NVIDIA RTX Spark reinvents Windows PCs with 1-petaflop superchip for personal AI agents

Reviewed byNidhi Govil

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NVIDIA unveiled RTX Spark, a superchip delivering 1 petaflop of AI performance to Windows PCs built for personal AI agents. The NVIDIA and Microsoft collaboration introduces new security features and NVIDIA OpenShell runtime, enabling on-device agents to run privately on laptops with all-day battery life. Adobe is rearchitecting Photoshop and Premiere for 2x performance gains.

NVIDIA RTX Spark Brings Personal AI to Windows PCs

NVIDIA unveiled RTX Spark at GTC Taipei during COMPUTEX, introducing what the company calls a new beginning for Windows PCs purpose-built for personal AI agents

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. The RTX Spark superchip delivers up to 1 petaflop of AI compute and 128GB of unified memory, designed to handle the processing demands of local AI agents running entirely on device

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. This marks a shift from PCs as tools to what NVIDIA CEO Jensen Huang describes as teammates, where users ask and the PC executes complex workflows.

Source: NVIDIA

Source: NVIDIA

The announcement comes as open source agent projects like OpenClaw and Hermes Agent gain rapid adoption across developer communities on GitHub and OpenRouter

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. These on-device agents can interact with applications, generate content, automate repetitive processes, and manage multi-step tasks while running locally. The RTX Spark superchip combines a Blackwell RTX GPU featuring 6,144 CUDA cores with fifth-generation Tensor Cores using FP4 precision, connected via NVIDIA NVLink-C2C chip-to-chip interconnect to a 20-core Grace CPU

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. MediaTek collaborated with NVIDIA on the custom CPU design, contributing to its power efficiency and performance.

NVIDIA and Microsoft Collaboration Delivers Secure Agent Platform

The NVIDIA and Microsoft collaboration addresses a critical barrier to agent adoption: the inability to run agents securely and privately on users' primary devices

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. The partnership introduces new Windows security primitives alongside the NVIDIA OpenShell runtime to ensure agents operate safely under full user control. These Windows security primitives deliver identity, containment, policy, and end-to-end security capabilities for building and running agents natively on Windows PCs for AI

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NVIDIA OpenShell adds policy capabilities allowing users to define what agents can and cannot do, intelligently route queries to local models based on privacy policies, and disguise personal information in queries sent to cloud models

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. Leading agent developers including Hermes Agent and OpenClaw are integrating OpenShell and Microsoft security primitives into their new Windows applications. Vincent Koc, chief architect at the OpenClaw Foundation, stated they are "strong supporters of deploying agents like OpenClaw securely into the Windows ecosystem"

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Performance Gains and Ecosystem Expansion

NVIDIA announced 2x inference performance on top agentic models through multi-token prediction in llama.cpp and vLLM, alongside new multi-GPU optimizations for llama.cpp and ComfyUI

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. Multi-token prediction is a speculative decoding technique where a smaller draft model proposes multiple tokens at once that the target model verifies in a single pass. The NVIDIA NemoClaw blueprint is expanding across NVIDIA's full local AI lineup including GeForce RTX, RTX PRO, RTX and DGX Spark, and DGX Station with streamlined installers and support for Hermes Agent

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RTX Spark enables users to render 90GB+ 3D scenes, edit 12K 4:2:2 video, generate 4K AI videos, run 120B-parameter LLMs with up to 1 million tokens context using agents locally, and play AAA games at 1440p exceeding 100 frames per second

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. Adobe is rearchitecting Photoshop and Premiere from the ground up for RTX Spark to deliver 2x faster AI and graphics performance, while Blender is adding NVIDIA DLSS 4.5 Ray Reconstruction

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Source: NVIDIA

Source: NVIDIA

Market Availability and Enterprise Solutions

RTX Spark-powered slim Windows laptops with all-day battery life and compact desktop PCs will be available this fall from ASUS, Dell, HP, Lenovo, Microsoft Surface, and MSI, with models from Acer and GIGABYTE to follow

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. For enterprise professionals, NVIDIA introduced DGX Station for Windows, described as the ultimate AI deskside supercomputer bringing data-center-class GPU and CPU for inference in a desktop system equipped with Windows for manageability, security, and compatibility

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. This expansion positions NVIDIA to capture both consumer and professional markets as personal AI adoption accelerates, with the unified memory architecture proving essential for running frontier models locally while maintaining privacy and security standards that enterprise users demand.🟡,🟡

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