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NVIDIA T600

NVIDIA T600: A Compact Hybrid for Professionals and Everyday Tasks

April 2025

Introduction

The NVIDIA T600 is not just another graphics card; it is a versatile solution for those seeking a balance between performance, energy efficiency, and price. Released in 2021, by 2025 the model remains relevant due to driver optimizations and availability in the secondary market. In this article, we will explore who the T600 is suitable for today and what tasks it can handle.

Architecture and Key Features

Turing: The Foundation of Stability

The NVIDIA T600 is built on the Turing architecture but lacks RTX feature support. This makes it closely related to the Quadro series, which is aimed at the professional sector. The manufacturing process is 12 nm TSMC, ensuring low thermal output.

What Can the T600 Do?

- CUDA Cores: 896 cores for parallel processing.

- Absence of RT Cores: Ray tracing is not supported.

- DLSS and FidelityFX: Not available due to architectural limitations.

The card focuses on stability rather than innovation, making it ideal for workstations.

Memory: Minimum for Maximum Tasks

GDDR6: Speed and Efficiency

- Capacity: 4 GB (less commonly, 8 GB in 2023 modifications).

- Bus: 128-bit.

- Bandwidth: 160 GB/s.

This is sufficient for working in 1080p and basic 3D modeling, but for 4K textures or complex scenes, the memory size becomes a bottleneck.

Gaming Performance: Modest but Honest

1080p: Comfortable Gaming on Medium Settings

- CS2: 90-110 FPS (high settings).

- Fortnite: 50-60 FPS (medium settings, no Ray Tracing).

- Cyberpunk 2077: 30-35 FPS (low settings).

1440p and 4K: Not Recommended

Even in lighter projects (e.g., Rocket League), a 1440p resolution yields around 45 FPS. The card is unsuitable for 4K.

Professional Tasks: The Main Domain of the T600

Video Editing and Rendering

Thanks to NVENC (hardware encoding) and CUDA support, the T600 handles:

- Rendering in Blender: A moderately complex scene takes 12-15 minutes to process.

- Editing in Premiere Pro: 4K projects with color correction play back without lag.

Scientific Calculations

Support for OpenCL 3.0 and CUDA 11 makes the card useful for MATLAB and lightweight simulations (e.g., physical models in Ansys).

Power Consumption and Thermal Output

TDP 40W: Silence and Compactness

- Power Supply: Does not require additional connectors (powered through PCIe x16).

- Cooling: Passive or single-fan.

- Recommendations: Cases with good ventilation (e.g., Fractal Design Core 500), avoid "hot" builds with densely packed components.

Comparison with Competitors

NVIDIA vs AMD

- AMD Radeon Pro W5500: 8 GB GDDR6, 120W TDP. Better in rendering but more expensive ($250).

- NVIDIA T400: 2 GB GDDR6, 30% weaker in games, but cheaper ($100).

- Intel Arc A380: 6 GB GDDR6, comparable price ($140), but worse driver support for professional applications.

Conclusion: The T600 occupies a niche between budget and professional solutions, offering NVIDIA's stability.

Practical Tips

Building a System

- Power Supply: 300W (sufficient for T600, but for headroom — 400-450W).

- Platforms: Compatible with PCIe 3.0/4.0, suitable for older PCs (based on Intel's 4th generation and newer).

- Drivers: Use Studio Drivers for working in Adobe or Autodesk applications.

Pros and Cons

Strengths

- Low power consumption.

- Silent cooling.

- Stability in professional tasks.

Weaknesses

- 4 GB of memory is insufficient for 2025.

- No support for Ray Tracing and DLSS.

Final Verdict: Who is the NVIDIA T600 Suitable For?

This graphics card is an ideal choice for:

1. Office PCs with occasional rendering.

2. Students and novice 3D designers.

3. Mini-PCs and HTPCs (e.g., for media centers).

The price of the new T600 in 2025 is $160-180. If you don't need ultra settings in games or complex simulations, the T600 will be a reliable companion for the next 2-3 years. However, for modern AAA games or 4K editing, it would be worth considering more powerful options, like the RTX 3050 or the Radeon RX 6600.

Basic

Label Name

NVIDIA

Platform

Desktop

Launch Date

April 2021

Model Name

T600

Generation

Quadro

Base Clock

735MHz

Boost Clock

1335MHz

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.

42.72 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.

53.40 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.

3.418 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.

53.40 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.

1.675 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.

640

L1 Cache

64 KB (per SM)

L2 Cache

1024KB

TDP

40W

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

200W

Benchmarks

FP32 (float)

Score

1.675 TFLOPS

3DMark Time Spy

Score

2208

OctaneBench

Score

Vulkan

Score

25429

OpenCL

Score

27418

Compared to Other GPU

FP32 (float) / TFLOPS

Radeon RX 560 Mobile

1.812 +8.2%

Radeon HD 5830

1.756 +4.8%

T600

1.675

Radeon Pro WX 3200

1.625 -3%

Radeon Graphics 448SP Mobile

1.581 -5.6%

3DMark Time Spy

Arc A550M

5182 +134.7%

Radeon RX 580 2048SP

3906 +76.9%

Radeon 780M

2755 +24.8%

T600

2208

GeForce GT 1030 DDR4

623 -71.8%

OctaneBench

GeForce RTX 3060 Mobile

273 +435.3%

Quadro P5200 Max Q

123 +141.2%

Tesla K40m

69 +35.3%

T600

GeForce GTX 1080 Max Q

10 -80.4%

Vulkan

Radeon Pro Vega II Duo

98446 +287.1%

Radeon RX 6700S

69708 +174.1%

Radeon RX 580 2048SP

40716 +60.1%

T600

25429

GeForce 940M

5522 -78.3%

OpenCL

Radeon RX 6600S

66774 +143.5%

Radeon RX 6550M

46389 +69.2%

T600

27418

GeForce GTX 965M

13849 -49.5%

Radeon Pro 450

8880 -67.6%