Nvidia launches AI Enterprise in general…

Nvidia launches AI Enterprise in general availability

Nvidia launches AI Enterprise in general…

Nvidia today announced the general availability of AI Enterprise, a software suite of tools and frameworks that enable companies running VMware vSphere to virtualize AI workloads on Nvidia-certified servers.


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NVIDIA Enterprise AI, Unleashing AI for Everyone

Today NVIDIA has launched its brand new enterprise solution: NVIDIA Enterprise AI

NVIDIA AI Enterprise software suite is an end-to-end cloud-native suite of AI tools and frameworks, optimized and exclusively certified by NVIDIA to run on VMware vSphere. This includes frameworks that are broadly applicable and used across vertical industries such as manufacturing, logistics, financial services, retail, and healthcare. For example, it includes:

  • TensorFlow and PyTorch for machine learning
  • NVIDIA Tensor RT, for GPU optimized deep learning inference and NVIDIA Triton Inference Server to deploy trained AI models at scale
  • RAPIDS, for end-to-end data science and analytics pipelines

This unique combination of the NVIDIA AI Enterprise software suite with VMware vSphere is the next step in delivering a powerful AI-Ready Enterprise Platform.

Nvidia Certified Servers including GPUs and optional SmartNICs

Scale without compromise: With NVIDIA Virtual GPUs (vGPUs) enabling both time-sliced sharing as well as new multi-instance GPU (MIG) hardware-level spatial partitioning, customers have multiple options in how they can share valuable GPU resources across more data scientists and increase GPU utilization as they scale AI workloads in the enterprise.

vSphere DRS automatically places workloads across AI infrastructure at scale for optimal consumption, and vSphere vMotion provides live migration to simplify infrastructure maintenance such as consolidation, expansion, or upgrades.

Choose your favorite system options

NVIDIA datacenter and edge portfolio, a GPU for every possible workload.

From T4 to A100, choose the GPU that fits your workload

Nvidia Networking portfolio for Enterprise AI

Need high performance networking? No problem!

Multi Instance GPU (MIG) is especially useful for AI Inference. Fully isolated and secure instances at the hardware level with dedicated high-bandwidth memory, cache, and compute cores.

AI workloads come in all sizes with a wide variety of data requirements. Some process images, like live traffic reporting systems or online shopping recommender systems. Others are text-based, like a customer service support system powered by conversational AI. Everything is possible with this very cool new solution from NVIDIA and VMware. I really love it

Machine Learning Infrastructure from a vSphere…

Machine Learning Infrastructure from a vSphere Infrastructure Perspective

Machine Learning Infrastructure from a vSphere…

For the last 18 months, I’ve been focusing on machine learning, especially how customers can successfully deploy machine learning infrastructure on a vSphere infrastructure. This space is exciting as it has so many great angles to explore. Besides the model training, a lot of stuff happens […]


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Announcing the Project Monterey Early Access…

Announcing the Project Monterey Early Access Program

Announcing the Project Monterey Early Access…

Last year at VMworld 2020 we announced Project Monterey, the next step in the evolution of VMware Cloud Foundation to meet the needs of next generation of applications. Project Monterey leverages the power of dynamic composability of hardware accelerators to improve the overall data center […]


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vSphere 7 Update 2 vGPU Operations Guide

vSphere 7 Update 2 vGPU Operations Guide

vSphere 7 Update 2 vGPU Operations Guide

This operations guide demonstrates the prerequisites and procedures for conducting multiple Day-2 operational jobs including upgrading a VMware vSphere® Cluster with running VMs that are configured with one or more vGPUs, scaling up and down the GPU resources for the Machine Learning workload […]


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Virtualizing GPUs Eases the Path to Mainstream AI

Virtualizing GPUs Eases the Path to Mainstream AI

Virtualizing GPUs Eases the Path to Mainstream AI

Co-authored with Phil Hummel, Distinguished Member Technical Staff, Dell Technologies Data is in the driver’s seat The realization that “Data is King” is driving businesses to evolve their capability to tap into their unique sets of data. The potential for high-value business outcomes made […]


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Sizing Guidance for AI/ML in VMware Environments

Sizing Guidance for AI/ML in VMware Environments

Sizing Guidance for AI/ML in VMware Environments

Sizing guidance for vSphere systems running machine learning workloads. Recommendations for CPUs, GPUs, memory, storage, networking, and VM configuration. Based on a bottoms-up approach looking at some representative maching learning applications.


