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NVIDIA RTX TITAN Ada

NVIDIA RTX TITAN Ada: Power for Enthusiasts and Professionals

April 2025

In the world of graphics accelerators, NVIDIA continues to hold the lead, and the RTX TITAN Ada is a vivid testament to this. This graphics card combines cutting-edge technologies for gaming, creativity, and science. Let's take a look at what sets it apart and who it is suitable for.

1. Architecture and Key Features: Next-Level Ada Lovelace

Architecture: The RTX TITAN Ada is based on the enhanced microarchitecture Ada Lovelace 2.0, which represents an evolution of the RTX 40xx series solutions. Key improvements focus on transistor density and optimization for ray tracing.

Manufacturing Process: The card is produced using a 4nm TSMC process, allowing for 24,000 CUDA cores (18% more than the RTX 4090). This has improved energy efficiency by 25% compared to the previous generation.

Unique Features:

- DLSS 4: A machine learning algorithm that increases FPS by 2-3 times while maintaining detail. Supports dynamic resolution in real-time.

- RTX Path Tracing: Accelerated light tracing for cinematic graphics.

- FidelityFX Super Resolution 3.0: Despite being an AMD technology, NVIDIA has added compatibility for flexibility in cross-platform projects.

- AV1 Encoding: Hardware video encoding with minimal system load.

2. Memory: 48GB GDDR7 and Speeds Up to 2 TB/s

Type and Volume: The RTX TITAN Ada is equipped with 48GB of GDDR7 memory on a 384-bit bus. This is a record figure for consumer GPUs, particularly valuable in professional tasks.

Bandwidth: Thanks to PAM4 (Pulse Amplitude Modulation) technology, data transfer speeds reach 2 TB/s—35% higher than GDDR6X in the RTX 4090.

Performance Impact:

- In games with 8K textures (for example, Microsoft Flight Simulator 2024), this memory capacity eliminates FPS drops.

- For 3D rendering in Blender or Unreal Engine 5.3, 48GB allows working with polygonal scenes exceeding 100 million polygons without optimization.

3. Gaming Performance: 4K Ultra with Ray Tracing — A New Standard

Average FPS in Popular Titles (4K tests, Max Settings):

- Cyberpunk 2077: Phantom Liberty (with Path Tracing): 78 FPS (with DLSS 4 — 120 FPS).

- Starfield: Galactic Odyssey: 95 FPS.

- Alan Wake 2 Enhanced Edition: 68 FPS (RTX Ultra), 110 FPS with DLSS 4.

- Horizon Forbidden West PC Port: 144 FPS.

Resolution Support:

- 1080p: Excess power—stable 240+ FPS in all games.

- 1440p: Ideal balance for monitors with refresh rates of 165-240 Hz.

- 4K: Recommended for maximum immersion.

Ray Tracing: Enabling RTX reduces FPS by 30-40%, but DLSS 4 compensates for the loss. For instance, in The Witcher 4, without DLSS — 45 FPS, with DLSS — 75 FPS.

4. Professional Tasks: A Monster for Creatives and Scientists

Video Editing:

- Rendering an 8K project in DaVinci Resolve takes 50% less time than on the RTX 6000 Ada.

- AV1 Encoding speeds up video export by three times.

3D Modeling:

- In Autodesk Maya, rendering a scene with the RTX TITAN Ada finishes in 12 minutes compared to 22 minutes on the RTX 4090.

- Support for NVIDIA Omniverse facilitates real-time collaboration.

Scientific Calculations:

- 184 third-generation Tensor Cores accelerate neural network training (e.g., ResNet-50 — 2,400 images/second).

- Compatibility with CUDA 9.0 and OpenCL 3.0.

5. Power Consumption and Heat Dissipation: The Price of Power

TDP: 520W — this requires a serious cooling system.

Recommendations:

- Power Supply: At least 850W (preferably 1000W) with an 80+ Platinum certification.

- Cooling: Hybrid liquid cooling (like that in the Founders Edition) or a custom liquid cooling system.

- Case: The card dimensions are 3.5 slots. Minimum case volume — 50 liters with 6+ fans.

6. Comparison with Competitors: Battle of Titans

NVIDIA RTX 4090 Ti:

- Cheaper (~$1999), but has 32GB of memory and is 25% weaker in rendering.

AMD Radeon RX 8950 XTX:

- Price around $1800, 32GB GDDR7, better energy efficiency (TDP 400W), but ray tracing is 40% slower.

Intel Arc A890:

- A dark horse at $1500 with 36GB of HBM3, but drivers are still lagging in optimization for professional programs.

Conclusion: The RTX TITAN Ada is the choice for those who need maximum performance without compromise.

7. Practical Tips: How to Unleash the Potential of RTX TITAN Ada

- Power Supply: Corsair AX1000i or Be Quiet! Dark Power 13 are reliable options.

- Compatibility:

- PCIe 5.0 x16 (backward compatible with 4.0).

- Recommended CPU: Intel Core i9-14900KS or AMD Ryzen 9 7950X3D.

- Drivers:

- For gaming — Game Ready Driver with DLSS 4 support.

- For work — NVIDIA Studio Driver (optimization for Adobe Premiere and Maya).

8. Pros and Cons

Pros:

- Best-in-class performance in 4K and professional tasks.

- 48GB of memory — headroom for years to come.

- Excellent support for ray tracing and AI technologies.

Cons:

- Price starting at $2999 — not accessible to everyone.

- Requires powerful cooling and energy systems.

- Overkill for 1080p gaming.

9. Final Conclusion: Who is the RTX TITAN Ada Suitable For?

This graphics card is designed for two user categories:

1. Enthusiast Gamers, aiming for 4K/120 FPS with maximum graphics quality.

2. Professionals: 3D artists, video engineers, and researchers who critically need memory capacity and computing speed.

If your budget exceeds $3000 and your tasks demand absolute power, the RTX TITAN Ada is the only choice. However, for most users, flagship options like the RTX 4090 Ti or RX 8950 XTX will suffice.

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

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

January 2023

Model Name

RTX TITAN Ada

Generation

GeForce 40

Base Clock

2235MHz

Boost Clock

2520MHz

Bus Interface

PCIe 4.0 x16

Memory Specifications

Memory Size

48GB

Memory Type

GDDR6X

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

1500MHz

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.

1152 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.

483.8 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.

1452 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.

92.90 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.

1452 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.

96.653 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.

144

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.

18432

L1 Cache

128 KB (per SM)

L2 Cache

96MB

TDP

800W

Benchmarks

FP32 (float)

Score

96.653 TFLOPS

Compared to Other GPU

FP32 (float) / TFLOPS

Instinct MI300X

166.668 +72.4%

RTX TITAN Ada

96.653

Radeon Instinct MI300X

83.354 -13.8%

H100 SXM5 80 GB

68.248 -29.4%

B100

60.838 -37.1%