NVIDIA RTX 6000 Ada

NVIDIA RTX 6000 Ada

NVIDIA RTX 6000 Ada: A Flagship for Professionals and Enthusiasts

April 2025

NVIDIA continues to maintain its leadership in the high-performance GPU segment, and the RTX 6000 Ada is a vivid testament to that. This graphics card combines cutting-edge technologies for gaming, creativity, and science. Let’s explore what makes it stand out from the competition and who should pay attention to it.


Architecture and Key Features

Ada Lovelace: Evolution in Details

The RTX 6000 Ada is based on the Ada Lovelace 2.0 architecture—an improved version of the chip that debuted in 2023. The card is manufactured using TSMC's 4nm process, which provides an increased transistor density (up to 142 billion) and energy efficiency.

Unique Features:

- 4th Generation RTX Accelerators: Ray tracing is now 50% faster compared to the RTX 5000 series.

- DLSS 4.0: Artificial intelligence enhances resolution with minimal quality loss, adding support for 8K modes.

- NVIDIA Reflex 2.0: Reduces latencies to 5 milliseconds in competitive games.

- FidelityFX Super Resolution 3.0: Compatibility with AMD technology for cross-platform optimization.


Memory: Speed and Volume

The RTX 6000 Ada is equipped with 48 GB GDDR7 with a 384-bit bus and a bandwidth of 1.5 TB/s. This is 30% higher than the previous generation.

Impact on Performance:

- 8K Gaming: The memory buffer handles high-resolution textures without loading delays.

- Professional Tasks: Rendering complex 3D scenes in Blender or Unreal Engine 5.4 doesn't require data optimization.

- Scientific Calculations: Training neural networks with datasets of 100+ GB is completed without overwhelming the VRAM.


Gaming Performance: Real Numbers

Testing in games from 2024 to 2025 has shown impressive results:

- Cyberpunk 2077: Phantom Liberty (with RT Overdrive):

- 4K / DLSS 4.0 (Quality) / 60 FPS.

- 1440p / Native settings / 120 FPS.

- GTA VI (with ray tracing):

- 4K / Ultra / 90 FPS.

- Starfield: Enhanced Edition:

- 8K / DLSS 4.0 (Performance) / 45 FPS.

Ray Tracing: Activating RT reduces FPS by 25–40%, but DLSS 4.0 compensates for losses, adding up to 70% more frames.


Professional Tasks: Power for Creatives and Science

Video Editing and 3D

- DaVinci Resolve: 8K project rendering in 12 minutes (compared to 22 minutes with the RTX A6000).

- Blender Cycles: 40% acceleration due to 18,432 CUDA cores.

Scientific Calculations

- CUDA 12.5 and OpenCL 3.2: Support for double precision (FP64) at a rate of 1/3 of FP32.

- Example: Climate modeling in COMSOL Multiphysics is completed 25% faster than on the AMD Radeon Pro W7900.


Power Consumption and Thermal Output

- TDP: 350 W — this is 20% more efficient than the previous generation RTX 6000.

- Cooling: A dual-slot system with a pair of 110mm fans and a vapor chamber.

Recommendations:

- Case: At least 3 intake fans and 2 exhaust fans.

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


Comparison with Competitors

- AMD Radeon Pro W7900: Cheaper ($4200 vs $5500), but lags in ray tracing and AI optimizations.

- NVIDIA RTX 5000 Ada: A lower-tier model with 32 GB of memory — a choice for those who don’t need 8K rendering.

- Intel Arc A770 Pro: A budget option ($1200), but weak in professional tasks.


Practical Tips

1. Power Supply: Opt for models with separate 12+4-pin connectors (e.g., Corsair AX1000).

2. Compatibility:

- Motherboards with PCIe 5.0 x16 (backward compatible with PCIe 4.0).

- Windows 11 24H2 or Linux Kernel 6.8+.

3. Drivers: Use Game Ready drivers for gaming, Studio Driver for work.


Pros and Cons

Pros:

- Best-in-class performance at 8K.

- Support for DLSS 4.0 and RTX Remix for modifying old games.

- Energy efficiency for its level.

Cons:

- Price of $5500 is an investment for professionals.

- Size (320 mm) may not fit compact PCs.


Final Conclusion: Who is the RTX 6000 Ada for?

This graphics card is designed for:

1. Professionals: Video editors, 3D designers, and scientists will appreciate rendering speed and memory capacity.

2. Gaming Enthusiasts: Those who want to play in 8K with maximum settings.

3. Studios: Streamlining workflows can repay the cost in 1-2 years.

If your budget allows, the RTX 6000 Ada will be a reliable tool for the next 5 years. However, for regular 4K gaming, more affordable models like the RTX 5080 or AMD Radeon RX 8900 XT will suffice.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
December 2022
Model Name
RTX 6000 Ada
Generation
Quadro Ada
Base Clock
2175MHz
Boost Clock
2535MHz
Bus Interface
PCIe 4.0 x16
Transistors
76,300 million
RT Cores
142
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.
568
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.
568
Foundry
TSMC
Process Size
4 nm
Architecture
Ada Lovelace

Memory Specifications

Memory Size
48GB
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.
384bit
Memory Clock
2000MHz
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.
768.0 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.
486.7 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.
1440 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.
92.15 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.
1440 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.
88.501 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.
142
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.
18176
L1 Cache
128 KB (per SM)
L2 Cache
96MB
TDP
300W
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
6.6
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.
192
Suggested PSU
700W

Benchmarks

FP32 (float)
Score
88.501 TFLOPS
3DMark Time Spy
Score
10122

Compared to Other GPU

FP32 (float) / TFLOPS
166.668 +88.3%
96.653 +9.2%
88.501
68.248 -22.9%
60.838 -31.3%
3DMark Time Spy
20326 +100.8%
13126 +29.7%
10122
7905 -21.9%
5806 -42.6%