Explore the computing architecture, unified system memory, network ports and deployment requirements.
Compute & Storage
Computing Platform
NVIDIA GB10 Grace Blackwell Superchip
Processor
20-core Arm CPU 10 × Cortex-X925 + 10 × Cortex-A725
GPU Compute Cores
6144 CUDA cores, fifth-generation Tensor Cores
AI Computing Performance
Up to 1 PFLOPS Theoretical peak performance at FP4 precision with sparsity. For measured model inference performance, see the report for the relevant configuration.
Unified System Memory
128 GB LPDDR5x · 273 GB/s Shared by CPU and GPU for the operating system, model weights, inference caches and application data.
Storage Options
1 TB / 2 TB / 4 TB NVMe M.2 Available configurations are subject to your quotation.
Networking & Ports
Rear port illustration. Labels and layout are subject to the delivered device.
Wired Networking
1 × RJ-45, 10GbE
High-Speed Interconnect
ConnectX-7 · 200G high-speed interconnect Dual QSFP ports with RoCE support.
USB
4 × Type-C The official English specifications list USB 4 at up to 40Gb/s. Confirm the functions of individual ports on the actual device.
Display Output
1 × HDMI 2.1a
Wireless
Wi-Fi 7 · Bluetooth 5.4
Dimensions & Environment
Chassis Dimensions
150 × 150 × 50.5 mm
Weight
Approx. 1.2 kg
Operating System
NVIDIA DGX OS · Arm architecture Check compatibility with your applications, containers and model dependencies.
Power & Cooling
Confirm the power requirements of your chosen model and allow space for the power supply, ventilation and cables. Power consumption figures differ between official pages. Final values are subject to the delivered specifications.
Deployment Environment & Requirements
Hardware specifications are the starting point. A complete deployment also requires the right models, network and software environment.
Single-Device Preparation
Confirm storage capacity, network access, device management and installation requirements for your target models and applications.
Multi-Device Preparation
Choose direct high-speed cabling or a switched network based on device count and configuration, then validate services across nodes using your actual workloads.
Software & Acceptance Testing
Confirm preinstalled components, model versions, PINVOU configuration, software licenses and acceptance tests. Production use of NVIDIA AI Enterprise requires an additional license.