InoCloud provides an elastic, distributed training platform that lets AI teams assemble network‑connected GPU clusters to train any model or run any LLM, with built‑in Ollama runtimes for popular open‑source models. The service auto‑scales resources to cut compute costs by up to 50 % and offers a web‑based dashboard for provisioning, monitoring, and managing jobs, while keeping all data within EU‑hosted infrastructure for GDPR compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Training large AI models and running LLM inference typically requires expensive, centralized GPU clusters and complex orchestration, making it costly and time‑consuming for organizations that lack in‑house infrastructure. Additionally, many providers store data outside the EU, raising compliance and privacy concerns for European users.
Solution
InoCloud offers an elastic, distributed training platform that lets users assemble network‑connected GPU clusters—e.g., servers equipped with multiple NVIDIA L40 GPUs—to train any AI model or run any LLM efficiently. The platform abstracts cluster management, automatically scaling resources to reduce training time and cut compute costs by up to 50 %. It integrates Ollama to provide ready‑to‑run inference for popular models such as DeepSeek R1, LLaMA, Mistral, and Gemma. All data processing stays within EU borders, ensuring compliance with regional privacy regulations. Users access the service through a web portal where they can provision clusters, monitor jobs, and retrieve results without handling low‑level hardware setup.
Target Audience
Primary customers are AI research teams, data‑science groups, and enterprises in Europe that need scalable model training or LLM inference without investing in dedicated GPU farms.
Features
- Elastic distributed training engine that auto‑scales GPU nodes across multiple servers
- Support for any AI model and LLM, with pre‑configured Ollama runtimes for popular open‑source models
- Cost‑optimization algorithms that target up to 50 % reduction in compute spend compared to single‑node training
- EU‑hosted infrastructure guaranteeing data residency and adherence to GDPR and local privacy standards
- Dashboard for real‑time job monitoring, resource utilization, and performance metrics
- Simple web‑based provisioning and management interface, eliminating the need for custom orchestration scripts