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NVIDIA RTX 3500 Embedded Ada Generation
NVIDIA RTX 3500 Embedded Ada Generation: A Comprehensive Overview
The NVIDIA RTX 3500 Embedded Ada Generation represents a significant leap in GPU technology, particularly for embedded systems and professional applications. With its advanced architecture and impressive features, it caters to a wide range of users, from gamers to professionals in creative industries. In this article, we will delve into various aspects of the RTX 3500, including its architecture, memory specifications, gaming performance, professional capabilities, power consumption, and more.
1. Architecture and Key Features
Ada Lovelace Architecture
The RTX 3500 is built on NVIDIA's Ada Lovelace architecture, which is known for its improvements in ray tracing and AI-based technologies. This architecture features a more efficient design that enhances performance while reducing power consumption. The Ada architecture leverages advanced manufacturing processes, utilizing TSMC's 4N technology, which improves transistor density and energy efficiency.
Unique Features
Ray Tracing (RTX)
One of the standout features of the RTX 3500 is its real-time ray tracing capabilities. This technology simulates the way light interacts with objects in a scene to create incredibly realistic graphics. The inclusion of dedicated RT cores allows the GPU to handle these complex calculations efficiently, providing gamers with stunning visuals.
DLSS (Deep Learning Super Sampling)
DLSS is another critical feature of the RTX 3500. By using AI to upscale lower-resolution images, DLSS allows for higher frame rates without sacrificing visual fidelity. This can be particularly beneficial for gamers who wish to experience 4K gaming without the need for an ultra-powerful GPU.
FidelityFX
While primarily associated with AMD, FidelityFX is supported on the RTX 3500 as well. This suite of visual enhancement tools improves image quality and performance, making it a valuable addition for developers looking to optimize their games.
2. Memory Specifications
Memory Type and Capacity
The RTX 3500 features GDDR6 memory, which is known for its high bandwidth and efficiency. The GPU is equipped with 8GB of GDDR6 VRAM, providing ample space for modern gaming and professional applications.
Memory Bandwidth
With a memory bus width of 256 bits and a memory speed of 14 Gbps, the RTX 3500 achieves a memory bandwidth of approximately 448 GB/s. This high bandwidth is crucial for handling large textures and complex scenes in both gaming and professional workloads.
Impact on Performance
The memory specifications play a significant role in the overall performance of the RTX 3500. The high bandwidth ensures smooth gameplay at higher resolutions and allows for better handling of demanding applications, such as video editing and 3D rendering.
3. Gaming Performance
Average FPS in Popular Titles
In terms of gaming performance, the RTX 3500 excels across a variety of popular titles. For instance, in games like "Cyberpunk 2077," users can expect an average of around 60 FPS at 1080p with high settings. At 1440p, the performance drops slightly to around 45 FPS, while 4K gaming typically yields around 25-30 FPS, particularly with ray tracing enabled.
Support for Different Resolutions
- 1080p: The RTX 3500 easily handles 1080p gaming, often achieving frame rates exceeding 60 FPS in most AAA titles.
- 1440p: At this resolution, the GPU remains powerful, providing a solid experience with an average FPS ranging from 45 to 60 in demanding games.
- 4K: While 4K gaming is possible, users may need to adjust settings to achieve playable frame rates, especially in graphically intensive titles.
Impact of Ray Tracing
The inclusion of RT cores in the RTX 3500 allows for real-time ray tracing, significantly enhancing visual fidelity. However, enabling this feature does impact performance, particularly at 4K resolutions. Players who prioritize graphics quality may be willing to sacrifice some frame rates for the stunning visuals that ray tracing offers.
4. Professional Tasks
Video Editing and 3D Modeling
The RTX 3500 is not just a gamer’s GPU; it also excels in professional applications. Video editing software such as Adobe Premiere Pro and DaVinci Resolve can leverage CUDA cores for faster rendering times. In 3D modeling applications like Blender, the RTX 3500 can handle complex scenes and simulations with ease, making it a viable option for professionals in creative industries.
