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Reported directly by NVIDIA — the official primary source for this announcement.

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Home/Tech/NVIDIA Schedules October 16 Global Events for RTX Spark Launch
VERIFIEDBy Xavier Rivera·Wednesday, October 14, 2026 at 11:02 AM EDT·1 min read

NVIDIA Schedules October 16 Global Events for RTX Spark Launch

NVIDIA will celebrate the RTX Spark launch with global events on October 16, including in-person gatherings and an Instagram livestream. The systems combine up to 6,144-core Blackwell GPUs and 128 GB unified memory for local AI, creation, and gaming workloads on Windows PCs.

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NVIDIA Schedules October 16 Global Events for RTX Spark Launch
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NVIDIA will hold worldwide events on October 16 to mark the launch of RTX Spark systems.

Events span multiple cities with live options. Attendees can join in-person gatherings featuring demos, entertainment, and giveaways. Those unable to attend can watch a special celebration streamed live on Instagram.
CUDA runs natively, enabling models up to 120B parameters with 1M context entirely on-device without API costs or data transfer.

The company directs interested participants to its event listings for locations and access details.
POST FROM @nvidia· Official NVIDIA announcement introducing RTX Spark
https://x.com/nvidia/status/2085063285259309121

RTX Spark targets slim laptops and compact desktops. The systems combine a Blackwell RTX GPU with up to 6,144 cores and a Grace CPU with up to 20 cores. Unified memory reaches 128 GB, delivering up to 1 petaflop of FP4 AI performance.
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Platform supports multiple user groups. Creators gain RTX acceleration for 3D, video, and AI applications through NVIDIA Studio. Developers access the full CUDA stack for local model building and agent prototyping. Gamers receive ray tracing, DLSS, and Reflex features for current titles.

Design emphasizes efficiency and local AI use. The hardware claims all-day battery life in slim chassis while running agents continuously in desktops. CUDA runs natively, enabling models up to 120B parameters with 1M context entirely on-device without API costs or data transfer.
Unified memory reaches 128 GB, delivering up to 1 petaflop of FP4 AI performance.
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Preorders are open through the NVIDIA site. The product page outlines separate sections for platform overview, creator tools, developer resources, and gaming capabilities.
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