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NVIDIA GeForce RTX 3080 Ti Mobile

NVIDIA GeForce RTX 3080 Ti Mobile: Power in a Compact Format

April 2025

High-end mobile graphics cards always balance between performance and energy efficiency. The NVIDIA GeForce RTX 3080 Ti Mobile is one such example, offering almost desktop-level power in a laptop format. Let's explore what makes this model stand out four years after its release and how it compares to modern counterparts.

Architecture and Key Features

Ampere Architecture: The Foundation of Speed

The RTX 3080 Ti Mobile is built on the Ampere architecture, which debuted in 2020 but remains relevant due to optimizations. The chips are manufactured using Samsung's 8nm process, allowing for up to 7424 CUDA cores (10% more than the RTX 3080 Mobile).

RTX, DLSS 3.5, and FidelityFX: A Technological Alliance

- RT Cores for Ray Tracing: Accelerating realistic lighting and reflections.

- Tensor Cores and DLSS 3.5: Artificial intelligence enhances FPS in games with support for super resolution and frame generation.

- FidelityFX Super Resolution (FSR): Despite its "native" DLSS technology, the card also supports AMD's competitive solution for versatility.

Memory: Speed and Volume

GDDR6X and 16 GB: Headroom for 4K

The graphics card is equipped with 16 GB of GDDR6X memory on a 256-bit bus. The memory bandwidth reaches 608 GB/s, which is 20% higher than GDDR6 in previous generations. This capacity allows for working with high-resolution textures in games and professional applications without loading hiccups.

Impact on Gaming:

- In Cyberpunk 2077: Phantom Liberty (2025) at 1440p and ultra settings, memory usage peaks at 12-13 GB, eliminating lags.

- For 8K videos in DaVinci Resolve 19, the memory buffer reduces rendering time by 15% compared to 12 GB models.

Gaming Performance

FPS in Popular Titles

- Cyberpunk 2077 (1440p, Ultra, RT Ultra, DLSS Quality): 78-85 FPS.

- Starfield 2 (1440p, Ultra, FSR 3 Balanced): 90-100 FPS.

- Apex Legends (4K, Max settings): 120-140 FPS.

Ray Tracing: Beauty Comes at a Cost

Activating RT decreases FPS by 30-40%, but DLSS 3.5 compensates for these losses. For instance, in Alan Wake 3 (2024) at 1440p and RT High, the frame rate drops from 110 to 68 FPS, but with DLSS, it returns to 92 FPS.

4K Gaming:

The card handles 4K in shooters and RPGs with DLSS/FSR, but for stable 60 FPS in 2025's AAA titles (like GTA VI), it's better to opt for 1440p.

Professional Tasks

CUDA and Software Optimization

- Video Editing: In Premiere Pro 2025, rendering an 8K project is sped up by 25% compared to RTX 3070 Ti Mobile.

- 3D Modeling: In Blender 4.1, rendering a BMW scene takes 2.1 minutes compared to 3.5 minutes for the AMD Radeon RX 7800M XT.

- AI Calculations: Support for CUDA 8.9 and NVIDIA AI libraries makes the card suitable for training neural networks in MATLAB.

Power Consumption and Heat Dissipation

TDP and Cooling Requirements

The model's TDP ranges from 150W to 175W in turbo mode. For stable operation, the laptop should have:

- A cooling system with 4-5 heat pipes and two fans.

- A case with perforation and a stand to enhance airflow.

Temperatures:

- In gaming: 75-85°C (depends on the laptop model).

- In professional tasks: up to 88°C during prolonged rendering.

Comparison with Competitors

AMD Radeon RX 7800M XT:

- AMD Pros: Better price ($1800 vs. $2200 for the RTX 3080 Ti), support for AV1 encoding.

- AMD Cons: Weaker in ray tracing (25-30% lower FPS), no equivalent to DLSS 3.5.

NVIDIA RTX 4070 Mobile:

- Newer, but 15% weaker in 4K due to a reduced memory bus (192-bit vs. 256-bit).

Practical Tips

Power Supply and Compatibility

- Minimum 230W adapter for the laptop.

- Recommended CPUs: Intel Core i9-13900HX or AMD Ryzen 9 7945HX.

Drivers and Settings

- Update through GeForce Experience: in 2025, NVIDIA is actively optimizing support for AI features.

- To reduce heat: limit FPS to 90 in demanding games through the NVIDIA control panel.

Pros and Cons

Pros:

- Highest performance in 1440p/4K.

- Support for DLSS 3.5 and advanced Ray Tracing.

- 16 GB of memory for professional tasks.

Cons:

- High price ($2200-2500 for laptops).

- Noisy coolers under load.

- Limited availability in ultra-thin chassis.

Final Conclusion: Who is the RTX 3080 Ti Mobile For?

This graphics card is the choice for those looking to combine mobility with top-tier performance.

We recommend:

- Gamers who want to play in 1440p/4K with maximum settings.

- Professionals working with rendering and AI on the go.

- Streamers who value DLSS for smooth broadcasting without loss of quality.

If the budget is tight, consider the RTX 4070 Mobile or AMD RX 7800M XT. But for those who need maximum power in 2025, the RTX 3080 Ti Mobile remains an uncompromising option.

Basic

Label Name

NVIDIA

Platform

Mobile

Launch Date

January 2022

Model Name

GeForce RTX 3080 Ti Mobile

Generation

GeForce 30 Mobile

Base Clock

810MHz

Boost Clock

1260MHz

Bus Interface

PCIe 4.0 x16

Transistors

Unknown

RT Cores

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.

232

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.

232

Foundry

Samsung

Process Size

8 nm

Architecture

Ampere

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

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.

512.0 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.

121.0 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.

292.3 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.

18.71 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.

292.3 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.

19.084 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.

7424

L1 Cache

128 KB (per SM)

L2 Cache

4MB

TDP

115W

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

8.6

Power Connectors

None

Shader Model

6.5

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.