
| Monthly Visits | 75,996 | 1,196,021 |
| MoM Growth Rate | +28.1% | +30.2% |
| Primary Market | Vietnam | United States |
| Direct Visits | 41,903 | 845,636 |
| Review Score | 4.1 | 4.8 |
| Saved Count | 0 | 3 |
| Supported Platforms | Website | Website |

## 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)

## Modal

Modal provides cloud infrastructure aimed squarely at AI and data teams. The core idea is that developers write ordinary Python, decorate functions or define container images, and Modal takes care of the underlying compute: scheduling containers, attaching GPUs, autoscaling from zero and back, and exposing endpoints over HTTPS. Infrastructure concerns like networking, storage, and capacity management are abstracted away, so a workload that runs on a laptop can run the same way across a fleet.

The platform is organised around a few primitives. Functions handle serverless compute and can fan out across thousands of GPUs for parallel or batch work. Sandboxes provide isolated environments for coding agents, reinforcement learning rollouts, and other untrusted code, with sub-second start times and support for very high concurrency. Training covers fine-tuning, reinforcement learning, and evaluation on single or multi-node GPU capacity. On the inference side, Modal offers OpenAI-compatible endpoints for open-weight models and lets teams deploy custom stacks and tune endpoints to match their traffic shape.

Underneath, Modal runs its own container runtime and image system designed for large images and fast GPU scheduling, along with a distributed filesystem for fast access to model weights and datasets. Capacity is drawn from a multi-cloud pool spanning many regions, with automatic routing to available hardware and continuous fleet health checks. Billing is usage-based, charged by the second while code runs, with granular cost controls. The company offers a free starting allowance and scalable paid usage, and markets to enterprises with SOC 2 Type II compliance and HIPAA readiness.

**Pricing & Plans:** Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

- **Serverless Python functions:** Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
- **Sandboxes for agents:** Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
- **Training and fine-tuning on demand:** Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
- **Model inference and endpoints:** Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
- **Fast storage and multi-cloud capacity:** A distributed filesystem loads large images and model weights at full bandwidth, while a pool spanning 20+ clouds routes workloads to the right hardware and region.

**Strengths:** Python-native developer experience with almost no infrastructure boilerplate; Scales from zero to thousands of GPUs with per-second, usage-based billing; Sandboxes are well suited to agentic and untrusted-code workloads; Multi-cloud capacity spans many regions with out-of-the-box observability and enterprise compliance

**Limitations:** Billed by real usage, so heavy GPU workloads can get expensive quickly without cost controls; Some advanced inference and enterprise features require working with the team rather than self-serve signup; The serverless model can feel less familiar to teams used to managing their own VMs or Kubernetes clusters

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

## Frequently Asked Questions

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

GreenNode has 75,996 monthly visits, while Modal has 1,196,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

GreenNode has a month-over-month growth rate of +28.1%; Modal has +30.2%.

### How does pricing compare?

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. Modal: Freemium, Contact for Pricing. Modal uses usage-based pricing billed by the second: a free monthly compute allowance gets you started, then you pay for the CPU, memory, and GPU resources your workloads consume. Enterprise plans and startup credits are available, and custom pricing can be discussed with sales.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [fal.ai](https://openaitools.app/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Extremely fast serverless execution optimized specifically for generative media models rather than general Python code. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators. | [.md](https://openaitools.app/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Focuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [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) |
| 5 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach. | [.md](https://openaitools.app/tool/nebius.md) |
| 6 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 7 | [DeepInfra](https://openaitools.app/tool/deep-infra) | 457,810 | -8.9% | Paid | Low-cost serverless inference APIs for 200+ open models | [.md](https://openaitools.app/tool/deep-infra.md) |
| 8 | [Lightning AI](https://openaitools.app/tool/lightning-ai) | 272,562 | -12.3% | Freemium, Paid, Contact for Pricing | Provides integrated development studios and training workflows, but with less granular serverless function orchestration. | [.md](https://openaitools.app/tool/lightning-ai.md) |
| 9 | [Novita AI](https://openaitools.app/tool/novita-ai) | 271,371 | -10.4% | Paid | Combines ready-to-use model APIs and serverless GPU jobs, with simpler API consumption than custom Modal apps. | [.md](https://openaitools.app/tool/novita-ai.md) |
| 10 | [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) |

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

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