exe.dev records 60,103 monthly visits with -26.4% month-over-month growth and Freemium, Paid pricing. Nebius records 1,145,711 monthly visits with +10.7% growth and Paid, Contact for Pricing pricing.
Cloud Linux VMs built for developers and their AI agents
An AI-native cloud built from silicon to API for training, tuning, and serving models
| Dimension / Metric | | |
|---|---|---|
| Official Domain | exe.dev | nebius.com |
| Pricing Model | Freemium, Paid | Paid, Contact for Pricing |
| Monthly Visits | 60.1K (60,103) | 1.15M (1,145,711) |
| MoM Traffic Delta | -21.61K (-26.4%) |
| +110.83K (+10.7%) |
| Primary Market & Share | 🇺🇸 United States (69.4%) | 🇺🇸 United States (46.8%) |
|---|
| Direct Visits / mo | 40.78K | 447.89K |
|---|
| User Rating | 4.3 | 4.5 |
|---|
| Supported Platforms | Website | Website |
|---|
Cloud Linux VMs built for developers and their AI agents
SSH into Ubuntu-compatible machines with root access, apt and systemd, then keep them running as long-lived servers instead of short-lived containers.
Buy vCPU and RAM once, then create as many VMs as you need inside the pool and fork them quickly for parallel agent work.
Expose internal apps privately or publish them publicly on *.exe.xyz subdomains, with auth and secret management handled for you.
Attach OpenAI, Anthropic, xAI, Fireworks or Deepgram keys so agents running on your VMs have model access configured automatically.
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.
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Offers flexible on-demand GPU rentals and serverless pods, but focuses more on flexible developer instances than turnkey enterprise clusters.
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
#3Features a peer-to-peer GPU rental marketplace with lower pricing, though with variable hardware reliability compared to managed infrastructure.
SpecialistExecutes Python workloads and model inference in serverless containers effortlessly, but lacks bare-metal cluster management.
SpecialistProvides exceptionally cheap serverless inference for open models via API, but does not offer raw bare-metal GPU rentals.
SpecialistAI DevOps engineer that deploys and scales your apps
SpecialistProvides interactive development studios and on-demand GPUs for training, but focuses more on PyTorch workflows than raw infrastructure.
SpecialistCombines model APIs and serverless GPU jobs, but lacks the enterprise-grade bare-metal infrastructure orchestration of Nebius.
The low-cost cloud sandbox where AI agents actually live
Specializes in large-scale enterprise data center GPU clusters for heavy training, though less tailored for instant serverless functions.
Self-hosted cloud development environments and AI coding agents for enterprise teams
SpecialistTailored specifically for high-throughput generative media inference pipelines, whereas Nebius targets general GPU compute infrastructure.
Offers flexible on-demand GPU rentals and serverless pods, but focuses more on flexible developer instances than turnkey enterprise clusters.
Provides robust serverless inference APIs and GPU clusters for open-source models, but with less emphasis on raw bare-metal control.
Features a peer-to-peer GPU rental marketplace with lower pricing, though with variable hardware reliability compared to managed infrastructure.
SpecialistExecutes Python workloads and model inference in serverless containers effortlessly, but lacks bare-metal cluster management.
SpecialistAI DevOps engineer that deploys and scales your apps
SpecialistProvides interactive development studios and on-demand GPUs for training, but focuses more on PyTorch workflows than raw infrastructure.
The low-cost cloud sandbox where AI agents actually live
Specializes in large-scale enterprise data center GPU clusters for heavy training, though less tailored for instant serverless functions.
