Nebius records 1,145,711 monthly visits with +10.7% month-over-month growth and Paid, Contact for Pricing pricing. Thunder Compute records 102,147 monthly visits with -29% growth and Paid (per-minute instances, per-second sandboxes) pricing.
An AI-native cloud built from silicon to API for training, tuning, and serving models
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
| Dimension / Metric | | |
|---|---|---|
| Official Domain | nebius.com | thundercompute.com |
| Pricing Model | Paid, Contact for Pricing | Paid (per-minute instances, per-second sandboxes) |
| Monthly Visits | 1.15M (1,145,711) | 102.15K (102,147) |
| MoM Traffic Delta |
| +110.83K (+10.7%) |
| -41.66K (-29%) |
| Primary Market & Share | 🇺🇸 United States (46.8%) | 🇺🇸 United States (53.5%) |
|---|
| Direct Visits / mo | 447.89K | 40.74K |
|---|
| User Rating | 4.5 | 4.4 |
|---|
| Supported Platforms | Website | Website |
|---|
An AI-native cloud built from silicon to API for training, tuning, and serving models
Bare-metal access to NVIDIA GB300, B300, GB200, B200, H200, H100, RTX PRO 6000, and L40S GPUs connected over InfiniBand for training and inference at scale.
A managed inference service for running popular open and frontier models through an API, so applications can add LLM capabilities without owning GPUs.
Built-in Kubernetes, Soperator for Slurm jobs, PostgreSQL, and MLflow give teams a ready-made environment for orchestration, tracking, and experiments.
Choose on-demand, preemptible, or live market-driven spot capacity, or commit to reserved clusters for discounts on long-running workloads.
Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.
Launch RTX A6000, L40, A100 80GB, or H100 SXM machines, often ready to SSH into within minutes, and pay only while they run.
Spin up isolated Ubuntu VMs with or without a GPU for RL rollouts, evals, and CI, billed per second and scaled to zero between runs.
A CLI, VS Code extension, MCP server, and REST API let you drive infrastructure from a terminal, an editor, an AI agent, or your own services.
Save an instance disk as a snapshot and restore it later, so you can pause experiments without leaving machines running.
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
The AI developer cloud for GPU pods, serverless inference and clustering
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
#3Rent cloud GPUs by the second from a global marketplace
Free / Open-sourceServerless cloud infrastructure for AI and data workloads
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
SpecialistProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
Free / Open-sourceOne cloud for 200+ model APIs, agent sandboxes and GPU compute
Gigawatt-scale AI compute, built and operated end to end
SpecialistBuilt on Ray for distributed model training and scaling workloads, but relies on underlying cloud providers rather than owned GPUs.
Private AI cloud for training and inference workloads
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
Rent cloud GPUs by the second from a global marketplace
Free / Open-sourceServerless cloud infrastructure for AI and data workloads
Free / Open-sourceDistributed GPU cloud that orchestrates the world's idle consumer GPUs
Free / Open-sourceThe AI cloud built by the creators of PyTorch Lightning
SpecialistBuilt on Ray for distributed model training and scaling workloads, but relies on underlying cloud providers rather than owned GPUs.
Private AI cloud for training and inference workloads