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1. Nvidia TechUpdate @ComputacenterDE

What comes first in your mind when thinking about Nvidia? Graphics and gaming, right?

That is only one small part of the amazing portfolio. They have so much more to offer. Nvidia is an AI company!

Want to learn more? Want real Deep-Dive session and technical discussions? And all of that in german!

Register now for ComputacenterDE´s 1. Nvidia TechUpdate. We are talking technically the entire day about one of our favorite partners: NVIDIA

Here is the agenda for the day:

Nvidia Overview / technical portfolio

Nvidia vGPU technology, use cases and live-demo

Nvidia AI/ML/DL deep dive with a mind-blowing demo of our DGX-A100

Nvidia and NetApp partnering for advanced storage needs

Nvidia Networking (Mellanox) portfolio, feature sets and hands-on demo

Wrap-Up of the day

Date and location:

June 28th 2021

July 2nd 2021

Online Microsoft Teams session, the attendee link will be send via email after registration

Register here to attend the event: Link

Space is limited……

Love to see you there

Modern Data Strategies: Using AI/ML to Fight…

Modern Data Strategies: Using AI/ML to Fight Banking Fraud

Modern Data Strategies: Using AI/ML to Fight…

Tweet Risk has always been top of mind for financial services leaders. What’s different today is their urgency to combat an increasing number of cybercrimes at once. Especially the uptick in fraud. No sector has been more regularly targeted during the pandemic than the financial sector, which is why I recommend reading the “Modern Bank Heist” report detailing how cybercriminals are evolving. Financial … Continued The post Modern Data Strategies: Using AI/ML to Fight Banking Fraud appeared…Read More


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Machine Learning Model-Development Lifecycle

Machine Learning Model-Development Lifecycle

Machine Learning Model-Development Lifecycle

Analogous to the role of the software-development lifecycle (SDLC), the machine learning model-development lifecycle (MDLC) guides the activities of ML model development from inception through retirement. In this article, we outline the key phases of the MDLC — including data ingestion, […]


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AI/ML for Enterprise: Part 1 (Performance,…

AI/ML for Enterprise: Part 1 (Performance, Scale and Multi-Tasking)

AI/ML for Enterprise: Part 1 (Performance,…

Machine Learning is Out There….Now! In a recent post I talked about the exciting new topics … The post AI/ML for Enterprise: Part 1 (Performance, Scale and Multi-Tasking) appeared first on VMware Cloud Community.


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VMware Project Monterey – First Impressions

VMware Project Monterey – First Impressions

VMware Project Monterey – First Impressions

VMware has announced Project Monterey, a hardware offload technology similar to AWS Nitro. The offering uses ESXi on ARM, running on SmartNICs from Mellanox and other partners. Are we entering a new era of offloaded computing, or does this solution simply create more complexity?


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Three Approaches to Machine Learning

Three Approaches to Machine Learning

Three Approaches to Machine Learning

At VMware, we view machine learning (ML) as a transformative technology — both for our customers and within VMware itself. Because of its import and its enormous potential, we created a Machine Learning Program Office within the Office of the CTO to coordinate and drive ML-related activities […]


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VMware Partners with NVIDIA to Enable GPU…

VMware Partners with NVIDIA to Enable GPU Acceleration in Near-Real-Time RAN Intelligent Controllers

VMware Partners with NVIDIA to Enable GPU…

Co-Authored by VMware and Nvidia Partnership Will Enable AI and Deep Learning Approaches to Optimize Spectral Efficiency and Network Slicing The time to discover COVID-19 vaccine is a testament to the pace of innovation in the healthcare industry. Pace of innovation can be directly linked to the thriving ecosystem of innovators and the very large […] The post VMware Partners with NVIDIA to Enable GPU Acceleration in Near-Real-Time RAN Intelligent Controllers appeared first on VMware Telco…Read More


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Industry Standard AI infrastructure powered by…

Industry Standard AI infrastructure powered by HPE, VMware, and NVIDIA

Industry Standard AI infrastructure powered by…

Historically, Artificial Intelligence (AI) platforms were used primarily by progressive companies with the ability to invest extensively in complex systems to garner an advantage in their respective markets. The financial services and telecommunications industries who consume and analyze vast amounts of data were early adopters in AI-Machine Learning (ML) primarily because of their previous development … Continued The post Industry Standard AI infrastructure powered by HPE, VMware, and NVIDIA…Read More


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