# NVIDIA RTX Spark

NVIDIA's RTX Spark laptops are now on sale from ASUS, Dell, HP, Lenovo, Microsoft and MSI starting at $2,599, pairing a Blackwell RTX GPU with a Grace CPU on one superchip with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. The accompanying updates include Nemotron 3.5 Transcribe, an open weight speech model that handles transcription, speaker labeling and translation in one promptable model across 40 languages, ranking No. 1 on Hugging Face Open ASR with about 4.3 billion active parameters. A new NVIDIA App resource control lets users split GPU resources between foreground apps and background agents.

NVIDIA's RTX Spark laptops are now on sale from ASUS, Dell, HP, Lenovo, Microsoft and MSI starting at $2,599, pairing a Blackwell RTX GPU with a Grace CPU on one superchip with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. The accompanying updates include Nemotron 3.5 Transcribe, an open weight speech model that handles transcription, speaker labeling and translation in one promptable model across 40 languages, ranking No. 1 on Hugging Face Open ASR with about 4.3 billion active parameters. A new NVIDIA App resource control lets users split GPU resources between foreground apps and background agents.

NVIDIA introduced RTX Spark, a Windows PC platform for AI development, creation and gaming in slim laptops and compact desktops, pairing a Blackwell RTX GPU and Grace CPU with up to 128 GB of unified memory and the full CUDA and RTX stack. For game developers it carries DLSS 5 with 3D-Guided Neural Rendering, the locally running Nemotron 3.5 Bolt E4B 4GB in-game agent model, and RTX Kit, Nsight and Unreal Engine tooling with native Arm64 support. The October DLSS 5 model update runs 2x faster than the September version, halves GPU overhead and cuts VRAM use at 4K by 20%.

NVIDIA introduced RTX Spark, a Windows PC platform for AI development, creation and gaming in slim laptops and compact desktops, pairing a Blackwell RTX GPU and Grace CPU with up to 128 GB of unified memory and the full CUDA and RTX stack. For game developers it carries DLSS 5 with 3D-Guided Neural Rendering, the locally running Nemotron 3.5 Bolt E4B 4GB in-game agent model, and RTX Kit, Nsight and Unreal Engine tooling with native Arm64 support. The October DLSS 5 model update runs 2x faster than the September version, halves GPU overhead and cuts VRAM use at 4K by 20%.

At GTC Berlin, Nvidia laid out a local AI hardware line running from Windows PCs to desk-side workstations, and said DGX Spark can be manually configured into clusters of up to eight units with 1TB of unified memory, enough to run frontier-class models such as GLM 5.3. Previously, local devices were bounded by single-machine memory and ran smaller models or leaned on the cloud. A companion NVIDIA Sync Model Launcher reduces model download, container setup and OpenCode connection to a few clicks.

At GTC Berlin, Nvidia laid out a local AI hardware line running from Windows PCs to desk-side workstations, and said DGX Spark can be manually configured into clusters of up to eight units with 1TB of unified memory, enough to run frontier-class models such as GLM 5.3. Previously, local devices were bounded by single-machine memory and ran smaller models or leaned on the cloud. A companion NVIDIA Sync Model Launcher reduces model download, container setup and OpenCode connection to a few clicks.

NVIDIA's RTX Spark laptops and compact desktops put local coding-agent inference, testing and deployment on a single machine. The prior workflow was split across a laptop, a cloud model API and a cloud VM. Built on the GB10 system-on-a-chip with up to 128GB of unified memory, NVIDIA reports 4.6x coding-agent performance, 2.7x fine-tuning and 1.8x code compilation versus Intel's Panther Lake 12Xe.

NVIDIA's RTX Spark laptops and compact desktops put local coding-agent inference, testing and deployment on a single machine. The prior workflow was split across a laptop, a cloud model API and a cloud VM. Built on the GB10 system-on-a-chip with up to 128GB of unified memory, NVIDIA reports 4.6x coding-agent performance, 2.7x fine-tuning and 1.8x code compilation versus Intel's Panther Lake 12Xe.

NVIDIA and Microsoft said they are co-engineering hardware and software for AI agents on Windows PCs, with RTX Spark laptops on preorder now and shipping October 16, offering up to 128GB unified memory and a petaflop of FP4 compute so a 125B-class model runs locally, unmetered.

NVIDIA and Microsoft said they are co-engineering hardware and software for AI agents on Windows PCs, with RTX Spark laptops on preorder now and shipping October 16, offering up to 128GB unified memory and a petaflop of FP4 compute so a 125B-class model runs locally, unmetered.