NVIDIA 690-20357-0501-300 Tesla Gpu Computing Processor C870 1.5GB GDDR3

( Brand: Nvidia ), ( Part Type: Processor ), ( Manufacturer Part Number: 690-20357-0501-300 )

Review NVIDIA Tesla 1.5gb Gpu Computing Processor

The NVIDIA Tesla C870 1.5GB GDDR3 GPU Computing Processor is a high-performance graphics processing unit (GPU) designed specifically for data center and high-performance computing applications. This particular model, with the product identifier 690-20357-0501-300, comes equipped with 1,536 CUDA cores and a total memory of 1.5GB GDDR3.

The C870 GPU is based on NVIDIA's Fermi architecture, which delivers exceptional compute performance and power efficiency. It features a unified virtual addressing scheme, allowing data to be accessed from global memory with a single instruction, leading to increased memory bandwidth and improved application performance.

The GPU is capable of delivering high floating-point performance, making it an ideal choice for scientific, engineering, and data processing applications. It also supports various programming environments, including CUDA, OpenCL, and Fortran, enabling developers to leverage the power of GPU computing for their projects.

The C870 GPU comes with a number of features designed to improve performance and reduce power consumption. These include dynamic power management, which adjusts power usage based on workload, and Boost Clock technology, which increases clock speed when thermal and power conditions allow.

The GPU measures 12.6 inches (320.1 mm) long, 6.7 inches (169.6 mm) wide, and 1.3 inches (33.6 mm) high, and requires a single 6-pin PCI Express power connector for power. It is compatible with standard PCI Express x16 slots and can be easily integrated into a server or workstation system.

With its high compute performance, support for various programming environments, and power-saving features, the NVIDIA Tesla C870 1.5GB GDDR3 GPU Computing Processor is a valuable addition to any data center or high-performance computing environment.

The NVIDIA Tesla C870 is a single-chip computing processor based on NVIDIA's CUDA architecture, designed specifically for high-performance computing (HPC), data center, and scientific applications. Here are some pros and cons of buying this GPU:

1. High Computing Power: The Tesla C870 offers significant computing power with 1,536 CUDA cores, making it an excellent choice for complex scientific simulations, machine learning, and deep learning applications.

2. Large Memory: The GPU comes with 1.5 GB of GDDR3 memory, which is ample for many HPC and scientific workloads.

3. CUDA Support: The Tesla C870 fully supports NVIDIA's CUDA programming model, allowing developers to write high-performance code for GPU acceleration.

4. Efficient Power Consumption: With a thermal design power (TDP) of just 150W, the Tesla C870 is relatively power-efficient compared to other high-performance GPUs.

5. Robust Software Ecosystem: NVIDIA provides a comprehensive software ecosystem, including the CUDA toolkit, libraries, and drivers, to help developers get started with GPU computing.

1. Limited Memory Compared to Modern GPUs: The 1.5 GB of GDDR3 memory may be limiting for some modern, data-intensive applications that require larger memory sizes.

2. Older Architecture: The Tesla C870 is based on NVIDIA's Fermi architecture, which is older than more recent architectures like Maxwell, Pascal, and Volta. This may limit its performance for certain applications.

3. Limited Compatibility with Latest Software: Some newer software packages and libraries may not be fully compatible with the older Fermi architecture, potentially requiring workarounds or updates.

In conclusion, the NVIDIA Tesla C870 offers high computing power, efficient power consumption, and a large memory capacity suitable for many HPC and scientific applications. However, its older architecture and limited memory capacity compared to modern GPUs may limit its performance and compatibility with some applications.

If you are looking for a GPU for high-performance computing, data center, or scientific applications and have a budget that fits the Tesla C870's price point, this GPU could be a good option. However, if you require a larger memory capacity or the latest features offered by newer architectures, you may want to consider other options, such as the NVIDIA Tesla V100 or A100.

Details:

These are pre-owned devices in excellent condition, the fully functional and ready to use. This listing is for everything shown in the photos.

part #: 690203570501300 prices

• $5.00-$72.79

specifications serversappy:

• brand: Nvidia
• part type: Processor
• manufacturer part number: 690-20357-0501-300

seller serversappy:

• city: Portland, Oregon
• # reviews: 2648
• rating: 100.0%

offer serversappy:

• quantity: 1
• started: April 15, 2025
• sold: 0
• best offers: True
• options: Ship-to-home
• availability: In Stock

general serversappy:

• Enterprise Networking, Servers > Server Components > Other Ent Server Components
• condition: Used

returns serversappy:

• policy: Returns Accepted
• time: 30 Days
• method: Money back
• paid by: Seller

payments serversappy:

• wallet: Apple-pay
• other
• credit card: Mastercard

shipping serversappy:

• transit: 4-9 Days
• service: Economy
• class: Economy
• cost: $0.00
• type: Fixed

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