# Huddle01 Cloud Manage cloud workloads and access multiple AI models through one platform. - Findings24: - Site: - Preços: Paid - Categorias: Plataformas de inferência de IA, Nuvem de GPU ## O que é Huddle01 Cloud? Huddle01 Cloud is a developer platform for deploying virtual machines, container workloads, Kubernetes clusters, and GPU jobs. Its console provides workspaces for managing resources, usage, and billing; APIs support programmatic infrastructure access. The platform also provides AI Inference, an OpenAI-compatible service that routes requests to supported model providers. Developers can change the model identifier within the same integration and receive generated output and usage metadata. This is a distinct service from renting a GPU to run your own workload. ## O que Huddle01 Cloud pode fazer? ### Virtual-machine management Choose instance capacity and region, configure SSH access, and manage virtual servers through the dashboard. ### Managed containers and Kubernetes Deploy Docker images with configuration or create Kubernetes clusters with selected master and worker nodes and automatic worker scaling. ### GPU deployment Select available GPU offers, images, storage, and region through the console or API, then connect through SSH. Preconfigured CUDA images support training workloads. ### Unified model inference Use one Huddle01 API key and OpenAI-compatible endpoint for supported models from providers including OpenAI, Anthropic, Google, and DeepSeek. ### Networking and workload visibility Use private networking, firewall rules, load balancing, resource metrics, and usage dashboards to operate deployed services. ## Casos de uso ### Host application backends Deploy virtual servers near users and add container orchestration or load balancing as the application grows. ### Develop model-powered applications Build chat, summarization, or coding workflows and compare supported models through the same inference integration. ### Run GPU experiments Rent available GPU capacity for training or computation with usage-based billing and a defined minimum charge. ## Perguntas frequentes ### What does a basic VM cost? Anton-2, with 2 vCPUs and 4 GB RAM, is listed at US$0.031 per hour. Block storage is charged separately at US$0.0000834 per GB per hour. Kubernetes master and worker nodes use VM rates; the master node is billable despite no additional control-plane surcharge. General VM and Kubernetes resource charges accrue with use and are invoiced at the end of the calendar month; GPU credits use a separate prepaid balance. ### What are the GPU payment conditions? GPU deployment requires at least US$20 in prepaid GPU credits. Each deployment has a ten-minute minimum charge, then per-second billing. Prices and availability depend on the live offer and configuration. A zero balance triggers a 30-minute top-up grace period before suspension. ### How is inference charged? Inference uses model-specific input and output token rates. It requires a Huddle01 API key and supported model identifier; renting GPU hardware is not required for this managed inference workflow. ### What remains my responsibility? Customers remain responsible for guest operating-system patches, application security, credentials, and external application-data backups. Managed infrastructure does not replace those tasks. ## Informações rápidas - **Type**: Cloud platform with managed AI inference - **Users**: Developers and application teams - **Access**: Console, APIs, and SSH for deployed servers - **Payment model**: Metered resource and inference charges; prepaid GPU credits