Welcome to our first Azure HPC + AI Day! We’re excited to host the first event, which will soon become an annual tradition. Join us on February 24 and 25 to hear directly from the Microsoft Azure team and earn points by attending sessions to get Azure HPC + AI Day swag. Tune into a customer panel and learn how to start up an environment with our hands-on lab. It’s bound to be a great time, and we can’t wait to meet you there.
Register now for Azure HPC + AI Day.
Join us from anywhere
For full access to the entire event, make sure to register for the full experience, where you can experience live sessions, check out some additional resources, win swag, and take part in our hands-on labs.
Can’t get to the full event? Our entire first day will also be broadcast on LinkedIn. Watch from anywhere, and still get a chance to hear what’s coming and ask our customers questions in the panel.
Look forward to these sessions
Day one
|
Start time |
Title |
|
9:00 AM PT |
Azure HPC + AI keynote |
|
9:30 AM PT |
AI Infra Platform strategy |
|
10:00 AM PT |
Azure HPC + AI software strategy |
|
10:45 AM PT |
Cloud versus on-premises considerations |
|
11:30 AM PT |
How to onboard as an HPC partner |
|
12:00 PM PT |
Customer panel |
Day two
|
Start time |
Title |
|
9:00 – 9:45 AM PT |
HPC Operations—Azure, the best place to run HPC in the cloud |
|
10:00 AM – 12:00 PM PT |
IT Operator hands-on lab using 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 using az-hop |
Hear directly from customers
Join us on February 24 at 12:00 PM PT to hear directly from our customers about their experiences. Available on both platforms, be ready to hear about their experiences working in the cloud, the incredible projects they’ve been working on, and what the future holds. Don’t forget to ask questions.
Time to roll up your sleeves—with help
On February 25, get ready to roll up your sleeves and work in Azure. We’ll have two hands-on labs guided by Microsoft experts. In the IT operator hands-on lab, you’ll get the chance to understand and build from scratch an end-to-end high-performance computing (HPC) cluster in Azure with autoscaling compute nodes, a web portal, a lustre file system, and remote visualization nodes. Later in the day in the Engineering hands-on lab, you’ll then get the opportunity to run a typical HPC workload and visualize the end results.
*Please note that all sessions are full at this time.
Big moments in 2021
Jellyfish Pictures needed to enable secure remote access to immense computing power to render visual effects and animation sequences. They were able to use Azure to gain burst rendering on up to 90,000 processor cores in the cloud, gaining a 70 percent boost in capacity and the freedom to work from anywhere.
Global leader in sustainable energy solutions Vestas Wind Systems A/S wanted to optimize wind energy production by reducing the negative impact of turbine wakes. Working with Microsoft Azure and minds.ai, Vestas is now able to generate simulations to help wind farms mitigate wake effect, generate more wind energy, and build a more sustainable and prosperous energy future.
AMD needed more computing power and burst capacity to easily handle spikes in demand, optimize its own processes, and accelerate in market. Drawing on the power and flexibility it gained with Azure HPC, AMD has eliminated weeks and even months of delay, reducing procurement times and overall job times. It’s matching and exceeding on-premises performance and is now getting daily visibility into reports.
In the midst of COVID-19 the need for a way to get faster test results, Sensyne Health developed its MagnifEye solution, a mobile app that uses a device’s camera to capture the LFT stick image and read it in tenths of seconds with a stunning 99.6 percent accuracy rate.
Previous launches in 2021
NDm A100 v4 series virtual machines now generally available
In November, we announced the general availability of the new NDm A100 v4 series virtual machines (VMs). This new series built on the ND A100 v4 announced in June and expanded Azure’s leadership-class AI supercomputing scalability in the public cloud. The new high-memory NDm A100 v4 for data-intensive GPU compute workloads reaffirms Microsoft’s commitment to rapidly adopting and shipping the latest scale-up and scale-out GPU accelerator technologies to the public cloud.
Read more in the launch announcement.
Learn more
- Register for Azure HPC + AI Day.
- Learn more about Azure HPC + AI.
- Learn more about our recently launched Digital Certification program with Cap Gemini focusing on NIVIDA GPU-powered Azure virtual machines.
- Azure HBv3 virtual machines for HPC, now up to 80 percent faster with AMD Milan-X CPUs.