NVIDIA GeForce RTX 4080 SUPER

NVIDIA GeForce RTX 4080 SUPER

NVIDIA GeForce RTX 4080 SUPER: Next-Gen Power for Gamers and Professionals

April 2025


Introduction

The NVIDIA GeForce RTX 4080 SUPER is an evolution of the flagship lineup designed for those who demand maximum performance in gaming and professional tasks. Released at the end of 2024, this graphics card combines cutting-edge architecture, enhanced AI technologies, and optimized power consumption. In this article, we will explore why the RTX 4080 SUPER has become the top choice for demanding users.


1. Architecture and Key Features

Ada Lovelace Next-Gen Architecture

The RTX 4080 SUPER is built on an improved version of the Ada Lovelace architecture, manufactured using TSMC's 4nm process. This has allowed for a 15% increase in transistor density compared to the RTX 4080, which directly impacts performance and energy efficiency.

RTX, DLSS 4.0, and Reflex Technologies

- RTX (Ray Tracing): Third-generation ray tracing provides realistic lighting, shadows, and reflections. Hardware acceleration is now 30% faster thanks to new RT cores.

- DLSS 4.0: Neural network upscaling now works even at 8K resolution, increasing FPS by 50-70% without losing detail. AI frame generation support allows for "painting" frames, reducing the load on the GPU.

- Reflex: This technology reduces input lag by up to 15 ms in competitive games like Counter-Strike 2 and Apex Legends.

FidelityFX Super Resolution Compatibility

Although FidelityFX is an AMD technology, the RTX 4080 SUPER supports it through drivers, providing flexibility in graphical settings for games without DLSS.


2. Memory: Speed and Capacity

GDDR6X with 768 GB/s Bandwidth

The card is equipped with 16 GB of GDDR6X memory with a 256-bit bus. This is 23% faster than GDDR6 in the RTX 3080, which is critical for rendering 4K textures and working with AI models.

Impact on Performance

- In VRAM-hungry games like Avatar: Frontiers of Pandora Ultra, 16 GB completely eliminates FPS drops even at maximum settings.

- For 3D modeling tasks in Blender, the memory capacity allows rendering scenes with over 10 million polygons without utilizing system RAM.


3. Gaming Performance

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

- Cyberpunk 2077: Phantom Liberty (with RT Overdrive + DLSS 4.0): 78 FPS.

- Starfield: Galactic Edition (RT + DLSS 4.0): 92 FPS.

- GTA VI (Native 4K, Ultra): 65 FPS.

Resolution Support:

- 1080p/1440p: Overkill for most games (FPS > 144), but ideal for esports disciplines.

- 4K: The optimal choice—DLSS 4.0 allows for over 60 FPS even in the most demanding titles.

Ray Tracing:

Enabling RT reduces FPS by 20-25%, but DLSS 4.0 compensates for this, adding 30-40% more performance. For example, in The Witcher 4, the RTX 4080 SUPER delivers a stable 60 FPS at 4K with ultra ray tracing settings.


4. Professional Tasks

Video Editing and Rendering

- In DaVinci Resolve, rendering an 8K project takes 40% less time compared to the RTX 3090, thanks to 12,800 CUDA cores.

- AV1 encoding support in NVENC speeds up video export for streaming platforms.

3D Modeling and Scientific Computing

- In Autodesk Maya, rendering complex animations is 35% faster than with the RTX 4080.

- For machine learning (PyTorch, TensorFlow), the card demonstrates a 2.5x increase in TFLOPS (up to 120 TFLOPS FP32).

CUDA vs. OpenCL

CUDA remains the leader for professional software (optimized for Adobe Premiere, Blender), but OpenCL tasks (like in MATLAB) also perform well.


5. Power Consumption and Thermal Output

TDP 320W: System Requirements

- Minimum power supply: 750W (recommended is 850W for systems with Ryzen 9 9950X or Intel Core i9-14900K).

- Peak power consumption under load can reach up to 350W.

