Aiserver Manufacturer
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| System Architecture: |
Chipset: GB10 Grace Blackwell Superchip Combines a 20-core Arm CPU with a Blackwell GPU via NVLink-C2C interconnect Coherent unified memory architecture for CPU-GPU data sharing |
| CPU: |
20-core Arm v9 processor 10× Cortex-X925 cores (high-performance) 10× Cortex-A725 cores (energy-efficient) |
| GPU: |
Blackwell architecture with: 6,144 CUDA cores (equivalent to RTX 5070)710 5th-generation Tensor Cores (1,000 AI TOPS FP4 precision) 4th-generation RT Cores (ray tracing acceleration) |
| Video Engines: | 1× NVENC (9th gen), 1× NVDEC (5th gen) |
| System Memory: |
28GB LPDDR5X unified memory 256-bit interface, 273GB/s bandwidth Supports models up to 200B parameters locally, 405B parameters with dual-node clustering |
| Storage: | 4TB NVMe M.2 SSD (self-encrypting) |
| Networking: |
ConnectX-7 Smart NIC (200Gbps RDMA for clustering) 10GbE RJ45 port Wi-Fi 7 (802.11be) + Bluetooth 5.3 |
| Interfaces: |
4× USB4 Type-C (40Gbps) 1× HDMI 2.1a (supports 8K video output) Audio: HDMI multichannel audio |
| Power Consumption: |
170W typical operation916 Up to 224W peak under heavy load7 |
| Cooling: | Passive airflow design optimized for silent operation |
| Physical Specifications: |
Dimensions: 150mm (L) × 150mm (W) × 50.5mm (H) Weight: 1.2kg Form Factor: FHFL dual-slot (rack-mountable with optional kit) |
| Operating System: |
DGX OS (Ubuntu 22.04-based) Pre-installed AI Enterprise software stack Supports frameworks: PyTorch, TensorFlow, RAPIDS |
| Model Capabilities: |
Inference: Up to 200B parameters (e.g., LLaMA 2, DeepSeek-R1) Fine-tuning: Up to 70B parameters Distributed training: Scale to 405B parameters with dual DGX Spark nodes116 |
| Security: |
Secure Boot and ECC memory protection Confidential computing with ARM TrustZone |
| Development Tools: |
AI Enterprise Suite (cuDNN, TensorRT, etc.) NGC container registry access |
