NVIDIA DGX Station for Windows — GB300 Grace Blackwell Ultra, 20 Petaflops FP4, 748GB Memory, Trillion-Parameter AI Agents on the Desktop

NVIDIA has announced DGX Station for Windows, a deskside AI supercomputer designed to run frontier AI models of up to 1 trillion parameters locally, directly within the Windows ecosystem. Announced at NVIDIA GTC Taipei and developed in collaboration with Microsoft, DGX Station for Windows is built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip and is expected to be available from ASUS, Dell Technologies, GIGABYTE, HP, MSI, and Supermicro in Q4 2026.

The system targets enterprise developers, researchers, engineers, designers, and data scientists who need frontier-class AI compute — historically only available in data centers running Linux — connected directly to the Windows applications and workflows they already use. DGX Station for Windows can run hundreds of agents simultaneously, supports pretraining and fine-tuning of large models, and scales workloads seamlessly to GB300 systems in the data center or cloud.

Key capabilities include up to 20 petaflops of FP4 AI performance, up to 748GB of coherent memory, 800Gb/s networking via ConnectX-8 SuperNIC, support for Windows security primitives and NVIDIA OpenShell, and optional pairing with an NVIDIA RTX PRO 6000 Blackwell Workstation GPU for physical AI workflows combining frontier compute with ray-traced visualization.

GB300 Grace Blackwell Ultra — The Superchip Inside

DGX Station for Windows is powered by the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, which connects an NVIDIA Blackwell Ultra GPU to a 72-core NVIDIA Grace CPU via NVLink-C2C chip-to-chip interconnect. The unified memory pool reaches up to 748GB of coherent memory, accessible by both CPU and GPU without data transfer overhead, enabling the system to load and run trillion-parameter AI models locally.

AI compute tops out at up to 20 petaflops of FP4 performance, which NVIDIA positions as sufficient for pretraining, fine-tuning, large-scale inference, and multi-agent deployment on a single deskside unit.

The system also integrates the NVIDIA ConnectX-8 SuperNIC, supporting network speeds of up to 800Gb/s. This enables fast data ingestion from enterprise storage and allows multiple DGX Station units to be connected for even larger distributed workloads.

AI Workflows DGX Station for Windows Supports

The system is designed to handle the full range of enterprise AI workloads, all within the Windows environment:

AI Agents — Build and run multiple frontier agents in parallel, connected directly to enterprise Windows applications and workflows. Hundreds of agents can execute simultaneously on a single DGX Station.

AI Development — Pretrain, fine-tune, and iterate on large AI models within Windows, with access to Linux AI toolchains via Windows Subsystem for Linux (WSL).

Data Science — Ingest large datasets directly into up to 748GB of coherent memory, removing data movement bottlenecks across data preparation, machine learning, and analytics pipelines.

AI Inference — Run high-throughput inference on AI models, including models up to 1 trillion parameters.

Physical AI — Pair the GB300 Superchip with an additional NVIDIA RTX PRO 6000 Blackwell Workstation GPU to combine frontier AI compute with ray-traced visualization and simulation in a single deskside unit, for agents that operate across virtual-to-physical environments.

DGX Station for Windows can function as a dedicated AI supercomputer for a single developer or as a shared local compute node for entire teams, with workloads scaling to GB300 data center systems or the cloud.

NVIDIA OpenShell — Secure Agent Runtime on Windows

Autonomous agents need a runtime that governs how they act, use tools, and interact with other system components. DGX Station for Windows supports NVIDIA OpenShell, an open-source, secure-by-design agent runtime built on the new Windows security and containment primitives from Microsoft.

OpenShell creates an individual, isolated sandbox for each agent and separates application-layer operations from infrastructure-layer policy enforcement. Security and privacy policies are applied at the system level — outside the agent’s reach — rather than relying on behavioral system prompts that agents could potentially bypass. The goal is to enforce constraints on the environment the agent runs in, preventing credential leaks or private data exposure.

