December 31, 2019
hese services will enable customers to seamlessly migrate VMware
Through this partnership, VMware Cloud on AWS customers will gain access to a new, highly scalable and secure cloud service consisting of Amazon EC2 bare metal instances to be accelerated by NVIDIA T4 GPUs and new NVIDIA Virtual Compute Server (vComputeServer) software. IT operators will be able to manage GPU-accelerated workloads within vCenter, right alongside GPU-accelerated workloads running on vSphere on-premises. Across industries, enterprises are implementing machine learning applications such as image and voice recognition, advanced financial modeling and natural language processing using neural networks that rely on NVIDIA GPUs for faster training and real-time inference.â€"Our customers are embracing the unique value of VMware Cloud on AWS to accelerate the migration and modernization of business-critical applications,†said Pat Gelsinger, CEO, VMware.Seamless, end-to-end data science and analytics pipeline: The NVIDIA T4 data center GPU supercharges mainstream servers and accelerates data science techniques using NVIDIA RAPIDSâ„¢, a collection of NVIDIA GPU acceleration libraries for data science including deep learning, machine learning and data analytics.Accelerated computing for modern applications: NVIDIA T4 GPUs feature Tensor Cores for acceleration of deep learning inference workflows.."From operational intelligence to artificial intelligence, businesses rely on GPU-accelerated computing to make fast, accurate predictions that directly impact their bottom line,†said Jensen Huang, founder and CEO, NVIDIA. "Together with VMware, we’re designing the most advanced GPU infrastructure to foster innovation across the enterprise, from virtualization, to hybrid cloud, to VMware39;s new Bitfusion data center disaggregation. When these are combined with vComputeServer software for GPU virtualization businesses have the flexibility to run GPU-accelerated workloads like AI, machine learning and data analytics in virtualization environments for improved security, utilization and manageability.
These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud. "Through new innovations driven by partnerships we have with industry leaders such as NVIDIA and AWS, we will bring best-in-class GPU acceleration services for the most intense data-driven workloads and modern applications across the hybrid cloud.Elastic AWS infrastructure: With the ability to automatically scale VMware Cloud on AWS clusters accelerated by NVIDIA T4, administrators will be able to grow or shrink available training environments depending on the needs of their data scientists.Through this partnership, VMware Cloud on AWS customers will gain access to a new, highly scalable and secure cloud service. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications. Additionally, VMware recently acquired Bitfusion, which enables VMware to make GPU capabilities efficiently available for AI and machine learning workloads in the enterprise.
NVIDIA and VMware today announced their intent to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. Enterprises are rapidly adopting AI(1) and implementing new AI strategies that require powerful computers to create predictive models from petabytes of corporate data. Benefits will include:Seamless portability: Customers will be able to move workloads powered by NVIDIA vComputeServer software and GPUs with a single click of a button and no downtime using VMware HCX.
This will give customers more choice and flexibility to execute training and inference in the cloud or on-premises.Consistent Hybrid Cloud Infrastructure and Operations: With VMware Cloud on AWS, organizations can establish consistent infrastructure and consistent operations across the hybrid cloud, leveraging VMware industry-standard vSphere, vSAN and NSX as a foundation for modernizing business-critical applications.â€Benefits of VMware Cloud on AWS with NVIDIA GPU for AI, ML and Data AnalyticsOnce available businesses will be able to leverage an enterprise-grade hybrid cloud platform to accelerate application modernization.Increasingly businesses are applying artificial intelligence (AI) technologies to differentiate and advance their processes and offerings.
