
CPU and GPU working together
The Grace Blackwell platform combines general-purpose processing and AI compute for model inference, development, debugging and running applications.
H3C / Local AI Hardware
Desktop AI Supercomputer
Built on NVIDIA GB10 with unified system memory for local model inference, application development and testing.

Product Capabilities
Explore compute, memory and connectivity specifications, with five views of the device and its ports.
Compute figures are theoretical peaks. See model validation for measured inference performance. Storage options and supplied configurations are subject to your quotation.

Official product illustrations. Appearance and ports are subject to the delivered device.
Hardware Features
Understand a single device’s capabilities before planning model deployment or expansion.

The Grace Blackwell platform combines general-purpose processing and AI compute for model inference, development, debugging and running applications.

The operating system, model weights, inference caches and applications share memory. Whether a model fits depends on its quantization format and context length.

High-speed networking supports communication between nodes. Validate the network and inference framework separately for model replicas and for model parallelism across devices.
Selection & Deployment
Consider your target models, existing software and deployment environment together.
Check reports for your model version, quantization, context and concurrency needs. Theoretical compute performance does not directly translate into application speed.
View model validation →MegaCube uses Arm architecture. Check application and container compatibility, and confirm how model services and PINVOU will be installed and connected.
View downloads & connections →Confirm storage, power, ventilation, networking and device management. For multiple devices, also confirm the interconnect cables, switches and deployment services required.
View solutions & configurations →Tell us your target models and workload requirements so we can assess devices, accessories and the scope of delivery together.