For enterprise IT teams, this means agents deploy and operate within the same managed Windows environment, governed through familiar Microsoft security, compliance, and fleet management tools. Linux workloads receive the same manageability support through Windows Subsystem for Linux.

Enterprise IT and Fleet Management

One of the design priorities for DGX Station for Windows is integration with existing enterprise IT infrastructure. Organizations running Windows environments can manage DGX Station deployments using the same tools they already use for fleet management, deployment, and system updates — without building separate Linux-based infrastructure for AI workloads.

The system is positioned as both a dedicated workstation for individual developers and a shared local compute node for teams, making it applicable to engineering groups, research labs, design studios, and data science teams within the same organization.

Availability

OEM PartnerAvailability
ASUSQ4 2026
Dell TechnologiesQ4 2026
GIGABYTEQ4 2026
HPQ4 2026
MSIQ4 2026
SupermicroQ4 2026

DGX Station for Windows extends the NVIDIA and Microsoft collaboration that also covers NVIDIA RTX Spark, the superchip for slim Windows laptops and compact desktops targeting personal AI agents, creative workloads, and gaming.

FAQ / Common Questions

What is NVIDIA DGX Station for Windows?
It is a deskside AI supercomputer designed for enterprise developers, researchers, and data scientists. Built on the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, it brings data-center-class AI compute into the Windows environment, capable of running AI models up to 1 trillion parameters locally.

What are the key specs of DGX Station for Windows?
The system delivers up to 20 petaflops of FP4 AI performance, up to 748GB of coherent unified memory, a 72-core NVIDIA Grace CPU, a Blackwell Ultra GPU, and ConnectX-8 SuperNIC networking at up to 800Gb/s.

What is NVIDIA OpenShell and why does it matter for enterprises?
OpenShell is an open-source secure runtime for autonomous agents. It uses new Windows security and containment primitives to create isolated sandboxes for each agent and enforces security policies at the system level rather than relying on behavioral prompts. This allows enterprises to deploy agents within their existing Windows compliance and fleet management frameworks.

When will DGX Station for Windows be available?
It is expected from ASUS, Dell Technologies, GIGABYTE, HP, MSI, and Supermicro in Q4 2026.

Can DGX Station for Windows run existing Linux AI toolchains?
Yes. Access to Linux AI toolchains is available through Windows Subsystem for Linux, allowing developers to use Python-based frameworks, model training libraries, and other Linux-native tools within the Windows environment.

How does DGX Station for Windows relate to NVIDIA RTX Spark?
The two products form the ends of NVIDIA and Microsoft’s joint agent platform for Windows. RTX Spark targets slim laptops and compact desktops for personal agents and creative work. DGX Station for Windows targets enterprise deskside deployments requiring frontier-class AI compute and multi-agent infrastructure.


Note: Details above are based on NVIDIA’s announcement at GTC Taipei 2026 and are subject to change. Final feature availability, rollout timing, and supported configurations may vary. Verify against NVIDIA’s and the respective manufacturers’ official channels before relying on any specific detail.

Disclaimer: This post summarizes an NVIDIA product announcement for informational purposes. It is not affiliated with or endorsed by NVIDIA, Microsoft, or any manufacturer mentioned.


NVIDIA RTX Spark Superchip Unveiled — 1 Petaflop AI, 128GB Unified Memory, Windows-Native Agents, Blackwell GPU + Grace CPU in One Chip

NVIDIA has unveiled RTX Spark, a new superchip designed to bring personal AI agents, creative workloads, and gaming to slim Windows laptops and compact desktop PCs. The announcement was made at NVIDIA GTC Taipei, alongside a collaboration with Microsoft to deliver a native Windows platform for on-device agents. RTX Spark-powered devices from ASUS, Dell, HP, Lenovo, Microsoft Surface, and MSI are expected to arrive this fall, with models from Acer and GIGABYTE following.

