RTX Spark vs DGX Spark: Differences, Specs and Which to Buy (2026)
RTX Spark vs DGX Spark explained: same Grace Blackwell idea, different operating systems, memory options, form factors and buyers. Specs table and buying advice.
The one-sentence difference
DGX Spark is an AI developer appliance running NVIDIA's Linux-based DGX OS; RTX Spark brings closely related silicon to everyday Windows laptops and desktops, with RTX graphics for games and creative apps.
Specs side by side
RTX Spark figures vary by manufacturer configuration.
| DGX Spark | RTX Spark (N1X) | |
|---|---|---|
| CPU | 20-core Arm | 20-core or 18-core Grace Arm |
| GPU | Blackwell, 6,144 CUDA cores | Blackwell RTX, 6,144 or 5,120 CUDA cores |
| Memory | 128 GB fixed | 24–128 GB |
| OS | DGX OS (Ubuntu) | Windows on Arm |
| Form factor | Mini desktop | Laptops and desktops |
| Clustering | 2 units via ConnectX-7 | Network-based, OEM-dependent |
| Available | Since October 2025 | From October 2026 |
Software differences
DGX Spark ships ready for CUDA, containers, NIM microservices and the NVIDIA AI stack. RTX Spark runs Windows, so you get desktop apps, games and Copilot features; local AI runs through Windows-native runtimes, WSL and tools such as Ollama and llama.cpp. NVIDIA's agent tooling targets both.
Who should buy which
Decide by how you work rather than by raw specs.
- Headless AI server next to your main PC → DGX Spark.
- Laptop you carry and also run agents on → RTX Spark laptop.
- Need 128 GB on Windows → top RTX Spark configuration.
- Tight budget, light AI → 32 GB RTX Spark.
- Planning to link two machines for 200B+ models → DGX Spark.
Decision matrix
Both use NVIDIA Grace CPU + Blackwell GPU silicon with unified memory. The real differences are operating system, form factor, memory options and price.
| If you need… | Pick |
|---|---|
| Portability, battery, Windows apps | RTX Spark laptop |
| 128 GB at the lowest price | DGX Spark |
| Linux, CUDA containers, NVIDIA AI stack out of the box | DGX Spark |
| Gaming and creative apps alongside AI | RTX Spark |
| Two-unit clustering for 200B-class models | DGX Spark |
| A single machine for everyday work + local 7–32B models | RTX Spark (32–64 GB) |
Software ecosystem differences
DGX Spark runs DGX OS, so Linux-native AI tooling (vLLM, TensorRT-LLM, PyTorch containers) works as expected. RTX Spark runs Windows on Arm: Ollama, LM Studio and llama.cpp have Arm64 builds, and WSL is available, but some x86-only tools rely on emulation. Check your must-have apps before buying.
How RTXsparks sources and checks these numbers
RTXsparks is independent and not affiliated with NVIDIA or any OEM. Prices come from manufacturer launch announcements and retailer listings (US MSRP before tax unless stated). Specs come from official product pages. Performance figures are either our own lab runs, labelled community submissions, or clearly marked estimates derived from memory bandwidth. Anything a vendor has not publicly confirmed is labelled 'unconfirmed'. See the methodology page for the full SCS, ARS and TLS scoring rules.
- Prices re-checked weekly during the launch window.
- Estimates are always labelled as estimates — never presented as measured results.
- Corrections are welcome via the benchmark submission page.
Which one should you buy? A quick guide
Match your situation to the right machine.
| If you… | Choose |
|---|---|
| Need a laptop you carry every day | RTX Spark |
| Want the most memory per dollar | DGX Spark |
| Want Windows apps and gaming too | RTX Spark |
| Run agents 24/7 on a desk | DGX Spark |
| Plan to cluster two machines | DGX Spark |
Can you use both together?
Yes. A common setup is an RTX Spark laptop as the daily machine and a DGX Spark at home or in the office running the large models, reached over the network. The laptop handles small models offline; the desktop handles the heavy lifting.
Frequently asked questions
Is RTX Spark the same chip as DGX Spark?
They share the Grace CPU plus Blackwell GPU design with unified memory, but RTX Spark is packaged and configured for Windows PCs with a range of memory sizes.
Can DGX Spark run Windows?
No. It runs DGX OS, an Ubuntu-based Linux. RTX Spark is the Windows option.
Which is faster for AI?
At the top configuration they are in the same class. Real speed depends on memory size, bandwidth and cooling in each specific product.
Which is better for local LLMs?
With equal memory they are similar. DGX Spark offers 128 GB for less money and a Linux AI stack; RTX Spark wins on portability and Windows compatibility.
Is RTX Spark faster than DGX Spark?
Not for large models. DGX Spark has 128 GB at a lower price; RTX Spark trades some capability for portability and Windows.
Do RTX Spark and DGX Spark use the same chip?
They share the Grace-Blackwell design family, but RTX Spark laptops use N1X configurations rather than the GB10 in DGX Spark.
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