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NVIDIA RTX 5000 Embedded Ada Generation

NVIDIA RTX 5000 Embedded Ada Generation: Power in a Compact Form Factor

April 2025

Introduction

NVIDIA's Embedded series graphics cards have traditionally been aimed at the professional market, where compactness, energy efficiency, and stability are key. However, the RTX 5000 Embedded Ada Generation breaks the mold by combining desktop-level performance with adaptation for embedded systems. This model, built on the Ada Lovelace architecture, finds applications not only in industrial and medical complexes but also in compact gaming PCs. Let's explore what makes it unique.

1. Architecture and Key Features

Ada Lovelace Architecture

The RTX 5000 Embedded is built on an advanced Ada Lovelace architecture. Chips are manufactured using TSMC's 4nm process technology, providing high transistor density (up to 76 billion) and reduced power consumption.

RTX and DLSS 3.5 Technologies

The card supports all of NVIDIA's key features:

- RTX (Ray Tracing): Hardware-accelerated 3rd generation ray tracing provides a 50% increase in rays per second compared to Ampere.

- DLSS 3.5: Artificial intelligence enhances image quality and increases FPS through frame generation and pixel reconstruction.

- FidelityFX Super Resolution (FSR): Despite its native support for DLSS, the card is compatible with AMD’s open standard.

Optimization for Embedded Systems

This model is designed for 24/7 operation under high loads, available in both passive and active cooling options, and comes certified for mission-critical tasks (for example, medical imaging).

2. Memory: Speed and Efficiency

GDDR6X with ECC

The card is equipped with 16 GB of GDDR6X memory with a bandwidth of 768 GB/s (256-bit bus). ECC (Error Correction Code) support minimizes errors during scientific calculations.

Impact on Performance

The memory capacity is sufficient for rendering 8K textures and working with neural network models. In gaming at 4K with RTX enabled, the buffer does not fill even in demanding projects like Cyberpunk 2077: Phantom Liberty.

3. Gaming Performance

Testing in Current Projects (2024-2025)

- Cyberpunk 2077: Phantom Liberty (4K, Ultra, RTX Ultra, DLSS 3.5): 58-62 FPS.

- GTA VI (4K, Ultra, RTX High, DLSS Balanced): 75-80 FPS.

- Starfield: Colony Wars (1440p, Ultra, FSR 3.0): 120 FPS.

Ray Tracing: Should You Enable It?

The RTX 5000 Embedded handles ray tracing even at 4K thanks to DLSS 3.5. However, in "heavy" scenes (like the nighttime city in Cyberpunk), using DLSS in Performance mode is recommended for stable 60 FPS.

4. Professional Tasks

Video Editing and 3D Rendering

- DaVinci Resolve: Rendering an 8K project takes 30% less time than with the RTX A4500.

- Blender: The CUDA cores (9728 shader units) process a BMW scene in 14 seconds (compared to 22 seconds for the predecessor).

Scientific Calculations

Support for CUDA 8.5 and OpenCL 3.0 allows the card to be used in simulations of physical processes and machine learning. For instance, training the ResNet-50 model is sped up by 18% thanks to the 4th generation Tensor Core.

5. Power Consumption and Heat Dissipation

TDP and Recommendations

- TDP: 175 W (passive version) and 190 W (active).

- Cooling: The passive version requires a case with at least 6 heat pipes and ventilation of ≥ 25 CFM. The active cooler operates independently but is noisy at 38 dB.

Case Recommendations

- Mini-PCs: A compact Mini-ITX format case with ventilation openings above the PCIe slot is suitable.

- Industrial Systems: Use server chassis with hot-swappable support.

6. Comparison with Competitors

AMD Radeon Pro W7800 Embedded

- Pros of AMD: 32 GB HBM3, lower price ($2200 versus $2800 for NVIDIA).

- Cons: Weaker ray tracing support (35% slower in RT benchmarks).

Intel Arc A770 Pro Embedded

- Price: $1800, but performance in professional tasks is 40% lower.

Conclusion: The RTX 5000 Embedded wins in versatility but loses in price.

7. Practical Tips

Power Supply

- Minimum: 500 W (80+ Gold) with a PCIe 12VHPWR cable.

- Recommended: 650 W for power overhead.

Compatibility

- Platform: Requires PCIe 5.0 x16 (backward compatible with 4.0).

- Drivers: For gaming — Game Ready 555.20+, for work — Studio Driver 555.40+.

8. Pros and Cons

Pros:

- Best-in-class RTX performance.

- ECC memory support for professional tasks.

- Compactness and adaptability to harsh environments.

Cons:

- Price at $2800 — a premium segment.

- Limited availability in retail.

9. Final Conclusion

The NVIDIA RTX 5000 Embedded Ada Generation is the choice for those who need maximum power in a minimal form factor. It is suitable for:

- Engineers and Designers: On-site rendering without server farms.

- Medical Centers: Accurate real-time MRI visualization.

- Gamers: Compact PCs with support for 4K and RTX.

If the budget allows, this card will be a reliable investment for the next 3-5 years.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

March 2023

Model Name

RTX 5000 Embedded Ada Generation

Generation

Quadro Ada-M

Base Clock

1425MHz

Boost Clock

2115MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

16GB

Memory Type

GDDR6

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.

256bit

Memory Clock

2250MHz

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.

576.0 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.

236.9 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.

643.0 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.

41.15 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.

643.0 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.

41.973 TFLOPS

Miscellaneous

SM Count

Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.

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.

9728

L1 Cache

128 KB (per SM)

L2 Cache

64MB

TDP

120W

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

3.0

Benchmarks

FP32 (float)

Score

41.973 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon RX 7900 XT

50.45 +20.2%

RTX PRO 4000 Blackwell

45.962 +9.5%

RTX 5000 Embedded Ada Generation

41.973

A40 PCIe

36.672 -12.6%

GeForce RTX 5070 Ti Mobile

32.905 -21.6%