{"product_id":"nvidia-dgx-spark-founders-edition-128gb-ai-supercomputer-with-gb10-chip","title":"NVIDIA DGX Spark Founders Edition 128GB AI Supercomputer with GB10 Chip","description":"\u003cdiv\u003e\n\u003ch1\u003eNVIDIA DGX Spark Founders Edition ANZ 4TB - Personal AI Supercomputer\u003c\/h1\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA DGX Spark Founders Edition\u003c\/strong\u003e is a revolutionary compact AI supercomputer powered by the \u003cstrong\u003eNVIDIA GB10 Grace Blackwell Superchip\u003c\/strong\u003e. Delivering up to \u003cstrong\u003e1 petaFLOP of AI performance\u003c\/strong\u003e in a desktop form factor, this powerhouse enables developers, researchers, and data scientists to build, fine-tune, and run large AI models locally with up to \u003cstrong\u003e200 billion parameters\u003c\/strong\u003e. With \u003cstrong\u003e128GB of unified system memory\u003c\/strong\u003e, \u003cstrong\u003e4TB NVMe storage\u003c\/strong\u003e, and the NVIDIA AI software stack preinstalled, DGX Spark brings enterprise-grade AI computing to your desk in a compact 150mm × 150mm × 50.5mm chassis weighing just 1.2kg.\u003c\/p\u003e\n\n\u003ch2\u003eWhy Choose the NVIDIA DGX Spark?\u003c\/h2\u003e\n\u003cp\u003eDGX Spark belongs to a new class of personal AI computers designed from the ground up for autonomous agents, large language models, and advanced machine learning workflows. Perfect for AI developers, machine learning engineers, data scientists, and researchers who need powerful local compute for prototyping, fine-tuning, and inference without relying on cloud resources.\u003c\/p\u003e\n\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGB10 Grace Blackwell Superchip\u003c\/strong\u003e: Integrated 20-core Arm CPU with Blackwell GPU featuring 5th-generation Tensor Cores and 4th-generation RT Cores\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e1 PetaFLOP AI Performance\u003c\/strong\u003e: Up to 1,000 TOPS of AI computing power at FP4 precision for rapid inference and training\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e128GB Unified Memory\u003c\/strong\u003e: LPDDR5x coherent system memory with 273GB\/s bandwidth for handling massive AI models\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003e4TB NVMe Storage\u003c\/strong\u003e: Self-encrypting M.2 storage for secure local AI workflows and large datasets\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAdvanced Connectivity\u003c\/strong\u003e: 10GbE RJ45, ConnectX-7 NIC (200Gbps), Wi-Fi 7, Bluetooth 5.4 LE, 4x USB-C, and HDMI 2.1a\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eDual-System Clustering\u003c\/strong\u003e: Connect two DGX Spark units to work with models up to 405B parameters\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePreloaded AI Stack\u003c\/strong\u003e: NVIDIA AI software stack ready out of the box for immediate deployment\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eCompact \u0026amp; Efficient\u003c\/strong\u003e: Ultra-compact desktop form factor with 240W max power consumption\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eUnmatched AI Performance for Local Workflows\u003c\/h2\u003e\n\u003cp\u003eThe DGX Spark's \u003cstrong\u003eGB10 Grace Blackwell Superchip\u003c\/strong\u003e integrates a high-performance \u003cstrong\u003e20-core Arm processor\u003c\/strong\u003e (10 Cortex-X925 + 10 Cortex-A725 cores) with an NVIDIA Blackwell architecture GPU. This system-on-chip delivers breakthrough AI performance with \u003cstrong\u003efifth-generation Tensor Cores\u003c\/strong\u003e supporting FP4 precision, enabling up to 1 petaFLOP of parallel throughput. Combined with \u003cstrong\u003e128GB of unified system memory\u003c\/strong\u003e, DGX Spark can prototype, fine-tune models with up to 70 billion parameters, and run inference on AI models up to 200 billion parameters entirely locally.\u003c\/p\u003e\n\n\u003ch2\u003ePurpose-Built for AI Development\u003c\/h2\u003e\n\u003cp\u003eWhether you're developing autonomous AI agents, fine-tuning large language models from DeepSeek, Meta, Google, Qwen, or NVIDIA, or accelerating data science workflows with NVIDIA RAPIDS, DGX Spark provides the performance and memory you need. The preinstalled \u003cstrong\u003eNVIDIA AI software stack\u003c\/strong\u003e includes frameworks for edge AI application development with NVIDIA Isaac, Metropolis, and more. Build and run secure, local AI agents with NVIDIA OpenShell without relying on cloud-based token generation.\u003c\/p\u003e\n\n\u003ch2\u003eEnterprise Connectivity \u0026amp; Expandability\u003c\/h2\u003e\n\u003cp\u003eDGX Spark features robust connectivity options designed for professional AI workflows:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNetworking\u003c\/strong\u003e: 1x RJ-45 10GbE Ethernet, ConnectX-7 Smart NIC with 200Gbps throughput, Wi-Fi 7, Bluetooth 5.4 LE\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eI\/O Ports\u003c\/strong\u003e: 4x USB Type-C (including power delivery), 1x HDMI 2.1a with multichannel audio\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHigh-Speed Interconnect\u003c\/strong\u003e: 2x QSFP network connectors (ConnectX-7) for clustering two DGX Spark systems\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eVideo Processing\u003c\/strong\u003e: 1x NVENC encoder and 1x NVDEC decoder for media workflows\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eCompact Desktop Form Factor\u003c\/h2\u003e\n\u003cp\u003eDespite its massive computing power, DGX Spark measures just \u003cstrong\u003e150mm × 150mm × 50.5mm\u003c\/strong\u003e and weighs only \u003cstrong\u003e1.2kg (2.6 lbs)\u003c\/strong\u003e. The small form factor chassis fits easily on any desk, making enterprise-grade AI accessible without dedicated server rooms or complex cooling infrastructure. Operating temperature range of 5°C to 30°C ensures reliable performance in typical office environments.