Intel Data Center GPU Flex 140
About GPU
The Intel Data Center GPU Flex 140 is a powerful and efficient GPU designed for professional use in data centers. With a base clock speed of 1600MHz and a boost clock speed of 1950MHz, this GPU delivers impressive performance for demanding workloads.
The 6GB of GDDR6 memory and a memory clock speed of 1937MHz ensure that the GPU has ample memory bandwidth for handling large datasets and complex computations. The 1024 shading units and 4MB of L2 cache further enhance the GPU's ability to handle parallel processing tasks effectively.
One of the standout features of the Intel Data Center GPU Flex 140 is its low power consumption, with a TDP of just 75W. This makes it an energy-efficient option for data centers, reducing overall power usage and operational costs.
In terms of performance, the GPU delivers a theoretical performance of 3.994 TFLOPS, making it well-suited for applications such as high-performance computing, machine learning, and data analytics.
Overall, the Intel Data Center GPU Flex 140 offers a compelling combination of performance, energy efficiency, and professional-grade features, making it an attractive option for data center deployments. Whether used for AI inference, virtual desktop infrastructure, or content delivery network applications, this GPU is well-equipped to handle the demands of modern data center workloads.
Basic
Label Name
Intel
Platform
Professional
Launch Date
August 2022
Model Name
Data Center GPU Flex 140
Generation
Data Center GPU
Base Clock
1600MHz
Boost Clock
1950MHz
Bus Interface
PCIe 4.0 x8
Memory Specifications
Memory Size
6GB
Memory Type
GDDR6
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.
96bit
Memory Clock
1937MHz
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.
186.0 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.
62.40 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.
124.8 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.
7.987 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.
4.074
TFLOPS
Miscellaneous
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.
1024
L2 Cache
4MB
TDP
75W
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.
1.3
OpenCL Version
3.0
Benchmarks
FP32 (float)
Score
4.074
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS