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NVIDIA TITAN V CEO Edition

NVIDIA TITAN V CEO Edition: The Flagship for Professionals and Enthusiasts

Overview of the 2025 Graphics Card

Introduction

In April 2025, NVIDIA introduced an updated version of its legendary TITAN series — TITAN V CEO Edition. This is not just a gaming card, but a versatile tool for demanding tasks: from rendering 8K video to scientific simulations. Priced at $3499, it targets those who are not willing to compromise. Let’s explore what lies behind this name.

Architecture and Key Features

Hopper Next-Gen Architecture

The TITAN V CEO Edition is built on the new Hopper Next-Gen architecture, inheriting the ideas of Hopper but with a focus on multitasking. The chip is manufactured using TSMC's 3nm process, allowing for 24,576 CUDA cores (+35% compared to the previous generation).

Real-Time Technologies

The card supports:

- RTX 5.0 — enhanced ray tracing with hardware-accelerated AI denoising;

- DLSS 4.0 — upscaling to 8K with minimal detail loss;

- FidelityFX Super Resolution 3.0 (through drivers) — for cross-platform optimization.

Notably features NVLink 4.0 — an interface for linking two cards with a bandwidth of 200 GB/s, which is critical for workstations.

Memory: Speed and Capacity

HBM3e and 48 GB of Memory

The TITAN V CEO Edition uses HBM3e memory with an effective speed of 6.4 Gbps per stack and a total bandwidth of 3.2 TB/s. The capacity of 48 GB (4 stacks of 12 GB each) makes it ideal for large dataset tasks:

- Rendering scenes in Unreal Engine 6 with polygons >100 million;

- Training neural networks with parameters exceeding 50 billion.

Such capacity is excessive for gaming but allows loading mods with 16K textures without data lag.

Gaming Performance

4K and 8K Ultra with RTX

In 2025 tests (at maximum settings):

- Cyberpunk 2077: Phantom Liberty (8K, DLSS 4.0, RTX 5.0) — 68 FPS;

- Starfield: Andromeda Expansion (4K, Native, RTX) — 94 FPS;

- GTA VII (1440p, DLSS 4.0) — 144 FPS.

The card shows potential for future projects, but at 1080p, its potential is limited by the CPU — the gain over RTX 5090 is only 8-12%.

Ray Tracing Without Compromises

Thanks to 128 third-generation RT cores, enabling RTX has minimal impact on FPS (-15% compared to -30% for RTX 5080 Ti). In “Alan Wake III” (4K, RTX Ultra), the result reaches 78 FPS.

Professional Tasks

Rendering and Modeling

- Blender 4.2: rendering a BMW scene in 12 seconds (compared to 21 seconds on RTX 6000 Ada);

- Maya 2026: real-time fluid simulation with 10 million particles.

Machine Learning

- TensorFlow 4.0: training the ResNet-200 model — 40% faster than on A100;

- Support for FP8 Precision accelerates neural network inference.

Video Editing

In DaVinci Resolve 19, 8K projects edit without proxies, and exporting to H.266 takes 25% less time than competitors.

Power Consumption and Cooling

TDP 420W: System Requirements

The card consumes up to 420W under load, requiring:

- A power supply of at least 1000W (1200W recommended for overclocking);

- A case with airflow optimization (e.g., Lian Li O11 Dynamic EVO 2025).

Cooling System

The vacuum chamber and three-section radiator maintain a temperature of 72°C at 30 dB. For workstations, NVIDIA offers a hybrid cooler with liquid cooling (additional $299).

Comparison with Competitors

AMD Radeon RX 8900 XT

- Pros of AMD: price ($2499), support for DisplayPort 2.2;

- Cons: 32 GB GDDR7, 25% lower performance in professional tasks.

Intel Arc Battlemage XT

- At $1999 offers 36 GB HBM3, but drivers still lag in optimization for DCC software.

NVIDIA RTX 5090

The gaming flagship at $2499 is close to the TITAN V in 4K, but falls short in memory and multi-threaded computing.

Practical Advice

PC Build

- Motherboard: Must support PCIe 5.0 x16;

- Processor: Ryzen 9 9950X or Core i9-15900K to eliminate bottlenecks.

Drivers and Software

- Use studio drivers (NVIDIA Studio Driver) for work in Adobe Suite;

- Update VBIOS to enable Resizable BAR.

Pros and Cons

Strengths

- Best-in-class performance in professional applications;

- Support for 8K gaming and neural tasks "out of the box";

- Effective cooling system.

Weaknesses

- Higher price than most entire PCs;

- Limited availability (only through NVIDIA Store);

- High TDP requires expensive infrastructure.

Final Conclusion: Who Is the TITAN V CEO Edition For?

This graphics card is the choice for those for whom time equals money:

- Professionals: 3D artists, engineers, scientists will appreciate rendering speed and Big Data handling;

- Enthusiasts: streamers of 8K content and owners of multi-monitor systems;

- Corporations: for data centers with inference and AI training tasks.

If you don’t earn money using a GPU, consider the RTX 5090 or RX 8900 XT. But if you need the absolute maximum — the TITAN V CEO Edition has no analogs.

Prices and specifications are current as of April 2025. Check compatibility with your system before purchasing.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

June 2018

Model Name

TITAN V CEO Edition

Generation

GeForce 10

Base Clock

1200MHz

Boost Clock

1455MHz

Bus Interface

PCIe 3.0 x16

Transistors

21,100 million

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.

640

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.

320

Foundry

TSMC

Process Size

12 nm

Architecture

Volta

Memory Specifications

Memory Size

32GB

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.

4096bit

Memory Clock

848MHz

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.

868.4 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.

186.2 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.

465.6 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.

29.80 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.

7.450 TFLOPS

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.

14.602 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.

5120

L1 Cache

128 KB (per SM)

L2 Cache

6MB

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 (12_1)

CUDA

7.0

Power Connectors

1x 6-pin + 1x 8-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.

128

Suggested PSU

600W

Benchmarks

FP32 (float)

Score

14.602 TFLOPS

OctaneBench

Score

319

Compared to Other GPU

FP32 (float) / TFLOPS

Tesla V100 SXM2 32 GB

15.983 +9.5%

Radeon Pro W6800X Duo

15.412 +5.5%

TITAN V CEO Edition

14.602

Arc B580

14.053 -3.8%

Radeon RX 6700 XT

13.474 -7.7%

OctaneBench

GeForce RTX 4090

1328 +316.3%

GeForce RTX 4070 Mobile

349 +9.4%

TITAN V CEO Edition

319

Quadro P3200 Max Q

87 -72.7%

GeForce GTX 960

47 -85.3%