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Microsoft Azure’s first Azure HPC + AI Day | Azure Weblog and Updates

Welcome to our first Azure HPC + AI Day! We’re excited to host the primary occasion, which is able to quickly turn into an annual custom. Be a part of us on February 24 and 25 to listen to instantly from the Microsoft Azure group and earn factors by attending classes to get one among its sort Azure HPC + AI Day swag. Tune right into a buyer panel and learn to begin up an surroundings with our hands-on lab. It’s certain to be a good time, and we are able to’t wait to fulfill you there.

Register now for Azure HPC + AI Day.

Be a part of us from anyplace

For full entry to your entire occasion, be certain that to register for the complete expertise, the place you possibly can tune in to stay classes, watch our on-demand content material, try some extra assets, attempt to win some swag, and participate in our hands-on labs.

Can’t get to the complete occasion? Lots of our classes on February 24 may also be broadcast on LinkedIn. Watch from anyplace, and nonetheless get an opportunity to listen to what’s coming and have the chance to ask our prospects questions within the panel.

Look ahead to these classes

Day one

Begin time


9:00 – 9:30 AM PT

Azure HPC + AI keynote

9:30 – 10:00 AM PT

AI Infra Platform technique

10:00 – 10:30 AM PT

Azure HPC + AI software program technique

10:45 – 11:45 AM PT

Subject breakouts classes

12:00 – 1:00 PM PT

Buyer panel

Subject breakouts


Constructing a profitable SaaS resolution for Large Scale Actuarial Modelling: An end-to-end Azure resolution

Cloud versus on-premises concerns

The right way to onboard as a HPC accomplice

Day two

Begin time


9:00 – 9:45 AM PT

HPC Operations—Azure, one of the best place to run HPC within the cloud

10:00 AM – 12:00 PM PT

IT Operator hands-on lab utilizing on az-hop

10:00 AM – 11:30 PM PT

Journey from on-premises to cloud: Story by Ansys

12:15 – 2:15 PM PT

Engineer hands-on lab utilizing az-hop

Hear instantly from prospects

Be a part of us on February 24 at 12:00 PM PT to listen to instantly from our prospects about their experiences. Out there on each platforms, be prepared to listen to about their experiences working within the cloud, the unbelievable initiatives they’ve been engaged on, and what the longer term holds. Don’t neglect to ask questions.

Prospects current

  • Jellyfish Footage
  • Vestas
  • College of Tub
  • Kensington Mortgages
  • AMD

Time to roll up your sleeves—with assist

On February 25, get able to roll up your sleeves and work in Azure. We’ll have two hands-on labs guided by Microsoft specialists. Within the IT operator hands-on lab, you will get the possibility to know and construct from scratch an end-to-end high-performance computing (HPC) cluster in Azure with autoscaling compute nodes, an internet portal, a lustre file system, and distant visualization nodes. Later within the day within the Engineering hands-on lab, you’ll then get the chance to run a typical HPC workload and visualize the tip outcomes.

Large moments in 2021

Jellyfish Pictures-Jellyfish Footage wanted to allow safe distant entry to immense computing energy to render visible results and animation sequences. They had been in a position to make use of Azure to realize burst rendering on as much as 90,000 processor cores within the cloud, gaining a 70 p.c enhance in capability and the liberty to work from anyplace.

International chief in sustainable vitality options Vestas Wind Techniques A/S wished to optimize wind vitality manufacturing by decreasing the destructive affect of turbine wakes. Working with Microsoft Azure and minds.ai, Vestas is now capable of generate simulations to assist wind farms mitigate wake impact, generate extra wind vitality, and construct a extra sustainable and affluent vitality future.

AMD wanted extra computing energy and burst capability to simply deal with spikes in demand, optimize its personal processes, and speed up in market. Drawing on the facility and adaptability it gained with Azure HPC, AMD has eradicated weeks and even months of delay, decreasing procurement occasions and total job occasions. It’s matching and exceeding on-premises efficiency and is now getting day by day visibility into experiences.

Within the midst of COVID-19 the necessity for a strategy to get quicker take a look at outcomes, Sensyne Well being developed its MagnifEye resolution, a cell app that makes use of a tool’s digital camera to seize the LFT stick picture and browse it in tenths of seconds with a surprising 99.6 p.c accuracy fee.

Earlier launches in 2021

NDm A100 v4 collection digital machines now typically obtainable

In November, we introduced the final availability of the brand new NDm A100 v4 collection digital machines (VMs). This new collection constructed on the ND A100 v4 introduced in June and expanded Azure’s leadership-class AI supercomputing scalability within the public cloud. The brand new high-memory NDm A100 v4 for data-intensive GPU compute workloads reaffirms Microsoft’s dedication to quickly adopting and delivery the most recent scale-up and scale-out GPU accelerator applied sciences to the general public cloud.

Learn extra within the launch announcement.

Image introducing the Azure NDm A100 v4 virtual machine, now on Azure

Study extra



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