The majority of server workloads for midsize to large enterprises are now run on virtual machines (VMs). However, workloads for AI, data science, deep learning, and high-performance computing – which require GPU-accelerated servers – are the exception, as virtualization has been focused primarily on CPU-only servers. As a result, workloads requiring GPU servers are often isolated from other servers, limiting utilization and flexibility.
NVIDIA Virtual Compute Server software now enables hypervisor-based server virtualization, allowing data centers to power any compute-intensive workloads GPUs in a virtual machine. As you source the technology to run an NVIDIA Virtual Compute Server, you'll find a wide range of GPU-accelerated servers and NVIDIA processors at Thinkmate, a leading provider of custom-built machines for customers in business, education, and government.
NVIDIA Virtual Compute Server enables data centers to accelerate server virtualization using the latest NVIDIA data center GPUs. With products like NVIDIA A100 Tensor Core GPUs, NVIDIA Virtual Compute Server makes it possible for virtual machines to run the most compute-intensive workloads for artificial intelligence, deep learning and data science.
Key features of NVIDIA Virtual Compute Server include:
Thinkmate has been a world-class provider of custom server, storage, and workstation solutions for more than 25 years. With deep technical knowledge and superior customer service, we enable our customers to source the custom-configured machines they need at highly competitive prices.
We offer a broad range of GPU-optimized servers featuring NVIDIA Tesla GPUs for AI, deep learning and data science. Our GPU servers generate massively parallel processing power and unrivaled networking flexibility, offering two double-width GPUs or up to five expansion slots in a 1U to deliver performance and quality optimized for the most computationally intensive applications. Thinkmate GPU servers include features that optimize cooling for even the most demanding applications, providing the ideal technology platform for GPU supercomputing solutions. We offer NVIDIA Virtual Compute Server software on many of our machines.
Additional NVIDIA products available through Thinkmate include servers featuring Tesla V100, P100 and T4 GPUs, along with options for a Quadro RTX server. You can also build a VMware server and other virtualized products through Thinkmate.
To build and price out a GPU server with NVIDIA Virtual Compute Server software, start by selecting a base model from our collection of GPU-accelerated servers. You can select a base model based on its platform, available processors, maximum RAM, number of drives, form factor, and expansion possibilities. Then take your pick from a long list of components, adding items or swapping them out to configure your ideal machine. The price of each component is marked clearly in the configurator so you can easily compare apples to apples. You'll see a running total cost of your configured unit at the top of the page, so you can keep an eye on the price of your machine as you choose your options.
When you've completed your build, you can order it, request an official quote or submit it for review by our knowledgeable computer technicians.
When you choose an NVIDIA Virtual Compute Server from Thinkmate, you'll be impressed by the many benefits our technology offers.
NVIDIA Virtual Compute Server software enables data centers to accelerate server virtualization with the latest NVIDIA data center GPUs, running the most compute-intensive workloads on virtual machines.
NVIDIA Virtual Compute Server is designed for compute-intensive server workloads such as deep learning, AI, and data science. GRID vPC and GRID vApps are client compute products for virtual graphics and are designed for use by creative or technical professionals and knowledge workers. NVIDIA Quadro vDWS enables users to use Quadro graphics applications on any device, anywhere.