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NVIDIA DGX Spark AI Supercomputer Workstation

Price: To be announced
Status: Upcoming

Key Features

  • Processor: 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
  • RAM: 128GB LPDDR5x, Storage: 4TB NVMe M.2 With Self-encryption
  • Graphics: NVIDIA Blackwell Architecture, Platform: NVIDIA DGX Spark
  • Ports: 4x Type-C, 1x RJ-45 10 GbE, 1x HDMI 2.1a, WiFi 7, Bluetooth 5.4 w/LE
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Specification

General
Brand NVIDIA
Model DGX Spark
Input Devices
External I/O Ports 4x USB Type-C 1x rJ-45 connector 10 GbE 1x HDMI 2.1a HDMI multichannel audio output 1x NVENC 1x NVDEC
Basic Information
Gift Item Tensor Cores: 5th Generation RT Cores: 4th Generation Tensor Performance: 1 PFLOP NIC: ConnectX-7 NIC @ 200 Gbps
Network & Wireless Connectivity WiFi 7, BT 5.4 w/LE
Operating System NVIDIA DGX OS
Processor 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
Motherboard NVIDIA Grace Blackwell
RAM 128 GB LPDDr5x, coherent unified system memory Memory Interface: 256-bit Memory Bandwidth: Up to 273 GB/s
Graphics Card NVIDIA Grace Blackwell Architecture
Storage 4 TB NVME.M2 with self-encryption
Physical Specification
Weight 1.2 kg
Dimension 150 mm L x 150 mm W x 50.5 mm H
Warranty Information
Warranty 02 years

Description

The NVIDIA DGX Spark AI Supercomputer Workstation supports modern AI frameworks and delivers optimized performance for developers working on deep learning, simulation, and advanced analytics. The combination of CPU and GPU ensures balanced workloads, while the Blackwell architecture enhances efficiency and throughput. This NVIDIA workstation empowers professionals to build, test, and deploy AI models locally with confidence and reliability.

NVIDIA Grace Blackwell architecture

The NVIDIA DGX Spark AI Supercomputer Workstation delivers cutting-edge performance using the NVIDIA Grace Blackwell architecture and powerful Blackwell GPU design. This advanced platform combines a 20-core Arm CPU featuring 10 Cortex-X925 and 10 Cortex-A725 cores for efficient multitasking and compute acceleration. The NVIDIA DGX Spark AI Supercomputer Workstation integrates next-generation CUDA cores, fifth-generation Tensor Cores, and fourth-generation RT Cores to handle complex AI and HPC workloads seamlessly. With up to 1 PFLOP tensor performance, users can process large datasets, train models, and run inference tasks with exceptional speed and accuracy.

High-Speed Data Handling

The NVIDIA DGX Spark AI Supercomputer Workstation features 128GB LPDDR5x coherent unified system memory, enabling seamless data sharing between CPU and GPU for improved efficiency. The 256-bit memory interface and up to 273GB/s bandwidth ensure fast data processing and reduced latency during intensive workloads. This high-capacity memory allows users to handle AI models with up to 200 billion parameters directly on the desktop.

4TB NVMe M.2 Storage with Self-Encryption

The NVIDIA DGX Spark includes a 4TB NVMe M.2 storage solution with self-encryption, providing fast read and write speeds alongside enhanced data security. NVIDIA DGX Spark AI Supercomputer Workstation ensures quick access to large datasets, reducing bottlenecks in AI training and development workflows. This storage configuration supports high-performance computing needs while maintaining reliability for long-term usage.

Large Connectivity Options

The NVIDIA DGX Spark AI Supercomputer Workstation including four USB Type-C ports for high-speed data transfer and device integration. It features a 10GbE RJ-45 Ethernet port and advanced ConnectX-7 NIC delivering up to 200Gbps networking performance. NVIDIA DGX Spark AI Supercomputer Workstation includes HDMI 2.1a output with multichannel audio support, enabling high-quality visual and audio experiences. The integrated NVENC and NVDEC engines support efficient video encoding and decoding, including modern AI-driven media processing tasks.

Wireless Connectivity

This NVIDIA DGX Spark AI Supercomputer Workstation also includes WiFi 7 and Bluetooth 5.4 with low energy support, ensuring modern wireless connectivity. Users can connect multiple devices effortlessly while maintaining stable and fast communication. The system supports linking two units together, enabling workloads with models up to 405 billion parameters for enterprise-level scalability.

AI Software Ecosystem

The NVIDIA DGX Spark AI Supercomputer Workstation operates at 240W power consumption, delivering impressive efficiency for a compact desktop form factor. It runs on NVIDIA DGX OS with a complete AI software stack, including tools, frameworks, libraries, and pretrained models. This ready-to-use ecosystem allows developers in Bangladesh and beyond to build, fine-tune, and deploy AI solutions efficiently, making it a powerful and practical AI workstation for modern computing needs.

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