NVIDIA L20
About GPU
The NVIDIA L20 GPU is an incredibly powerful and efficient graphics processing unit designed for desktop use. With a base clock speed of 1440MHz and a boost clock speed of 2520MHz, the L20 is capable of delivering exceptional performance for a wide range of tasks, from gaming to professional graphics rendering.
One of the standout features of the L20 is its massive 48GB of GDDR6 memory, which allows for smooth and seamless multitasking and ensures that even the most demanding applications can run with ease. The L20 boasts a memory clock speed of 2250MHz, further enhancing its capabilities.
With an impressive 11776 shading units and a massive 96MB of L2 cache, the L20 is able to handle complex and graphically intensive workloads with ease. Furthermore, its TDP of 275W ensures that the GPU runs efficiently without sacrificing performance.
In terms of raw power, the L20 is capable of delivering a theoretical performance of 59.35 TFLOPS, making it one of the most powerful GPUs on the market.
Overall, the NVIDIA L20 GPU is a powerhouse of a graphics card, capable of handling the most demanding tasks with ease. Whether you're a hardcore gamer, a professional graphic designer, or a data scientist in need of powerful computing capabilities, the L20 is sure to impress with its exceptional performance and efficiency.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
November 2023
Model Name
L20
Generation
Tesla Ada
Base Clock
1440MHz
Boost Clock
2520MHz
Bus Interface
PCIe 4.0 x16
Memory Specifications
Memory Size
48GB
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.
384bit
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.
864.0 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.
322.6 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.
927.4 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.
59.35 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.
927.4 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.
59.35
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.
92
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.
11776
L1 Cache
128 KB (per SM)
L2 Cache
96MB
TDP
275W
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
59.35
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS