As a growing number of applications rely on parallel computing and multi-GPU systems, the multiprocessor configurations with PCIe that are standard for solving large complex problems have become prone to creating bottlenecks. To address the need for faster, more scalable multiprocessor interconnects, NVIDIA offers NVIDIA® NVLink™, the world's first high-speed GPU interconnect that provides a much faster alternative to traditional PCIe-based solutions.
As a leading provider of white box solutions for servers, storage solutions, and workstations, Thinkmate offers GPU-accelerated NVLink servers that enable massively parallel processing power for enterprise-class supercomputing servers.
NVIDIA NVLink is a near-range communications protocol that facilitates and accelerates data and control code transfers in processor systems between GPUs, or between CPUs and GPUs. NVLink technology uses the SXM2 form factor. NVIDIA NVLink technology solves interconnect issues in GPU-accelerated computing by delivering higher bandwidth, more links, and greater scalability in multi-GPU configurations.
Servers like NVIDIA Tesla® V100 GPU can support up to 6 NVLink connections to increase bandwidth to 300 GB/second, giving the NVIDIA V100 roughly 10 times the bandwidth of PCIe Gen3 interfaces. To increase the speed of deep learning training, NVIDIA servers like DGX-1 and DGX-2 use NVLink to deliver greater scalability, and NVLink supports up to 8 GPUs in a single VM with NVIDIA Virtual Compute Server software or NVIDIA Quadro Virtual Data Center Workstations.
Since 1986, Thinkmate has been providing custom-built server computers, storage solutions, and workstations to businesses, educational institutions and government agencies. Our deep commitment to cutting-edge technology and superior customer service has earned us the reputation as a premier provider of white box solutions for nearly 20 years.
A primary reason for our success: every server, storage solution, and workstation built by Thinkmate is customized 100% to the needs of our customers. With the ability to custom-build every machine to their exact specifications and needs, our customers can provision technology that delivers superior reliability and performance at extremely competitive prices.
Configuring a GPU-accelerated NVLink server is easy at Thinkmate. We offer several base model GPU servers that feature NVLink – you can choose your ideal server based on form factors, drives, and other criteria. Our world-class configurator makes it easy to customize your GPU server by simply adding or substituting components to build a machine that meets your ideal specifications. As you build your NVLink server, you'll have a choice of processors, memory, hard drives, solid-state drives, GPU accelerators, controller cards, network cards, PCIe storage cards, operating systems, and software. And every NVLink server can be paired with a 3-year warranty with advanced parts replaced.
Thinkmate offers several NVLink server options and a wide selection of NVIDIA GPU-accelerated servers, including the NVIDIA T4, V100 and P100, as well as TITAN X server and GeForce RTX 2080 TI server options. These devices feature massively parallel processing power and unrivaled flexibility with up to four GPUs in a 1U form factor, to deliver the performance required for the most computationally intensive applications. Our GPU-accelerated and NVLink servers feature Gold Level power supplies, energy-saving motherboards and enterprise-class server management, helping to optimize cooling for even the most demanding applications. With GPU-accelerated and NVLink servers from Thinkmate, you can accelerate your most demanding HPC, hyperscale, and enterprise data center workloads.
Sourcing NVLink SXM2 server options and GPU-accelerated devices from Thinkmate offers several key benefits.
An NVLink server is an NVIDIA GPU-accelerated server featuring NVIDIA NVLink technology.
An NVLink server solves interconnect issues and maximizes throughput in multi-GPU systems by providing higher bandwidth, more links, and improved scalability.