Cooling

- The NVIDIA reference model uses a vapor chamber system with three 100mm fans, keeping temperatures below 72°C.

- Custom solutions (ASUS ROG Strix, MSI Suprim X) offer liquid cooling for enthusiasts looking to overclock.

Case Recommendations

- Minimum case size: Mid-Tower with 3 PCIe slots.

- Good airflow is essential: 3-4 fans for intake/exhaust.


6. Comparison with Competitors

AMD Radeon RX 8900 XT

- Price: $999 vs. $1199 for RTX 4080 SUPER.

- Performance: In games without RT, the RX 8900 XT lags by 10-15%, but with FSR 3.1, it shows comparable FPS. With ray tracing enabled, NVIDIA wins by 25-30%.

- Memory: 20 GB GDDR6X with AMD compared to 16 GB with NVIDIA, but lower bandwidth (720 GB/s).

NVIDIA RTX 4090

- For $1599, you get 30% more performance, but for most users, the RTX 4080 SUPER is sufficient even for 8K gaming.

Intel Arc Battlemage XT

- The new model at $799 shows good results in DX12 games, but drivers and RT support are still lacking.


7. Practical Tips

Power Supply

- Choose models with an 80+ Gold/Platinum certification (Corsair RM850x, Be Quiet! Straight Power 12).

- Use separate PCIe cables for connections (do not split one into two 8-pin connectors).

Compatibility

- PCIe 5.0 is necessary to fully utilize bandwidth.

- Motherboards: Any models with PCIe 5.0 x16 (AMD X670E, Intel Z790) will work.

Drivers

- Regularly update GeForce Experience: NVIDIA releases optimizations for new games monthly.

- For professional tasks, use Studio Drivers—they're more stable and optimized for creative software.


8. Pros and Cons

Pros:

- Best-in-class performance with DLSS 4.0 and RT.

- Ideal for 4K and professional tasks.

- Moderate price (for its level): $1199.

Cons:

- High power consumption.

- Only 16 GB VRAM—may require RTX 4090 in some workflows.

- Limited availability of custom models.


9. Final Conclusion: Who is the RTX 4080 SUPER For?

This graphics card is designed for:

- Gamers looking to play in 4K with ultra settings and ray tracing.

- Professionals needing speed in rendering and working with AI.

- Enthusiasts valuing a balance between price and performance.

The RTX 4080 SUPER is the choice for those not willing to overspend on the RTX 4090 but wanting 90% of its capabilities for a lower cost. If your monitor supports 1440p or 4K, and the PC is used for both gaming and work—this is the optimal choice for 2025.


Prices are accurate as of April 2025. Please check the official NVIDIA website for the latest specifications before purchase.

Basic

Label Name
NVIDIA
Platform
Desktop
Model Name
GeForce RTX 4080 SUPER
Generation
GeForce 40
Base Clock
2205MHz
Boost Clock
2505MHz
Bus Interface
PCIe 4.0 x16

Memory Specifications

Memory Size
16GB
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.
256bit
Memory Clock
1400MHz
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.
716.8 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.
280.6 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.
801.6 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.
51.30 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.
801.6 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.
52.326 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.
80
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.
10240
L1 Cache
128 KB (per SM)
L2 Cache
64MB
TDP
340W
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

Benchmarks

FP32 (float)
Score
52.326 TFLOPS
3DMark Time Spy
Score
28395
Blender
Score
8294.09
Vulkan
Score
219989
OpenCL
Score
254268

Compared to Other GPU

FP32 (float) / TFLOPS
68.32 +30.6%
62.546 +19.5%
46.913 -10.3%
44.257 -15.4%
3DMark Time Spy
36233 +27.6%
9097 -68%
Blender
15026.3 +81.2%
2020.49 -75.6%
1064 -87.2%
552 -93.3%
Vulkan
382809 +74%
91662 -58.3%
61331 -72.1%
34688 -84.2%
OpenCL
385013 +51.4%
109617 -56.9%
75816 -70.2%
57474 -77.4%