PantheonSim / GPUs / NVIDIA RTX A5000
Simulated NVIDIA RTX A5000: a GPU profile for CUDA and ROCm testing
PantheonSim, the GPU simulator for CUDA and ROCm, simulates the NVIDIA RTX A5000 (Ampere, 8.6) as the profile nvidia/rtx-a5000.
A 24 GB Ampere workstation GPU. Its profile is built from public documents and not yet measured against a physical card.
The profile at a glance
These are the numbers a program can ask this simulated GPU, and the values nvidia-smi show for it. They come from the profile file in the simulator's repository, pinned to one commit of it.
| Property | Value |
|---|---|
| Profile id | nvidia/rtx-a5000 |
| Vendor and architecture | NVIDIA, Ampere |
| Compute capability | 8.6 |
| Device memory | 24.0 GiB, GDDR |
| Streaming multiprocessors | 64 |
| Warp size | 32 |
| Max threads per multiprocessor | 1536 |
| Shared memory per block (opt-in maximum) | 99 KiB |
| L2 cache | 6 MiB |
| Memory bus width | 384-bit |
| Power limit (profile) | 230 W |
| Maximum clocks (profile) | 1695 MHz shader, 8000 MHz memory |
| ECC memory | yes |
| PCIe link reported | Gen4 x16 |
| Tensor or matrix cores | yes |
| Verified (measured on a physical card) | not yet measured |
What this GPU is for
A 24 GB Ampere workstation GPU.
Ampere covers two compute capabilities in these profiles: 8.0 for the GA100 data-center parts and 8.6 for the GA10x parts. The simulator runs the SASS a binary carries for the architecture and falls back to PTX when it carries none.
Among the 37 NVIDIA profiles it ranks 25th by device memory (24.0 GiB) and 30th by SMs (64), counting the largest as first.
Is this profile verified?
No. This profile is marked not verified: it is built from public documents only, and nothing in it was measured on a physical card. Some figures are derived or copied from the nearest profile where the vendor publishes none, so treat them as approximate, and memory sizes as upper bounds. Programs still run on it, and it still answers every call as the architecture's rules require, but a value such as a clock or a limit may differ from a real card's.
Simulate this GPU
Build the simulator (see the docs) or open the playground, then:
nvcc -cudart shared -arch=compute_86 my_app.cu -o my_app vgpu run --gpu nvidia/rtx-a5000 ./my_app vgpu shell -y --gpu nvidia/rtx-a5000 --count 4 vgpu info --gpu nvidia/rtx-a5000
This profile is compute capability 8.6. A kernel built for compute_75 runs on it and on every other NVIDIA profile; a kernel built for a newer architecture is refused by a profile that is older than it. Link the CUDA runtime shared (-cudart shared) so the simulator can stand in for it.
To use it every time, put gpu: nvidia/rtx-a5000 in a pantheonsim.yaml settings file, or in a GitHub Actions job give the PantheonSim action gpu: nvidia/rtx-a5000 (see CUDA and HIP tests in GitHub Actions). The simulator checks behaviour and has no timing model, so a run on a physical GPU before a release still counts. The CUDA guide explains the rest.
Where the numbers come from
Each profile file begins with a note on its sources. This is the note for NVIDIA RTX A5000, as written in the file:
Source note for nvidia/rtx-a5000
Public values; verified: false, nothing here has been measured on a card. Where each value comes from: - compute capability 8.6: NVIDIA's CUDA GPUs table (developer.nvidia.com/cuda-gpus). - SMs 64: NVIDIA's RTX A5000 data sheet (8,192 CUDA cores, 256 Tensor Cores, 64 RT Cores) at 128 cores an SM. - memory 24 GB GDDR6 with ECC, 384-bit, 768 GB/s, total board power 230 W, PCIe 4.0 x16: the data sheet. NVIDIA's "GB" for graphics memory is binary (see rtx2080ti.yaml), so vram_bytes is 24576 MiB; a real card's nvidia-smi total is a little smaller, so this is an upper bound. - SM clock 1695 MHz is derived from the data sheet's 27.8 TFLOPS (8,192 x 2 x clock = 1.697 GHz); NVIDIA's data sheet lists no clock. - PCI device 0x2231, "NVIDIA RTX A5000", from the name table in NVIDIA's open GPU kernel modules (g_nv_name_released.h, main at ca2d03e, 2026-10-07). - Per-SM limits are compute capability 8.6's, the same as nvidia/a10 and nvidia/rtx3080ti, which were read from physical cards.
The GPU index lists every profile, and this one is not yet measured.
Related GPUs
Other Ampere profiles: