GP1 — GPU-Accelerated CFD Node with 20 GB vRAM for Fast ANSYS Fluent Solves

The GP1 node brings GPU-accelerated CFD to ANSYS Fluent, pairing a professional NVIDIA RTX 4000 SFF Ada Generation GPU with 64 GB of system RAM and nearly 4 TB of datacenter-grade SSD storage. Built around Fluent's native GPU solver, GP1 runs supported cases directly on the GPU for fast turnaround, while its ample memory and storage keep meshing, transient runs, and large datasets flowing without bottlenecks. When you want modern GPU acceleration on moderate-to-large cases, GP1 is the choice.

It is the GPU-first, generous-storage tier in our lineup: professional Ada-generation compute, a comfortable 64 GB memory budget, and high-capacity SSDs for the heavy case and data files that transient CFD produces.

Specifications

GP1 leads with its GPU: the RTX 4000 SFF Ada delivers 306.8 TFLOPS of tensor performance and 20 GB of GDDR6 vRAM in a power-efficient professional package — purpose-built to accelerate Fluent's native GPU solver on supported physics. Behind it, 64 GB of DDR4 handles meshing and CPU-side solving, and two 1.92 TB datacenter SSDs give you the headroom that transient and multiphase runs demand.

What's included with GP1

Every GP1 rental comes with extras to help you get the most from it:

• A comprehensive CFD course, free — a full training course to sharpen your simulation skills, included at no extra cost.

• One month of Claude AI Premium — AI assistance to support your engineering, scripting, and problem-solving.

• One hour of free CFD consultation — direct time with our CFD engineers to help set up, troubleshoot, or optimize your case.

These come standard with the node — practical support alongside the compute.

What this node is built for

GP1 is the GPU-accelerated, generous-storage tier in our lineup. It suits:

• GPU-accelerated solves — cases supported by Fluent's native GPU solver run directly on the RTX 4000 Ada for fast convergence.

• Transient and time-dependent runs — nearly 4 TB of fast SSD comfortably absorbs many timesteps, autosaves, and large data files.

• Moderate-to-large meshes — 64 GB of system RAM supports CPU-side solving and meshing for sizeable cases.

• Design iteration with quick turnaround — GPU acceleration shortens solve time on supported physics, so you process more variants per day.

With Fluent's native GPU solver, a supported case is solved end-to-end on the GPU, while 64 GB of RAM and high-capacity datacenter SSDs keep the rest of the workflow — meshing, post-processing, and data handling — running smoothly.

GPU vs. memory: choosing GP1

GP1's headline is GPU acceleration, backed by a balanced memory and storage budget. In CFD, the resources play different roles:

• GPU vRAM (20 GB) sets how large a case the native GPU solver can run on the card — the GPU holds the mesh and solution data it's solving.

• System RAM (64 GB) sets the largest mesh you can run on the CPU solver — roughly 1 GB of RAM per million cells for a typical steady, single-phase case.

• Storage (≈4 TB) sets how much case and result data you can keep on hand — critical for transient runs that write data every timestep.

If your physics is supported by Fluent's GPU solver and fits in 20 GB of vRAM, GP1 accelerates it directly. If your case is better suited to CPU solving, 64 GB of RAM keeps moderate-to-large meshes in memory. Tell us your cell count, physics, and whether you want GPU or CPU solving, and we'll confirm GP1 is the right fit — or point you to a tier that matches.

Fast, high-capacity SSD storage

The two 1.92 TB datacenter-edition SSDs give you nearly 4 TB of responsive storage — built for the demands of CFD. Loading large geometries and case files, writing solution data, and handling frequent autosaves all run quickly, so a fast solve is never held up by slow disk I/O. The generous capacity is especially valuable for transient simulations, where data is written at every timestep and files grow large fast.