RTX Spark combines an NVIDIA Blackwell RTX GPU with 6,144 CUDA cores and fifth-generation Tensor Cores with a 20-core NVIDIA Grace CPU, connected via NVLink-C2C chip-to-chip interconnect. The superchip delivers 1 petaflop of AI compute and supports up to 128GB of unified memory. MediaTek collaborated with NVIDIA on the custom CPU design, contributing to power efficiency and connectivity.

The chip targets three simultaneous use cases: running 120B-parameter LLMs locally with 1 million token context, handling creative workflows including 12K 4:2:2 video editing and 90GB+ 3D scene rendering, and playing AAA games at 1440p at over 100 frames per second with ray tracing, DLSS, and Reflex.

Related blog to check out: NVIDIA’s Vera CPU for AI Agents — 1.8x Faster Than x86, 88 Olympus Cores, Adopted by Anthropic, OpenAI, Oracle Cloud, Dell, HPE, and More.

Blackwell GPU + Grace CPU — The RTX Spark Architecture

RTX Spark is built around two interconnected components on a single package. The GPU side carries the NVIDIA Blackwell RTX architecture with 6,144 CUDA cores, fifth-generation Tensor Cores with FP4 precision, and a new Blackwell video decoder capable of handling 12K 4:2:2 content. The CPU side is a 20-core NVIDIA Grace processor, co-designed with MediaTek for efficiency and connectivity in thin-and-light form factors.

The two dies communicate via NVLink-C2C, NVIDIA’s chip-to-chip interconnect, which enables a single unified memory pool of up to 128GB accessible by both the CPU and GPU simultaneously. This unified memory architecture is what allows RTX Spark to run frontier-class language models locally — models that would otherwise require GPU memory and system RAM to be managed separately.

The full NVIDIA AI and graphics stack ships with RTX Spark: CUDA, TensorRT, OptiX, DLSS, Reflex, and G-SYNC are all supported.

Windows-Native Agents — NVIDIA OpenShell and Microsoft Security Primitives

NVIDIA and Microsoft are partnering to bring a secure, on-device agent platform to Windows. The collaboration centers on two components.

New Windows security primitives provide identity, containment, policy, and end-to-end security for agents running natively on the device. These primitives are being built into Windows and are designed to let agents execute tasks across applications, run code, and handle files while remaining under user control.

NVIDIA OpenShell is a runtime layer that adds additional policy controls on top of the Windows primitives. It lets users define what agents can and cannot access, intelligently routes queries to local models based on privacy policies, and can strip or mask personal information before any query is sent to a cloud model.

Agent developers OpenClaw and Hermes Agent (from Nous Research) are among the first to adopt OpenShell and the Microsoft security primitives in their Windows apps. From the Windows taskbar, users will be able to invoke agents that can execute tasks inside applications, run cross-app workflows, generate images and video, write code, and search local files semantically.

Microsoft CEO Satya Nadella described the goal as delivering “unmetered intelligence to every home and every desk with Windows.”

Creative Capabilities — Adobe Rearchitects Premiere and Photoshop for RTX Spark

Adobe is rebuilding Photoshop and Premiere specifically for RTX Spark, targeting up to 2x faster AI, editing, coloring, and effects performance compared with existing workflows.

Adobe Premiere is getting a new video pipeline that uses RTX Spark’s unified memory, Blackwell GPU, and TensorRT software stack. The reworked pipeline targets real-time performance for editing and color correction, GPU-accelerated AI effects, and more efficient rendering of complex timelines. Adobe Substance 3D Painter and Stager will also run natively on RTX Spark.

Adobe Photoshop’s next-generation engine is being optimized for GPU-accelerated compositing, live filters, high dynamic range workflows, and natural brushing. The engine is built to use TensorRT. Both Premiere and Photoshop will also integrate with Windows agents, allowing creators to offload tasks to an on-device AI assistant from within the apps.

Firefly-powered Generative Fill in Photoshop and Generative Extend in Premiere are among the tools that will see direct performance gains from RTX Spark. Updates are expected to roll out alongside RTX Spark device availability in fall 2026.

