Description
Overview of the Nvidia Tesla M2090 GPU
The Nvidia Tesla M2090 is a professional graphics processing unit (GPU) designed for use in high-performance computing and scientific research applications. It is based on the Fermi architecture, which was the first GPU architecture to support the CUDA programming model, allowing developers to use the GPU for general purpose computing tasks.
The Tesla M2090 features 512 CUDA cores, which are the basic building blocks of the GPU that perform mathematical calculations. It also has a clock speed of 1.15 GHz, which allows for fast performance in complex computations. The GPU also has a 6GB of GDDR5 memory, which is a high-speed memory technology that allows for fast data transfer between the GPU and the system memory.
One of the main benefits of the Tesla M2090 is its high performance in parallel computing tasks. This makes it well-suited for applications such as scientific simulations, financial modeling, and machine learning algorithms. Additionally, the GPU also supports ECC memory, which is a type of memory that can detect and correct errors, making it suitable for use in mission-critical applications such as scientific research.
In conclusion, The Nvidia Tesla M2090 is a professional graphics processing unit designed for high-performance computing and scientific research applications. It features 512 CUDA cores, a clock speed of 1.15 GHz, and 6GB of GDDR5 memory. It is well-suited for parallel computing tasks and supports ECC memory, making it suitable for use in mission-critical applications.
6GB GDDR5 Memory and its significance
The Nvidia Tesla M2090 graphics card is equipped with 6GB of GDDR5 memory, which is a type of memory commonly used in high-performance graphics cards. GDDR5 stands for “Graphics Double Data Rate 5” and is a high-speed memory technology that is capable of transferring data at much faster rates than traditional memory technologies such as DDR3.
The significance of having 6GB of GDDR5 memory on the Tesla M2090 is that it provides a large amount of memory bandwidth, which is the rate at which data can be transferred between the GPU and the system memory. This allows for faster performance in tasks that require a lot of memory, such as scientific simulations and machine learning algorithms.
Additionally, having a large amount of memory also allows for larger data sets to be processed and stored, which is important in applications such as scientific research, where large amounts of data need to be analyzed.
In summary, the 6GB of GDDR5 memory on the Nvidia Tesla M2090 graphics card provides a large amount of memory bandwidth, which allows for faster performance in tasks that require a lot of memory. It also allows for larger data sets to be processed and stored, which is important in applications such as scientific research.
384-bit Memory Interface and its advantages
The Nvidia Tesla M2090 graphics card has a 384-bit memory interface, which refers to the width of the data path between the GPU and the memory. A wider memory interface means that more data can be transferred between the GPU and the memory at once, resulting in faster performance.
The advantages of having a 384-bit memory interface on the Tesla M2090 include:
- Increased memory bandwidth: A wider memory interface allows for more data to be transferred between the GPU and the memory at once, resulting in faster performance in tasks that require a lot of memory.
- Improved memory efficiency: A wider memory interface allows for better utilization of the memory, reducing the number of memory accesses required to transfer data, which can improve performance.
- Larger memory capacity: A wider memory interface allows for more memory to be connected to the GPU, which can be beneficial for tasks that require a lot of memory such as large scientific simulations.
- Better scalability: A wider memory interface allows for the use of multiple memory modules, which can be beneficial in high-performance computing systems where more memory is needed.
PCI-E x16 Interface and its benefits
The Nvidia Tesla M2090 graphics card uses the PCI-Express (PCI-E) x16 interface to connect to a computer’s motherboard. PCI-E is a high-speed interface standard that is used to connect devices such as graphics cards, sound cards, and network cards to a computer’s motherboard.
The benefits of using the PCI-E x16 interface on the Tesla M2090 include:
- High-speed data transfer: PCI-E x16 provides a high-speed data transfer rate of up to 16GB/s, which is much faster than older interface standards such as AGP and PCI.
- Scalability: PCI-E allows for multiple devices to be connected to a computer’s motherboard at the same time, with each device having its own dedicated data path. This allows for more devices to be added to a system as needed.
- Low latency: PCI-E has a lower latency than older interface standards, which means less delay in data transfer and improved performance.
- Power management: PCI-E also includes power management features that allow devices to conserve power when not in use, which can be beneficial for power-sensitive applications such as scientific simulations.
In summary, the PCI-E x16 interface on the Nvidia Tesla M2090 graphics card provides high-speed data transfer, scalability, low latency, and power management features which all contribute to better performance, and flexibility for the system.
General Information
- Brand: HP
- MPN : A0J99A
- Type: Video Cards
- Sub-Type: Graphics Card
- SKU : A0J99A
Processor & Chipset
- Chipset Manufacturer: NVIDIA
- Chipset Line: Tesla
- Chipset Series: M
- Chipset Model: M2090
Memory
- Standard Memory: 6 GB
- Memory Technology: GDDR5
Physical Characteristics
- Weight (Approximate): 2.01 lb