How GPU-accelerated solving works on this node

Fluent's native GPU solver runs the entire computation on the GPU rather than the CPU. When you launch a supported case, the solver loads your mesh and solution data into the RTX 4000 Ada's 20 GB of vRAM and iterates directly on the card's parallel architecture — exploiting thousands of GPU cores working simultaneously. Because the data stays resident on the GPU, the solver avoids the overhead of constant CPU–GPU transfers, delivering strong throughput on physics the GPU solver supports.

For cases not yet covered by the GPU solver, Fluent runs in CPU-parallel mode across the i5-13500's cores, partitioning the mesh and exchanging boundary data each iteration — with 64 GB of RAM keeping moderate-to-large meshes in memory.

Why rent instead of buy

For GPU-accelerated CFD with plenty of storage, GP1 gives you a professional Ada-generation GPU — plus a free course, a month of Claude AI Premium, and a consultation hour — with an easy step to another tier as your needs change.

How it works — you're in full control

GP1 is yours to drive directly. You connect to the node over a secure remote desktop connection and run everything yourself, exactly as you would on a local workstation:

1. Connect via remote desktop — you get full remote access to the GP1 node.

2. Set up your simulation — load your geometry and case, configure your solver settings, and run ANSYS Fluent with GPU or CPU solving at your command.

3. Run and monitor in real time — start, pause, adjust, and watch the solution as it progresses, with complete control throughout.

4. Keep your results — post-process on the node or download your solution and data files whenever you're ready.

You have full authority over the node for the duration of your rental: we provide the hardware and the support, and you run the simulations your way.

Frequently asked questions

What makes GP1 different from your CPU nodes? GP1 is built around a professional GPU — the RTX 4000 SFF Ada — for Fluent's native GPU solver, whereas our SC-series nodes focus on multi-core CPU solving. GP1 also pairs that GPU with 64 GB of RAM and nearly 4 TB of fast datacenter storage, making it well suited to GPU-accelerated and transient work.

Which cases benefit from the GPU solver? Fluent's native GPU solver supports a growing set of physics. Cases that fall within its supported models and fit in the 20 GB of vRAM see the biggest acceleration. If your physics isn't yet supported on GPU, GP1 still runs it on the CPU. Send us your setup and we'll confirm which path fits.

How large a mesh can it handle? It depends on the solver. On the GPU solver, the 20 GB of vRAM is the limit; on the CPU solver, plan around the 64 GB of system RAM (roughly 1 GB per million cells for simpler steady single-phase cases, fewer for transient or multiphase physics). Send us your case for a precise answer.

Why is the large storage useful? Transient and multiphase simulations write data frequently and produce large files. The nearly 4 TB of datacenter SSD gives you room to keep extensive timestep data, autosaves, and results on fast storage without running out of space.

Is my data kept confidential? Yes. Your geometry, case files, and results stay private to you, treated as strictly confidential — and because you run everything yourself over remote desktop, your work stays under your control throughout.

Get started with GP1

If you want GPU-accelerated CFD with generous memory and storage — plus a free CFD course, a month of Claude AI Premium, and a consultation hour included — GP1's professional Ada GPU is built for exactly that.

Contact MR CFD for remote-desktop access to GP1 — and we'll help you confirm it's the right tier for your simulation.

[Insert your contact / quote-request link and price here.]

A few things worth flagging so I can tighten it to your lineup:

• Model name: I used GP1 as a placeholder since this is a different platform from your SC-series. If you have a naming convention for GPU nodes, tell me and I'll swap it throughout.

• GPU solver claims: I kept the language about Fluent's native GPU solver deliberately careful (it supports a growing but specific set of physics, and you generally need recent Fluent releases — 2023 R1 and later). If you want, I can verify the exact current supported-physics list against Ansys's latest documentation so your page stays accurate.

• Cross-links: SC17 references SC18–SC22 and a 1 TB node. If you'd like GP1 to cross-reference your other tiers (and them to reference GP1), send me the list and I'll wire up the comparisons.

