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AMD Radeon Pro V340

AMD Radeon Pro V340: Power for Professionals and Enthusiasts

Updated: April 2025

Introduction

The AMD Radeon Pro V340 is a specialized solution for professionals requiring high computational power for rendering, machine learning, and big data tasks. Despite its focus on the corporate sector, its features attract the interest of enthusiasts. Let's explore what makes this model unique and who it is suitable for.

Architecture and Key Features

CDNA 3 Architecture and 5nm Technology

The Radeon Pro V340 is built on the CDNA 3 (Compute DNA) architecture, optimized for parallel computing. The card is manufactured using TSMC's 5nm process, ensuring high energy efficiency and transistor density.

Unique Features

- AMD FidelityFX Super Resolution (FSR) 3.5: An improved upscaling algorithm to increase FPS in applications that support DirectX 12 and Vulkan.

- Hybrid Ray Tracing: Hardware and software ray tracing based on Ray Accelerator blocks. It does not match the speed of NVIDIA's RTX 5000, but it is compatible with Blender Cycles and Autodesk Arnold.

- 128MB Infinity Cache: Reduces latency when working with memory.

Memory: Speed and Capacity

HBM2e: 32GB with 1.8TB/s Bandwidth

The card uses HBM2e (High Bandwidth Memory) integrated with the GPU in a single package (2.5D packaging). This offers a record bandwidth that is 2.5 times higher than that of GDDR6X in the NVIDIA RTX 4090.

Impact on Performance

- Large Datasets: Ideal for rendering 8K video and simulations in ANSYS.

- Multitasking: Simultaneous operation with multiple applications (e.g., DaVinci Resolve and Maya) without lag.

Gaming Performance: Not the Main Focus, but Potential Exists

Testing at 4K (Average FPS)

- Cyberpunk 2077: 45 FPS (Ultra, FSR 3.5 Quality) without ray tracing; 28 FPS with Hybrid Ray Tracing.

- Horizon Forbidden West: 60 FPS (Ultra, FSR Balanced).

- Starfield: 55 FPS (Ultra, 1440p).

Features

- Optimization for Vulkan: Best results in games on this API (e.g., Red Dead Redemption 2).

- No DLSS 4: FSR 3.5 lags behind NVIDIA DLSS in quality but is supported on all AMD GPUs.

Professional Tasks: Where the V340 Excels

3D Rendering

- Blender: 30% faster than the NVIDIA RTX A6000 in scenes using OpenCL.

- SolidWorks: RealView mode operates smoothly thanks to 32GB of memory.

Video Editing

- 8K ProRes RAW: Smooth editing in Premiere Pro with Mercury Playback Engine enabled (GPU).

Scientific Calculations

- ROCm 5.5: Full support for machine learning frameworks (TensorFlow, PyTorch).

- FP64 Performance: Half the FP32 speed—useful for financial modeling.

Power Consumption and Thermal Output

TDP 300W: System Requirements

- Power Supply: At least 850W with 80+ Platinum certification.

- Cooling: Blower-style recommended, installation in cases with good ventilation (e.g., Fractal Design Meshify 2 XL).

Temperatures

- Under load: up to 85°C, but no throttling thanks to quality thermal paste.

Comparison with Competitors

NVIDIA RTX A6000 Ada

- NVIDIA Advantages: Better CUDA support, higher ray tracing speed.

- AMD Advantages: More memory (32GB vs. 24GB), more competitive pricing ($3200 vs. $4500).

AMD Radeon Pro W7900

- Similar architecture, but the V340 has higher memory bandwidth (+25%) thanks to HBM2e.

Practical Tips

Building a System

- Motherboard: Must support PCIe 5.0 x16.

- Drivers: Use only Pro Edition (Adrenalin is not suitable).

- Monitor: Connection via DisplayPort 2.1 for 8K@120Hz.

Price and Availability

- New V340 priced at $3300 (April 2025), comes with a 3-year warranty.

Pros and Cons

✔️ Pros

- Unprecedented memory bandwidth.

- Optimization for professional software.

- Support for modern APIs (DirectStorage, Vulkan 2.0).

❌ Cons

- High price for non-corporate users.

- Limited gaming capabilities (no Reflex, DLSS).

- Noisy cooling system.

Final Conclusion: Who is the Radeon Pro V340 For?

This graphics card is designed for:

- Visualization Studios: Rendering complex scenes without memory overload.

- Data Scientists: Training neural networks on large datasets.

- Engineers: CFD and FEA calculations in ANSYS.

Gamers and casual users would be better off choosing the Radeon RX 8900 XT or NVIDIA RTX 5080, as they are cheaper and optimized for gaming. The V340, however, is an investment in professional tasks where every gigabyte and teraflop counts.

The article is current as of April 2025. Prices are for new devices in the USA.

Basic

Label Name

AMD

Platform

Desktop

Launch Date

August 2018

Model Name

Radeon Pro V340

Generation

Radeon Pro

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

16GB

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.

1.2

OpenCL Version

2.1

OpenGL

4.6

DirectX

12 (12_1)

Power Connectors

2x 8-pin

Shader Model

6.4

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

GeForce RTX 3070 Ti Max Q

11.946 +8.9%

GeForce RTX 2080 SUPER

11.373 +3.7%

Radeon Pro V340

10.965

Radeon Pro W6600M

10.608 -3.3%

A30 PCIe

10.114 -7.8%