NVIDIA DGX Spark Personal AI Supercomputer MSD 124; 128GB Unified Memory MSD 124; 4TB PIE Gen5 SSD MSD MSD 124; Grace Blackwell GB10 MSD 124; Op til 1 PFLOP RP4 AI Performance MSD 124; Local LLM & Generative AI Workstation
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- PERSONAL AI SUPERCOMPUTER - Oplev data center- klasse AI ydeevne i en kompakt desktop form faktor med NVIDIA DGX Spark, mål- bygget til AI udviklere, forskere, data forskere og virksomheder.
- Op til 1 PFLOP AI ydelse - drevet af NVIDIA Grace Blackwell GB10 Superchip med 5th Generation Tensor Cores, der leverer op til 1 PetafLOP (RP4) AI beregne for generative AI, machine learning, og dyb læring arbejdsbelastning.
- RUN 200B PARAMETER AI MODELS LOKALLY - Den massive 128GB LPDDR5X Unified Memory muliggør lokal inferens og fine- tuning af AI-modeller med op til 200 milliarder parametre, reducere cloud afhængighed, mens holde dine data private.
- 128GB HIGH- BANDWIDTH UNIFICERET MEMORY - Coherent CPU- GPU hukommelse arkitektur giver problemfri datadeling uden kopiering mellem systemet RAM og VRAM, accelerere AI arbejdsgange og forbedre effektiviteten.
- ULTRAST-FAST 4TB PCIe GEN5 NVMe SSD - High- performance Gen5 storage leverer lys- hurtige boot gange, hurtig model lastning, og rigelig plads til AI-modeller, datasæt, virtuelle maskiner, og udviklingsprojekter.
- BUILT FOR GENERATIVE AI & LLMs – Optimized for Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), computer vision, robotics, coding assistants, image generation, and multimodal AI applications.
- NVIDIA AI SOFTWARE STACK READY - Understøtter CUDA, TensorRT, TensorRT- LLM, NVIDIA NIM, PyTorch, RAPIDS, Triton Inference Server, og andre industriførende AI rammer for accelereret udvikling og implementering.
- 6,144 CUDA CORES & ADVANCED GPU ARCHITECTURE – Leverage NVIDIA Blackwell architecture with 6,144 CUDA Cores, 5th Gen Tensor Cores, and 4th Gen RT Cores for exceptional AI acceleration, parallel computing, and graphics performance.
- HIGH- SPEED ENTERPRISE CONNECTIVITY - Udstyret med Wi- Fi 7, Bluetooth 5.4, 10 Gigabit Ethernet, NVIDIA ConnectX- 7 netværk, HDMI 2.1a, og USB Type- C porte til hurtig netværk og problemfri integration i professionelle AI-miljøer.
- COMPACT, ENERGY-EFFICIENT & FUTURE-READY – Designed to deliver workstation-class AI computing in an ultra-compact desktop system, offering exceptional performance per watt for AI development, scientific computing, digital twins, edge AI, and enterprise innovation.
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Select a product to estimate shipping.NVIDIA DGX Spark is a next-generation personal AI supercomputer engineered to bring enterprise-grade AI computing to your desktop. Powered by the NVIDIA Grace Blackwell GB10 Superchip, it delivers up to 1 PFLOP of FP4 AI performance, enabling developers, researchers, data scientists, and AI enthusiasts to build, test, and deploy advanced AI applications with exceptional speed. Featuring 128GB of high-bandwidth LPDDR5X Unified Memory, DGX Spark can run and fine-tune AI models with up to 200 billion parameters locally, eliminating the need for costly cloud infrastructure while keeping sensitive data on-premises. The integrated 4TB PCIe Gen5 NVMe SSD provides ultra-fast storage for large AI models, datasets, and development environments. Equipped with 6,144 CUDA Cores, 5th Generation Tensor Cores, 4th Generation RT Cores, Wi-Fi 7, 10Gb Ethernet, and NVIDIA's complete AI software stack including CUDA, TensorRT, and NVIDIA NIM, DGX Spark is purpose-built for generative AI, large language models (LLMs), machine learning, computer vision, robotics, scientific computing, and edge AI. Its compact, energy-efficient design delivers data center-class AI performance in a desktop form factor, making it the ideal solution for professionals who demand powerful local AI computing without compromise.
| Main Specification | |
|---|---|
| Specifikke anvendelser af produktet | Virksomhed or Uddannelse |
| Fremstiller | NVIDIA |
| Enhedstælling | 1, 0 Tælling |
| Mærke | NVIDIA |
| UPC | 810152850299 |
| RAM-hukommelsesteknologi | DDR5 |
| Beskrivelse af harddisk | SSD |
| Hukommelseskapacitet | 4 TB |
| Modelnavn | NVIDIA DGX Spark |
| CPU-model | Cortex |
| Ram hukommelse maksimal størrelse | 128 GB |
| Farve | Guld |
| Orienteringsforhold | 16: 9 |
| CPU-hastighed | 3.8 GHz |
| Cache størrelse | 4 |
| Beskrivelse af grafikkort | Dedikeret |
| Grafikkoprocessor | NVIDIA GB10 Grace Blackwell Superchip |
| Type personligt computerdesign | Mini-PC |
| Vægt | 1.2 Kilogram |
| Product information | |
| Hardwaregrænseflade | Ethernet or HDMI or USB or Bluetooth |
| Driftssystem | NVIDIA DGX OS |
| I alt USB-porte | 4 |
| Technical Details | |
| Standardår | 2025 |
| Item details | |
| Standardnummer | DGX Spark |
| Measurements | |
| Varens dimensioner | 24, 1 x 24, 1 x 15, 2 Centimetre |
| Features & Specs | |
| Yderligere funktioner | 128GB af sammenhængende or samlet systemhukommelse or 4TB NVME.M2 med selvkryptering or Forbindelse X- 7 Smart NIC or NVIDIA GB10 Grace Blackwell Superchip or Op til 1 PFLOPS af RP4 AI ydeevne |
| Others | |
| Netværksforbindelsesteknologi | USB or Wi- Fi or Bluetooth or HDMI or Ethernet |
| Produkttype | Tårn- pc 'er |
| Cache- hukommelse installeret størrelse | 4 |
| Boks Indhold | Strømadapter |
| Kontaktoplysninger for pakker | AIPL |
| Importørens kontaktoplysninger | Rashi Periferals Limited |
| Grafisk RAM størrelse | 128 GB |
| Videooutputgrænseflade | HDMI |
| Type grafikRam | DDR5 SDRAM |
| Grænseflade til grafikkort | Integreret |
| Grafikbeskrivelse | Dedikeret |
| Harddisk-grænseflade | Fast tilstand |
| Videouddata | HDMI |
| DriveHukommelseskapacitet | 4 TB |
| RAM hukommelse installeret | 128 GB |
| RAM-type | DDR5 RAM |
| Processortype | Cortex |
| Processorhastighed | 3.8 GHz |
| Processorsocket | SoC |
| Forarbejdningsantal | 20 |
| HDMI-havn i alt | 1 |
| Videoudgange i alt | 1 |
| Menneskelige grænsefladetyper | Tastatur |
| Tastaturlayout | QWERTY |
| Forarbejdningsmærke | ARM |
| CPU-modelnummer | ARM Cortex- X925 + ARM Cortex- A725 Processor |
| Grafik Co Processor | NVIDIA GB10 Grace Blackwell Superchip |
| Scanner opløsning | E2719225 |
| Trådløs netværksteknologi | Wi- Fi |