Want me to also produce a short version of this for a product-grid card, or generate it as a ready-to-paste HTML/.md file?Here's a full product page for that configuration, written to mirror the SC17 structure. I've given it a working model name (GP1) and framed it around its real differentiator — GPU-accelerated solving in Fluent plus large, fast datacenter storage — since on this node the headline is the GPU, not raw CPU core count.

GP1 — GPU-Accelerated CFD Node with 20 GB vRAM for Fast ANSYS Fluent Solves

The GP1 node brings GPU-accelerated CFD to ANSYS Fluent, pairing a professional NVIDIA RTX 4000 SFF Ada Generation GPU with 64 GB of system RAM and nearly 4 TB of datacenter-grade SSD storage. Built around Fluent's native GPU solver, GP1 runs supported cases directly on the GPU for fast turnaround, while its ample memory and storage keep meshing, transient runs, and large datasets flowing without bottlenecks. When you want modern GPU acceleration on moderate-to-large cases, GP1 is the choice.

It is the GPU-first, generous-storage tier in our lineup: professional Ada-generation compute, a comfortable 64 GB memory budget, and high-capacity SSDs for the heavy case and data files that transient CFD produces.

Specifications

GP1 leads with its GPU: the RTX 4000 SFF Ada delivers 306.8 TFLOPS of tensor performance and 20 GB of GDDR6 vRAM in a power-efficient professional package — purpose-built to accelerate Fluent's native GPU solver on supported physics. Behind it, 64 GB of DDR4 handles meshing and CPU-side solving, and two 1.92 TB datacenter SSDs give you the headroom that transient and multiphase runs demand.

What's included with GP1

Every GP1 rental comes with extras to help you get the most from it:

• A comprehensive CFD course, free — a full training course to sharpen your simulation skills, included at no extra cost.

• One month of Claude AI Premium — AI assistance to support your engineering, scripting, and problem-solving.

• One hour of free CFD consultation — direct time with our CFD engineers to help set up, troubleshoot, or optimize your case.

These come standard with the node — practical support alongside the compute.

What this node is built for

GP1 is the GPU-accelerated, generous-storage tier in our lineup. It suits:

• GPU-accelerated solves — cases supported by Fluent's native GPU solver run directly on the RTX 4000 Ada for fast convergence.

• Transient and time-dependent runs — nearly 4 TB of fast SSD comfortably absorbs many timesteps, autosaves, and large data files.

• Moderate-to-large meshes — 64 GB of system RAM supports CPU-side solving and meshing for sizeable cases.

• Design iteration with quick turnaround — GPU acceleration shortens solve time on supported physics, so you process more variants per day.

With Fluent's native GPU solver, a supported case is solved end-to-end on the GPU, while 64 GB of RAM and high-capacity datacenter SSDs keep the rest of the workflow — meshing, post-processing, and data handling — running smoothly.

GPU vs. memory: choosing GP1

GP1's headline is GPU acceleration, backed by a balanced memory and storage budget. In CFD, the resources play different roles:

• GPU vRAM (20 GB) sets how large a case the native GPU solver can run on the card — the GPU holds the mesh and solution data it's solving.

• System RAM (64 GB) sets the largest mesh you can run on the CPU solver — roughly 1 GB of RAM per million cells for a typical steady, single-phase case.

• Storage (≈4 TB) sets how much case and result data you can keep on hand — critical for transient runs that write data every timestep.

If your physics is supported by Fluent's GPU solver and fits in 20 GB of vRAM, GP1 accelerates it directly. If your case is better suited to CPU solving, 64 GB of RAM keeps moderate-to-large meshes in memory. Tell us your cell count, physics, and whether you want GPU or CPU solving, and we'll confirm GP1 is the right fit — or point you to a tier that matches.

Fast, high-capacity SSD storage

The two 1.92 TB datacenter-edition SSDs give you nearly 4 TB of responsive storage — built for the demands of CFD. Loading large geometries and case files, writing solution data, and handling frequent autosaves all run quickly, so a fast solve is never held up by slow disk I/O. The generous capacity is especially valuable for transient simulations, where data is written at every timestep and files grow large fast.

