# Anyscale vs GreenNode Anyscale records 49,779 monthly visits with -23.2% month-over-month growth and Paid, Contact for Pricing pricing. GreenNode records 75,996 monthly visits with +28.1% growth and Paid pricing. | Metric | [Anyscale](https://openaitools.app/tool/anyscale-com) | [GreenNode](https://openaitools.app/tool/greennode) | | :--- | :--- | :--- | | Website URL | https://anyscale.com | https://greennode.ai | | Categories | AI Developer Tools, Large Language Models (LLMs), AI App Builder, AI Workflow | Other | | Pricing Model | Paid, Contact for Pricing | Paid | | Monthly Visits | 49,779 | 75,996 | | MoM Growth Rate | -23.2% | +28.1% | | Primary Market | United States | Vietnam | | Direct Visits | 28,629 | 41,903 | | Review Score | 4.6 | 4.1 | | Saved Count | 3 | 0 | | Supported Platforms | Website | Website | ## Anyscale Anyscale packages the open-source Ray project into a managed service so that engineering teams do not have to operate the cluster layer themselves. The pitch is production-scale AI on your own cloud GPUs: you bring the compute, Anyscale handles orchestration, scaling, and the operational work of running Ray workloads reliably. The company was founded by the creators of Ray and remains the primary commercial steward of the project. The platform is organized around the workloads that dominate modern AI development rather than around a single product. Multimodal data curation runs large pipelines over video, images, text, and audio; distributed model training orchestrates GPU clusters with elastic scaling and last-mile preprocessing; batch embedding generation parallelizes embedding jobs for retrieval and search; and post-training supports RL-style frameworks such as SkyRL and veRL natively built on Ray. Existing libraries like PyTorch, vLLM, SGLang, and XGBoost can be scaled with Python APIs instead of rewrites. Operationally, Anyscale emphasizes fine-grained hardware allocation, so different parts of a workload can claim CPUs, GPUs, TPUs, or accelerator racks independently, plus efficient distributed communication through Ray's in-memory object store or RDMA. Multi-cloud orchestration, compute governance, and workload observability round out the management story, and a free tier with starter credits lowers the cost of evaluating the platform. **Pricing & Plans:** Anyscale is a paid, usage-based platform with no permanent free plan; it typically provides starter credits and a free trial for evaluation, and enterprise agreements are quoted through sales based on compute usage and support needs. Because pricing depends on cloud and GPU consumption, exact figures should be confirmed with the vendor. - **Managed Ray clusters:** Run Ray jobs, services, and libraries on managed infrastructure across thousands of nodes without operating the cluster yourself. - **Distributed training at scale:** Orchestrate multi-GPU and multi-node training with elastic scaling, last-mile data preprocessing, and GPU observability built in. - **Multimodal data curation:** Build pipelines that download, filter, and transform video, image, text, and audio data ahead of training. - **Batch inference and embeddings:** Parallelize embedding generation and batch inference for search, retrieval, and downstream training workloads. - **Open-source library compatibility:** Scale PyTorch, vLLM, SGLang, and XGBoost workloads with Python APIs rather than rewriting code for the platform. **Strengths:** Built by the creators of Ray, so the managed layer closely tracks the open-source project; Handles data, training, and inference workloads on one distributed runtime; Works with existing PyTorch, vLLM, SGLang, and XGBoost code; Runs in your own cloud account with multi-cloud orchestration and governance **Limitations:** No permanent free tier, so evaluation is time-limited before real spend; Pricing is consumption-based and hard to forecast without modeling GPU usage; Most valuable to teams already committed to Ray and scale, less so for small projects [Profile (Markdown)](https://openaitools.app/tool/anyscale-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 Anyscale and GreenNode compare in monthly traffic? Anyscale has 49,779 monthly visits, while GreenNode has 75,996. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Anyscale has a month-over-month growth rate of -23.2%; GreenNode has +28.1%. ### How does pricing compare? Anyscale: Paid, Contact for Pricing. Anyscale is a paid, usage-based platform with no permanent free plan; it typically provides starter credits and a free trial for evaluation, and enterprise agreements are quoted through sales based on compute usage and support needs. Because pricing depends on cloud and GPU consumption, exact figures should be confirmed with the vendor. 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 | [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) | | 7 | [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) | | 8 | [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) | | 9 | [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) | | 10 | [TiDB Cloud](https://openaitools.app/tool/tidb) | 61,010 | -17.9% | Contact for Pricing | Elastic, MySQL-compatible distributed SQL with HTAP analytics built in | [.md](https://openaitools.app/tool/tidb.md) | --- Source: https://openaitools.app/compare/anyscale-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)