GreenNode is a one-stop AI cloud infrastructure provider, offering high-performance NVIDIA GPU solutions for startups and enterprises. It provides instant access to cutting-edge resources like H100 GPUs, scalable infrastructure, and expert AI Lab support. Focused on cost-effectiveness and performance, GreenNode helps accelerate model training, fine-tuning, and inference, with a strong presence in Southeast Asia.
Vast.ai is a leading GPU cloud platform offering on-demand access to a vast network of GPUs for AI and machine learning workloads. It provides developers and enterprises with high-performance computing at significantly lower costs—up to 80% less than traditional cloud providers—through a transparent, pay-as-you-go marketplace.
GreenNode is a one-stop AI cloud infrastructure provider, offering high-performance NVIDIA GPU solutions for startups and enterprises. It provides instant access to cutting-edge resources like H100 GPUs, scalable infrastructure, and expert AI Lab support. Focused on cost-effectiveness and performance, GreenNode helps accelerate model training, fine-tuning, and inference, with a strong presence in Southeast Asia.
Vast.ai is a leading GPU cloud platform offering on-demand access to a vast network of GPUs for AI and machine learning workloads. It provides developers and enterprises with high-performance computing at significantly lower costs—up to 80% less than traditional cloud providers—through a transparent, pay-as-you-go marketplace.
| Feature | GreenNode | Vast.ai |
|---|---|---|
| Primary category | Model Training | Gpu Rental |
| Added | 2025-08-08 | 2025-08-14 |
| Pricing | Paid | Paid |
| Official website | greennode.ai | vast.ai |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 18.1K | 1.4M |
| Monthly growth | -2.6% | 17.1% |
| Favorites | 93 | 109 |
| Details | View details | View details |
Compare GreenNode and Vast.ai by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the GreenNode vs Vast.ai monthly traffic comparison, GreenNode currently shows 18.1K visits and Vast.ai shows 1.4M; Vast.ai has about 75.1 times the visible traffic of GreenNode, an absolute difference of about 1.3M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇻🇳Vietnam | 44.55% | 8.1K |
| 🇺🇸United States | 31.46% | 5.7K |
| 🇮🇳India | 11.16% | 2K |
| 🇩🇪Germany | 7.2% | 1.3K |
| 🇸🇬Singapore | 5.63% | 1K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 99.21% | 18K |
| Referral | 0.79% | 143 |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 38.98% | 530.3K |
| 🇨🇦Canada | 17.55% | 238.7K |
| 🇷🇺Russia | 16.16% | 219.8K |
| 🇮🇳India | 14.03% | 190.9K |
| 🇮🇩Indonesia | 13.28% | 180.7K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 96.48% | 1.3M |
| Referral | 2.61% | 35.5K |
| 0.91% | 12.4K |
This in-depth GreenNode vs Vast.ai comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. GreenNode is primarily listed under “Model Training”, while Vast.ai is primarily listed under “Gpu Rental”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (GreenNode: Model Training; Vast.ai: Gpu Rental); Monthly visits (GreenNode: 18.1K; Vast.ai: 1.4M); Monthly growth (GreenNode: -2.6%; Vast.ai: 17.1%); Favorites (GreenNode: 93; Vast.ai: 109); Website (GreenNode: greennode.ai; Vast.ai: vast.ai). These facts are more useful for selection than brand visibility alone.
In the GreenNode vs Vast.ai monthly traffic comparison, GreenNode currently shows 18.1K visits and Vast.ai shows 1.4M; Vast.ai has about 75.1 times the visible traffic of GreenNode, an absolute difference of about 1.3M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Vast.ai first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
GreenNode and Vast.ai currently overlap in shared categories: Cloud Computing; shared tags: AI infrastructure, cloud computing, deep learning, inference, machine learning, and model training. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
GreenNode's unique categories/tags are Model Training, Gpu Rental, AI startup, distributed training, GPU cloud, HPC, llm, and NVIDIA H100; Vast.ai's are Gpu Rental, Api, API, cost-effective GPU, developer tools, GPU rental, and scalable computing. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
GreenNode has no verified rating, 0 comments, 93 favorites, and 114 likes；Vast.ai has no verified rating, 0 comments, 109 favorites, and 106 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put GreenNode on the priority trial list when the task aligns with “Model Training” and especially Model Training, Gpu Rental, AI startup, distributed training, GPU cloud, and HPC. This follows recorded positioning and does not imply unlisted capabilities are absent.
GreenNode also currently records: pricing is paid, product type is website, 18.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Vast.ai on the priority trial list when the task aligns with “Gpu Rental” and especially Gpu Rental, Api, API, cost-effective GPU, developer tools, and GPU rental. This follows recorded positioning and does not imply unlisted capabilities are absent.
