NVIDIA Tesla V100 – HPC Accelerator
Overview
N VIDIA Tesla V100, built on NVIDIA’s Volta architecture, is a GPU specifically designed for AI, deep learning, and HPC (High-Performance Computing). It combines advanced tensor core technology with high-bandwidth memory (HBM2) to handle data-intensive computational tasks.
Key Features
- Tensor Cores: 640 Tensor Cores optimized for mixed-precision computing, accelerating AI model training and inference.
- Memory: 16 GB or 32 GB HBM2 memory with 900 GB/s memory bandwidth for high-speed data transfers
- NVLink Technology: Enables fast GPU-to-GPU communication at up to 300 GB/s, ideal for multi-GPU configurations.
- CUDA Compatibility: Fully supported by NVIDIA CUDA and cuDNN for optimized performance in AI and HPC workloads.
Use Cases
- AI model development, neural network training, and inference.
- High-performance data analytics, genomics, and computational chemistry.
- Scientific simulations and 3D rendering tasks.
“AI is the most powerful technology force that we have ever known. I’ve seen everything. I’ve seen the coming and going of the client-server revolution. I’ve seen the coming and going of the PC revolution. Absolutely nothing compares”
– Jensen Huang, NVIDIA CEO
V100 at NHPCC
But while DevOps as a development approach remained uncontested, the security aspects of the app development process largely remained under the shadow. There was a perception that along with the operations, app security should equally be a part of the development process. With the demand for integrating security with the product life cycle, the DevSecOps approach has emerged. This approach has already proven to play an instrumental role in reducing the security vulnerabilities of the apps. While integrating the security with the DevOps approach has always been of high demand, this requires a completely different range of processes and tools. DevOps is already known to boast of an agile development methodology.
While integrating the security with the DevOps approach has always been of high demand, this requires a completely different range of processes and tools. DevOps is already known to boast of an agile development methodology. Though the companies embracing DevSecOps development methodology are only a few in numbers, in the time to come many companies working with DevOps approach can actually embrace this new methodology for giving their projects.
