Liberati dal sovraccarico e dalle limitazioni dell’infrastruttura locale. Sfrutta risorse illimitate per ottenere scalabilità per i processi HPC (High Performance Computing), per analizzare dati su vasta scala, eseguire simulazioni e modelli finanziari e sperimentare riducendo il tempo di immissione sul mercato.
18. Specialized Compute Fleet
Virtual Machines – HPC
FPGA Microservices –
AI/Edge
IB Connected
CPU/GPU/Storage
available in cloud
NC2 – Advanced Sim (P100-X)
ND1 – AI Inferencing (P40)
ND2* – AI Training (V100/V100
SXM)
H N
A D F G
L
19. No-compromise CPU and GPU based resources
• Up to 16 cores, 3.2 GHz E5-2667 V3
Haswell processor
• Up to 224 GB DDR4 memory, 14GB per
core
• FDR InfiniBand @ 56 Gbps, 2.6
microsecond latency
• 2 TB of local SSD
• Up to 4 NVIDIA Tesla K80 GPUs
• Up to 24 cores
• Up to 224 GiB memory
• Up to 1440 GiB of local SSD
• FDR InfiniBand
• Up to 4 NVIDIA Tesla M60 GPUs
• Up to 24 cores
• Up to 224 GiB memory
• Up to 1440 GiB of local SSD
• Up to 4 NVIDIA Pascal P40 GPUs
• Up to 24 cores
• Up to 448 GiB memory
• Up to 3 TB of local SSD
• FDR InfiniBand
• Up to 4 NVIDIA Pascal P100 GPUs
• Up to 24 cores
• Up to 448 GiB memory
• Up to 3 TB of local SSD
• FDR InfiniBand
• Up to 4 NVIDIA Volta V100 GPUs
• Up to 24 cores
• Up to 448 GiB memory
• Up to 3 TB of local SSD
• FDR InfiniBand
HPC VMs on Azure
• Up to 44 cores, Intel Xeon Platinum
processor
• Up to 352 GB DDR4 memory, 8GB per
core
• EDR InfiniBand @ 100 Gbps
• 700 GB NVMe
• Up to 60 cores, AMD EPYC processor
• Up to 240 GB DDR4 memory, 4GB per
core
• EDR InfiniBand @ 100 Gbps
• 700 GB NVMe
• Up to 4 NVIDIA Tesla M60 GPUs
• Up to 24 cores
• Up to 448 GiB memory
• Up to 2,948 GiB of local SSD
H-Series:
Most powerful
CPU virtual
machines with
optional RDMA
N-Series:
GPU virtual machines
specialized for
graphic-intensive
workloads
20. VM Scale Sets
Deploy & manage groups of identical
VMs at very large scale
Scale multiple VM sets utilizing
different VM types
Automatically scale by policy
without pre-provisioning
Enjoy steep discounting with low
priority VMs
Simple ways to scale up your environment
23. GPUs enable End to End Workflows in the Cloud
Storage & Shared Workspace
CONSUME
WorkstationsCompute
Design & Create
CREATE
VM
GPU
Satellite officeDesign review
Post-Processing
3D Print / Prototype Main office
On the road
Simulate & Render
24. • Excellent for accelerating machine learning and HPC workloads
• Volta SXM GPU instances – 8X NVIDIA V100 GPUs interconnected with NVLink mesh
• Tensor Core technology to deliver over 100 TFLOPS of deep learning performance
• Skylake based processor with premium storage support (SSD backed)
• Specs:
• 640 NVIDIA Tensor Core
• FP64 - 7.8 TFLOPS of double precision floating point performance
• FP32 – 15.7 TFLOPS of single precision performance
• GPU Memory 16 GB
• 300 GB/s GPU interconnect through NVLink
ND v2 – Volta Generation GPU Compute
ND40s_v3
Cores 40 cores
GPU 8 x V100 SXM
Memory 768 GB
Local Disk ~1.3 TB SSD
Network Azure Network + NVLink GPU interconnect
http://aka.ms/AzureNDv2GPUs
25. • Get faster results for the your graphic intensive
2D and 3D applications with visualization
optimized GPU instances featuring NVIDIA Tesla
M60 GPUs
• Broadwell based CPU processor with doubled
memory from previous generation (up to 448 GB)
• Premium storage support (SSD backed)
• Grid license included with each GPU instance
• Specs:
• 2048 NVIDIA CUDA cores per GPU
• 36 H.264 1080p30 streams
• GPU Memory 8 GB/GPU
NV v2 – Updated GPU Visualization Platform
NV6s_v2 NV12s_v2 NV24s_v2
Cores 6 12 24
GPU 1 x M60 2 x M60 4 x M60
Memory 112 GB 224 GB 448 GB
Local Disk ~700 GB SSD ~1.4 TB SSD ~3 TB SSD
Network Azure Network Azure Network Azure Network
GRID Licenses 1 2 4
http://aka.ms/AzureNVv2GPUs
28. A dedicated supercomputer on
your virtual network
Innovate faster to solve your
toughest challenges
Access to advanced cloud
solutions and AI
Bring your simulation data and
services closer together
Simplify the management of
your infrastructure
Cray in Azure
30. Microsoft Azure Data Center
Customer’s Virtual Network
OFFERINGOFFERING
Dedicated XC or CS series with attached ClusterStor
storage systems customized for each customer and
installed in Microsoft owned data center, on the
customer’s virtual network. Allows for capacity
expansion without facilities management. Long term
commitment required.
Seamless connectivity to Azure Data Center network
and all Azure services
Cray provides sys admin, monitoring, maintenance &
support via Cray’s (or Customer’s) Virtual Network on
Azure
Microsoft provide hosting, L1 support and Azure Data
Center network to Azure services
Customers access and run M&S and AI & Advanced
Analytics workloads on XC’s an ExpressRoute
connection
Azure Services
High
Speed
Network
Microsoft
Cray
Customer
Data LakeVM’s
IOT Hub
AI & ML
Azure Support
Cray Support
Storage
CycleActive
Directory
App Services
34. Building a Hybrid Cloud – Avere vFXT for Azure
Virtual Network
Subnet
Your Azure Storage
Account
Mountpoint
Address
Range
HPC Cluster
Azure Blob
Container
Avere vFXT
Cluster
NFS 3
Storage
Endpoint
Azure
subscription
Mountpoint
Aliases
(RRDNS)
Gateway Subnet
Your Data Center
ExpressRoute
/export1
Network Attached
Storage
38. Access via APIs, CLIs, and UIs
• .NET, Java, Node.js, Python, REST
• PowerShell, x-plat Azure CLI
• Azure Portal, Batch Labs x-plat client UI
Choice of VMs
• Windows or Linux. Choose the VM
size most suited to your application
• Standard or custom images
• Automatically scale the number of
VMs to maximize utilization
• Windows pool can use AHUB
• Use low-priority VMs
Rich app management
• Get apps from blobs, Batch app
packages, package managers, custom
VM images
• Docker container images
Job scheduling
• Supports both embarrassingly parallel and
tightly-coupled MPI jobs
• Run > 1 task in parallel per node
• Detect and retry failed tasks
• Can set max execution time for jobs and tasks
• Task dependencies
• Job prep and cleanup tasks
Monitoring
• VM monitoring and auto-recover
• Metrics and logs available via Portal and API
Azure Batch Capabilities
40. Hybrid/Clustered Big Compute Lifecycle
Optimization
Provisioning
Cluster
Configuration Monitoring
Internal
Admin
Scope Configure
Run on
Cloud OptimizeUser
41. On-Premise Cluster
for simulation and
predictive analyses
Gap #1: Hybrid / Migration
Using templates to mirror the on-premise environment,
CycleCloud provisions an identical environment into
which the application can be loaded without rewriting
User Apps
& Scripts
Filling the gaps in moving a strategic HPC application environment to Azure
H
Nc
D, F
vNet
Avere vFXT
Engineer, Quant,
or Data Scientist
Line of Business Manager
Gap #2: Governance
CycleCloud solves governance issues by providing a
policy-based system for access, authorizations, cost
controls, and compliance audit reporting.
