RTX Spark is a platform for Windows 11 on Arm laptops and compact PCs; DGX Spark is a compact AI development computer running Ubuntu-based DGX OS. They share NVIDIA’s Blackwell-era AI technology, but differ in operating system, hardware configuration, and intended use. RTX Spark PCs are due in October 2026; DGX Spark is already released.
If you need a laptop for Windows applications, RTX Spark is the relevant product family. If you need a separate Linux-based machine for local model development, investigate DGX Spark. Neither name alone tells you how fast your particular model or application will run.
RTX Spark vs DGX Spark at a glance
| Feature | RTX Spark | DGX Spark |
|---|---|---|
| Product | Platform used in partner laptops and small desktops | Compact desktop AI computer |
| Chip | RTX Spark N1X in the highest listed configuration | NVIDIA GB10 Grace Blackwell Superchip |
| CPU | Up to 20 Arm CPU cores | 20 Arm cores: 10 Cortex-X925 and 10 Cortex-A725 |
| GPU | Up to 6,144 Blackwell RTX cores | Blackwell GPU with 6,144 CUDA cores |
| Unified memory | Up to 128 GB; configurations vary by device | 128 GB LPDDR5X |
| Memory bandwidth | Check the exact partner device’s specification | 273 GB/s |
| Operating system | Windows 11 on Arm | Ubuntu-based NVIDIA DGX OS |
| Published AI peak | Up to 1 PFLOP at FP4 | 1 PFLOP at FP4, theoretical and using sparsity |
| Main use | Windows creative work, RTX gaming, and local AI | AI development, prototyping, and local model workflows |
| Availability as of September 5, 2026 | October 2026 window announced | Already released; stock depends on seller and region |
Specifications come from NVIDIA’s RTX Spark page and DGX Spark hardware documentation. The DGX product specifications qualify its AI peak with precision and sparsity conditions. These are vendor specifications, not results from a side-by-side test.
Are RTX Spark and DGX Spark the same hardware?
No. The top RTX Spark configuration is identified as N1X, while DGX Spark uses GB10. Similar CPU counts, memory capacities, or Blackwell branding do not make the complete systems interchangeable.
For a laptop, cooling, battery operation, display, ports, and power limits are part of the product. A small desktop has different physical constraints. Even two computers with similar peak specifications can sustain different speeds over a long workload.
If you are comparing an RTX Spark desktop vs DGX Spark, you still need to compare their operating systems, supported software, connections, and exact configurations. Moving RTX Spark out of a laptop does not automatically make it a DGX system. Our RTX Spark specifications guide explains the platform terms.
Windows 11 vs DGX OS
Microsoft’s RTX Spark announcement describes Windows work on scheduling, power, unified memory, and Prism emulation. RTX Spark is intended to bring NVIDIA’s graphics and AI software into Windows on Arm PCs.
That does not mean every Windows program will work unchanged. Before relying on a particular game, peripheral, plug-in, or development tool, check its Arm support. Emulating a desktop application is not the same as having a compatible driver or anti-cheat component; Microsoft’s Windows on Arm FAQ explains those limitations.
DGX Spark instead provides a Linux-based environment. NVIDIA’s software requirements guide covers its Arm64 software environment. A Linux application or container built only for x86-64 is not automatically a drop-in replacement. Check dependencies as well as the main framework.
Which is more useful for local AI?
Choose the software workflow before the headline compute number.
For an everyday Windows machine, RTX Spark combines a PC’s other tasks with local AI work. Check whether your model runner, creative app, and development dependencies support that Windows Arm configuration.
For a dedicated AI development system, DGX Spark offers a separate Linux-based computer. It can suit a workflow where you keep your current everyday computer and use another machine for models and experiments. You will still need the skills to manage its software, updates, and workloads.
For large local models, memory capacity is only the first check. Model weights, runtime overhead, context length, and concurrent requests all consume memory. A model fitting into memory does not guarantee a comfortable generation speed. Compare the actual model, quantization, context, and measured throughput you plan to use.
Does 1 PFLOP mean equal performance?
No. A peak FP4 figure describes particular low-precision calculations under stated conditions. DGX’s published figure explicitly uses sparsity. It does not establish equal tokens per second, training speed, rendering performance, or gaming frame rates across the two platforms.
A useful comparison should hold the model, precision, software version, and workload constant. For portable systems, also check plugged-in versus battery operation and sustained performance, not just a brief peak.
Do not transfer DGX Spark’s 273 GB/s bandwidth specification to an RTX Spark laptop because both have “Spark” in the name. Use the specification for the exact device.
Availability and what to check next
NVIDIA’s September 3 RTX Spark update gives an October 2026 availability window. That narrows the earlier fall window, but does not establish a single price or shipping date for every partner computer.
DGX Spark was released in October 2025. Its purchase decision is different: check the current configuration, local stock, support, and total cost rather than waiting for an initial platform announcement.
For the broader PC overview, see what RTX Spark is. If you are comparing a Windows machine with a Mac, use our RTX Spark vs Apple Silicon guide.
FAQ
Is RTX Spark a cheaper DGX Spark?
Not necessarily. RTX Spark is a PC platform with device-specific prices, while DGX Spark is a separate AI computer. Compare the exact configurations and current official offers, not just the names.
Do RTX Spark and DGX Spark use the same chip?
NVIDIA lists N1X for the top RTX Spark configuration and GB10 for DGX Spark. The published specifications do not establish whether the underlying silicon is identical. Similar core counts do not make the complete systems or their software interchangeable.
Does DGX Spark run Windows?
Its supplied software environment is Ubuntu-based NVIDIA DGX OS. Do not assume Windows driver or application support from RTX Spark applies to it.
Is DGX Spark intended for gaming?
NVIDIA positions it primarily for AI development and model workflows. RTX Spark is the family explicitly positioned to include Windows gaming, though each game’s Arm compatibility still matters.
Does 128 GB of memory mean the same AI speed?
No. Capacity affects what can fit; bandwidth, compute, precision, context length, software, and power limits affect how quickly the workload runs.
When will RTX Spark PCs be available?
NVIDIA’s September 3, 2026 update says October 2026. Specific partner models, configurations, countries, and prices should be checked on the manufacturer’s product page.