Vast.ai also currently records: pricing is paid, product type is website, 1.4M verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in GreenNode and Vast.ai, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Fluidstack is a leading AI cloud platform providing high-performance, dedicated GPU clusters for training and serving frontier AI models. It offers rapid deployment of thousands of GPUs, fully managed services with 24/7 expert support, and transparent pricing with zero egress fees, empowering AI teams to scale without infrastructure friction.
Enterprise Solutions
Nebius is a high-performance cloud platform specifically engineered for AI and machine learning. It provides access to the latest NVIDIA GPUs, scalable clusters with InfiniBand networking, and fully managed services like Kubernetes and Slurm, enabling seamless AI model training, fine-tuning, and inference at any scale.
Machine Learning
Cirrascale provides high-performance, dedicated GPU cloud services tailored for large-scale AI, deep learning, and High-Performance Computing (HPC). It offers access to the latest NVIDIA GPU hardware and scalable infrastructure, enabling organizations to train massive models and run complex computational workloads efficiently.
Model Training
Thunder Compute offers an ultra-low-cost GPU cloud platform designed for AI and machine learning developers. It provides on-demand GPU instances like the NVIDIA A100 and T4 at prices up to 80% lower than major cloud providers. With features like one-click setup, VS Code integration, and seamless scalability, it dramatically simplifies the development workflow, from prototyping to production, allowing developers to focus on building models rather than managing infrastructure.
Machine Learning
Gmi Cloud is a high-performance GPU cloud platform designed for scalable AI training and inference. It provides on-demand access to top-tier NVIDIA GPUs, an optimized inference engine for low latency, and a cluster engine for streamlined MLOps, enabling developers and enterprises to build, deploy, and scale AI applications efficiently and cost-effectively.
Mlops
Nebius is a high-performance cloud platform specifically engineered for demanding AI and Machine Learning workloads. It provides scalable access to the latest NVIDIA GPUs, from single instances to massive clusters, complemented by a suite of managed services and an integrated AI Studio to streamline the entire ML lifecycle from training to inference.
Gpu Cloud
Juice is a software-only platform that enables GPU-over-IP, allowing you to access, share, and pool GPU resources across any standard network. It decouples GPUs from physical machines, turning any CPU node into a GPU-accelerated system on demand, optimizing utilization and significantly reducing costs for AI and graphics workloads without code changes.
Gpu Virtualization
GPUX is a serverless, decentralized GPU cloud platform for fast and affordable AI model inference. It allows developers to run models via API and enables GPU owners to earn money by contributing their hardware to a P2P network.
Model Deployment
NeocloudX is an innovative marketplace that commoditizes GPU compute capacity, allowing users to buy, sell, and trade high-performance computing resources like NVIDIA H100 SXM GPUs at true market rates. It offers instant access to bare metal performance via a browser-based console, enabling significant cost savings compared to traditional cloud providers.
Machine Learning Infrastructure
Massed Compute is a cloud platform providing on-demand, high-performance NVIDIA GPUs and CPUs. It offers flexible, scalable, and affordable computing power for AI development, machine learning, and big data analysis without long-term contracts, targeting innovators and developers.
Machine Learning
HyperAI is a European-based, hyper-local GPU cloud platform designed to make enterprise-grade AI computing accessible. It offers high-performance NVIDIA A100 and H100 GPUs through flexible plans, including spot instances and dedicated servers. With a focus on low latency, data compliance, and a developer-friendly environment featuring a pre-installed Nvidia AI SDK, HyperAI empowers developers and businesses to build, train, and deploy complex AI models efficiently and securely.
Machine Learning
Inferless is a serverless GPU platform designed for developers to deploy machine learning models in minutes. It eliminates infrastructure management, offering automatic scaling from zero to handle spiky workloads. The platform is optimized for lightning-fast cold starts and cost-efficiency, allowing users to save up to 90% on GPU bills by paying only for what they use.
Machine Learning Deployment
Runpod is a cloud platform designed for AI and machine learning, offering scalable GPU compute for deploying, training, and running AI models. It provides serverless GPUs, pre-built templates, and cost-effective pricing to simplify the entire AI development workflow, from idea to production.
Machine Learning
Unsloth is a high-performance open-source library designed to dramatically accelerate the fine-tuning of Large Language Models (LLMs). It enables training up to 30x faster while using up to 90% less memory, making advanced AI model customization accessible on standard hardware.
Machine Learning
AI Studio is an all-in-one AI learning and development community by Baidu, powered by the PaddlePaddle deep learning platform. It provides developers with a free online programming environment, GPU computing power, extensive open-source models, and datasets to build, train, and deploy AI applications seamlessly.
Notebooks