Other software partners include Blackmagic Design, Blender (with DLSS 4.5 Ray Reconstruction coming to version 5.3), ComfyUI (which gains 4K AI video generation via RTX Video with 4x Frame Generation), OTOY Octane, CapCut, and llama.cpp for optimized local model inference.

Gaming on RTX Spark — DLSS 4.5, Ray Tracing, G-SYNC

For gaming, RTX Spark supports AAA titles at 1440p and over 100 frames per second with ray tracing, DLSS, and Reflex. RTX technology is active in over 1,000 games and applications, and over 100 Windows software providers are embracing the platform.

New RTX capabilities coming with RTX Spark include DLSS 4.5 Ray Reconstruction, which uses a second-generation transformer model and is coming to Blender 5.3 and dozens of games. RTX Video with 4x Frame Generation is coming to ComfyUI.

Game developers embracing the platform include KRAFTON, NetEase (NARAKA: BLADEPOINT), Remedy Entertainment, Riot Games, and XBOX. NetEase noted that RTX Spark enables its titles to run as intended on ultrathin, high-performance laptops.

Device Form Factors — Slim Laptops and Compact Desktops

RTX Spark laptops are engineered to be as slim as 14mm and as light as three pounds, available in 14- to 16-inch sizes. The chassis uses precision-machined aluminum. Displays are color-accurate tandem OLED panels with NVIDIA G-SYNC, targeting both creative color work and gaming visuals. All-day battery life is a stated design goal for the laptop line.

Compact RTX Spark desktop PCs are also in development, positioned for agentic AI workloads, creative production, gaming, and everyday productivity in a small-footprint chassis.

Named devices and OEM commitments:

  • Dell XPS 16 Creator Edition — RTX Spark with large unified memory, designed for creators
  • HP OmniBook — described as one of the thinnest RTX Spark laptops
  • Microsoft Surface Laptop Ultra — targeting creators, developers, and engineers
  • Additional designs from ASUS, Lenovo, MSI, with Acer and GIGABYTE following

NVIDIA DGX Station for Windows will extend the Blackwell architecture to enterprise developers who need a deskside AI supercomputer for running agents at scale.

Rollout Timing — What’s Live When

PhaseWhenScope
AnnouncementGTC Taipei 2026 (now)RTX Spark superchip unveiled
Windows agent developer detailsMicrosoft Build, June 2–3, 2026Security primitives, OpenShell for developers
RTX Spark devices availableFall 2026Laptops and compact desktops from ASUS, Dell, HP, Lenovo, Microsoft Surface, MSI
Acer and GIGABYTE modelsAfter fall 2026Additional OEM devices to follow
Adobe app updatesAlongside fall 2026 RTX Spark availabilityPremiere, Photoshop, Substance 3D updates

FAQ / Common Questions

What is NVIDIA RTX Spark?
RTX Spark is a superchip that combines an NVIDIA Blackwell RTX GPU and a 20-core NVIDIA Grace CPU on a single package, connected via NVLink-C2C. It is designed for Windows laptops and compact desktops, targeting AI agent execution, creative workloads, and gaming in thin, portable form factors.

How much AI compute and memory does RTX Spark offer?
The superchip delivers 1 petaflop of AI compute and supports up to 128GB of unified memory shared between the GPU and CPU. This unified memory pool allows it to run 120-billion-parameter language models locally with 1 million token context.

Which laptops and PCs will use RTX Spark?
RTX Spark-powered devices are confirmed from ASUS, Dell (XPS 16 Creator Edition), HP (OmniBook), Lenovo, Microsoft Surface (Surface Laptop Ultra), and MSI for fall 2026. Acer and GIGABYTE will follow with additional models.

What is NVIDIA OpenShell?
OpenShell is a runtime for on-device agents that works alongside new Windows security primitives from Microsoft. It lets users set policies for what agents can access, routes queries to local or cloud models based on privacy preferences, and masks personal information before sending queries externally.

Will Adobe apps like Photoshop and Premiere work differently on RTX Spark?
Adobe is rebuilding both apps specifically for RTX Spark. The new engines use TensorRT, the Blackwell GPU, and unified memory to target up to 2x faster AI and graphics performance. Updates are expected to roll out when RTX Spark devices ship in fall 2026.

When will RTX Spark devices be available?
Laptops and compact desktops powered by RTX Spark are expected to be available from system builders and cloud partners starting fall 2026.


Note: Details above are based on NVIDIA’s announcement at GTC Taipei 2026 and are subject to change. Final feature availability, rollout timing, and supported devices may vary by region. Verify against NVIDIA’s and the respective manufacturers’ official channels before relying on any specific detail.

Disclaimer: This post summarizes an NVIDIA product announcement for informational purposes. It is not affiliated with or endorsed by NVIDIA, Microsoft, Adobe, or any device manufacturer mentioned.

Microsoft Surface for Business 2026 — New Surface Pro and Surface Laptop on Intel Core Ultra Series 3, Optional Integrated Privacy Screen, Snapdragon X2 Models Later This Year

Microsoft has announced the next generation of its Surface for Business portfolio. The new Surface Pro for Business and Surface Laptop for Business are powered by Intel Core Ultra Series 3 and are available starting May 19, 2026 in select markets, with a Snapdragon X2 wave following later in the year.

Key additions include the Intel Core Ultra Series 3 platform, an optional integrated privacy screen with anti-glare on the 13.8-inch Surface Laptop for Business, a removable Gen 4 SSD on the new 13-inch Surface Laptop, and Wi-Fi 7 across the line. Microsoft is also positioning the lineup as the reference hardware for Windows AI APIs and the Foundry platform, with on-device inferencing as a first-class capability.

Pricing starts at $1,499 MSRP for the Surface Laptop for Business 13-inch (16GB), with the new Surface Pro for Business 13-inch and the 13.8-inch / 15-inch Surface Laptop for Business both starting at $1,949.99 MSRP.

Rollout Timing — What’s Live When

WaveWhenWhat
Intel waveMay 19, 2026 (today)Surface Pro for Business 13-inch, Surface Laptop for Business 13-inch, 13.8-inch, 15-inch on Intel Core Ultra Series 3
8GB Laptop 13-inchLater in 2026Surface Laptop for Business 13-inch, 8GB configuration, starting at $1,299.99 MSRP
Snapdragon waveLater in 2026Surface for Business models on Snapdragon X2 processors

Devices are sold through Surface for Business and Microsoft authorized commercial resellers.

Surface Laptop for Business 13-inch — Entry-Premium Tier With Removable Gen 4 SSD

The new 13-inch model is the most portable Surface Laptop. It launches today in 16GB and 24GB configurations starting at $1,499 MSRP, with an 8GB configuration arriving later in the year at $1,299.99 MSRP.

What stands out for IT: a removable Gen 4 SSD designed for enterprise serviceability, Wi-Fi 7 (6 GHz band availability varies by region), and on-device AI processing. Microsoft is framing this as the model that brings the full Surface experience to the entry-premium tier without asking IT or employees to give up performance for portability.

Surface Laptop for Business 13.8-inch and 15-inch — Up to 23 Hours Battery, Haptic Touchpad

The 13.8-inch and 15-inch sizes start at $1,949.99 MSRP and ship today in select markets. Battery life is rated up to 23 hours based on local video playback.

The touchpad uses advanced haptics, with tactile feedback for window snapping, resizing, dragging, dropping, and navigation, and the feedback extends into select third-party apps. Display options include a high-resolution touchscreen and, on select configurations, the new optional integrated privacy screen detailed below.

Optional Integrated Privacy Screen With Anti-Glare — First on a Surface Device

For the first time on Surface, Microsoft is offering an optional integrated privacy screen with anti-glare, built directly into select configurations of the 13.8-inch Surface Laptop for Business display.

It’s a software-driven visual privacy filter — not a third-party physical screen protector. IT can manage it centrally, or an employee can toggle it with a single keystroke. Microsoft describes it as security-by-design, made possible by the tight integration of Surface hardware and software.

Surface Pro for Business 13-inch — 2-in-1 With Optional 5G

The new Surface Pro for Business 13-inch starts at $1,949.99 MSRP, available today in select markets. The 2-in-1 form factor supports touch, voice, pen, and keyboard input, with on-device AI processing alongside the Intel Core Ultra Series 3 platform.

There are 5G options for users who need cellular connectivity outside the office — availability depends on carrier network and region.

Intel Core Ultra Series 3 — Microsoft’s Performance Numbers

Microsoft cites two benchmark comparisons, both run in April 2026 using Cinebench 2024 Multi-Core on select Intel Core Ultra X7 configurations:

  • Up to 35% more graphics performance than MacBook Air with M5 (10-core CPU, 13.5-inch)
  • Up to 95% faster than Surface Laptop 5 15-inch with Intel Core i7; up to 93% faster than Surface Laptop 5 13.5-inch with Intel Core i7

Microsoft is pitching this as sustained, fluid GPU performance for tasks like analysis, presentations, and on-the-go content work — without trading off mobility, battery life, or security.

Snapdragon X2 Coming Later in 2026 — Up to 80% Faster Local AI Inferencing

The Intel wave isn’t the whole portfolio. Microsoft says it will extend Surface for Business later this year with models featuring Snapdragon X2 processors.

The headline number: up to 80% faster local AI inferencing than the previous Snapdragon-based Surface Laptop generation, measured with Procyon AI benchmark comparing the 8th-edition Surface Laptop (13.8-inch and 15-inch) with Snapdragon to the 7th edition. Microsoft is also calling out longer battery life on this wave, though performance varies by configuration.

Security — Secured-Core PCs, Memory-Safe Firmware, Rust-Based Drivers

Every new Surface for Business device ships as a Secured-core PC, with chip-to-cloud protection aligned with the Microsoft security stack. Firmware updates are delivered through Windows Update, with no third-party update tooling in the mix.

Microsoft is also calling out a deeper firmware change: Surface is the first PC built on memory-safe firmware through the open-source Project Mu and Open Device Partnership (ODP) UEFI, with Rust-based drivers and a secure embedded controller rooted in hardware-based protection. That’s framed as a direct response to one of the industry’s most persistent classes of vulnerabilities — memory-corruption bugs in firmware.

AI on the Edge — Microsoft’s Pitch

Surface for Business is positioned for hybrid AI: cloud when it makes sense, on-device when it doesn’t. Microsoft cites real-time meeting transcription, intelligent writing assistance, select on-device image generation, and live translation as scenarios that work whether the user is in a server room, on a plane, or in a hospital ward (some features require an internet connection, compatible hardware, or a Microsoft 365 subscription).

For developers, Surface is being positioned as the reference platform for Windows AI APIs and the Foundry platform — a consistent hardware baseline for teams building enterprise AI applications that need to offload everyday workloads from the cloud to the device.

Eric Sedore, AVP and CTO at Syracuse University, is quoted in the announcement: “Surface allows us to run AI where learning happens, on the device itself. The future of AI is not everything going to the cloud; it’s AI at the edge.”

IT Management — Intune, Autopilot, Surface Management Portal

From UEFI to browser, the whole portfolio can be managed through Microsoft Intune. Each device supports Windows Autopilot and the Surface Management Portal, giving IT a single plane for provisioning at scale, policy enforcement, and full lifecycle management, including zero-touch deployment.

Microsoft’s framing here is that when the hardware, OS, management platform, and productivity suite are all built and optimized by the same vendor, the operational story tightens — fewer integration seams, fewer third-party update channels.

Sustainability and Repairability — Recycled Aluminum, Replaceable Components

The Surface Laptop 13.8-inch, 15-inch, and Surface Pro 13-inch use 100% recycled aluminum in the enclosure (Pro 13-inch enclosure at 86% recycled content overall; Laptop 13.8-inch and 15-inch at 64%; both validated by Underwriter Laboratories using ECVP 2809-2). Magnets across these models use 100% recycled rare earth metals.

