NVIDIA H100 PCIe 96 GB
About GPU
The NVIDIA H100 PCIe 96 GB GPU is a professional-grade graphics processing unit designed for high-performance computing and data-intensive applications. With a base clock speed of 1665MHz and a boost clock speed of 1837MHz, this GPU delivers exceptional processing power for demanding workloads.
One of the standout features of the NVIDIA H100 GPU is its massive 96GB of HBM3 memory, which enables it to handle large datasets and complex simulations with ease. The high memory clock speed of 1313MHz further enhances the GPU's ability to quickly access and process large amounts of data.
With 16896 shading units and a 50MB L2 cache, the H100 GPU is capable of handling complex graphics and compute workloads with precision and efficiency. The impressive theoretical performance of 62.08 TFLOPS ensures that this GPU can tackle even the most demanding tasks with ease.
The TDP of 700W reflects the H100's high power requirements, making it suitable for workstations and servers with robust cooling and power delivery systems. However, this high power requirement is justified by the outstanding performance and capabilities of this GPU.
Overall, the NVIDIA H100 PCIe 96 GB GPU is a powerhouse graphics card that is well-suited for professionals and researchers working with large-scale simulations, deep learning, and other data-intensive workloads. Its combination of high memory capacity, processing power, and efficient architecture make it a valuable asset for those requiring top-tier performance for their work.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
H100 PCIe 96 GB
Generation
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.
1681 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.
63.322
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
63.322
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS