Anyscale records 49,779 monthly visits with -23.2% month-over-month growth and Paid, Contact for Pricing pricing. Modal records 1,196,021 monthly visits with +30.2% growth and Freemium, Contact for Pricing pricing.
Managed Ray platform for scaling AI workloads
Serverless cloud infrastructure for AI and data workloads
| Dimension / Metric | | |
|---|---|---|
| Official Domain | anyscale.com | modal.com |
| Pricing Model | Paid, Contact for Pricing | Freemium, Contact for Pricing |
| Monthly Visits | 49.78K (49,779) | 1.2M (1,196,021) |
| MoM Traffic Delta | -15K (-23.2%) | +277.18K (+30.2%) |
| Primary Market & Share | 🇺🇸 United States (35.2%) | 🇺🇸 United States (43.9%) |
| Direct Visits / mo | 28.63K | 845.64K |
| User Rating | 4.6 | 4.8 |
| Supported Platforms | Website | Website |
Managed Ray platform for scaling AI workloads
Run Ray jobs, services, and libraries on managed infrastructure across thousands of nodes without operating the cluster yourself.
Orchestrate multi-GPU and multi-node training with elastic scaling, last-mile data preprocessing, and GPU observability built in.
Build pipelines that download, filter, and transform video, image, text, and audio data ahead of training.
Parallelize embedding generation and batch inference for search, retrieval, and downstream training workloads.
Serverless cloud infrastructure for AI and data workloads
Write plain Python, attach GPUs or containers, and deploy HTTPS endpoints that autoscale with traffic and scale to zero when idle.
Launch isolated, secure environments for coding agents, RL rollouts, and untrusted code, with sub-second starts and support for over a million concurrent sandboxes.
Run fine-tunes, LoRA, full training, and reinforcement learning on elastic single or multi-node GPU capacity with no quota requests.
Serve LLMs and image, video, or audio models through OpenAI-compatible endpoints, or bring your own inference stack and let Modal handle the infrastructure.
SpecialistExtremely fast serverless execution optimized specifically for generative media models rather than general Python code.
SpecialistExtremely fast serverless execution optimized specifically for generative media models rather than general Python code.
Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators.
Provides flexible GPU infrastructure and serverless endpoints, though less focused on pure Python function decorators.
SpecialistFocuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution.
SpecialistFocuses heavily on managed open-source model inference APIs rather than arbitrary custom container execution.
Rent cloud GPUs by the second from a global marketplace
Rent cloud GPUs by the second from a global marketplace
Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach.
Delivers robust enterprise GPU clusters and managed inference, requiring more infrastructure setup than Modal's serverless approach.
Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal.
Easier model packaging via Cog, but offers less arbitrary serverless Python container execution than Modal.
SpecialistDistributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistDistributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistLow-cost serverless inference APIs for 200+ open models
Provides integrated development studios and training workflows, but with less granular serverless function orchestration.
Provides integrated development studios and training workflows, but with less granular serverless function orchestration.
SpecialistCombines ready-to-use model APIs and serverless GPU jobs, with simpler API consumption than custom Modal apps.
SpecialistGigawatt-scale AI compute, built and operated end to end
SpecialistLow-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
SpecialistLow-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
