NVIDIA RTX Spark laptops arrive from six OEMs at $2,399 with 128GB unified memory and 1 PFLOP FP4

NVIDIA's RTX Spark platform is now shipping in slim premium laptops from six major OEMs, including Microsoft's own Surface line. The machines combine Blackwell RTX graphics with up to 128GB of unified memory shared between CPU and GPU, plus roughly 1 PFLOP of FP4 throughput. NVIDIA's investor release calls it 'a new beginning for Windows PCs'.

The technical point is the unified memory pool. Discrete laptop GPUs have been capped at 16-24GB of VRAM, which limits local inference to small or heavily quantized models. A 128GB shared pool puts 70B-class dense models, and quantized MoE models such as NVIDIA's own 2-bit Nemotron 3.5 Bolt 74B-A9B, within reach of a laptop. NVIDIA's developer blog frames the machine as a full agent workstation: write code, run local models, test agents and deploy from one box.

The obvious competitor is Apple. M5 Max and M5 Ultra Macs have owned the 'big local model' niche thanks to their unified memory, and the same week Apple showed two Mac Studios running Meta's 816B Muse Spark Open. r/nvidia's analysis thread asks whether RTX Spark is 'finally an answer to Apple's M5 Pro & M5 Max'. The Verge highlighted that the platform also advances Arm-on-Windows.

Some caveats apply. Starting prices cover base configurations, and 128GB SKUs will cost substantially more. Software maturity for Arm Windows and local-model tooling remains a question. Some r/nvidia users are also complaining that an AI agent ships enabled by default in NVIDIA's software. Expect more detail at GTC Berlin next week.