How GPU-accelerated solving works on this node

Fluent's native GPU solver runs the entire computation on the GPU rather than the CPU. When you launch a supported case, the solver loads your mesh and solution data into the RTX 4000 Ada's 20 GB of vRAM and iterates directly on the card's parallel architecture — exploiting thousands of GPU cores working simultaneously. Because the data stays resident on the GPU, the solver avoids the overhead of constant CPU–GPU transfers, delivering strong throughput on physics the GPU solver supports.

For cases not yet covered by the GPU solver, Fluent runs in CPU-parallel mode across the i5-13500's cores, partitioning the mesh and exchanging boundary data each iteration — with 64 GB of RAM keeping moderate-to-large meshes in memory.

Why rent instead of buy

For GPU-accelerated CFD with plenty of storage, GP1 gives you a professional Ada-generation GPU — plus a free course, a month of Claude AI Premium, and a consultation hour — with an easy step to another tier as your needs change.

How it works — you're in full control

GP1 is yours to drive directly. You connect to the node over a secure remote desktop connection and run everything yourself, exactly as you would on a local workstation:

1. Connect via remote desktop — you get full remote access to the GP1 node.

2. Set up your simulation — load your geometry and case, configure your solver settings, and run ANSYS Fluent with GPU or CPU solving at your command.

3. Run and monitor in real time — start, pause, adjust, and watch the solution as it progresses, with complete control throughout.

4. Keep your results — post-process on the node or download your solution and data files whenever you're ready.

You have full authority over the node for the duration of your rental: we provide the hardware and the support, and you run the simulations your way.

Frequently asked questions

What makes GP1 different from your CPU nodes? GP1 is built around a professional GPU — the RTX 4000 SFF Ada — for Fluent's native GPU solver, whereas our SC-series nodes focus on multi-core CPU solving. GP1 also pairs that GPU with 64 GB of RAM and nearly 4 TB of fast datacenter storage, making it well suited to GPU-accelerated and transient work.

Which cases benefit from the GPU solver? Fluent's native GPU solver supports a growing set of physics. Cases that fall within its supported models and fit in the 20 GB of vRAM see the biggest acceleration. If your physics isn't yet supported on GPU, GP1 still runs it on the CPU. Send us your setup and we'll confirm which path fits.

How large a mesh can it handle? It depends on the solver. On the GPU solver, the 20 GB of vRAM is the limit; on the CPU solver, plan around the 64 GB of system RAM (roughly 1 GB per million cells for simpler steady single-phase cases, fewer for transient or multiphase physics). Send us your case for a precise answer.

Why is the large storage useful? Transient and multiphase simulations write data frequently and produce large files. The nearly 4 TB of datacenter SSD gives you room to keep extensive timestep data, autosaves, and results on fast storage without running out of space.

Is my data kept confidential? Yes. Your geometry, case files, and results stay private to you, treated as strictly confidential — and because you run everything yourself over remote desktop, your work stays under your control throughout.

Get started with GP1

If you want GPU-accelerated CFD with generous memory and storage — plus a free CFD course, a month of Claude AI Premium, and a consultation hour included — GP1's professional Ada GPU is built for exactly that.

Contact MR CFD for remote-desktop access to GP1 — and we'll help you confirm it's the right tier for your simulation.

[Insert your contact / quote-request link and price here.]

A few things worth flagging so I can tighten it to your lineup:

• Model name: I used GP1 as a placeholder since this is a different platform from your SC-series. If you have a naming convention for GPU nodes, tell me and I'll swap it throughout.

• GPU solver claims: I kept the language about Fluent's native GPU solver deliberately careful (it supports a growing but specific set of physics, and you generally need recent Fluent releases — 2023 R1 and later). If you want, I can verify the exact current supported-physics list against Ansys's latest documentation so your page stays accurate.

• Cross-links: SC17 references SC18–SC22 and a 1 TB node. If you'd like GP1 to cross-reference your other tiers (and them to reference GP1), send me the list and I'll wire up the comparisons.