NVIDIA B200 SXM 192 GB
About GPU
The NVIDIA B200 SXM GPU is a powerhouse in the world of graphics processing. With a base clock of 1665MHz and a boost clock of 1837MHz, this GPU offers lightning-fast speeds for even the most demanding applications. Its massive 96GB of HBM3e memory and a memory clock of 2000MHz ensure that you can handle even the most complex tasks with ease.
With 16896 shading units and 50MB of L2 cache, the B200 SXM GPU is capable of handling intense workloads without breaking a sweat. The 1000W TDP may be on the higher side, but it is necessary to power the immense capabilities of this GPU.
The theoretical performance of 60.838 TFLOPS speaks to the sheer power of this GPU and its ability to handle even the most demanding tasks with ease. Whether you are a professional working on 3D rendering, AI, or scientific simulations, the B200 SXM GPU has the capabilities to meet your needs.
While the power consumption of this GPU may be a consideration for some, the immense performance it offers more than makes up for it. Overall, the NVIDIA B200 SXM 192GB GPU is a top-of-the-line option for those who need uncompromising performance and power in their graphics processing.
Basic
Label Name
NVIDIA
Platform
Desktop
Launch Date
January 2024
Model Name
B200 SXM 192 GB
Generation
Tesla Blackwell
Base Clock
1665MHz
Boost Clock
1837MHz
Bus Interface
PCIe 5.0 x16
Memory Specifications
Memory Size
96GB
Memory Type
HBM3e
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.
4096bit
Memory Clock
2000MHz
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.
4.10 TB/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.
60.838
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
1000W
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
60.838
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS