RTX Spark 笔记本电脑现已由华硕 (ASUS)、戴尔 (Dell)、惠普 (HP)、联想 (Lenovo)、微软 (Microsoft) 和微星 (MSI) 发售。这些强大的系统将 NVIDIA Blackwell RTX GPU 和 NVIDIA Grace CPU 集成在一个超级芯片中，配备高达 128GB 的统一内存和高达 1 petaflop 的 FP4 AI 性能。这将 NVIDIA CUDA 平台、RTX 图形技术以及个人 AI 超级计算机的能力融入高端 Windows 笔记本电脑中，使其能够随时随地使用。
这些模型支持本地工作流程，例如在 Hermes Agent、Pi 和 OpenClaw 中运行的智能体，用于分类收件箱和管理日历、阅读文档和应用屏幕、转录和翻译语音、回答关于手写数学的语音问题，以及路由支持工单或语音请求。
NVIDIA 与 S-GAME Studio 和 S-GAME Publishing 合作，为该作品添加了光线追踪效果。在 RTX Spark 笔记本电脑和搭载 GeForce RTX GPU 的 PC 上，光线追踪增加了更准确的反弹光照、详细的反射以及植被和地形的逼真阴影。NVIDIA DLSS 动态多帧生成功能通过最高 6 倍的帧生成来提升帧率，或实时调整乘数以达到玩家的目標帧率。
此次更新还添加了带有 3D 引导神经渲染的 DLSS 5、最高 6 倍的多帧生成、原生 RTX Spark 支持以及智能体辅助工作流程。从今天起，这些升级也应用于 Portal with RTX 和 Half-Life 2 RTX 演示版。两者现在都支持 RTX Spark，具备用于更逼真光照和材质的 DLSS 3D 引导神经渲染、DLSS 帧生成的新模式以及加速路径追踪的新选项。
RTX Remix 1.6 还简化了 AI 驱动的模组制作。重新设计的 ComfyUI 工作流程允许模组制作者直接在 RTX Remix 内生成基于物理的材质，无需设置应用程序编程接口 (API)，支持完整项目的批处理，并为非技术性创作者提供预设。此外，借助 NVIDIA 智能体技能，兼容的智能体可以直接与 RTX Remix 协作，帮助加快重制项目的进度。
RTX Spark 笔记本电脑有多种设计可供选择，用户可以根据自己的工作和娱乐方式选择合适的型号。选项包括不同的屏幕尺寸、颜色、触摸屏、触控笔支持和二合一翻盖式电脑。RTX Spark 笔记本电脑厚度薄至 14mm，轻至三磅，并拥有全天候电池续航。
如此纤薄的设计之所以可能，是因为 RTX Spark 将 GPU、CPU 和高达 128GB 的统一内存放置在一个能效极高的超级芯片上。创意项目和 AI 模型共享同一内存池，因此即使在不插电的情况下，笔记本电脑也能承担以往需要台式机工作站才能完成的工作。
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NVIDIA RTX Spark powers thin and light laptops built for everything that developers, creators and gamers do.
RTX Spark laptops are now available from ASUS, Dell, HP, Lenovo, Microsoft and MSI. These powerful systems combine an NVIDIA Blackwell RTX GPU and an NVIDIA Grace CPU in a single superchip with up to 128GB of unified memory and up to 1 petaflop of FP4 AI performance. That puts the NVIDIA CUDA platform, RTX graphics and the capabilities of a personal AI supercomputer inside premium Windows laptops built to go anywhere.
New and expected RTX Spark updates, coming soon, include:
- NVIDIA Nemotron 3.5 Transcribe, an open weight speech model for transcription, speaker attribution and translation is available on RTX Spark.
- The LFM3 family of open models with day-zero support.
- Resource management controls in NVIDIA App to allocate GPU resources between foreground apps and background agents.
- Phantom Blade Zero, S-GAME’s highly-anticipated action role-playing game, launches with ray tracing and NVIDIA DLSS 4.5.
- Experience Minecraft with path tracing and DLSS with RTX Remix1.6, available now for RTX Spark.