They will be able to unify deployment, migration and operations across a consistent VMware infrastructure from data center to the AWS cloud in support of most compute-intensive workloads, including AI, machine learning and data analyticsThrough this partnership, VMware Cloud on AWS customers will gain access to a
new, highly scalable and secure cloud service consisting of Amazon EC2 bare
metal instances to be accelerated by NVIDIA T4 GPUs and new NVIDIA Virtual
Compute Server (vComputeServer) software. IT operators will be able to manage
GPU-accelerated workloads within vCenter, right alongside GPU-accelerated
workloads running on vSphere on-premises. Across industries, enterprises are
implementing machine learning applications such as image and voice recognition,
advanced financial modeling and natural language processing using neural
networks that rely on NVIDIA GPUs for faster training and real-time
inference.â€
Our customers are embracing the unique value of VMware Cloud on AWS
to accelerate the migration and modernization of business-critical
applications,†said Pat Gelsinger, CEO, VMware.Seamless, end-to-end data science
and analytics pipeline: The NVIDIA T4 data center GPU supercharges mainstream
servers and accelerates data science techniques using NVIDIA RAPIDSâ„¢, a
collection of NVIDIA GPU acceleration libraries for data science including deep
learning, machine learning and data analytics.Accelerated computing for modern
applications: NVIDIA T4 GPUs feature Tensor Cores for acceleration of deep
learning inference workflows.."From operational intelligence to artificial
intelligence, businesses rely on GPU-accelerated computing to make fast,
accurate predictions that directly impact their bottom line,†said Jensen Huang,
founder and CEO, NVIDIA.
Together with VMware, we’re designing the most
advanced GPU infrastructure to foster innovation across the enterprise, from
virtualization, to hybrid cloud, to VMware&China packing machines Factory39;s
new Bitfusion data center disaggregation. When these are combined with
vComputeServer software for GPU virtualization businesses have the flexibility
to run GPU-accelerated workloads like AI, machine learning and data analytics in
virtualization environments for improved security, utilization and
manageability. These services will enable customers to seamlessly migrate VMware
vSphere-based applications and containers to the cloud.
Through new innovations
driven by partnerships we have with industry leaders such as NVIDIA and AWS, we
will bring best-in-class GPU acceleration services for the most intense
data-driven workloads and modern applications across the hybrid cloud.Elastic
AWS infrastructure: With the ability to automatically scale VMware Cloud on AWS
clusters accelerated by NVIDIA T4, administrators will be able to grow or shrink
available training environments depending on the needs of their data
scientists.Through this partnership, VMware Cloud on AWS customers will gain
access to a new, highly scalable and secure cloud service. These services will
enable customers to seamlessly migrate VMware vSphere-based applications and
containers to the cloud, unchanged, where they can be modernized to take
advantage of high-performance computing, machine learning, data analytics and
video processing applications. Additionally, VMware recently acquired Bitfusion,
which enables VMware to make GPU capabilities efficiently available for AI and
machine learning workloads in the enterprise.
NVIDIA and VMware today
announced their intent to deliver accelerated GPU services for VMware Cloud on
AWS to power modern enterprise applications, including AI, machine learning and
data analytics workflows. Enterprises are rapidly adopting AI(1) and
implementing new AI strategies that require powerful computers to create
predictive models from petabytes of corporate data. Benefits will
include:Seamless portability: Customers will be able to move workloads powered
by NVIDIA vComputeServer software and GPUs with a single click of a button and
no downtime using VMware HCX. This will give customers more choice and
flexibility to execute training and inference in the cloud or
on-premises.
Consistent Hybrid Cloud Infrastructure and Operations: With VMware
Cloud on AWS, organizations can establish consistent infrastructure and
consistent operations across the hybrid cloud, leveraging VMware
industry-standard vSphere, vSAN and NSX as a foundation for modernizing
business-critical applications.â€Benefits of VMware Cloud on AWS with NVIDIA GPU
for AI, ML and Data AnalyticsOnce available businesses will be able to leverage
an enterprise-grade hybrid cloud platform to accelerate application
modernization.Increasingly businesses are applying artificial intelligence (AI)
technologies to differentiate and advance their processes and offerings. They
will be able to unify deployment, migration and operations across a consistent
VMware infrastructure from data center to the AWS cloud in support of most
compute-intensive workloads, including AI, machine learning and data analytics
Posted by: packagingmachinery at
02:28 AM
| No Comments
| Add Comment
Post contains 1319 words, total size 10 kb.
19kb generated in CPU 0.009, elapsed 0.0492 seconds.
33 queries taking 0.042 seconds, 46 records returned.
Powered by Minx 1.1.6c-pink.
33 queries taking 0.042 seconds, 46 records returned.
Powered by Minx 1.1.6c-pink.
