NVIDIA T1000 8 GB

NVIDIA T1000 8 GB

NVIDIA T1000 8 GB: A Professional Tool for Work and Moderate Gaming

April 2025


Introduction

The NVIDIA T1000 8 GB graphics card is a compact solution that combines energy efficiency and performance for professional tasks. Although it is not aimed at hardcore gamers, its capabilities remain relevant for office PCs, workstations, and less demanding games. This article will explore who this model is suitable for in 2025 and what tasks it can handle.


1. Architecture and Key Features

Turing Architecture: A Proven Foundation

The T1000 is based on the Turing architecture, released in 2018. Despite its age, this technology remains relevant due to optimizations and stability. The card is manufactured using a 12nm process, providing a balance between performance and power consumption.

No RTX, but CUDA Support

Unlike gaming RT-series cards, the T1000 does not feature RT cores for ray tracing. However, its 512 CUDA cores accelerate rendering and calculations. While it lacks gaming features like DLSS or FidelityFX, it does offer NVENC support for video encoding, which is useful for editing.

Key Features:

- 4 display outputs (including DisplayPort 1.4 and HDMI 2.0);

- Support for simultaneous work with 4 monitors in 4K;

- Hardware acceleration for popular codecs (H.265, VP9).


2. Memory: Speed and Efficiency

GDDR6: A Reliable Choice

The card is equipped with 8 GB of GDDR6 memory with a 128-bit bus. The bandwidth reaches 192 GB/s (memory clock speed is 12 GHz). This is sufficient for working on heavy projects in Adobe Premiere or AutoCAD, but in gaming, the bus width may become a bottleneck at high resolutions.

8 GB: Comfortable for Professional Tasks

The memory capacity allows for:

- Editing 4K videos without frequently accessing the disk;

- Working with moderately complex 3D models;

- Running virtual machines.

For gaming, 8 GB is a future-proof reserve, but often GPU performance limits the utilization of this resource.


3. Gaming Performance: Modest Ambitions

1080p: Comfortable Level

In 2025, the T1000 handles games at low to medium settings:

- Cyberpunk 2077: 35-40 FPS (Low, FSR Quality);

- CS2: 90-100 FPS (Medium);

- Fortnite: 60 FPS (Medium, without RT);

- EA Sports FC 2025: 75 FPS (High).

1440p and 4K: Only for Undemanding Projects

At 1440p resolution, expect 30-40 FPS in modern AAA titles, and at 4K, it is comfortable to work only with office applications.

Ray Tracing: Not Available

The absence of RT cores makes hardware ray tracing impossible. However, in games with software emulation (e.g., Minecraft Bedrock), it is possible to achieve 20-25 FPS on minimum settings.


4. Professional Tasks: Main Specialization

Video Editing and Rendering

Thanks to NVENC and CUDA support, the T1000 speeds up video export in Premiere Pro by 30-40% compared to integrated graphics. Rendering a 10-minute 4K video takes about 15-20 minutes.

3D Modeling

In Blender and Autodesk Maya, the card shows stable performance with moderately complex projects. For instance, rendering a scene in Cycles (CUDA) takes 25% less time than with a GTX 1650.

Scientific Calculations

Support for OpenCL and CUDA makes the T1000 useful for basic machine learning models or simulations in MATLAB. However, for more complex tasks, it is better to opt for the RTX A2000 with Tensor cores.


5. Power Consumption and Heat Dissipation

TDP 50W: Savings on the Power Supply

The card consumes just 50W, allowing it to be used in compact PCs and systems with passive cooling. Even under load, the temperature rarely exceeds 70°C.

Cooling Recommendations

- For Mini-ITX cases: models with turbine coolers;

- In office builds: passive reference versions;

- Adequate case ventilation is essential — at least one intake fan.


6. Comparison with Competitors

AMD Radeon Pro W5500

- Pros: 8 GB GDDR6, higher performance in OpenCL tasks (~15%);

- Cons: TDP 125W, price $350 (compared to $300 for T1000).

NVIDIA RTX A2000 (12 GB)

- More powerful in rendering and gaming, but more expensive ($450) and requires more power (70W).

Conclusion: The T1000 wins in price and energy efficiency but falls short in demanding tasks.


7. Practical Recommendations

Power Supply

A 300W PSU is sufficient (e.g., Be Quiet! SFX Power 3 300W). For systems with Core i5/i7 level processors, 400-450W is recommended.

Compatibility

- Supports PCIe 4.0 (backward compatible with 3.0);

- Recommended OS: Windows 11/Linux with Studio Ready drivers.

Drivers

Use NVIDIA Studio drivers for stable operation in professional applications. For gaming, Game Ready drivers are suitable, but update them manually, as automatic updates can sometimes cause conflicts.


8. Pros and Cons

Pros:

- Low power consumption;

- Quiet operation;

- Support for 4 monitors;

- Affordable price ($300-330).

Cons:

- Weak for modern gaming;

- No ray tracing;

- Limited performance in heavy 3D tasks.


9. Final Conclusion: Who Should Consider the T1000?

This graphics card is the ideal choice for:

- Office PCs requiring multi-monitor configurations;

- Designers and editors working with 2D graphics and video;

- Engineers using moderately complex CAD software;

- Mini-PCs for streaming and less demanding games.

If you need a reliable, quiet, and economical GPU for work, the T1000 8 GB justifies the investment. However, for gaming or high-level 3D rendering, it’s better to consider the RTX 4050 or AMD Radeon RX 7600.


Prices are current as of April 2025. Please check the availability of models with official NVIDIA suppliers.

Basic

Label Name
NVIDIA
Platform
Desktop
Launch Date
May 2021
Model Name
T1000 8 GB
Generation
Quadro
Base Clock
1065MHz
Boost Clock
1395MHz
Bus Interface
PCIe 3.0 x16
Transistors
4,700 million
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.
56
Foundry
TSMC
Process Size
12 nm
Architecture
Turing

Memory Specifications

Memory Size
8GB
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.
128bit
Memory Clock
1250MHz
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.
160.0 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.
44.64 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.
78.12 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.
5.000 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.
78.12 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.
2.55 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.
14
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.
896
L1 Cache
64 KB (per SM)
L2 Cache
1024KB
TDP
50W
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
7.5
Power Connectors
None
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.
32
Suggested PSU
250W

Benchmarks

FP32 (float)
Score
2.55 TFLOPS
3DMark Time Spy
Score
3069
Blender
Score
480
OctaneBench
Score
72

Compared to Other GPU

FP32 (float) / TFLOPS
2.693 +5.6%
2.601 +2%
2.55
2.509 -1.6%
2.441 -4.3%
3DMark Time Spy
5781 +88.4%
4277 +39.4%
3069
1921 -37.4%
1126 -63.3%
Blender
1721 +258.5%
927 +93.1%
247 -48.5%
92 -80.8%
OctaneBench
299 +315.3%
127 +76.4%
37 -48.6%
19 -73.6%