# GreenNode vs Lightning AI

GreenNode records 75,996 monthly visits with +28.1% month-over-month growth and Paid pricing. Lightning AI records 272,562 monthly visits with -12.3% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [GreenNode](https://openaitools.app/tool/greennode) | [Lightning AI](https://openaitools.app/tool/lightning-ai) |
| :--- | :--- | :--- |
| Website URL | https://greennode.ai | https://lightning.ai |
| Categories | Other | AI Developer Tools, Large Language Models (LLMs), AI API, AI Models |
| Pricing Model | Paid | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 75,996 | 272,562 |
| MoM Growth Rate | +28.1% | -12.3% |
| Primary Market | Vietnam | United States |
| Direct Visits | 41,903 | 142,087 |
| Review Score | 4.1 | 4.7 |
| 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)

## Lightning AI

Lightning AI gives AI teams an opinionated, batteries-included cloud for the whole modeling lifecycle. Instead of stitching together a notebook host, a scheduler and a serving layer, you get browser or SSH Studios that come pre-configured with CUDA, PyTorch and the Lightning ecosystem tooling, plus the ability to attach GPUs by the second and scale a job into a multi-node training run.

The platform is strongest where the plumbing usually hurts. Data prep, experiment tracking, hyperparameter sweeps, distributed training, evaluation and inference are all first-class steps in the same interface, and the same environment travels between them. That continuity is why companies use it for long-running research programs as well as for shipping inference endpoints.

Operationally it is aimed at professional teams rather than solo tinkerers. Role-based access, teamspaces, budget and spending controls, autosleep for idle compute, audit logs, SSO and SOC2/HIPAA posture are available on higher tiers, and enterprises can bring their own cloud account, VPC or on-prem cluster. The creators of PyTorch Lightning also ship the surrounding open-source stack, including LitGPT, LitServe, Fabric and TorchMetrics, which keeps the paid cloud close to the tooling many practitioners already use.

**Pricing & Plans:** Free tier with up to 30 compute credits and 50 free GPU hours to start; Pro from about $20/month billed annually ($50 monthly) with 100-240 credits; Teams from about $119/month per user billed annually ($140 monthly) with 600 credits; Enterprise is custom-quoted with BYOC, SAML/SSO and an uptime SLA. Compute is pay-as-you-go by the second (H200 from roughly $4.50/hr, H100 from roughly $5.45/hr, T4 from roughly $0.55/hr).

- **On-demand GPU and TPU machines:** Spin up single GPUs, full nodes or reserved clusters by the second, selectable from T4 and L4 up to A100, H100, H200, B200 and TPUs, with no long-term contract required.
- **Cloud Studios with IDE, notebook and SSH:** Ready-to-code environments with CUDA, PyTorch and common libraries preinstalled, usable from the browser, a local IDE or a terminal, with automatic sleep to stop idle spend.
- **Multi-node training and data prep:** Launch distributed training jobs and large-scale data preparation across multi-node GPU and high-CPU machines, with interruptible instances at up to about 80% off.
- **Model deployment and APIs:** Turn a checkpoint into an endpoint or app without rewriting infrastructure code, and host public app links or private model APIs with configurable rate limits.
- **Team and enterprise governance:** Teamspaces, role-based access, per-project budgets, real-time cost tracking, audit logs, SSO, VPC deployment and bring-your-own-cloud on Kubernetes or Slurm.

**Strengths:** Full lifecycle coverage: prototyping, data prep, distributed training, evaluation and inference in one platform; Guaranteed on-demand capacity with per-second billing and no long-term GPU commitments; Strong open-source continuity via the PyTorch Lightning ecosystem, so local work transfers cleanly; Mature enterprise controls including SSO, RBAC, SOC2/HIPAA posture, VPC and bring-your-own-cloud

**Limitations:** GPU hours are billed separately from plan credits beyond the included allowance, so heavy training costs add up quickly; The richest features (24/7 Studios, multi-node training, SSO, BYOC) sit behind Pro, Teams or Enterprise tiers; Free-tier Studios restart every four hours, which is limiting for long interactive sessions

[Profile (Markdown)](https://openaitools.app/tool/lightning-ai.md)

## Frequently Asked Questions

### How do GreenNode and Lightning AI compare in monthly traffic?

GreenNode has 75,996 monthly visits, while Lightning AI has 272,562. 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%; Lightning AI has -12.3%.

### 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. Lightning AI: Freemium, Paid, Contact for Pricing. Free tier with up to 30 compute credits and 50 free GPU hours to start; Pro from about $20/month billed annually ($50 monthly) with 100-240 credits; Teams from about $119/month per user billed annually ($140 monthly) with 600 credits; Enterprise is custom-quoted with BYOC, SAML/SSO and an uptime SLA. Compute is pay-as-you-go by the second (H200 from roughly $4.50/hr, H100 from roughly $5.45/hr, T4 from roughly $0.55/hr).

## 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 | Optimizes serverless pipelines specifically for generative media models, but lacks general-purpose PyTorch training studios. | [.md](https://openaitools.app/tool/fal-ai.md) |
| 2 | [RunPod](https://openaitools.app/tool/runpod) | 2,881,043 | +5.9% | Paid | Provides flexible on-demand GPU rentals and pod infrastructure, but lacks Lightning's integrated PyTorch training studios. | [.md](https://openaitools.app/tool/runpod.md) |
| 3 | [Together AI](https://openaitools.app/tool/together-ai) | 1,645,930 | +64.9% | Freemium, Paid | Delivers high-performance serverless APIs for open-source models, but focuses less on raw GPU infrastructure rentals. | [.md](https://openaitools.app/tool/together-ai.md) |
| 4 | [Vast.ai](https://openaitools.app/tool/vast-ai) | 1,257,554 | +2.8% | Paid | Rents inexpensive peer-to-peer GPU hardware globally, but offers less reliable uptime and managed ML tooling. | [.md](https://openaitools.app/tool/vast-ai.md) |
| 5 | [Modal](https://openaitools.app/tool/modal-com) | 1,196,021 | +30.2% | Freemium, Contact for Pricing | Executes serverless Python containers instantly for AI pipelines, but provides less traditional persistent VM workspace control. | [.md](https://openaitools.app/tool/modal-com.md) |
| 6 | [Nebius](https://openaitools.app/tool/nebius) | 1,145,711 | +10.7% | Paid, Contact for Pricing | Offers enterprise-grade bare-metal NVIDIA clusters for heavy workloads, but requires more manual cluster configuration. | [.md](https://openaitools.app/tool/nebius.md) |
| 7 | [Replicate AI](https://openaitools.app/tool/replicate-ai) | 904,038 | -8.4% | Paid | Simplifies model deployment and fine-tuning via standardized APIs, but offers less granular control over raw GPU clusters. | [.md](https://openaitools.app/tool/replicate-ai.md) |
| 8 | [Fireworks](https://openaitools.app/tool/fireworks-ai) | 659,687 | +6% | Contact for Pricing | Provides ultra-fast inference for open-weight foundation models, but is less suited for custom distributed model training workflows. | [.md](https://openaitools.app/tool/fireworks-ai.md) |
| 9 | [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) |
| 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) |

---
Source: https://openaitools.app/compare/greennode-vs-lightning-ai

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