NVIDIA® Tesla® V100 is the world’s most advanced data center GPU ever built to accelerate AI, HPC, and graphics. Powered by NVIDIA Volta, the latest GPU architecture, Tesla V100 offers the performance of 100 CPUs in a single GPU—enabling data scientists, researchers, and engineers to tackle challenges that were once impossible.
Tesla V100 is engineered for the convergence of AI and HPC. It offers a platform for HPC systems to excel at both computational science for scientific simulation and data science for finding insights in data. By pairing NVIDIA CUDA® cores and Tensor Cores within a unified architecture, a single server with Tesla V100 GPUs can replace hundreds of commodity CPU-only servers for both traditional HPC and AI workloads.
Experience EPYC™ Performance on Your Most Demanding Workloads.
AMD EPYC enables no-compromise 1-socket servers with up to 32 cores, 8 memory channels and 128 PCIe® 3.0 lanes enabling capabilities and performance previously available only in 2-socket architectures.
Machine Learning (ML) can provide real-time decision making, critical to business operations. EPYC provides a solid foundation for ML applications such as proactive maintenance, fraud detection, network security monitoring, real-time trading and self-driving vehicles. Whether you need an innovative one socket GPU-accelerated ML training solution or a 2 socket ML inference solution – EPYC delivers outstanding machine learning solutions.
EPYC strikes the perfect balance of cores/threads, memory, I/O bandwidth and security to deliver excellent performance for many High Performance Computing (HPC) workloads. AMD’s state-of-the-art GPUs combined with EPYC provide excellent solutions for your most demanding HPC applications.
EPYC natively supports up to 32 NVMe or SATA devices in both 1 socket and 2 socket designs, enabling streamlined Software Defined and Direct Attached Storage solutions.
EPYC can help accelerate leading Big Data and In-Memory Database applications, that require large memory sizes, high memory bandwidth and high-bandwidth I/O, to manage and analyse massive amounts of unstructured data.
All Novatech Deep Learning systems can come with Ubuntu 16.04 server LTS operating system, and the following additional platforms are available: CUDA, DIGITS, Caffe, Caffe2, CNTK, Pytorch, Tensorflow, Theano, and Torch.
If you require a Framework not listed, simply speak to our team and make them aware of your need.
We are ISO 9001:2008 certified and can manage your design, build, and configuration of compute, network, and storage solutions, specific to your needs and applications.
We have invested heavily into our in-house production facilities to ensure that all of our customer’s appropriate compliance, documentation and regulation needs are met
All of our systems are built to order to meet our customers needs, and as such pricing varies depending on requirements.
Contact our dedicated Deep Learning team today for a tailored quotation.