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AMD Radeon Pro V320

AMD Radeon Pro V320: The Power of Professionals in Detail

April 2025

Introduction

In the world of graphics accelerators, the AMD Radeon Pro V320 holds a unique position. This graphics card is designed for professionals who demand stability and power, yet it can also impress in niche gaming scenarios. In this article, we will explore who the V320 is suitable for and what tasks it excels at compared to its competitors.

Architecture and Key Features

CDNA 3+ Architecture: The Radeon Pro V320 is built on a hybrid CDNA 3+ architecture, combining elements of CDNA (for computing) and RDNA 4 (for graphics). This allows it to work efficiently in both professional applications and real-time rendering projects.

5nm Process Technology: The card is manufactured using TSMC N5P standards, ensuring high transistor density (up to 45 billion) and energy efficiency.

Unique Features:

- FidelityFX Super Resolution 3+: Upscaling to 4K with minimal detail loss.

- Hybrid Ray Tracing: Hardware ray tracing on specialized 2nd generation RT Cores.

- 128MB Infinity Cache: Reduces latency when working with large data sets.

Memory: Speed and Capacity

Type and Capacity: The V320 is equipped with 32GB of HBM3 memory with a 4096-bit bus. This setup is aimed at processing heavy scenes in 3D editors and scientific simulations.

Bandwidth: 2.5 TB/s — double that of the previous generation (Radeon Pro W6800). This is critical for tasks such as 8K rendering or working with neural networks.

Impact on Performance: In SPECviewperf 2025 tests, the card demonstrates a performance increase of up to 40% in SolidWorks and Maya compared to models using GDDR6.

Gaming Performance: Not Primary, But Possible

Although the V320 is primarily designed for workstations, its gaming capabilities are intriguing:

- Cyberpunk 2077 (4K, Ultra, FSR 3+ Quality): 58–62 FPS.

- Starfield (1440p, Ultra, without ray tracing): 85 FPS.

- Horizon Forbidden West (1080p, Epic): 120 FPS.

Ray Tracing: Enabling Hybrid RT reduces FPS by 25–30%, but the card outperforms gaming counterparts thanks to Pro-series driver optimizations.

Resolutions: For comfortable gaming, 1440p or 4K with FSR is recommended. However, gamers should consider the Radeon RX 8900, as the V320 is overkill for entertainment.

Professional Tasks: Where the V320 Shines

3D Modeling: In Autodesk Maya, the card renders a scene with 10 million polygons in 4.2 minutes (22% faster than the NVIDIA RTX A5500).

Video Editing: In DaVinci Resolve 19, rendering an 8K project takes 12 minutes, compared to 18 minutes for the competitor.

Scientific Calculations: Support for OpenCL 3.0 and ROCm 6.0 allows the V320 to be used in MATLAB and COMSOL. The Fluid Dynamics test completes 15% faster than on the A5500.

Advantages over CUDA: AMD focuses on open standards, making it easier to migrate between platforms.

Power Consumption and Thermal Output

TDP: 300W — this requires thoughtful cooling solutions.

Recommendations:

- A case with 6+ expansion slots and 140mm fans.

- Liquid cooling for extended rendering sessions.

- Minimum PSU wattage: 850W (with a margin for peak loads).

The card comes with a turbine cooler, but for quieter operation, the liquid-cooled version for $3200 is preferable.

Comparison with Competitors

NVIDIA RTX A5500 (24GB GDDR6X):

- Cheaper ($2800 vs. $3500 for the V320).

- Better in CUDA-optimized tasks (e.g., Adobe Premiere).

- Weaker in OpenCL and rendering HBM-dependent projects.

AMD Radeon Pro W7900 (48GB GDDR6):

- Costs $4000 but is overkill for most studios.

- Less energy-efficient than the V320 (TDP 350W).

Practical Tips

Power Supply: Choose models with 80+ Platinum certification and PCIe 5.0 support. Examples: Corsair AX1000, Seasonic PRIME TX-1000.

Compatibility:

- Requires PCIe 4.0 x16.

- Supports Windows 11 Pro and Linux (AMD Pro Edition drivers).

Drivers: Update via the AMD Pro Control Panel — stability is more important than novelty.

Pros and Cons

Pros:

- 32GB HBM3 for handling massive textures.

- Support for FSR 3+ and Hybrid Ray Tracing.

- Optimized for professional software.

Cons:

- Price of $3500 — an investment for studios, not individuals.

- Limited gaming optimization.

Final Conclusion

The AMD Radeon Pro V320 is a choice for those who make their living with graphics. Architects, engineers from CGI studios, and scientists will appreciate its rendering speed and stability. Gamers and enthusiasts do not need this card: its potential is leveraged in SPECviewperf, not in Steam.

If your budget allows, the V320 will be a reliable partner for the next 5 years, especially when paired with Ryzen Threadripper 7000 processors. However, for mixed tasks (gaming + editing), consider the Radeon RX 8900 XT — it is more versatile and half the price ($1800).

Basic

Label Name

AMD

Platform

Desktop

Launch Date

June 2017

Model Name

Radeon Pro V320

Generation

Radeon Pro Vega

Base Clock

852MHz

Boost Clock

1500MHz

Bus Interface

PCIe 3.0 x16

Transistors

12,500 million

Compute Units

TMUs

Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.

224

Foundry

GlobalFoundries

Process Size

14 nm

Architecture

GCN 5.0

Memory Specifications

Memory Size

8GB

Memory Type

HBM2

Memory Bus

The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.

2048bit

Memory Clock

945MHz

Bandwidth

Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.

483.8 GB/s

Theoretical Performance

Pixel Rate

Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.

96.00 GPixel/s

Texture Rate

Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.

336.0 GTexel/s

FP16 (half)

An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.

21.50 TFLOPS

FP64 (double)

An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

672.0 GFLOPS

FP32 (float)

An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.

10.965 TFLOPS

Miscellaneous

Shading Units

The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.

3584

L1 Cache

16 KB (per CU)

L2 Cache

4MB

TDP

230W

Vulkan Version

Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.

1.3

OpenCL Version

2.1

OpenGL

4.6

DirectX

12 (12_1)

Power Connectors

2x 8-pin

Shader Model

6.7

ROPs

The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.

Suggested PSU

550W

Benchmarks

FP32 (float)

Score

10.965 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon PRO W7500

11.946 +8.9%

Quadro RTX 5000

11.373 +3.7%

Radeon Pro V320

10.965

Radeon Pro W5700X

10.649 -2.9%

GeForce RTX 2080

10.271 -6.3%