H3C / Local AI Hardware

MegaCube

Desktop AI Supercomputer

Built on NVIDIA GB10 with unified system memory for local model inference, application development and testing.

MegaCube silver chassis and side cooling design
H3C LinSeer MegaCube · Product illustration

Product Capabilities

Key specifications and chassis design

Explore compute, memory and connectivity specifications, with five views of the device and its ports.

Computing Platform
NVIDIA GB10
Grace Blackwell Superchip
20-core Arm CPU
AI Computing Performance
1 PFLOPS
Theoretical peak performance with FP4 sparsity
Unified System Memory
128 GB
LPDDR5x · 273 GB/s bandwidth
Shared by CPU and GPU
Local Storage
Up to 4 TB
NVMe M.2 SSD
1 TB / 2 TB / 4 TB options
High-Speed Interconnect
200G
ConnectX-7 · Dual QSFP ports
RoCE support
Compact Chassis
150 × 150 mm
50.5 mm high · Approx. 1.2 kg
View full technical specifications →

Compute figures are theoretical peaks. See model validation for measured inference performance. Storage options and supplied configurations are subject to your quotation.

Hardware Features

Compute, memory and connectivity working together

Understand a single device’s capabilities before planning model deployment or expansion.

NVIDIA GB10 computing architecture illustration

CPU and GPU working together

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

Architecture illustration of CPU and GPU sharing unified system memory

Shared unified system memory

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

MegaCube high-speed network interconnect illustration

High-speed network connectivity

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

Three things to confirm before purchasing

Consider your target models, existing software and deployment environment together.

01 / Models

Capacity & Performance

Check reports for your model version, quantization, context and concurrency needs. Theoretical compute performance does not directly translate into application speed.

View model validation →
02 / Software

System & Compatibility

MegaCube uses Arm architecture. Check application and container compatibility, and confirm how model services and PINVOU will be installed and connected.

View downloads & connections →
03 / Environment

Deployment & Accessories

Confirm storage, power, ventilation, networking and device management. For multiple devices, also confirm the interconnect cables, switches and deployment services required.

View solutions & configurations →

Find the right MegaCube configuration for you

Tell us your target models and workload requirements so we can assess devices, accessories and the scope of delivery together.

Discuss product configuration