ClearGPT — GenAI App Engine by ClearML

Clean interface for managing large open models locally.

AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.

In practice, the platform lets teams deploy any LLM with a single click — plugging in a custom or fine-tuned model from Hugging Face and serving it through engines such as vLLM, llama.cpp or Triton — then exposing it through secure API endpoints with role-based access control. Dynamic traffic routing handles load balancing and data flow across deployed apps, endpoints and agents, while horizontal scale-out of inference compute can be triggered on the fly to keep active endpoints available during peak demand. Monitoring covers request volume, latency, memory usage, and CPU, GPU, I/O and network utilisation.

Cost efficiency is a central theme: ClearML's unified memory technology keeps idle models in CPU memory and reserves GPU power for models that are actively serving traffic, so GenAI apps stay available without paying for dedicated GPUs around the clock. Projects can start on minimal GPU compute and later be lifted and shifted to larger clusters, with ClearML preserving and restoring state so the migration does not require rebuilding the app. The platform is used across research labs and industries including financial services, defence, telco, semiconductors and the public sector, and it is licensed commercially with a free tier for getting started.