₹620,000.00 Original price was: ₹620,000.00.₹599,999.00Current price is: ₹599,999.00.
Brand New NVIDIA DGX Spark AI Supercomputer powered by the NVIDIA GB10 Grace Blackwell Superchip, featuring 128GB LPDDR5x coherent unified memory, up to 4TB self-encrypting NVMe SSD, 6,144 CUDA cores, 20-core Arm CPU and up to 1 PFLOP FP4 AI performance. Built for local LLMs, generative AI, AI development, model fine-tuning, inference, data science, robotics, computer vision and edge AI. With NVIDIA ConnectX-7 networking at 200Gbps, 10GbE, Wi-Fi 7, 4× USB-C, HDMI 2.1a and support for up to three DisplayPort displays, DGX Spark delivers an advanced AI computing platform in an ultra-compact desktop form factor. Brand New | NVIDIA DGX OS | 4TB NVMe | 240W Power Supply | 1 Year Warranty.
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The NVIDIA DGX Spark is a compact AI computing system designed to bring powerful Grace Blackwell AI acceleration directly to the desktop. Powered by the NVIDIA GB10 Grace Blackwell Superchip, it combines a 20-core Arm CPU, Blackwell GPU architecture, 128GB of coherent unified memory, high-speed networking and the NVIDIA AI software stack into a purpose-built platform for modern AI development.
Unlike a conventional desktop workstation, DGX Spark is engineered specifically for AI prototyping, inference, fine-tuning, generative AI, data science, autonomous agents, robotics and computer vision. NVIDIA positions the platform to run supported AI models with up to 200 billion parameters locally, while multiple DGX Spark systems can be connected for larger workloads.
Its compact 150 × 150 × 50.5mm chassis and approximately 1.2kg weight make it dramatically smaller than traditional AI workstations and servers, while still providing a complete NVIDIA AI development environment.
| Specification | Details |
|---|---|
| Product Name | NVIDIA DGX Spark AI Supercomputer |
| Condition | Brand New |
| Architecture | NVIDIA Grace Blackwell |
| Superchip | NVIDIA GB10 Grace Blackwell |
| GPU Architecture | NVIDIA Blackwell |
| CPU | 20-Core Arm CPU |
| CPU Configuration | 10× Cortex-X925 + 10× Cortex-A725 |
| CUDA Cores | 6,144 |
| Tensor Cores | 5th Generation |
| RT Cores | 4th Generation |
| AI Performance | Up to 1 PFLOP FP4 |
| Inference Performance | Up to 1,000 TOPS |
| Unified Memory | 128GB LPDDR5x |
| Memory Type | Coherent Unified System Memory |
| Memory Interface | 256-bit |
| Memory Bandwidth | Up to 273GB/s |
| Storage | 4TB NVMe M.2 SSD |
| Storage Security | Self-Encrypting NVMe |
| Networking | NVIDIA ConnectX-7 |
| ConnectX-7 Speed | 200Gbps |
| Ethernet | 10GbE RJ-45 |
| Wireless | Wi-Fi 7 |
| Bluetooth | Bluetooth 5.4 |
| USB | 4× USB Type-C |
| Display Output | HDMI 2.1a |
| Additional Displays | Up to 3× DisplayPort over USB-C |
| Video Engine | 1× NVENC / 1× NVDEC |
| Operating System | NVIDIA DGX OS |
| Power Supply | 240W |
| GB10 TDP | 140W |
| Dimensions | 150 × 150 × 50.5mm |
| Weight | Approx. 1.2kg |
| Warranty | 1 Year Warranty |
Advanced Grace Blackwell architecture engineered specifically for modern AI workloads.
Large 128GB LPDDR5x unified memory pool designed for memory-intensive AI models.
High-throughput AI acceleration for supported FP4 workloads with sparsity.
Massive parallel processing capability for CUDA-accelerated applications.
Large local storage capacity for models, datasets, containers and development projects.
Professional high-speed networking for demanding AI workloads and multi-DGX Spark configurations.
Next-generation wireless connectivity for compatible networks.
HDMI 2.1a plus up to three DisplayPort connections through USB-C.
High-speed USB-C connectivity for peripherals, displays and supported devices.
Supported storage configuration provides self-encryption for additional data protection.
Approximately 150 × 150 × 50.5mm and 1.2kg.
NVIDIA specifies a 240W external power supply for DGX Spark.
This listing includes a 1 Year Warranty, providing additional confidence for professional AI development and business use.
DGX Spark isn’t simply a desktop PC with a powerful graphics card. It is designed as an integrated AI platform combining NVIDIA compute, unified memory, networking and AI software.
The combination of 128GB unified memory and Blackwell acceleration allows developers to work with substantially larger AI models locally than many conventional consumer systems. NVIDIA specifies support for models up to 200 billion parameters for local AI development and inference under its stated configurations.
Instead of sourcing a CPU, GPU, motherboard, memory, cooling system and networking hardware separately, DGX Spark provides a tightly integrated AI computing platform.
At approximately 1.2kg, DGX Spark is considerably easier to deploy than conventional rack-mounted AI infrastructure.
A single DGX Spark can serve as a powerful local AI development machine, while multiple systems can be interconnected for larger model workloads.
Access to NVIDIA’s CUDA ecosystem, AI frameworks, libraries, NGC resources and NIM technologies gives developers a broad software foundation for building AI applications.
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