HexGrid.cloud

HexGrid.cloud is a private AI cloud for deploying models, renting dedicated GPUs, and running production AI workloads without managing infrastructure. Managed Inference: For managed inference, teams can choose a model, configure precision and context length, select the appropriate GPU, and launch a secure OpenAI-compatible HTTPS endpoint in minutes. HexGrid.cloud handles GPU compatibility, CUDA and PyTorch dependencies, inference-engine configuration, quantization, memory allocation, SSL, authentication, observability, and rate limiting. Compute Infrastructure: For teams that need full infrastructure control, HexGrid.cloud also provides dedicated GPU instances with SSH and root access. Developers can bring their own containers, frameworks, notebooks, training code, checkpoints, and CUDA workloads for model training, fine-tuning, batch processing, and custom compute. ComfyUI Deployments: HexGrid.cloud also provides private ComfyUI deployments for generative video and image workflows, with models, checkpoints, VAEs, text encoders, LoRAs, and runtime dependencies provisioned automatically. Teams can run models such as MiniMax, Wan, and LTX on dedicated GPUs while retaining control over custom nodes, workflows, weights, and generated outputs. Infrastructure is available across US, EU, and APAC regions with GPU options ranging from cost-efficient RTX instances to L40S, H100, H200, B200, and other high-memory accelerators. Workloads run on dedicated hardware with private data and model isolation. Instead of stitching together GPU providers, CUDA environments, model servers, storage, HTTPS gateways, certificates, authentication, monitoring, and scaling infrastructure, HexGrid.cloud provides a unified platform for going from GPU or model selection to a running AI workload in minutes.