Industry Support for NVIDIA vComputeServer

“Enterprises today increasingly need powerful, GPU-accelerated virtual machines to support
their compute-intensive workloads. NVIDIA vComputeServer running on Cisco HyperFlex and
UCS will enable our customers to get to the performance and flexibility needed for their deep
learning and data analytics applications.” Kaustubh Das, Vice President, Product Management
and Strategy, Computing Systems Product Group, Cisco

“Dell EMC PowerEdge servers with NVIDIA vComputeServer greatly simplify GPU virtualization
for analytics, AI and HPC workloads. This combination can reduce IT expenses while boosting
efficiency and agility, and it’s available with the ease of Dell Technologies’ world-class
infrastructure solutions, expertise and financing.” Rajesh Pohani, Vice President of Product
Management, Server & Infrastructure Systems, Dell EMC

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“Our customers are increasingly looking for ways to accelerate their AI development. Deploying
NVIDIA vComputeServer on Lenovo ThinkSystem servers capitalizes on the power of scale out
to drive AI deployments faster and more economically. We are excited about its potential to
fast-track AI for our customers, and speed their efforts in solving humanity’s greatest
challenges.” Scott Tease, Executive Director for HPC and AI, Lenovo Data Center Group

“Increasingly, enterprises are turning to AI-augmented work and decision science to stay
competitive and to bolster ROI. However, traditional CPU and networking technologies are no
longer sufficient to support the size and complexity of machine learning workloads. vSphere’s
Advanced Paravirtualization over Mellanox RDMA (PVRDMA) Networking Technology and
NVIDIA vCompute Server powered by the T4 has been proven to significantly accelerate
modern applications in virtualized environments enabling the most efficient VDI deployments.”
— Motti Beck, Sr. Director Enterprise Market Development, Mellanox Technologies

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“As AI and data-driven computing are added as integral components of modern IT
environments, these workloads greatly benefit from accelerated computing power from GPUs.
As part of our commitment to customer choice in hybrid cloud deployments, our customers are
able to deploy Red Hat OpenShift on virtual machines running on vSphere and, with
vComputeServer and NGC containers, our customers will be able to add GPUs to these virtual
environments to run even more complex workflows.” Julio Tapia, Director of Cloud Platforms
Partner Ecosystem, Red Hat

“Increasingly, businesses are relying on GPUs to accelerate HPC and deep learning workloads.
NVIDIA’s new vComputeServer software empowers data scientists to better streamline access
for their GPUs. Leveraging Supermicro GPU systems and vComputeServer, data center
administrators can deliver powerful performance users expect to run almost any workflow on a
virtual machine.” Jim Sangster, Senior Director, Product Marketing, Supermicro

“Today’s enterprises are running compute-intensive AI and data analytics workloads, and the
need for hardware acceleration is becoming more prominent. With our NVIDIA partnership and
our recent acquisition of Bitfusion, we are delivering the next generation of efficient and
performant AI infrastructure. NVIDIA vComputeServer and NGC support for vSphere allow our
customers to easily handle AI and HPC apps with the best performance possible on a virtual
machine and we extend this to remote servers for GPU pooling with BitFusion.”  Krish
Prasad, SVP and General Manager, Cloud Platform Business, VMware

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