NVIDIA V100 Server GPU for Data Center
Specification Table
| Feature |
Specification |
| GPU Architecture |
Volta |
| CUDA Cores |
5,120 |
| GPU Memory |
16 GB or 32 GB HBM2 |
| Memory Bandwidth |
900 GB/s |
| Peak FP16 Performance |
125 TFLOPS |
| Peak FP32 Performance |
15.7 TFLOPS |
| Tensor Performance |
125 TFLOPS (Tensor Cores) |
| Base Clock |
1,053 MHz |
| Boost Clock |
1,530 MHz |
| Interface |
PCIe Gen 3, NVLink |
| TDP (Thermal Design Power) |
300W |
| Form Factor |
2-slot |
| Supported Technologies |
NVLink, Tensor Cores, Volta Architecture, Mixed Precision Computing |
Description of NVIDIA V100
The
NVIDIA V100 Tensor Core GPU, based on the Volta architecture, is designed for deep learning, high-performance computing (HPC), and data analytics. With 5,120 CUDA cores and the revolutionary Tensor Cores, it delivers unparalleled performance, particularly in AI and deep learning workloads. The GPU is equipped with 16 GB or 32 GB of high-bandwidth HBM2 memory, allowing for exceptional data throughput, supporting memory bandwidths of up to 900 GB/s.
One of the key strengths of the V100 GPU lies in its ability to deliver remarkable tensor performance, reaching up to 125 TFLOPS in FP16 calculations, which is ideal for matrix multiplications common in AI training. It also supports mixed-precision computing, providing optimal performance for a variety of workloads. For users looking to scale up performance across multiple GPUs, the V100 supports NVLink, offering higher bandwidth and scalability compared to traditional PCIe connections.
With its focus on optimizing workloads like AI training, simulation, and big data analytics, the V100 is built to handle the most demanding tasks in the modern data center, providing accelerated computing power that is critical for researchers, scientists, and engineers.
Key Features:
- Volta Architecture: The V100 is built on NVIDIA's Volta architecture, offering significant improvements over previous models, especially in performance for AI and machine learning tasks.
- Tensor Cores: These cores are designed to accelerate deep learning operations, enhancing performance in training neural networks.
- 16 GB or 32 GB HBM2 Memory: It features high bandwidth memory, making it ideal for memory-intensive applications.
- NVLink: A high-bandwidth connection that allows multiple GPUs to work together more efficiently, increasing computational power.
- TensorFlow and PyTorch Optimization: The V100 supports popular AI frameworks, offering enhanced performance for deep learning tasks.
Where it Can Be Used:
- Data Centers: Ideal for scaling up AI models in enterprise-level data centers.
- AI Research: Widely used in academic and corporate research for tasks like training neural networks and running complex simulations.
- Deep Learning: Optimized for both training and inference of deep learning models.
- High-Performance Computing (HPC): Suitable for scientific simulations, weather forecasting, and other data-heavy computations.
Installation Steps:
- Ensure Proper Hardware: Make sure your server chassis has space for the V100 GPU and sufficient power and cooling.
- Install the GPU: Slot the GPU into the PCIe or NVLink port, depending on the configuration.
- Install NVIDIA Drivers: Download and install the appropriate NVIDIA driver (available from NVIDIA’s website).
- Software Setup: Install deep learning frameworks like TensorFlow, PyTorch, or others to utilize the GPU’s full potential.
- Testing: After installation, test the setup with benchmark programs to ensure proper configuration.
User Experience:
- Performance: Users report incredible speed and efficiency, particularly in AI training and deep learning tasks.
- Reliability: The V100 is known for its stability and long-term performance in high-demand environments.
- Software Ecosystem: Integration with CUDA, cuDNN, and other NVIDIA tools makes it easy for developers to leverage the hardware’s capabilities.
Why Choose NVIDIA V100 Server GPU for Data Center?
- Superior Performance: The V100 provides cutting-edge performance, especially in AI and machine learning workloads.
- Scalability: With NVLink and multi-GPU configurations, it can scale to meet the demands of large, complex models.
- Energy Efficiency: Compared to previous models, it offers better performance per watt, making it more efficient in high-performance environments.
- Broad Support: The V100 is supported by a wide range of AI frameworks, making it versatile for various machine learning tasks.
- Future-Proof: As AI and machine learning workloads become increasingly demanding, the V100’s hardware and software optimizations make it a long-term solution.
Buy NVIDIA V100 Server GPU for Data Center at the Best Price from Datacom BD Online
In Bangladesh, you can get NVIDIA V100 Server GPU for Data Center From
Datacom. We have a large collection of latest Server Graphics Card to purchase. Order Online Or Visit our Office to get yours at lowest price. The NVIDIA V100 GPU for Data Center comes with 1 Year warranty.
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What is the price of NVIDIA V100 Server GPU for Data Center in Bangladesh?
The estimated price of NVIDIA V100 Server GPU for Data Center in Bangladesh is 170,000৳. You can buy the NVIDIA V100 GPU for Data Center at best price from our website or visit our Office.
For the most accurate pricing, stock availability, and warranty details, we recommend contacting us before placing your order.
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