NVIDIA H100 SXM5 96 GB
About GPU
The NVIDIA H100 SXM5 96 GB GPU is a professional-grade graphics processing unit that offers exceptional performance and capabilities for demanding workloads and complex computational tasks. With a base clock speed of 1665MHz and a boost clock speed of 1837MHz, this GPU delivers impressive processing power to handle high-performance computing tasks with ease.
One of the standout features of the NVIDIA H100 SXM5 is its massive 96GB of HBM3 memory, which allows for large datasets and complex simulations to be processed efficiently. The high memory clock speed of 1313MHz ensures that data can be accessed and manipulated quickly, further enhancing the GPU's overall performance.
With 16896 shading units and 50MB of L2 cache, this GPU is well-equipped to handle parallel processing and advanced rendering tasks. Its TDP of 700W reflects the high level of power required to fuel its impressive capabilities, making it best suited for high-performance computing environments.
In terms of performance, the NVIDIA H100 SXM5 boasts a theoretical performance of 66.98 TFLOPS, making it suitable for a wide range of professional applications, including scientific research, data analysis, and advanced image and video processing.
Overall, the NVIDIA H100 SXM5 96 GB GPU is a powerhouse solution for professionals and organizations that require top-tier performance for their computational and graphical workloads. Its combination of high memory capacity, advanced processing power, and efficient data handling make it a formidable choice for demanding tasks.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
H100 SXM5 96 GB
Generation
Tesla Hopper
Base Clock
1665MHz
Boost Clock
1837MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
96GB
Memory Type
HBM3
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.
5120bit
Memory Clock
1313MHz
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.
3350 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.
44.09 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.
969.9 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.
248.3 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.
31.04 TFLOPS
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.
68.32
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.
132
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.
16896
L1 Cache
256 KB (per SM)
L2 Cache
50MB
TDP
700W
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.
N/A
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
68.32
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS