NVIDIA H800 PCIe 80 GB
About GPU
The NVIDIA H800 PCIe 80 GB GPU is a powerhouse when it comes to professional-grade graphics processing. With a base clock speed of 1095MHz and a boost clock speed of 1755MHz, this GPU offers impressive performance for demanding workloads. The 80GB of HBM2e memory, with a clock speed of 1593MHz, ensures that even the most complex and high-resolution graphics can be processed efficiently.
With a massive 18432 shading units and 50MB of L2 cache, the H800 PCIe GPU is able to handle intensive graphical tasks with ease. Its TDP of 350W may be on the higher side, but this is understandable given the immense processing power it delivers. The theoretical performance of 51.22 TFLOPS further cements its status as a top-tier GPU for professional use.
In terms of real-world performance, the NVIDIA H800 PCIe 80 GB GPU excels in tasks such as 3D rendering, video editing, and other graphics-heavy applications. It allows for smooth and fluid manipulation of high-resolution content, making it a valuable asset for professionals in industries such as design, animation, and engineering.
Overall, the NVIDIA H800 PCIe 80 GB GPU is a formidable choice for anyone in need of uncompromising graphics performance. Its impressive specifications, massive memory capacity, and exceptional processing power make it a worthy investment for professionals who require nothing but the best in graphics processing.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
March 2022
Model Name
H800 PCIe 80 GB
Generation
NVIDIA Hopper
Base Clock
1095MHz
Boost Clock
1755MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
80GB
Memory Type
HBM2e
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
1593MHz
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.
2039 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.
42.12 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.
800.3 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.
1513 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.
0.8 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.
52.244
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.
114
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.
18432
L1 Cache
256 KB (per SM)
L2 Cache
50MB
TDP
350W
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
52.244
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS