NVIDIA RTX Spark laptops go on sale from $2,399 with up to 128GB of unified memory
The 10-14 item covered the software lineup; this is hardware on shelves and a price. Specs, price and makers, which set what running larger open models locally costs.
// Key points
- RTX Spark laptops are on sale, built on a superchip combining an NVIDIA Blackwell RTX GPU and a Grace CPU, with up to 1 petaflop of AI compute and up to 128GB of unified memory.
- Prices start at $2,399, with first systems from ASUS, Dell, HP, Lenovo, Microsoft and MSI and more on the way.
- NVIDIA held six retail launch events, in Berlin, Beijing, Istanbul, Seoul, San Francisco and Taipei, and offers developers tested recipes and playbooks for local AI on RTX Spark.
Builder's take128GB of unified memory leaves plenty of headroom for models like Nemotron 3.5 Bolt, released on 10-15 and fitting in 24GB. Don't refresh everyone's laptop yet: give one to whoever evaluates models, run a week of offline tests on private data (documents in AI Cloud Drive that shouldn't go to the cloud, say), then compare against pay-per-use APIs.
// Background · from #Open models
Full timeline →- Oct 18 DeepSeek releases V4.1-Flash-1017 under MIT: DeepSWE v1.1 rises from 74.2 to 77.0 and Terminal-Bench 4.0 from 31.2 to 42.3
- Oct 18 Tencent Hunyuan open-sources Hy-Memory-30B-A3B under Apache 2.0: a roughly 3B-active memory writer averaging 55.49 across four memory frameworks, ahead of Claude Opus 5 at 54.62
- Oct 18 NVIDIA releases Dory1.0, a looped 4B model that trades compute for accuracy by loop count: SWE-bench Verified goes from 50.3 at one loop to 61.8 at four