Updated 5 November 2026: RTX Spark has launched. The earlier comparison used projected products and unverified prices. This revision compares documented platforms; VelsTech has not benchmarked these machines side by side.
Three different platforms
- DGX Spark: GB10, Arm CPU, Blackwell GPU, 128 GB unified memory and Linux-based DGX OS in NVIDIA's documented system.
- RTX Spark N1X: Windows 11 laptops and desktops. Upper configurations support up to 128 GB; the smaller laptop tier supports up to 32 GB. It is not simply a GB10 desktop with another OS. Laptop availability began 16 October 2026.
- Ryzen AI Max+ 395: x86 processor with Radeon 8060S graphics and support for up to 128 GB LPDDR5x. Actual memory and GPU allocation depend on the complete machine and firmware.
Capacity is not throughput
The old claim that Ryzen AI Max is limited to roughly 13B models was too restrictive. AMD has published a 70B quantized-model demonstration on a 128 GB configuration. That does not guarantee every 70B model, context length or runtime will fit or respond quickly.
Shared memory serves the OS, applications, weights and cache. Ask for a test with your exact model, quantization, context and concurrency. Sparse FP4 peak figures and NPU TOPS use different conditions; neither is a measured tokens-per-second comparison.
What to buy for your work
Evaluate DGX Spark when your tools require its Linux/CUDA environment; RTX Spark when you need its Windows/Arm platform; and a Ryzen AI Max system when x86 compatibility and its available GPU runtimes suit your applications. Check native packages and drivers before choosing.
Get a current quote for the exact RAM/storage configuration, local warranty, taxes and import costs. The former $3,000 DGX and estimated Indian prices have been removed because they do not establish today's delivered cost. Model fit and a dated seller quote are better purchase evidence than a platform name.