NVIDIA Tesla X2070
About GPU
The NVIDIA Tesla X2070 GPU is a professional-grade graphics processing unit designed for high-performance computing and scientific simulations. With a memory size of 6GB and a memory type of GDDR5, this GPU is capable of handling large datasets and complex computations with ease. The 924MHz memory clock ensures fast and efficient data transfer, while the 448 shading units and 768KB L2 cache provide the processing power needed for demanding workloads.
One of the standout features of the Tesla X2070 is its impressive theoretical performance of 1.166 TFLOPS, making it well-suited for machine learning, artificial intelligence, and other data-intensive tasks. Additionally, the 225W TDP ensures that the GPU can maintain high levels of performance without overheating or throttling.
In real-world applications, the Tesla X2070 excels at accelerating scientific simulations, computational fluid dynamics, and molecular modeling. Its high memory bandwidth and parallel processing capabilities make it ideal for handling complex algorithms and large-scale simulations.
While the Tesla X2070 is primarily aimed at professional users and data centers, it also offers benefits for developers and researchers looking to harness the power of GPU computing for their work. Overall, the NVIDIA Tesla X2070 GPU stands out as a reliable and powerful solution for high-performance computing tasks, offering excellent performance and efficiency for professional applications.
Basic
Label Name
NVIDIA
Platform
Professional
Launch Date
July 2011
Model Name
Tesla X2070
Generation
Tesla
Bus Interface
MXM-B (3.0)
Transistors
3,100 million
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.
56
Foundry
TSMC
Process Size
40 nm
Architecture
Fermi
Memory Specifications
Memory Size
6GB
Memory Type
GDDR5
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.
384bit
Memory Clock
924MHz
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.
177.4 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.
18.23 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.
36.46 GTexel/s
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.
582.8 GFLOPS
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.
1.143
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.
14
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.
448
L1 Cache
64 KB (per SM)
L2 Cache
768KB
TDP
225W
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
1.1
OpenGL
4.6
DirectX
12 (11_0)
CUDA
2.0
Shader Model
5.1
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.
48
Suggested PSU
550W
Benchmarks
FP32 (float)
Score
1.143
TFLOPS
Compared to Other GPU
FP32 (float)
/ TFLOPS