NVIDIA RTX PRO 6000 Blackwell Server...
$16,120.50
Powered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX Spark™ delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.
Key Features:
| Category | Feature | Description / Specification |
|---|---|---|
| Core Technologies | NVIDIA GB10 Superchip | Experience up to 1 petaFLOP of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture. |
| Unified System Memory | 128 GB of coherent unified system memory enables AI development and testing workloads with AI models up to 200 billion parameters directly on the desktop. | |
| NVIDIA ConnectX Networking | High-performance NVIDIA ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters. | |
| NVIDIA AI Software Stack | Full-stack solution for generative AI workloads, including NVIDIA tools, frameworks, libraries, and pre-trained models such as NVIDIA NIM. | |
| AI Workload Acceleration | Desktop AI Supercomputer | Delivering the power of an AI supercomputer in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads. |
| AI Workflows | Prototyping | Develop, test, and validate AI models and applications locally. NVIDIA DGX Spark provides a complete platform to evaluate workloads before migrating to NVIDIA DGX Cloud or other accelerated data center infrastructures. |
| Fine-Tuning | Fine-tune AI models up to 70 billion parameters using 128GB of unified system memory, enabling customization of large pre-trained models for specific use cases. | |
| Inference | Fifth-generation Tensor Cores with FP4 support deliver up to 1 petaFLOP of AI performance. Combined with 128GB of system memory, DGX Spark accelerates inference for state-of-the-art AI models up to 200 billion parameters. | |
| Data Science | High-performance analytics and machine learning workflows enabled by 128GB unified memory and massive parallel throughput for large, computationally complex datasets. | |
| Edge Applications | Ideal platform for robotics, smart city, and computer vision solutions using NVIDIA frameworks such as Isaac™, Metropolis, and Holoscan, enabling rapid development of edge AI applications. | |
| Product Specifications | Architecture | NVIDIA Grace Blackwell |
| GPU | NVIDIA Blackwell Architecture | |
| CPU | 20-core Arm CPU: 10 × Cortex-X925 10 × Cortex-A725 |
|
| CUDA Cores | NVIDIA Blackwell Generation | |
| Tensor Cores | 5th Generation | |
| RT Cores | 4th Generation | |
| Tensor Performance | Up to 1 PFLOP | |
| System Memory | 128 GB LPDDR5x, coherent unified system memory | |
| Memory Interface | 256-bit | |
| Memory Bandwidth | Up to 273 GB/s | |
| Storage | 4 TB NVMe M.2 with self-encryption | |
| USB | 4 × USB Type-C | |
| Ethernet | 1 × RJ-45 connector (10 GbE) | |
| NIC | NVIDIA ConnectX-7 NIC @ 200 Gbps | |
| Wi-Fi | Wi-Fi 7 | |
| Bluetooth | Bluetooth 5.4 with Low Energy (LE) | |
| Audio Output | HDMI multichannel audio output | |
| Power Supply | 240 W | |
| GB10 TDP | 140 W | |
| Display Connectors | 1 × HDMI 2.1a | |
| NVENC | NVDEC | 1 × NVENC | 1 × NVDEC | |
| Operating System | NVIDIA DGX™ OS | |
| System Dimensions | 150 mm (L) × 150 mm (W) × 50.5 mm (H) | |
| System Weight | 1.2 kg |
Package Content: