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AI & Workstations

Can RTX PRO 6000 Blackwell Be the Perfect Companion to NVIDIA DGX Station?

Yes, the RTX PRO 6000 Blackwell can be a strong companion to a DGX Station GB300, but it isn't always best placed inside it. NVIDIA designed the pairing for teams that build AI models and also need ray tracing, simulation or 3D visualisation: the GB300 handles training and inference, and the RTX card handles anything that draws pixels. The catch is that the Station shares a fixed 1,600 W power budget, so putting a 600 W card inside cuts the GB300's power cap to 950 W. For many teams, a separate x86 workstation built around the RTX PRO 6000, sitting next to the Station on a fast network, is the better arrangement.

What are the ways to pair them?

Arrangement GB300 power cap RTX card Card price (listed 6 Nov 2026) Best for
Small display card in the Station (RTX PRO 2000 or 4000 SFF, about 70 W) 1,600 W (no cut) 16 GB or 24 GB, display and light graphics S$3,039.60 / S$5,640 AI-first teams that just need a desktop
RTX PRO 6000 Max-Q in the Station (300 W) 1,250 W 96 GB, blower cooled S$29,100 Visualisation and simulation in one box, on Linux for Arm
RTX PRO 6000 Workstation Edition in the Station (600 W) 950 W 96 GB, full 600 W card S$29,100 Heavy graphics that must share the GB300's memory space and box
Separate x86 workstation with an RTX PRO 6000, Station networked alongside 1,600 W (no cut) 96 GB at full power, any OS S$29,100 plus a host workstation Windows or x86-only design tools, and teams with separate AI and design users

Source: NVIDIA DGX Station product page and Dynamic Power Sloshing documentation (power caps: 1,600 W with a card of 75 W or less, 1,250 W with a 76–300 W card, 950 W with a card over 300 W). Supported cards per NVIDIA: RTX PRO 6000 Workstation Edition, RTX PRO 6000 Max-Q, RTX PRO 4000 SFF and RTX PRO 2000; "support may vary by system". Prices from SourceIT listings; prices change, so ask for a current quotation.

Our earlier post on why a DGX Station needs another graphics card covers the display question and the OEM bundles. This one looks at the workflows that justify a 96 GB card, and where to put it.

Which workflows use both machines well?

  • Physical AI and robotics. NVIDIA says the Station "can be combined with an additional NVIDIA RTX PRO 6000 Blackwell Workstation GPU", calling the pair "ideal for building and deploying Physical AI". A typical loop trains a policy or perception model on the GB300, then tests it in a ray-traced simulator on the RTX card. Isaac Sim's requirements list the RTX PRO 6000 Blackwell in their "ideal" tier, and exclude data-centre GPUs without RT cores, such as A100 and H100.
  • Digital twins. NVIDIA's Omniverse DSX requirements recommend an x86 workstation with an RTX PRO 6000 Blackwell and 128 to 256 GB of system RAM. Models that feed the twin, such as vision, forecasting or AI surrogates, can be trained on the GB300.
  • 3D, rendering and design. Blender, V-Ray, Unreal Engine and similar tools run on the RTX card; generative models for textures, assets or concept images, and fine-tuning on your own catalogue, run on the GB300. Puget Systems measured the RTX PRO 6000 about 50% ahead of the RTX 6000 Ada in Blender and V-Ray.
  • Engineering simulation. A GPU CFD solver can run on the 96 GB card while an AI surrogate model trains on the GB300. Ansys's own guidance puts the Fluent GPU solver at 1.0 to 5.6 GB per million cells, depending on mesh, precision and solver.
  • Data science with visual output. Large dashboards, point clouds or medical volumes can be shown on the RTX card while the GB300 serves the model behind them.
Let the GB300 think and the RTX card draw. The only question is whether they need to share a box.

When should the RTX PRO 6000 go inside the Station?

One box is tidier: one power supply, one network address, one machine to manage, and data passes between the two GPUs over a local PCIe slot rather than the network. That suits a single power user who does both AI and visualisation, as long as the graphics software runs on Linux for Arm.

The cost is GB300 power. With a 600 W Workstation Edition fitted, NVIDIA's power daemon "prioritizes the RTX card over the GB110 module" and caps the GB300 at 950 W, about 40% below its 1,600 W ceiling. A 300 W Max-Q keeps the cap at 1,250 W, which makes it the more sensible 96 GB option inside the Station. ServeTheHome, after reviewing the MSI XpertStation WS300, said it now "probably would not" add an RTX PRO 6000 "unless you needed a GPU to render a desktop". It also noted that two Blackwell Ultra GPUs connected over ConnectX-8 networking get more bandwidth between them than a GB300 gets to a PCIe card in the same box.

When is a separate workstation better?

  • Your design tools need x86 or Windows. The Station's Grace CPU is Arm. MATLAB R2026b requires an x86-64 processor, Ansys lists Arm support for its solvers on RHEL and Rocky rather than Ubuntu, and Isaac Sim's requirements page (updated 14 October 2026) says its Arm builds are "currently only supported on DGX Spark". Check each application before assuming it will run inside the Station. See Grace Arm software compatibility.
  • You want both GPUs at full power. A separate tower lets the Workstation Edition run at 600 W and the GB300 keep 1,600 W.
  • Different people use them. A designer at a workstation and an AI team sharing the Station remotely don't compete for one machine. See sharing a DGX Station across a department.
  • You may scale differently. The AI side may later move to a data centre, as our scaling guide describes, while the design workstation stays put.

The trade-off is moving data. Over a 10 GbE link, copying a 140 GB checkpoint takes about two minutes at best; inside one box over a PCIe 5.0 x16 slot it would take a few seconds. The Station has ConnectX-8 ports at up to 800 Gb/s in total, so a workstation with a matching high-speed NIC narrows that gap. See DGX Station networking. For most workflows, though, files move occasionally rather than constantly, and 10 GbE or shared storage is enough.

Which RTX PRO 6000 edition suits a companion role?

Inside the Station, the Max-Q is usually the better 96 GB choice because of the power cap. In a separate tower, the Workstation Edition gives the most graphics performance; Puget measured the Max-Q only 5 to 14% slower in most content-creation apps. Our guide to Workstation vs Max-Q vs Server Edition compares all three, and RTX PRO 6000 vs DGX Station GB300 covers the case where you can only buy one.

Buying in Singapore

SourceIT lists the RTX PRO 6000 Blackwell Max-Q here and Workstation Edition here (both S$29,100, listed 6 Nov 2026), plus the smaller RTX PRO 4000 SFF (S$5,640) and RTX PRO 2000 (S$3,039.60) for display-only use. DGX Station GB300 systems such as the Dell Pro Max with GB300, GIGABYTE W775-V10-L01 and Supermicro ARS-511GD-NB-LCC are price on request, and each OEM's card options differ. Tell us which applications you run and we'll suggest whether the card belongs inside the Station or beside it. Use Request for Quotation on the product page, call (65) 6978 3502, email Sales@sourceit.com.sg or use our contact page.

Frequently asked questions

Can I install an RTX PRO 6000 in a DGX Station? Yes. NVIDIA lists the RTX PRO 6000 Workstation Edition and Max-Q as supported options, and the Station takes up to one additional RTX PRO card. Support may vary by OEM.

How much GB300 performance does the card cost? A card over 300 W caps the GB300 at 950 W instead of 1,600 W. A 300 W Max-Q caps it at 1,250 W, and a card of 75 W or less leaves it at 1,600 W.

Does Isaac Sim run inside a DGX Station? Check first. As of 14 October 2026, Isaac Sim's requirements say its Arm builds are only supported on DGX Spark, which is a reason some teams run simulation on a separate x86 RTX workstation.

Is a separate RTX workstation better than one combined box? It is when your design tools need x86 or Windows, when different people use each machine, or when you want both GPUs at full power. One box suits a single user on Linux-compatible software.

Which card should I choose if I only need a display? The smallest supported one, such as the RTX PRO 2000 or RTX PRO 4000 SFF. At about 70 W, either leaves the GB300's full 1,600 W budget intact.

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Researched and verified by the SourceIT team for Singapore buyers.

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