Turn Recorded Audio Into Useful Information With NVIDIA Nemotron 3.5 Transcribe
Introduced today, NVIDIA Nemotron 3.5 Transcribe is a new, open weight speech model that turns recorded conversations into useful information. Instead of needing multiple models for transcription, speaker labels and translation, developers can use one promptable model that handles all three, plus questions about the audio. It transcribes 40 languages, including seven Indic languages.
Developers guide the model with plain-language prompts. For example, for a single recorded meeting, users can ask it to:
- “Transcribe this recording and label each speaker.”
- “Translate this audio into English.”
- “List what decisions were made in this meeting.”
Prompts can also include product terms and formatting conventions, which helps the model handle specialized vocabulary in fields like healthcare, financial services and customer service. Because the weights are open, developers can choose where audio is processed, from a desktop to the cloud.
Nemotron 3.5 Transcribe ranks No. 1 on the Hugging Face Open ASR and No. 2 among open weight models on Artificial Analysis — delivering leading accuracy with approximately 4.3 billion active parameters, 80% fewer than the No. 1 open weight model, making high-quality, intelligent transcription more practical on local hardware.
It’s available today on Hugging Face. Quantized versions are coming soon, so developers can run Transcribe locally onNVIDIA RTX Spark and DGX Spark systems, Jetson AGX Thor devices or scale up on NVIDIA Blackwell data center GPUs. NVFP4 versions will be deployable through NeMo-Speech.cpp or vLLM.
Learn more in the NVIDIA technical blog.
Control How Agents and PC Apps Share GPU Resources
On RTX Spark, users can have long-running agents working alongside their favorite applications. Both share the system’s GPU compute, and the right balance of resources depends on what matters to users at that moment.
With the new resource management feature in NVIDIA App, users can now choose how GPU resources are shared. They can prioritize their foreground app for the best performance, or give their background-running agent more resources to get work done faster.
Access control resource sharing from System > Advanced in the NVIDIA App. This feature requires hardware-accelerated GPU scheduling to be enabled in Windows Settings.
Liquid AI**: One Model Family, Many Ways to Work**
Liquid AI’s LFM3 provides a new generation of Liquid Foundation Models designed for specialized tasks. The family spans text, vision, audio, omni and decision models built on one shared backbone, with base and post-trained models available as open weights. The models are compact and fast: Liquid AI’s new 1.7-billion-parameter base model outperforms its previous 2.6-billion-parameter base model.
These models support local workflows such as agents running in Hermes Agent, Pi and OpenClaw to triage inboxes and manage calendars, read documents and app screens, transcribe and translate speech, answer spoken questions about handwritten math, and route support tickets or voice requests.
Developers can run LFM3 models on RTX Spark with native support through llama.cpp and vLLM, and fine-tune the models locally.
‘Phantom Blade Zero’ Launches With DLSS 4.5
S-GAME’s Phantom Blade Zero launches tonight, Oct. 28, at 7 p.m. PT on Steam and the Epic Games Store. Players can take on the role of Soul, a swordsman framed for his master’s murder, as he travels the martial world to uncover a conspiracy.
NVIDIA worked with S-GAME Studio and S-GAME Publishing to add ray-traced effects to the title. On RTX Spark laptops and GeForce RTX GPU-powered PCs, ray tracing adds more accurate bounced lighting, detailed reflections and realistic shadows on foliage and terrain. The NVIDIA DLSS Dynamic Multi Frame Generation feature boosts frame rates with up to 6x frame generation, or adjusts the multiplier on the fly to hit a player’s target frame rate.
Read more on GeForce.com.
RTX Remix Breathes New Life Into Classics
NVIDIA RTX Remix, the modding platform for remastering classic games with path tracing and DLSS, released version 1.6 last week. This update brought RTX Remix to the world’s largest gaming community: Minecraft. Both creators and players can render Minecraft Java Edition 1.21.1 through RTX Remix with DLSS-accelerated path tracing and take full advantage of realistic lighting and materials in their future creations.
