
Genesis Cloud is a European-based GPU cloud provider specializing in AI and HPC workloads. They offer access to the latest NVIDIA GPUs, including H100, H200, and B200, at competitive prices, claiming to be up to 80% less expensive than legacy providers and offering up to 35x more performance for LLMs and GenAI. Their infrastructure is built on NVIDIA's reference architecture, emphasizing security, reliability, and a 99% uptime guarantee. Genesis Cloud utilizes green data centers, powered by 100% renewable energy, and offers advanced networking and storage solutions designed for multi-node AI training and inference. They also provide an MLOps platform integrated with ClearML to streamline AI development and deployment. Their business model is a pay-as-you-go or reserved instance approach for GPU compute, storage, and network resources.

Genesis Cloud is a European-based GPU cloud provider specializing in AI and HPC workloads. They offer access to the latest NVIDIA GPUs, including H100, H200, and B200, at competitive prices, claiming to be up to 80% less expensive than legacy providers and offering up to 35x more performance for LLMs and GenAI. Their infrastructure is built on NVIDIA's reference architecture, emphasizing security, reliability, and a 99% uptime guarantee. Genesis Cloud utilizes green data centers, powered by 100% renewable energy, and offers advanced networking and storage solutions designed for multi-node AI training and inference. They also provide an MLOps platform integrated with ClearML to streamline AI development and deployment. Their business model is a pay-as-you-go or reserved instance approach for GPU compute, storage, and network resources.
What they do: GPU-first public cloud for AI training, inference and HPC
Headquarters: Munich, Germany
Key tech: NVIDIA GPUs (H100, H200, B200), NVIDIA HGX reference architecture
Sustainability: Data centers powered by 100% renewable energy
Business model: Pay-as-you-go and reserved instances for GPU compute, storage, and network
Cost and performance barriers for large-scale AI training, inference and HPC workloads
2018
Cloud infrastructure / AI infrastructure
6600000.00
Last recorded funding date and total funding amount provided in evidence
“Marco Streng identified as a shareholder & advisor; additional institutional investors not published on company site”