Scan Cloud NVIDIA DGX Spark Personal AI Supercomputer - 1 Week Access
SYSTEM
Scan Cloud NVIDIA DGX Spark Personal AI Supercomputer - 1 Week Access
Scan code: LN168310 Manufacturer code: SCAN-SPARK-CLOUD-1W
£69.98
Low stock
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SYSTEM

Scan Cloud NVIDIA DGX Spark Personal AI Supercomputer - 1 Week Access

1 Week Scan Cloud Access, NVIDIA DGX Spark Personal AI Supercomputer, GB10 Blackwell Superchip, 1000 TOPS

Scan code: LN168310 Manufacturer code: SCAN-SPARK-CLOUD-1W
£69.98
CLOUD READY NVIDIA DGX Spark - Cloud Ready From £249.98 per month (equiv £0.34 / hour)
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NVIDIA DGX Spark Personal AI Supercomputer

NVIDIA Grace Blackwell DGX Spark Personal AI Supercomputer

A Grace Blackwell AI Supercomputer on Your DeskNVIDIA DGX Spark Personal AI Supercomputer delivers a petaflop of AI performance from a power-efficient, compact form factor. With the preinstalled NVIDIA AI software stack, 1000 TOPS of performance, and 128GB of memory, developers can prototype, fine-tune, and inference large AI models of up to 200 billion parameters locally and seamlessly deploy to the data centre or cloud.

NVIDIA DGX Spark is a comprehensive solution, providing the hardware along with expert support and integration services to ensure seamless deployment and optimal performance for AI projects. This makes it an accessible and efficient tool for those looking to advance their AI research and applications.

Please Note: This product includes cloud-based access to NVIDIA Spark services only. No physical NVIDIA Spark hardware is included or shipped as part of this purchase.

For more information, see the:
Product Datasheet Specifications

Accelerate All AI Workloads

Desktop AI Compute DemandsThe increasing size and complexity of generative AI models is making development efforts on local systems challenging. Prototyping, tuning, and inferencing large models locally requires large amounts of memory and significant compute performance. As enterprises, software providers, government agencies, startups, and researchers staff up AI efforts, the need for AI compute resources continues to grow.

NVIDIA DGX H2OO

200B Parameter Models on Your Desk NVIDIA DGX™ Spark is part of a new class of computers designed from the ground up to build and run AI. Powered by the NVIDIA GB10 Grace Blackwell Superchip and based on the NVIDIA Grace Blackwell architecture, NVIDIA DGX Spark delivers up to 1000 TOPS of AI performance to power large AI workloads. With 128 GB of unified system memory, developers can experiment, fine-tune, or inference models of up to 200B parameters. Plus, NVIDIA ConnectX™ networking can connect two NVIDIA DGX Spark supercomputers to enable inference on models up to 405B parameters.

To give developers a familiar experience, NVIDIA DGX Spark mirrors the same software architecture that powers industrial-strength AI factories. Using the NVIDIA DGX OS with Ubuntu Linux and preconfigured with the latest NVIDIA AI software stack, along with developer program access to NVIDIA NIM™ and NVIDIA Blueprints, developers can hit the ground running using common tools such as Pytorch, Jupyter, and Ollama to prototype, fine-tune, and inference on NVIDIA DGX Spark and seamlessly deploy in the data centre or cloud.

Work With Large-Parameter AI ModelsWith 128 GB of unified system memory and support for the FP4 data format, NVIDIA DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune, and inference large models on their desktop. With builtin NVIDIA ConnectX network technology, two NVIDIA DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.

NVIDIA GPU, CPU, Networking, and AI Software Technologies

Built on NVIDIA Grace Blackwell At the heart of NVIDIA DGX Spark is the new NVIDIA GB10 Grace Blackwell Superchip based on the NVIDIA Grace Blackwell architecture optimised for a desktop form factor. GB10 features a powerful NVIDIA Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 TOPS of AI compute. GB10 includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and real-time inferencing. The GB10 Superchip uses the NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5X the bandwidth of PCIe Gen 5.

NVIDIA GB10 Superchip

NVIDIA GB10 SuperchipExperience up to 1000 AI TOPS of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.

128 GB of Coherent Unified System Memory

128 GB of Coherent Unified System MemoryRun AI development and testing workloads with AI models up to 200 billion parameters at your desktop with large, unified system memory.

NVIDIA ConnectX Networking

NVIDIA ConnectX NetworkingHigh-performance NVIDIA Connect-X networking enables connecting two NVIDIA DGX Spark systems together to work with AI models up to 405 billion parameters.

NVIDIA AI Software Stack

NVIDIA AI Software StackUse a full-stack solution for generative AI workloads, including tools, frameworks, libraries, and pretrained models.

Connect Two DGX Systems

Two DGX Spark systems stacked on top of each other

ConnectX-7 Smart NICUpgrade easily by Connecting two DGX Spark systems together via ConnectX-7 and LinkX cable to work with even larger models of up to 405 billion parameters utilising the full 256GB of unified memory for better than multi-GPU workstation performance*

*Assuming 4-bit precision and workloads specific to high memory usage models. See comparison table for more information

Develop Locally, Deploy Anywhere at Scale

Workflow, Models and ToolsDGX Spark comes with all the software AI developers need to get up running AI workloads right away. Users can install their favourite tools, and frameworks or take advantage of the latest NVIDIA workflows, models, microservices and tools such as NVIDIA NIM, AI Blueprints or AI Workbench.

Workflow, Models and Tools

Learn more about:
NVIDIA Frameworks

A New Era of Performance

Diagram of internal components
Connectivity
Wi-Fi, Bluetooth, USB
ConnectX
NCCL, RDMA, GPUDirect
4 TB SSD
GB10 Superchip Blackwell GPU
1 PetaFLOP FP4 AI Compute
Grace GPU
20 Arm Cores
High Bandwidth Unified Memory
128 GB Low Power DDR5X

Learn more about:
NVIDIA DGX Spark

NVIDIA DGX Spark Specifications

Architecture NVIDIA Grace Blackwell
GPU NVIDIA Blackwell Architecture
CPU 20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm
CUDA Cores NVIDIA Blackwell Generation
Tensor Cores 5th Generation
RT Cores 4th Generation
Tensor Performance 1000 AI TOPS
System Memory 128 GB LPDDR5x, unified system memory
Memory Interface 256-bit
Memory Bandwidth 273 GB/s
Storage 4 TB NVME.M2 with self-encryption
USB 4x USB TypeC
Ethernet 1x RJ-45 connector - 10 GbE
NIC ConnectX-7 Smart NIC
Wi-Fi WiFi 7
Bluetooth BT 5.3
Audio-output HDMI multichannel audio output
Power Supply 240W
GB10 TDP 140W
Display Connectors 1x HDMI 2.1a
NVENC | NVDEC 1x | 1x
OS NVIDIA DGX™ OS
System Dimensions 150 mm L x 150 mm W x 50.5 mm H
System Weight 1.2 kg
Warranty

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Scan Cloud NVIDIA DGX Spark Personal AI Supercomputer - 1 Week Access
Scan Cloud NVIDIA DGX Spark Personal AI Supercomputer - 1 Week Access