Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud
ClearML: Provides robust MLOps tools for managing GPU clusters and model deployments, but focuses on production rather than tutorials. ApX Machine Learning records 252,389 monthly visits with -6.5% month-over-month growth and Freemium pricing. ClearML records 20,123 monthly visits with -60.9% growth and Contact for Pricing pricing.

Open AI infrastructure platform for managing GPU clusters and shipping models to production
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | apxml.com | clear.ml |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 252.39K (252,389) | 20.12K (20,123) |
| MoM Traffic Delta | -17.42K (-6.5%) | -31.39K (-60.9%) |
| Primary Market & Share | 🇺🇸 United States (14.2%) | 🇩🇪 Germany (27.4%) |
| Direct Visits / mo | 67.58K | 6.67K |
| User Rating | 4.2 | 4.3 |
| Supported Platforms | Website | Website |
VRAM, throughput and GPU cost calculators plus courses for open-weight LLM deployment
Estimates weight and KV cache memory for a chosen model variant, context length, batch size and quantization so you know whether a GPU will actually fit the workload.
Projects time-to-first-token and tokens-per-second throughput per hardware configuration to help you size for real user traffic.
Converts memory and performance estimates into hourly and per-token economics across hardware configurations.
Reference pages for 500+ model variants and documented hardware benchmarks, keeping sizing inputs in one place.

Open AI infrastructure platform for managing GPU clusters and shipping models to production
Connect and govern GPU clusters across on-prem, cloud, and hybrid setups with multi-tenancy, RBAC, quota management, fractional GPUs, and priority-based scheduling.
A builder workbench with an integrated development environment plus experiment tracking, data integration, dashboards, pipelines, model repository, and CI/CD integration.
Deploy LLMs onto existing clusters with handled networking, authentication, and security, so teams can launch secure model APIs with minimal manual configuration.
Granular cost tracking by compute hours, storage, and API calls lets IT teams allocate spend back to the projects and departments that consume it.
Free / Open-sourceRun and build with open AI models locally or in the cloud
Free / Open-sourceRun and build with open AI models locally or in the cloud

SpecialistOffers comprehensive, structured courses in data science and AI, though it lacks specialized hardware VRAM estimation tools.
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
Free / Open-sourceOpen-source model and dataset hub with one-click online demos
SpecialistProvides hands-on browser-based Linux and DevOps labs, ideal for practicing infrastructure deployment skills.
SpecialistProvides hands-on browser-based Linux and DevOps labs, ideal for practicing infrastructure deployment skills.

AI data infrastructure for building production-grade models
AI data infrastructure for building production-grade models

Track, evaluate, and ship AI models and agents in one connected environment.
Track, evaluate, and ship AI models and agents in one connected environment.

Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceAgent observability, evaluation, and continuous improvement for production AI

Free / Open-sourceLabel any data. Evaluate any AI.

Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents
Free / Open-sourceBuild, simulate, evaluate and monitor self-improving AI agents

Free / Open-sourceEvaluate, monitor, and govern your AI applications in production
Free / Open-sourceEvaluate, monitor, and govern your AI applications in production

SpecialistStreamlines prompt management and LLM application tracing, complementing open-weight deployment workflows.
SpecialistStreamlines prompt management and LLM application tracing, complementing open-weight deployment workflows.

Free / Open-sourceServes as an open-source workspace for evaluating and deploying AI agents, bridging theory and production.
Free / Open-sourceServes as an open-source workspace for evaluating and deploying AI agents, bridging theory and production.