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NVIDIA RTX 5000 Ada Generation

NVIDIA RTX 5000 Ada Generation: Power and Innovations for Gamers and Professionals

April 2025

Architecture and Key Features

Ada Lovelace 2.0 Architecture

The RTX 5000 Ada Generation graphics card is built on the updated Ada Lovelace 2.0 architecture, manufactured using TSMC’s 4nm process. This has resulted in a 30% increase in transistor density compared to the previous generation, directly translating to improved performance.

Key Technologies

- RTX Acceleration: The third generation of RT Cores offers a 50% increase in ray tracing speed in games like Cyberpunk 2077: Phantom Liberty and Unreal Engine 5 projects.

- DLSS 4: The neural network upscaling now supports resolutions up to 8K with minimal artifacts. In Alan Wake 2, at 4K with DLSS 4 Quality, the FPS increases from 45 to 90.

- Shader Execution Reordering (SER): This optimization reduces shader execution latency, enhancing responsiveness in VR applications.

- FidelityFX Super Resolution (FSR) Compatibility: Despite its native support for DLSS, the card also works with AMD's open technologies.

Memory: Speed and Efficiency

GDDR7 and 24 GB of Capacity

The RTX 5000 features GDDR7 memory with a 384-bit bus and a speed of 28 Gbps per module. This results in a bandwidth of 1.3 TB/s, which is 40% more than the RTX 4090.

Performance Impact

- 4K Gaming: The large memory capacity (24 GB) allows for running Ultra HD textures without streaming data from disk. In Horizon Forbidden West (PC version), this prevents FPS drops in dense scenes.

- Professional Tasks: For rendering in Blender or working with neural networks in PyTorch, 24 GB provides a buffer for years to come.

Gaming Performance: Numbers and Reality

Average FPS in Popular Titles (Ultra Settings, No DLSS/FSR):

- 1080p: Elden Ring: Shadow of the Erdtree — 240 FPS; Call of Duty: Black Ops 6 — 210 FPS.

- 1440p: Starfield: Shattered Space — 160 FPS; Assassin’s Creed Red — 130 FPS.

- 4K: GTA VI — 75 FPS; Metro Exodus Enhanced Edition (with RT) — 60 FPS.

Ray Tracing and DLSS 4

Activating RT + DLSS 4 in 4K increases FPS on average by 70-80%. For instance, in Cyberpunk 2077 with the Overdrive patch:

- Without RT: 110 FPS → With RT + DLSS 4: 85 FPS.

Professional Tasks: Beyond Gaming

Video Editing and 3D Rendering

- DaVinci Resolve: Rendering an 8K project takes 25% less time than on the RTX 4090, thanks to 18,432 CUDA cores.

- Blender 4.1: Optimized for Ada Lovelace 2.0, it reduces the rendering time of the BMW scene by 30% (down to 45 seconds from 65 seconds compared to the AMD Radeon Pro W7800).

Scientific Calculations

Support for CUDA 12.5 and OpenCL 3.0 makes the card ideal for ML research. Training the Stable Diffusion 3 model on the RTX 5000 takes 15 minutes compared to 22 minutes on the previous generation.

Power Consumption and Heat Dissipation

TDP 350 W and Cooling Recommendations

- Power Supply: At least 850 W with an 80+ Platinum certification. For overclocking — 1000 W.

- Cooling: A three-slot cooler with vapor chamber technology. In compact cases, bottom intake ventilation is essential.

- Temperatures: Under load — up to 72°C (with standard cooling). Custom liquid cooling can lower this to 60°C.

Comparison with Competitors

AMD Radeon RX 8900 XT

- AMD Advantages: Cheaper ($1800 compared to $2800 for the RTX 5000), better performance in rasterization in DX12.

- NVIDIA Advantages: DLSS 4, twice as fast in RT scenes, more VRAM (24 GB vs. 20 GB).

Intel Arc Battlemage XT

This new player offers a good price ($1500), but falls short in support for professional software.

Practical Tips

1. Power Supply: Choose models with a 12VHPWR connector (e.g., Corsair AX1000).

2. Case: Minimum of 3 120mm fans. Ideal — Lian Li Lancool III or Fractal Design Torrent.

3. Drivers: Disable "experimental features" in GeForce Experience for stability.

4. Platform: A CPU like the Intel Core i9-14900K or AMD Ryzen 9 7950X3D is needed for full compatibility.

Pros and Cons

Pros:

- Best-in-class performance in 4K and RT.

- 24 GB GDDR7 for future projects.

- DLSS 4 and optimization for professional tasks.

Cons:

- Price of $2800 — unaffordable for most.

- Size (336 mm) may not fit Mini-ITX builds.

- High TDP requires an expensive cooling system.

Final Conclusion: Who is the RTX 5000 Ada Generation For?

This graphics card is designed for two categories of users:

1. Enthusiast Gamers seeking to play in 4K with maximum quality and ray tracing.

2. Professionals: Video editors, 3D artists, AI researchers who value rendering speed and memory capacity.

If your budget is limited to $2000, consider the RTX 4080 Super or AMD RX 8900 XT. But if you are looking for the “absolute” without compromises — the RTX 5000 Ada Generation remains the unparalleled choice in 2025.

Prices are valid as of April 2025. The suggested retail price for new devices is indicated.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

August 2023

Model Name

RTX 5000 Ada Generation

Generation

Quadro Ada

Base Clock

1155MHz

Boost Clock

2550MHz

Bus Interface

PCIe 4.0 x16

Transistors

76,300 million

RT Cores

100

Tensor Cores

Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.

400

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.

400

Foundry

TSMC

Process Size

5 nm

Architecture

Ada Lovelace

Memory Specifications

Memory Size

32GB

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.

448.8 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.

1020 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.

65.28 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.

1020 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.

63.974 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.

100

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.

12800

L1 Cache

128 KB (per SM)

L2 Cache

72MB

TDP

250W

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

OpenGL

4.6

DirectX

12 Ultimate (12_2)

CUDA

8.9

Power Connectors

1x 16-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.

176

Suggested PSU

600W

Benchmarks

FP32 (float)

Score

63.974 TFLOPS

Blender

Score

7675.12

OpenCL

Score

245925

Compared to Other GPU

FP32 (float) / TFLOPS

L40G

91.769 +43.4%

Radeon RX 7950 XTX

79.478 +24.2%

RTX 5000 Ada Generation

63.974

H200 NVL

59.114 -7.6%

H100 PCIe 80 GB

50.196 -21.5%

Blender

GeForce RTX 5090

15026.3 +95.8%

RTX 5000 Ada Generation

7675.12

GeForce RTX 2070

2020.49 -73.7%

Radeon RX 6800S

1064 -86.1%

GeForce GTX 980 Ti

552 -92.8%

OpenCL

GeForce RTX 5090 D

385013 +56.6%

RTX 5000 Ada Generation

245925

Radeon RX 7800M

109617 -55.4%

GeForce RTX 2060

75816 -69.2%

CMP 30HX

57474 -76.6%