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What Can You Run on This?

No cloud subscription. Your data stays on your hardware.

Large Language Models

Image Generation

ML Training & Fine-tuning

Private AI / GDPR Compliance

Video AI

Software Development & Research

Technical Specifications

Compute
GPU Model NVIDIA Grace Blackwell
Architecture Grace Blackwell
Tensor Performance Up to 1 PFLOP FP4
Tensor Cores 5th Generation
RT Cores 4th Generation
CUDA Cores Blackwell Generation
Memory & Storage
Unified Memory 128 GB LPDDR5x
Memory Bandwidth 273 GB/s
Memory Interface 256-bit
Storage 4 TB NVMe M.2 (self-encrypting)
Connectivity
NIC ConnectX-7 @ 200 Gbps
Ethernet 1x RJ-45, 10 GbE
Wi-Fi Wi-Fi 7
Bluetooth BT 5.4
USB Ports 4x USB Type-C
System
CPU 20-core Arm (10x Cortex-X925 + 10x Cortex-A725)
Power Draw 240W
Form Factor Desktop
Software Stack NVIDIA AI Enterprise (PyTorch, TensorFlow, JAX, RAPIDS, TensorRT)
Use Cases Large Language Models, Image Generation, ML Training & Fine-tuning, Private AI / GDPR Compliance, Video AI, Software Development & Research
Frameworks PyTorch, TensorFlow, JAX, RAPIDS, TensorRT, ONNX, Docker

Frequently asked questions

Clear answers on configuration, warranty, rental estimates, and EU delivery.

Which GPU configurations are available?

Choose a configuration with one, two, or three NVIDIA RTX 6000 Pro GPUs. The GPU and ECC RAM selectors above show the available build combinations and pricing.

Can I adjust the rental-yield estimate?

Yes. Use the calculator below to choose the number of RTX 6000 Pro GPUs and the number of rental days. It uses the current per-GPU daily market estimate shown above.

Is rental income guaranteed?

No. Rental rates, demand, uptime, marketplace fees, electricity costs, and customer demand change over time. The calculator is an estimate, not a promise of earnings.

What warranty is included?

The workstation includes a 2-year manufacturer warranty. Each NVIDIA RTX 6000 Pro GPU is also covered separately by NVIDIA manufacturer warranty terms.

Can the RAM and storage be configured?

Yes. Choose the available ECC RAM capacity above. Each workstation includes a Samsung 9100 PRO 4TB NVMe SSD, with further configuration available on request.

Do you ship across Europe?

Yes. Mineshop ships from the EU, with tracked delivery across Europe. Contact us if you need a delivery estimate or a custom workstation configuration.

NVIDIA DGX Spark Details

NVIDIA DGX Spark

Supercomputer-class AI, on your desk.

Built on the Grace Blackwell architecture — the same generation powering the world's largest AI data centres — DGX Spark delivers data-centre AI in a desktop form factor, drawing the power of a small appliance.

1 PFLOP
FP4 AI performance
240 W
Total power draw
128 GB
Unified LPDDR5x
Coherent Unified Memory

One address space. No PCIe bottleneck.

The CPU and GPU share 128 GB of LPDDR5x at full bandwidth. Large language models and multimodal workloads that demand two GPU nodes on conventional hardware run in a single coherent memory space here — no copies, no partitioning.

Ready Out of the Box

Plug in and train.

Ships with NVIDIA AI Enterprise pre-installed. PyTorch, TensorFlow, TensorRT, and RAPIDS are ready the moment you power on. The ConnectX-7 NIC links nodes at 200 Gbps without an external switch — and you can scale out to DGX Cloud when the job grows.

PyTorch TensorFlow TensorRT RAPIDS 200 Gbps ConnectX-7
Grace Blackwell · Desktop AI Supercomputer