SG15

SG15 — GPU-Accelerated CFD Node with 48 GB vRAM for Fast ANSYS Fluent Solves

The SG15 node brings professional GPU acceleration to ANSYS Fluent, pairing an NVIDIA RTX 6000 Ada Generation GPU — with 48 GB of GDDR6 vRAM — to a 24-core Intel® Xeon® Gold 5412U, 128 GB of RAM, and nearly 4 TB of fast NVMe storage. Built around Fluent's native GPU solver, SG15 runs large supported cases directly on the GPU for fast turnaround, while its modern CPU, ample memory, and fast storage keep meshing, transient runs, and large datasets flowing. When you want serious GPU acceleration with the vRAM for large cases, SG15 is the choice.

It is a high-end GPU tier in our range: a large-memory Ada-generation GPU, a modern 24-core CPU, a comfortable 128 GB memory budget, and fast NVMe storage.

Specifications

SG15 leads with its GPU: the RTX 6000 Ada Generation delivers 48 GB of GDDR6 vRAM and strong Ada-architecture compute — purpose-built to accelerate Fluent's native GPU solver on large, supported cases. Behind it, a modern 24-core Xeon Gold 5412U (up to 3.9 GHz) and 128 GB of RAM handle meshing and CPU-side solving, with nearly 4 TB of fast NVMe for case files and data.

What's included with SG15

Every SG15 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

SG15 is a high-end GPU-accelerated tier in our range. It suits:

• Large GPU-accelerated solves — 48 GB of vRAM lets Fluent's native GPU solver run large supported cases on the card.

• Transient and time-dependent runs — fast NVMe absorbs frequent timestep writes and large data files.

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

• Mixed CPU/GPU workflows — a modern 24-core CPU and 128 GB of RAM handle meshing, post-processing, and CPU solving alongside the GPU.

With Fluent's native GPU solver, a supported case is solved end-to-end on the RTX 6000 Ada's 48 GB of vRAM, while the Xeon CPU and 128 GB of RAM keep the rest of the workflow running smoothly.

GPU vs. memory: choosing SG15

SG15's headline is GPU acceleration with a large 48 GB of vRAM, backed by a balanced CPU and memory budget. In CFD, the resources play different roles:

• GPU vRAM (48 GB) sets how large a case the native GPU solver can run on the card — SG15's 48 GB handles substantially larger GPU-resident cases than smaller-memory GPUs.

• System RAM (128 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 NVMe) keeps case and result data fast and on hand — valuable for transient runs.

If your physics is supported by Fluent's GPU solver and fits in 48 GB of vRAM, SG15 accelerates it directly. If your case suits CPU solving, 128 GB of RAM keeps moderate-to-large meshes in memory. Tell us your cell count, physics, and preferred solver, and we'll confirm SG15 is the right fit.

Fast NVMe storage

The two 1.88 TB NVMe datacenter SSDs give you nearly 4 TB of high-speed storage — and NVMe delivers markedly faster read/write than SATA. 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 speed is especially valuable for transient simulations, which write data at every timestep and produce large files 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 6000 Ada's 48 GB of vRAM and iterates directly on the card's thousands of parallel cores. Because the data stays resident on the GPU, the solver avoids constant CPU–GPU transfers — and with 48 GB available, even large cases can be held in GPU memory, where smaller cards would run out of room.

For cases not yet covered by the GPU solver, Fluent runs in CPU-parallel mode across the Xeon Gold's 24 cores, partitioning the mesh and exchanging boundary data each iteration via MPI — with 128 GB of RAM keeping moderate-to-large meshes in memory.

Why rent instead of buy

For GPU-accelerated CFD with the vRAM for large cases, SG15 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

SG15 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 SG15 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 SG15 fast?
Its professional RTX 6000 Ada Generation GPU with 48 GB of vRAM runs Fluent's native GPU solver on large supported cases, delivering fast turnaround that CPU solving alone can't match — backed by a modern 24-core CPU and fast NVMe storage.

Which cases benefit from the GPU solver?
Fluent's native GPU solver supports a growing set of physics. Large cases that fall within its supported models and fit in the 48 GB of vRAM see the biggest acceleration. If your physics isn't yet supported on GPU, SG15 still runs it on the CPU. Send us your setup and we'll confirm the best path.

How large a mesh can it handle?
It depends on the solver. On the GPU solver, the 48 GB of vRAM is the limit; on the CPU solver, plan around the 128 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.

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 SG15

If you want professional GPU acceleration with the vRAM for large cases — plus a free CFD course, a month of Claude AI Premium, and a consultation hour included — SG15's 48 GB Ada GPU is built for exactly that.

Contact MR CFD for remote-desktop access to SG15 — and we'll help you confirm it's the right tier for your simulation.