Understand resources and requirements
Review available devices, target models and business workloads to clarify resource conditions and deployment needs, informing selection and capacity planning.
About BitCloud
AI inference infrastructure operations
Make every unit of compute count.
BitCloud focuses on AI inference infrastructure. Our products and services span compute resource management, model deployment and inference optimization, and model service access and operations.
We work on the practical engineering challenges between devices, models and applications, helping enterprises and developers plan inference resources, organize deployment and validation, and manage model service access and usage.
Put compute to work for applications
Make deployment and optimization traceable
Organize environment checks, model deployment, baseline testing and optimization retests into a traceable workflow. Use test results to assess whether a configuration suits the task.
Connect model services and applications
Help teams organize model services through unified access, request management and usage records, supporting applications and day-to-day operations.
Three series for different stages of work
Each series addresses a different set of tasks. Choose products and services to suit your existing environment and project requirements.
- PoolCompute resource foundation
- BitPods supports resource management, cloud management and inference resources, helping organize and manage infrastructure.
- OptimizerInference planning and optimization
- BitCloud Atlas supports capacity assessment, hardware and model selection, and deployment planning. BitTune supports environment checks, model deployment, inference tuning and test validation.
- RouterModel service operations
- BitCloud API supports model access and distribution, a unified API, a console, and usage and billing management.
Start with your actual requirements
Model service access
Developers and AI application teams can explore model services and access options through the Token Platform.
Deployment and inference optimization
Discuss deployment, configuration, testing and optimization based on your devices, target models and actual workloads.
Enterprise environments
Explore product combinations, deployment options and delivery scope for internal compute and model service requirements.
Tell us about your devices, target models or application requirements, and we can clarify the next step together.
