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NVIDIA T1000

NVIDIA T1000: A Compact Graphics Card for Professionals and Enthusiasts

Current as of April 2025

Introduction

The NVIDIA T1000 graphics card, introduced in 2021, remains a popular solution for users seeking a balance between performance, energy efficiency, and compactness. Despite the release of newer models, the T1000 continues to hold its ground in the budget workstation and small-form-factor system niche. In this article, we will explore who this card is suitable for and what tasks it can handle in 2025.

Architecture and Key Features

Turing Architecture: A Legacy of Evolution

The NVIDIA T1000 is built on the Turing architecture, which was groundbreaking at the time due to its support for ray tracing (RTX) and tensor cores for AI computations. However, the T1000 lacks these features; the card is focused on traditional computing and rendering.

Manufacturing Process and Features

- 12nm Process (TSMC): A cost-effective and proven option that ensures low power consumption.

- CUDA Cores: 896 cores operating at a base frequency of 1395 MHz and a boost frequency of up to 1695 MHz.

- No RT and Tensor Cores: This is not an RTX card, so ray tracing and DLSS are unavailable.

API and Technology Support

- DirectX 12, OpenGL 4.6, Vulkan 1.3.

- NVIDIA NVENC: Hardware video encoding in H.264 and H.265 formats, useful for streamers and video editing.

Memory: Speed and Efficiency

Type and Volume

- GDDR6: 4 GB or 8 GB (depending on the variant).

- 128-bit Bus: Bandwidth — 160 GB/s (for the 8 GB version).

Impact on Performance

4 GB is sufficient for 1080p workloads, but for complex 3D models or 4K textures, it is better to opt for 8 GB. For example, in Blender, scenes with high-polygon objects can require more than 5 GB of video memory.

Gaming Performance: Modest Results

The T1000 is not marketed as a gaming card, but it can run less demanding projects:

- CS2 (1080p, medium settings): ~90-110 FPS.

- Fortnite (1080p, Epic, without RT): ~45-55 FPS.

- Cyberpunk 2077 (1080p, Low): ~25-30 FPS — comfortable gameplay only on the lowest settings.

Resolutions and Limitations

- 1440p and 4K: Not recommended due to lack of power and memory.

- Ray Tracing: Not supported.

Professional Tasks: Main Specialization

3D Modeling and Rendering

- Blender, Maya: Rendering on CUDA is 1.5–2 times faster than on a mid-range CPU (e.g., Ryzen 5 7600X).

- SolidWorks: Support for RealView provides smooth model viewing.

Video Editing

- DaVinci Resolve: Hardware acceleration for encoding reduces 4K video export times by 30–40% compared to integrated graphics.

- Adobe Premiere Pro: Smooth timeline playback with effects when using Mercury Playback Engine (GPU mode).

Scientific Computations

- CUDA and OpenCL: Suitable for machine learning on base models and data processing in MATLAB.

Power Consumption and Thermal Output

TDP and Cooling

- TDP 50W: The card is available in versions with passive (fanless) and active cooling.

- Recommendations:

- For passive models — a case with good ventilation (e.g., Fractal Design Node 304).

- For SFF builds — ensure that the GPU does not obstruct airflow.

Comparison with Competitors

NVIDIA T1000 (8 GB) vs. AMD Radeon Pro W5500 (8 GB)

- Rendering Performance: W5500 is 15–20% faster due to RDNA 2.0 architecture.

- Energy Efficiency: T1000 consumes 20W less.

- Price: $250 (T1000) versus $300 (W5500).

Intel Arc A380 (6 GB)

- Pros: Support for AV1 and higher gaming performance.

- Cons: Drivers for professional applications are less stable.

Practical Tips

Power Supply

- Minimum 300W: Even for passive versions.

- Recommended PSUs: Corsair CX450, be quiet! SFX Power 3 400W.

Compatibility

- Platforms: Works with PCIe 3.0 and 4.0.

- Drivers: Use Studio Drivers for professional tasks — they are optimized for stability.

Pros and Cons

Pros:

- Low power consumption.

- Compact size (available in Low Profile form factor).

- Support for CUDA and NVENC.

Cons:

- Weak gaming performance.

- No RTX and DLSS support.

- Limited memory size for heavy tasks.

Final Conclusion: Who Is the T1000 For?

For whom:

- Designers and engineers who need a reliable card for CAD applications and rendering.

- Small form factor PC owners (HTPC, office systems).

- Budget-conscious enthusiasts ($200–250) seeking a balance between work and light gaming.

Why in 2025?

Despite its age, the T1000 remains relevant due to its availability, low TDP, and driver stability. However, for modern games with RTX or complex neural network tasks, it is better to look at the RTX 40 series or AMD RDNA 4 cards.

Prices are current as of April 2025: NVIDIA T1000 8 GB — $250 (new), AMD W5500 — $300, Intel Arc A380 — $180.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

May 2021

Model Name

T1000

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.

Foundry

TSMC

Process Size

12 nm

Architecture

Turing

Memory Specifications

Memory Size

4GB

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.

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.

Suggested PSU

250W

Benchmarks

FP32 (float)

Score

2.55 TFLOPS

3DMark Time Spy

Score

3079

Vulkan

Score

34688

OpenCL

Score

37494

Compared to Other GPU

FP32 (float) / TFLOPS

GeForce GTX 970M

2.71 +6.3%

Radeon Pro WX Vega M GL

2.64 +3.5%

T1000

2.55

ROG Ally GPU

2.509 -1.6%

Quadro M4000M

2.446 -4.1%

3DMark Time Spy

RTX A2000

5806 +88.6%

Radeon R9 390X

4330 +40.6%

T1000

3079

GeForce GTX 680

1961 -36.3%

Radeon RX 550

1171 -62%

Vulkan

Radeon Pro Vega II Duo

98446 +183.8%

Radeon RX 6700S

69708 +101%

Radeon RX 580 2048SP

40716 +17.4%

T1000

34688

GeForce 940M

5522 -84.1%

OpenCL

Radeon RX 6600 XT

80858 +115.7%

GeForce GTX 1080 Ti

61514 +64.1%

T1000

37494

Quadro P2000

19095 -49.1%

GeForce GTX 660

11135 -70.3%