\u003c\/p\u003e\n\n\u003ch2\u003eWhat's in the Box\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA DGX Spark Founders Edition (ANZ) with 4TB storage\u003c\/li\u003e\n\u003cli\u003ePower adapter and cable\u003c\/li\u003e\n\u003cli\u003eQuick Start Guide\u003c\/li\u003e\n\u003cli\u003eSafety and regulatory documentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\n\u003ch2\u003eFull Specifications\u003c\/h2\u003e\n\n\u003ch3\u003eCompute\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Blackwell Architecture with 5th Generation Tensor Cores, 4th Generation RT Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e20-core Arm processor (10 Cortex-X925 + 10 Cortex-A725)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 1 petaFLOP (1,000 TOPS) at FP4 precision\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Memory\u003c\/td\u003e\n\u003ctd\u003e128GB LPDDR5x unified system memory, 256-bit interface, 4266 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e4TB NVMe M.2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eConnectivity\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003e1x RJ-45 10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHigh-Speed Networking\u003c\/td\u003e\n\u003ctd\u003eConnectX-7 Smart NIC (200 Gbps), 2x QSFP connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWireless\u003c\/td\u003e\n\u003ctd\u003eWi-Fi 7, Bluetooth 5.4 LE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e4x USB Type-C (one for power delivery)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI 2.1a with multichannel audio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Processing\u003c\/td\u003e\n\u003ctd\u003e1x NVENC, 1x NVDEC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePower \u0026amp; Environment\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eTDP (GB10 SoC)\u003c\/td\u003e\n\u003ctd\u003e140W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax System Power\u003c\/td\u003e\n\u003ctd\u003e240W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e5°C to 30°C (41°F to 86°F)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Humidity\u003c\/td\u003e\n\u003ctd\u003e10% to 90% (non-condensing)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Altitude\u003c\/td\u003e\n\u003ctd\u003eUp to 3,000 meters (9,843 feet)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003ePhysical\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis Type\u003c\/td\u003e\n\u003ctd\u003eSmall form factor (SFF)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions (L × W × H)\u003c\/td\u003e\n\u003ctd\u003e150mm × 150mm × 50.5mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.2 kg (2.6 lbs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eSoftware \u0026amp; AI Capabilities\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePreinstalled Software\u003c\/td\u003e\n\u003ctd\u003eNVIDIA AI software stack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSupported Model Size (Single Unit)\u003c\/td\u003e\n\u003ctd\u003eUp to 200 billion parameters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFine-Tuning Capacity\u003c\/td\u003e\n\u003ctd\u003eUp to 70 billion parameters\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDual-System Clustering\u003c\/td\u003e\n\u003ctd\u003eUp to 405 billion parameters (256GB combined memory, 8TB total storage)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Frameworks\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Isaac, Metropolis, RAPIDS, OpenShell, and more\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003ch3\u003eWarranty \u0026amp; Support\u003c\/h3\u003e\n\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eWarranty (New Units)\u003c\/td\u003e\n\u003ctd\u003e1 year limited warranty\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePart Number\u003c\/td\u003e\n\u003ctd\u003e940-54242-0002-000 (Founders Edition, ANZ, 4TB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\n\n\u003cp\u003e\u003cem\u003eSpecifications are sourced from the official NVIDIA product page and technical documentation and may be updated. This product is designed for AI development, research, and data science workloads. Not designed for medical, military, aircraft, space, or life support applications.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":44324932845646,"sku":"PA-NVIDIA94054242000","price":8550.0,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/3134\/9838\/files\/940-54242-0005-000-2T.jpg?v=1789260710","url":"https:\/\/projectorsaustralia.com.au\/products\/nvidia-dgx-spark-founders-edition-128gb-ai-supercomputer-with-gb10-chip","provider":"Projectors Australia","version":"1.0","type":"link"}