Siemens NX on Azure with AMD Radeon GPU V710 – Technical Overview
Overview of Siemens NX
Siemens NX is a next-generation integrated CAD/CAM/CAE platform used by aerospace, automotive, industrial machinery, energy, medical, robotics, and defense manufacturers.
It spans:
- Complex 3D modeling
- Assemblies containing thousands to millions of parts
- Surfacing and composites
- Tolerance engineering
- CAM and machining simulation
- Integrated multi physics through Simcenter / NX Nastran
Because NX is used to design real-world engineered systems — aircraft structures, automotive platforms, satellites, robotic arms, injection molds — its usability and performance directly affect engineering velocity and product timelines.
NX Needs GPU Acceleration
NX is highly visual.
It leans heavily on:
- OpenGL acceleration
- Shader-based rendering
- Hidden line removal
- Real-time shading / material rendering
- Ray-Traced Studio for photorealistic output
- Switch shading modes → CAD content must stay readable
- Zoom, section, annotate → requires stable frame pacing
NVads V710 v5-Series on Azure
The NVads V710 v5-series virtual machines on Azure are designed for GPU-accelerated workloads and virtual desktop environments. Key highlights:
- Hardware Specs:
o GPU: AMD Radeon™ Pro V710 (up to 24 GiB frame buffer; fractional GPU options available).
o CPU: AMD EPYC™ 9V64 F (Genoa) with SMT, base frequency 3.95 GHz, peak 4.3 GHz.
o Memory: 16 GiB to 160 GiB.
o Storage: NVMe-based ephemeral local storage supported.
- VM Sizes:
o Ranges from Standard_NV4ads_V710_v5 (4 vCPUs, 16 GiB RAM, 1/6 GPU) to Standard_NV28adms_V710_v5 (28 vCPUs, 160 GiB RAM, full GPU).
- Supported Features:
o Premium storage, accelerated networking, ephemeral OS disk.
o Both Windows and Linux VMs supported.
o No additional GPU licensing is required.
- AMD Radeon™ PRO GPUs offer:
o Optimized OpenGL professional driver stack
o Stable interactive performance vs large assemblies
Business Scenario Enabled by NX + Cloud GPU
- Engineering Anywhere
Distributed teams can securely work on the same assemblies from any geographic region.
- Supplier Ecosystem Collaboration
Tier-1/2 manufacturers and engineering partners can access controlled models without local high-end workstations.
- Secure IP Protection
Data stays in Azure — files never leave the controlled workspace.
- Faster Engineering Cycles
Visualization + simulation accelerate design reviews, decision making, and manufacturability evaluations.
- Scalable Cost Model
Pay for compute only when needed — ideal for burst design cycles and testing workloads.
Architecture Overview – Siemens NX on Azure NVads_v710
Key Architecture Elements
-
- Create Azure Virtual Machine- NVads_v710_24
- Install Azure AMD V710 GPU drivers
- Deploy Azure File-based storage
Hosting assemblies, metadata, drawing packages, PMI, simulation data. - Configure Vnet with Accelerated Networking
- Install NX licenses and software.
- Install NXCP & ATS Test suites on the Virtual Machine
Qualitative Benchmark on Azure NVads_v710_24
Siemens has approved the following qualitative test results. The certification matrix update is currently in progress.
Technical variant:
Complex assemblies with thousands of components maintained smooth rotation, zooming, and selection, even under concurrent session load.
- NXCP and ATS test results on NVads_v710_24
Non-Interactive test results:
Note: Execution Time (seconds)
ATS Non‑Interactive Test Results validate the correctness and stability of Siemens NX graphical rendering by comparing generated images against approved reference outputs. The minimal or zero pixel differences confirm deterministic and visually consistent rendering, indicating a stable GPU driver and visualization pipeline. The reported test execution times (in seconds) represent the duration required to complete each automated graphics validation scenario, demonstrating predictable and repeatable processing performance under non‑interactive conditions.
Interactive test results on Azure NVads_v710_24:
Note: Execution Time (seconds)
ATS Interactive Test Results evaluate Siemens NX graphics behavior during real‑time user interactions such as rotation, zoom, pan, sectioning, and view manipulation. The results demonstrate stable and consistent rendering during interactive workflows, confirming that the GPU driver and visualization stack reliably support user‑driven NX operations.
The measured execution times (in seconds) reflect the responsiveness of each interactive graphics operation, indicating predictable behavior under live, user‑controlled conditions rather than peak performance tuning.
|
NX CAD functions |
Automatic Tests |
Interactive Tests | |
|
Grace1 Basic Tests |
GrPlayer_xp64.exe <FILE> Basic_Features.tgl |
Passed! |
Passed! |
|
GrPlayer_xp64.exe <FILE> Fog_Measurement_Clipping.tgl |
Passed! |
Passed! | |
|
GrPlayer_xp64.exe <FILE> lighting.tgl |
Passed! |
Passed! | |
|
GrPlayer_xp64.exe <FILE> Shadow_Bump_Environment.tgl |
Passed! |
Passed! | |
|
GrPlayer_xp64.exe <FILE> Texture_Map.tgl |
Passed! |
Passed! | |
|
Grace2 Graphics Tests |
GrPlayer_64.exe <FILE> GrACETrace.tgl |
Passed! |
Passed! |
|
Grace2 Graphics Tests |
GrPlayer_64.exe <FILE> GrACETrace.tgl |
Passed! |
Passed! |
|
NXCP Test Scenarios | ||
|
Automatic Tests | ||
|
NXCP Gdat Tests |
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_1.cgi |
Passed! |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_2.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_4.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_5.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_6.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_7.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_8.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_9.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_10.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_11.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_12.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_13.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_14.cgi |
Passed! | |
|
gdat_leg_xp64.exe -infile <FILE> leg_gfx_cert_15.cgi |
Passed! | |
Benefits Azure NVads_v710 (AMD GPU Platform for NX
- Workstation-class AMD Radeon PRO graphics drivers baked into Azure
Ensures ISV-validated driver pipeline. - Excellent performance for CAD workloads
Makes GPU-accelerated NX accessible to wider user bases. - Remote engineering enablement
Critical for companies who now operate global design teams. - Elastic scale
Spin up GPU when development peaks; scale down when idle.
Conclusion:
Siemens NX on Azure NVads_v710 powered by AMD GPUs enables enterprise-class CAD/CAM/CAE experiences in the cloud. NX benefits directly from workstation-grade OpenGL optimization, shading stability, and Ray Traced Studio acceleration, allowing engineers to interact smoothly with large assemblies, run visualization workloads, and perform design reviews without local hardware dependencies.
- Right‑sized GPU delivers workstation‑class experience at lower cost
The family enables fractional GPU allocation (down to 1/6 of a Radeon™ Pro V710), allowing Siemens NX deployments to be right‑sized per user role. This avoids over‑provisioning full GPUs while still delivering ISV‑grade OpenGL and visualization stability, resulting in a lower per‑engineer cost compared to fixed full‑GPU cloud or on‑prem workstations
- Elastic scale improves cost efficiency for burst engineering workloads
NVads_V710_v5 instances support on demand scaling and ephemeral NVMe storage, allowing NX environments to scale up for design reviews, supplier collaboration, or peak integration cycles and scale down when idle. This consumption model provides a cost advantage over fixed on prem workstations that remain underutilized outside peak engineering periods
- NX visualization pipelines benefit from balanced CPU–GPU architecture
The combination of high‑frequency AMD EPYC™ Genoa CPUs (up to 4.3 GHz) and Radeon™ Pro V710 GPUs addresses Siemens NX’s mixed CPU–GPU workload profile, where scene graph processing, tessellation, and OpenGL submission are CPU‑sensitive. This balance reduces idle GPU cycles, improving effective utilization and overall cost efficiency when compared with GPU‑heavy but CPU‑constrained configurations
The result is a scalable, secure, and cost-efficient engineering platform that supports distributed innovation, supplier collaboration, and digital product development workflows — all backed by the Rendering and interaction consistency of AMD GPU virtualization on Azure.