NVIDIA H100 SXM5 80 GB
About GPU
The NVIDIA H100 SXM5 80 GB GPU is an absolute powerhouse, designed for professional use and built to handle the most demanding workloads. With a base clock of 1590MHz and a boost clock of 1980MHz, this GPU delivers exceptional performance across a wide range of applications.
The 80GB of HBM3 memory and a memory clock of 1313MHz ensure that this GPU can handle even the most memory-intensive tasks with ease. With an impressive 16896 shading units and 50MB of L2 cache, the H100 SXM5 offers unparalleled processing power and efficiency.
One of the most impressive features of the H100 SXM5 is its theoretical performance of 66.91 TFLOPS, making it one of the most powerful GPUs on the market for professional use. Whether you're working on complex simulations, machine learning, or other compute-intensive tasks, the H100 SXM5 is more than up to the challenge.
It's important to note that the H100 SXM5 does have a TDP of 700W, so it will require adequate cooling and power delivery to operate at its full potential. However, for users who need top-of-the-line performance, the power consumption is a worthwhile tradeoff for the immense processing power this GPU offers.
Overall, the NVIDIA H100 SXM5 80 GB GPU is an absolute beast of a graphics card, offering unparalleled performance and capabilities for professional users. If you require the absolute best in terms of performance and efficiency, the H100 SXM5 is definitely worth considering.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
H100 SXM5 80 GB
Generation
Hopper
Base Clock
1590MHz
Boost Clock
1980MHz
Bus Interface
PCIe 5.0 x16
Transistors
80,000 million
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.
528
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.
528
Foundry
TSMC
Process Size
4 nm
Architecture
Hopper
Memory Specifications
Memory Size
80GB
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.
47.52 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.
1045 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.
1979 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.
34 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.
68.248
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
OpenGL
N/A
DirectX
N/A
CUDA
9.0
Power Connectors
8-pin EPS
Shader Model
N/A
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.
24
Suggested PSU
1100W
Benchmarks
FP32 (float)
Score
68.248
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS