Aiserver Manufacturer
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| System Architecture |
Chipset: GB10 Grace Blackwell Superchip Interconnect: Combines a 20-core Arm CPU with a Blackwell GPU via NVLink-C2C interconnect Memory Architecture: Coherent unified memory architecture for CPU-GPU data sharing |
| CPU |
Processor: 20-core Arm v9 processor Cores: 10× Cortex-X925 cores (high-performance) + 10× Cortex-A725 cores (energy-efficient) |
| GPU |
Architecture: Blackwell architecture with: CUDA Cores: 6,144 CUDA cores (equivalent to RTX 5070) Tensor Cores: 5th-generation Tensor Cores (1,000 AI TOPS FP4 precision) RT Cores: 4th-generation RT Cores (ray tracing acceleration) |
| Video Engines | 1× NVENC (9th gen), 1× NVDEC (5th gen) |
| System Memory |
Capacity: 28GB LPDDR5X unified memory Performance: 256-bit interface, 273GB/s bandwidth Capabilities: Supports models up to 200B parameters locally, 405B parameters with dual-node clustering |
| Storage | 4TB NVMe M.2 SSD (self-encrypting) |
| Networking |
NIC: ConnectX-7 Smart NIC (200Gbps RDMA for clustering) LAN: 10GbE RJ45 port Wireless: Wi-Fi 7 (802.11be) + Bluetooth 5.3 |
| Interfaces |
USB: 4× USB4 Type-C (40Gbps) Video: 1× HDMI 2.1a (supports 8K video output) Audio: HDMI multichannel audio |
| Power Consumption |
Typical: 170W typical operation Peak: Up to 224W peak under heavy load |
| 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 |
OS: DGX OS (Ubuntu 22.04-based) Software Stack: Pre-installed AI Enterprise software stack Frameworks: Supports 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 nodes |
| Security | Secure Boot and ECC memory protection. Confidential computing with ARM TrustZone |
| Development Tools | AI Enterprise Suite (cuDNN, TensorRT, etc.), NGC container registry access |