Scientific Calculations (CUDA/OpenCL)
For users involved in scientific computing, the RTX 3500 supports CUDA and OpenCL, allowing for accelerated calculations and parallel processing. This capability is invaluable in fields such as machine learning, data analysis, and simulations, where large datasets and complex algorithms need to be processed efficiently.
5. Power Consumption and Thermal Management
Thermal Design Power (TDP)
The RTX 3500 has a TDP of around 150 watts, making it relatively efficient compared to other high-performance GPUs. This allows for more flexible system designs, particularly in embedded applications where space and power are limited.
Cooling Recommendations
To maintain optimal performance, adequate cooling solutions are essential. Users should consider using a well-ventilated case and high-quality aftermarket coolers if necessary. Liquid cooling solutions can also be beneficial for users pushing the GPU to its limits.
6. Comparison with Competitors
When comparing the RTX 3500 with similar models from AMD and NVIDIA, it stands out due to its unique combination of ray tracing capabilities and performance. For instance:
- AMD Radeon RX 6700 XT: While it offers competitive gaming performance, it lacks the same level of ray tracing efficiency as the RTX 3500.
- NVIDIA RTX 3060 Ti: The RTX 3500 generally outperforms this older model, especially in ray tracing and DLSS-supported games.
7. Practical Tips
Power Supply Unit (PSU) Recommendations
To ensure stable performance, a PSU rated at least 550 watts is recommended for the RTX 3500. This provides ample headroom for other components and ensures reliable operation under load.
Compatibility with Platforms
The RTX 3500 is compatible with a wide range of motherboards, thanks to its PCIe 4.0 interface. Users should ensure their systems support this standard to maximize performance.
Driver Nuances
Regularly updating drivers is crucial for optimal performance and compatibility with the latest games and applications. NVIDIA’s GeForce Experience software simplifies this process, making it easy for users to keep their drivers up to date.
8. Pros and Cons
Pros
- Excellent Ray Tracing Performance: The dedicated RT cores provide outstanding ray tracing capabilities.
- DLSS Support: Enhances gaming performance without sacrificing image quality.
- High Memory Bandwidth: Ensures smooth performance in both gaming and professional applications.
- Versatile for Gaming and Professional Use: Suitable for a wide range of workloads, from gaming to video editing.
Cons
- Price Point: The RTX 3500 may be priced higher than some competitors, making it less accessible for budget-conscious users.
- Performance at 4K: While capable, it may struggle to maintain high frame rates at 4K resolution in demanding games.
9. Conclusion
The NVIDIA RTX 3500 Embedded Ada Generation is a powerful GPU that caters to both gamers and professionals alike. With its advanced architecture, excellent ray tracing capabilities, and solid performance across various applications, it stands out in the crowded GPU market. Whether you're a gamer looking for an immersive experience or a professional needing reliable performance for demanding tasks, the RTX 3500 is an excellent choice. Its combination of features makes it suitable for a wide range of users, ensuring that it remains a relevant option for years to come.
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Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
March 2023
Model Name
RTX 3500 Embedded Ada Generation
Generation
Quadro Ada-M
Base Clock
1725MHz
Boost Clock
2250MHz
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.
5120
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.
40
Transistors
35,800 million
RT Cores
40
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.
160
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.
160
L1 Cache
128 KB (per SM)
L2 Cache
48MB
Bus Interface
PCIe 4.0 x16
Foundry
TSMC
Process Size
5 nm
Architecture
Ada Lovelace
TDP
100W
Memory Specifications
Memory Size
12GB
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.
192bit
Memory Clock
2250MHz
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.
432.0 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.
144.0 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.
360.0 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.
23.04 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.
360.0 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.
23.033
TFlops
Miscellaneous
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
8.9
Power Connectors
None
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.
64
Shader Model
6.7
Suggested PSU
300W
FP32 (float)
23.033
TFlops
Compared to Other GPU
48%
49%
87%
Better then 49% GPU over the past 3 years
Better then 87% GPU
SiliconCat Rating
64
Ranks 64 among Desktop GPU on our website
115
Ranks 115 among all GPU on our website
FP32 (float)