IT/Admin
Azure CycleCloud Scenario:
42. Making Users and IT Successful
LOB &
User
Inputs
IT LOB
Inputs
Internal
43. •
•
•
•
•
When to Use Azure Batch or CycleCloud
Azure Batch – Running jobsCycleCloud – Running clusters
50. ENERGY & UTILITIES
Seismic Processing
Reservoir Simulation
Digital Oil Fields
Smart Grids
Market Use-Cases and Opportunities
CYBER SECURITY
Insider Threat Detection
Continuous Monitoring
Data Loss Monitoring and
Analysis
GOV’T AND DEFENSE
National security
High energy physics
Civil engineering
Material science
FINANCIAL SERVICES
Risk and Stress Testing
Strategy Back Testing
Anti Money Laundering
KYC – Know Thy
Customer
EARTH SCIENCES
Weather Prediction
Climate change
Oceanography
Air Quality
HEALTHCARE AND
LIFE SCIENCES
Personalized medicine
Genomic sequencing
Drug Discovery
Early Disease Detection
through Advanced Imaging
MANUFACTURING
Air Flow Modeling
Crash Simulation
Predictive analytics
Autonomous vehicles
HIGHER EDUCATION
Astrophysics
Molecular Modeling
Computational chemistry
Neuro informatics
COMMUNICATIONS
AND MEDIA
Social media insights
Network intelligence
Image Classification
CONSUMER-DRIVEN
INDUSTRIES
Consumer Sentiment
Best Next Offer Analytics
Customer Churn
Supply Chain Optimization
Dynamic Pricing
Inventory Forecasting
Unleashed by data and advanced computing, AI and Machine Learning are impacting every industry
51. We are committed to the Research community
51
We want the cloud to work the way the
academic research community works.
That’s why we’re waiving the Internet
egress fee for qualified customers.
• Ensures predictability and stability
in cloud costs
• Removes a significant barrier to
cloud adoption, allowing researchers
to move data freely
• Paves the way for researchers to
accelerate the pace of the important
work they’re doing
52. Researchers in Sao Paolo,
Brazil study how carbon
dioxide, water, nitrogen, and
other nutrients cycle through
plants, animals, and
microorganisms in this
complex ecosystem using 700
sensors in 15 forest plots
https://www.microsoft.com/en-us/research/blog/cloud-
computing-helps-make-sense-of-cloud-forests/
53. Researchers at University of
Texas used predictive
modelling to calculate flood
predictions to support the
efforts of the first responders
at risk of potential flooding.
https://www.microsoft.com/en-us/research/blog/coping-
with-floodsof-water-and-data/
54. Researchers in the particle
physics group at the
University of Victoria created
a flexible cloud system for
large workloads such as high-
energy physics computing.
The system also streamlined
user workflow, sparking
collaboration in the research
community.
http://customers.microsoft.com/en-us/story/university-
victoria-azure-cloud-services-canada-education
78. Compute options for all types of apps
Intel Broadwell E5-2673 v4
Hyper-Threaded CPUs
Up to 64 vCPU’s, 256GB RAM
Intel® Xeon® Platinum 8168
processor (Skylake)
Intel Haswell E5-2673 v3
Lowest cost, flexible CPUs
Up to 8vCPUs, 32GB RAM
AMD EPYC™7551 processor
8x1.9 TB SSDs
79. Intel Xeon E5-2673 v4 (Broadwell)
Hyper-Threaded CPUs
Up to 64 vCPUs, 432GB RAM
Intel Xeon E7-8890 v3 (Haswell)
Largest VMs in Azure
Up to 128 vCPUs, 4TB RAM
Nvidia V100 SXM GPU
Infiniband networking
Deep learning, AI
‘
Compute options for all types of apps
Nvidia M60
V100 PCIe
‘
Skylake Processor
‘
80. HPC
Academia
Automotive
Oil & Gas
Ship engineering
Banking
Insurance
Energy
Defense &
Aerospace
Pharmaceutical
Food &
beverages
Healthcare
Bio Science
Oceaneering
Weather forecasting
Chemical
engineering
Engineering &
construction
Graphics &
rendering
Fluid
dynamics
Structural
simulations
Crash
Simulations
Deep
Learning
Genomics
Molecular
Modelling
Risk
Simulations
81. Most performant HPC Virtual machines
Broadest GPU portfolio
Largest compliance portfolio of any cloud
Fastest Networking with InfiniBand
and RDMA support
Largest global footprint
Per second billing for VMs
Native integration into HPC client apps