The update also adds DLSS 5 with 3D-Guided Neural Rendering, up to 6x Multi Frame Generation, native RTX Spark support and agent-assisted workflows. Starting today, those upgrades come to Portal with RTX and the Half-Life 2 RTX demo. Both now support RTX Spark, with DLSS 3D-Guided Neural Rendering for more lifelike lighting and materials, a new Performance Mode for DLSS Frame Generation and new options that speed up path tracing.
RTX Remix 1.6 also makes AI-powered modding simpler. A redesigned ComfyUI workflow lets modders generate physically based materials directly inside RTX Remix, with no application programming interface setup, batch processing for full projects and presets for less technical creators. Plus, with NVIDIA agent skills, compatible AI agents can work directly with RTX Remix to help speed up remastering projects.
Learn more in the RTX Remix blog.
RTX Spark Laptops: Beautifully Designed, Built for Everything
RTX Spark laptops come in a range of designs, so users can choose one that fits how they work and play. Options include different screen sizes, colors, touchscreens, pen support and two-in-one convertibles. RTX Spark laptops are as thin as 14mm and as light as three pounds, with all-day battery life.
Such slim designs are possible because RTX Spark places the GPU, CPU and up to 128GB of unified memory on one power-efficient superchip. Creative projects and AI models draw from the same memory pool, so a laptop can take on work that used to call for a desktop workstation, even when unplugged.
Here’s what this means for:
- AI developers: Run models and agents locally on NVIDIA CUDA — the same platform that powers AI in the cloud — with a path to deploy across more than 150 million NVIDIA RTX AI PCs and NVIDIA GPUs in the cloud.
- Creators: RTX Spark can edit camera native 4:2:2 video and render 3D scenes of up to 90GB. Adobe Photoshop and Premiere offer native RTX Spark support through beta releases.
- Gamers: Hundreds of games run on RTX Spark, with NVIDIA DLSS, ray tracing, Reflex and G-SYNC delivering sharper visuals and smoother, more responsive gameplay.
RTX Spark laptops are available now from ASUS, Dell, HP, Lenovo, Microsoft and MSI, starting at $2,599, with 128GB configurations on shelves. Find a laptop on the RTX Spark product page.
#ICYMI: More Updates From NVIDIA Local AI
🦆Microducks learn to walk with help from RTX Spark: During the GTC Berlin keynote, NVIDIA founder and CEO Jensen Huang showed how AI agents running on RTX Spark can help train Hugging Face’s Microduck robot. A new NVIDIA technical blog walks through the workflow: Hermes Agent and Nemotron 3.5 Bolt plan an obstacle course on RTX Spark, Astra builds the 3D assets, NVIDIA Isaac Lab trains the navigation policy and RTX Spark validates it in NVIDIA Isaac Sim. Watch the demo and try the playbook.
⚡NVIDIA Nemotron 3.5 Bolt E4B 4GB is now available, enabling natural conversations and multistep agent tasks with as little as 4GB of memory. The model powers local voice assistants, game characters and embedded interfaces on RTX Spark, DGX Spark, GeForce RTX GPUs and NVIDIA Jetson devices. It supports llama.cpp, vLLM, Ollama, Unsloth and LM Studio, and works with Hermes and OpenClaw. For more demanding agent workloads, Nemotron 3.5 Bolt 74B-A9B 24GB is designed to run local agents on RTX Spark.
🖼️Black Forest Labs’ FLUX 3 Image Klein is a 5.6-billion-parameter open weights model that lets users generate and edit images locally. NVIDIA-optimized versions run on RTX GPUs with as little as 8GB of VRAM. Developers can also fine-tune the model on RTX Spark using an NVIDIA NeMo AutoModel recipe to customize it for specific creative workflows.
🖥️NVIDIA DGX Spark 64GB is now available to purchase from manufacturer partners, giving developers and researchers another way to build and run AI locally. Powered by the GB10 Grace Blackwell Superchip, it combines 64GB of unified memory with DGX OS and the NVIDIA AI software stack for agent development, inference and fine-tuning. Learn more and explore purchase options.
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