NVIDIA Tesla V100
NVIDIA Tesla V100 is a graphics processing unit (GPU) based on the NVIDIA Volta architecture. It is designed for data center and data acceleration applications including AI, high-performance computing (HPC), and big data processing. The NVIDIA Tesla V100 is the first GPU to break the 100 teraflops (TFLOPS) deep learning performance barrier.
key features
Tesla V100 is available in 16GB and 32GB configurations, delivering performance that is equivalent to 100 CPUs. The high level of performance allows data scientists, researchers and engineers to spend more time on AI development instead of memory optimization.
Power and performance
V100 with its 640 tensor cores is designed for the convergence of AI and high-performance computing (HPC). A single server equipped with V100 GPUs can replace hundreds of servers with central processing units (CPUs) for traditional workloads.
Physical dimensions
NVIDIA Tesla V100 is designed to fit into the high-density servers typical of today’s data centers. The exact dimensions of the Tesla V100 vary depending on the specific model. For example, the SXM2 Tesla V100 with NVLink connectivity has a more compact form factor than PCIe.
Connectivity options
The Tesla V100 does not have traditional display outputs because it is not designed to connect directly to display devices.
The Tesla V100 does not have traditional display outputs because it is not designed to connect directly to display devices.
Instead, it communicates with the rest of the system via a high-speed PCIe 3.0 x16 or NVLink connection, depending on the model. As a result, the V100 communicates quickly and efficiently with the CPU and system memory..
Tesla V100 also supports NVIDIA NVLink technology, which allows multiple GPUs to connect directly to each other for faster data exchange.
Applications of the NVIDIA Tesla V100
Scientific research. The V100 enables scientists and researchers to perform complex computations on large data sets to model and predict various phenomena in fields such as quantum chemistry, fluid dynamics, and climate modeling.
Machine Learning. Thanks to its tensor kernels, the V100 is well suited for training complex machine learning models in which large neural networks are trained on huge amounts of data.
Business Intelligence. High data rates make the V100 the optimal solution for business intelligence applications that require fast real-time processing of large amounts of data. Business Intelligence
Previous article