Each device is ENERGY STAR certified, outperforming the baseline by at least 45%. A new Automatic Keyboard Backlight setting on the 13-inch, 13.8-inch, and 15-inch Surface Laptop keyboards (and the Surface Pro 13-inch keyboard) helps reduce power use — note the feature isn’t supported with wireless detach on the Surface Pro 13-inch Flex Keyboard.

On repairability: nearly every major component is replaceable, with a parts supply chain for IT teams and a service guide that uses commonly available tools. Replacement components are available through Surface Commercial authorized device resellers. Repairs done outside the documented process aren’t covered under Microsoft’s Hardware Warranty.

FAQ / Common Questions

When does the new Surface for Business lineup go on sale?
The Intel Core Ultra Series 3 models — Surface Pro for Business 13-inch, Surface Laptop for Business 13-inch, 13.8-inch, and 15-inch — are available starting May 19, 2026 in select markets. The Snapdragon X2 models arrive later in 2026.

What is the starting price of the Surface Laptop for Business 13-inch?
It starts at $1,499 MSRP for the 16GB configuration. A 24GB option is also available today, and an 8GB configuration is coming later in 2026 at $1,299.99 MSRP.

How does the new integrated privacy screen work?
It’s a software-driven visual privacy filter built into select configurations of the 13.8-inch Surface Laptop for Business display. IT can manage it centrally, and employees can toggle it with a single keystroke — no separate physical screen protector required.

Does the Surface Pro for Business 13-inch support 5G?
Yes, 5G is offered as an option on the Surface Pro for Business 13-inch. Availability and performance depend on the carrier network, plan, and region.

Is on-device AI processing supported on these new Surface devices?
Yes. All new Surface for Business devices in this lineup support on-device AI processing. Microsoft is also positioning Surface as the reference platform for Windows AI APIs and the Foundry platform for developers building enterprise AI applications.

Will the Snapdragon X2 Surface for Business models replace the Intel versions?
No. Microsoft is shipping both. The Intel Core Ultra Series 3 models are available today, and the Snapdragon X2 models will join the same Surface for Business portfolio later in 2026.

Note: Details above are based on Microsoft’s announcement on May 19, 2026, and are subject to change. Final feature availability, pricing, rollout timing, and supported markets may vary by region. Verify against Microsoft’s official Surface for Business channels before relying on any specific detail.

Disclaimer: This post summarizes a Microsoft product announcement for informational purposes. It is not affiliated with or endorsed by Microsoft.

Source: Microsoft Blog.

StarTech 208N-USB4-DOCK USB4 Docking Station Listed on Amazon US – Driverless Dual 4K 144Hz, 2.5GbE, 100W Charging, macOS & Windows

StarTech has listed the 2026 208N-USB4-DOCK USB4 Docking Station on Amazon US. The docking station is available at $143.99 (Lowest Price on April 24, 2026).

Key highlights include driverless dual 4K 144Hz display support on both macOS and Windows, 2.5GbE networking, 100W laptop charging, and a single USB4 or Thunderbolt 4/5 host connection. The dock ships with a locking USB-C host cable and a housing made from 75% post-consumer recycled (PCR) plastic.

Pricing & Availability

ModelLaunch PriceLink
StarTech 208N-USB4-DOCK USB4 Docking Station$143.99Amazon US↗

StarTech USB4 Docking Station, Driverless Dual 4K for macOS and Windows, Universal USB-C Dock with 100W Laptop Charging and 2.5GbE

by StarTech.com

Sold by Amazon.com #203 in Laptop Docking Stations
$134.99 $143.99 Save $9.00 (6%)
In Stock
Price last updated on: Jun 1, 2026 at 1:02 AM EDT (15 hours ago)
As an Amazon Associate, we earn from qualifying purchases.

