# Nemotron 3.5 Bolt

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%.

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 released three open Nemotron 3.5 models: the 120-billion-parameter Super VL for multimodal agentic tasks, which reaches leading accuracy on instruction following, tool use, multistep business workflows and visual understanding comparable with NVIDIA's largest reasoning model at roughly one-fifth the parameter count, plus the edge-oriented Bolt 74B-A9B 24GB and Bolt E4B 4GB. Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23, covering deployments from enterprise servers down to local hardware.

NVIDIA released three open Nemotron 3.5 models: the 120-billion-parameter Super VL for multimodal agentic tasks, which reaches leading accuracy on instruction following, tool use, multistep business workflows and visual understanding comparable with NVIDIA's largest reasoning model at roughly one-fifth the parameter count, plus the edge-oriented Bolt 74B-A9B 24GB and Bolt E4B 4GB. Super VL and Bolt 74B-A9B are available now, with Bolt E4B coming Oct. 23, covering deployments from enterprise servers down to local hardware.