SG82

Here's a CPU-focused node in the same format. I notice this spec has no GPU listed, so I've written it as a CPU-solving node — built around the Ryzen's high clocks, large 3D V-Cache, and fast NVMe storage rather than GPU acceleration. I've named it RZ1 as a placeholder.

RZ1 — High-Clock CPU CFD Node with Large 3D V-Cache for Fast ANSYS Fluent Solves

The RZ1 node is built for per-core speed in ANSYS Fluent, pairing the AMD Ryzen™ 9 7950X3D — 16 high-clocked cores with AMD's large 3D V-Cache — with 128 GB of RAM and nearly 4 TB of fast NVMe datacenter storage. Where some nodes lead with core count or GPU acceleration, RZ1 leads with clock speed and cache: cores running up to 5.7 GHz, backed by a huge L3 cache that can ease memory pressure on the right workloads. When you want fast CPU solves with excellent per-core performance on moderate-to-large cases, RZ1 is the choice.

It is the high-clock, large-cache CPU tier in our lineup: strong single-thread speed, a generous 128 GB memory budget, and fast NVMe storage for I/O-heavy transient work.

Specifications

RZ1 leads with clock and cache: 16 Zen 4 cores boosting to 5.7 GHz, with 128 MB of L3 via AMD's 3D V-Cache — a large cache that can reduce trips to main memory on cache-friendly CFD workloads. Behind it, 128 GB of RAM holds moderate-to-large meshes, and two 1.92 TB NVMe datacenter SSDs deliver fast read/write for case loading, data writes, and autosaves.

What's included with RZ1

Every RZ1 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

RZ1 is the high-clock, large-cache CPU tier in our lineup. It suits:

• Fast per-core solves — high clock speeds drive quick convergence on cases that don't need huge core counts.

• Moderate-to-large meshes — 128 GB of RAM keeps sizeable steady, transient, and multiphase cases in memory.

• Design iteration and parameter sweeps — strong per-core speed and 16 cores process variants quickly.

• I/O-heavy transient runs — fast NVMe storage absorbs frequent timestep writes and autosaves without slowing the solve.

With 16 cores boosting to 5.7 GHz and a large 3D V-Cache, Fluent partitions your mesh across the cores for a strong speed-up, while 128 GB of RAM keeps moderate-to-large cases comfortably in memory and fast NVMe keeps data flowing.

Cores, cache, and memory: choosing RZ1

RZ1's headline is per-core speed and cache, backed by a generous memory budget. In CFD, the resources play different roles:

• Cores and clock determine how fast a case solves. RZ1's 16 cores at up to 5.7 GHz give strong per-core throughput.

• 3D V-Cache (128 MB L3) can reduce main-memory traffic on cache-friendly workloads — a potential bonus for some CFD cases, though the benefit varies by physics and mesh.

• Memory (128 GB) sets the largest mesh you can run — roughly 1 GB of RAM per million cells for a typical steady, single-phase case, so 128 GB supports moderate-to-large meshes.

• NVMe storage (≈4 TB) keeps I/O fast for large case and data files.

If your priority is fast solves with high per-core performance, RZ1 is well matched. Tell us your cell count and physics, and we'll confirm it's the right fit — or point you to a higher-memory or GPU-accelerated tier if your case needs it.

Fast NVMe storage

The two 1.92 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 and capacity are especially valuable for transient simulations, which write data at every timestep and produce large files fast.

How parallel solving works on this node

When you run Fluent in parallel, the solver partitions your mesh across all 16 cores (using algorithms such as METIS), each core solving its share of cells and exchanging boundary data each iteration via MPI. On a single node, that communication runs through fast on-chip channels rather than a network, keeping parallel overhead low. With high clock speeds and a large shared cache, those 16 cores deliver strong per-core speed-up on moderate-to-large cases that fit in 128 GB.

Why rent instead of buy

For fast per-core CFD solves with plenty of memory and fast storage, RZ1 gives you high-clock modern cores — plus a free course, a month of Claude AI Premium, and a consultation hour — with an easy step to a higher-memory or GPU-accelerated node when your needs change.

How it works — you're in full control

RZ1 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 RZ1 node.

2. Set up your simulation — load your geometry and case, configure your solver settings, and run ANSYS Fluent with all 16 cores 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 RZ1 fast?
The Ryzen 9 7950X3D combines 16 cores at high clock speeds (up to 5.7 GHz) with a large 128 MB 3D V-Cache. For cases that fit in 128 GB, that mix of clock speed and cache delivers strong per-core solve performance.

Does the 3D V-Cache help CFD?
It can. The large L3 cache reduces trips to main memory on cache-friendly access patterns, which benefits some CFD workloads — though the gain depends on your physics and mesh. Send us your case and we can advise on what to expect.

How large a mesh can it handle?
With 128 GB of RAM, plan for moderate-to-large meshes — into the tens of millions of cells for simpler steady single-phase cases, fewer for transient or multiphase physics (about 1 GB of RAM per million cells is a good starting estimate). Send us your case for a precise answer.

Does RZ1 have a GPU?
RZ1 is a CPU-solving node — it's built for Fluent's CPU solver, where its high clocks and large cache shine. If you want GPU-accelerated solving, ask us about our GPU tiers (GP1 and GP2).

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 RZ1

If you want fast, high-clock CPU solves with ample memory and fast NVMe storage — plus a free CFD course, a month of Claude AI Premium, and a consultation hour included — RZ1's modern cores and large cache are built for exactly that.

Contact MR CFD for remote-desktop access to RZ1 — and we'll help you confirm it's the right tier for your simulation.

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

A couple of notes:

• No GPU in your spec: I wrote RZ1 as a CPU-only node and added an FAQ line pointing GPU users to GP1/GP2. If this node actually does have a GPU you meant to include, send the GPU model and vRAM and I'll rework it as a GPU-accelerated tier.

• Memory type: You listed RAM as just "128 GB" with no DDR generation — the 7950X3D is a DDR5 platform, so I left the type off the table to stay accurate. If you'd like it to read "128 GB DDR5," I'll add it.

• Naming: I used RZ1 to distinguish this modern Ryzen node from your SC dual-Xeon series and GP GPU series. Happy to rename it and wire up cross-references across all the pages once you settle on a scheme.