Price history

Alpha Preview
Launch price
$143.99
Lowest tracked
$134.99
List Price
$143.99

Recorded changes

EventDatePriceChange
No change$143.99
Drop$134.99 (List Price $143.99)↓ $9.00

Standardize Your Docking Strategy

The StarTech 208N-USB4-DOCK is a USB4 docking station designed for mixed Mac and Windows environments. USB4 is natively supported on M4 and M5 MacBook Pro, MacBook Air, and current Windows business laptops, allowing IT teams to consolidate on a single driverless dock across their fleet.

The dock operates without any driver installation on both macOS and Windows — no OS-specific workarounds, no compatibility exceptions. This makes it suited for hot-desking setups and shared workspace environments where consistent, predictable behavior across different machines is required.

Dual 4K 144Hz / Single 8K 60Hz Display Output

Through a single USB4 or Thunderbolt 4/5 host connection, the 208N-USB4-DOCK supports:

  • Dual 4K at 144Hz
  • Single 8K at 60Hz

The dock delivers dual 4K output on macOS natively through USB4, without requiring a Thunderbolt 4 dock. Display output is consistent across macOS and Windows without additional configuration.

2.5GbE Networking

The dock includes 2.5 Gigabit Ethernet, providing faster wired network throughput compared to standard Gigabit connections. This is available through the same single USB4 cable connection to the host laptop.

100W Laptop Charging

The 208N-USB4-DOCK delivers up to 100W of power delivery to the connected laptop through the USB4 host cable, handling both data, display, and charging through one connection.

IT Management Features

  • PXE Boot support for network-based OS deployment
  • Wake-on-LAN for remote system management
  • Consistent behavior across macOS and Windows reduces help desk tickets
  • Suitable for centralized IT management in shared and hot-desking environments

StarTech states the 208N-USB4-DOCK has been tested across 100+ monitors and major laptop brands in their Innovation Lab. Free lifetime 24/5 multilingual technical support is included.

Security & Mounting

  • Integrated lock slots for physical security in high-traffic environments
  • VESA mount and surface mount options available (sold separately)
  • Locking USB-C host cable included — prevents accidental disconnections and cable loss in hot-desk or meeting spaces

Design & Sustainability

The StarTech 208N-USB4-DOCK features a housing made from 75% post-consumer recycled (PCR) plastic. The product ships in FSC Mix certified packaging made from responsibly sourced materials.

Compatibility

  • Apple MacBook Pro (M4, M5)
  • Apple MacBook Air (M4, M5)
  • Windows business laptops with USB4 or Thunderbolt 4/5
  • Any USB4 or Thunderbolt 4/5 host device

StarTech 208N-USB4-DOCK Specifications / Technical Details

SpecificationDetails
Model208N-USB4-DOCK
BrandStarTech.com
InterfaceUSB4 / Thunderbolt 4 / Thunderbolt 5 (single cable host connection)
Display OutputDual 4K 144Hz or Single 8K 60Hz
Network2.5GbE Ethernet
Power Delivery100W (laptop charging)
Driver RequirementDriverless (plug-and-play)
OS CompatibilitymacOS, Windows
IT FeaturesPXE Boot, Wake-on-LAN
SecurityIntegrated lock slots
MountingVESA and surface mount compatible (accessories sold separately)
Included CableLocking USB-C host cable
Housing Material75% post-consumer recycled (PCR) plastic
PackagingFSC Mix certified
SupportFree lifetime 24/5 multilingual technical support

What’s in the Box

  • StarTech 208N-USB4-DOCK USB4 Docking Station
  • Locking USB-C host cable
  • Power adapter
  • Documentation

Note: Specifications listed above are based on available information and may not be 100% accurate. Please visit the official StarTech website or Amazon product page to verify complete and up-to-date specifications before making a purchase decision.

Disclaimer: We strongly recommend reading verified purchase reviews before making any online purchase. Always buy from trusted sellers. As an Amazon Associate, we may earn a commission from qualifying purchases made through links on this blog.

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