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With industry-leading benchmarks
for our all-flash systems, you’re
guaranteed to get all the extreme
low latency performance you need
for your AI/ML environment.
Connecting big data and deep
learning engines to where your
data resides with the NetApp
In-Place Analytics Module.
A foundation of efficiency in our
core platforms and our data movers
such as ONTAP SnapMirror can
enable up to 10:1 data reduction as
your dataset sizes continue to grow.
To bring data together for AI/ML,
we enable organizations to build a
Data Fabric for the hybrid cloud
that seamlessly connects resources
and allows data management,
movement and protection across
internal and external cloud services.
Scale to 20PB and beyond in a
single namespace, to support the
largest of learning data sets. More
data typically means better models,
ONTAP FlexGroup volumes
deliver the scale to support this.
Non-disruptively integrate newer
and faster flash technologies, such
as NVMe, NVMeoF and storage-class
memory (SCM) to continuously im-
prove performance without a forklift
upgrade.
ML/DL data must be protected,
ONTAP data management software
delivers enterprise-grade continuous
data protection with solutions
providing near-zero recovery time
and point objectives.
ONTAP FlexClone instantly creates
dev/test environments for AI/ML,
enabling you to rapidly improve
model accuracy and improve
development velocity.
ONTAP FabricPool, an element of
our Data Fabric enables data to
flow seamlessly from high perfor-
mance to archive, enabling you to
establish the most cost-effective
data platform.
DATA LIFECYCLE
SECURITY AND PRIVACY
NetApp Private Storage (NPS)
enables you to access the vast
compute resources in the Cloud
whilst retaining control of your data
and ensuring compliance, security
and privacy requirements.
DATA EFFICIENCY
DATA FABRIC
MASSIVE NON-DISRUPTIVE
SCALABILITY
DATA PROTECTION
CONTINUOUS INTEGRATION
AND DEVELOPMENT
FUTURE PROOF
IN-PLACE ANALYTICS
EXTREME PERFORMANCE
10GOOD
REASONS
NetApp for
Machine
Learning

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10 Good Reasons: NetApp for Machine Learning

  • 1. www.netapp.com 01 03 04 05 06 07 08 09 10 02 3 2 1 With industry-leading benchmarks for our all-flash systems, you’re guaranteed to get all the extreme low latency performance you need for your AI/ML environment. Connecting big data and deep learning engines to where your data resides with the NetApp In-Place Analytics Module. A foundation of efficiency in our core platforms and our data movers such as ONTAP SnapMirror can enable up to 10:1 data reduction as your dataset sizes continue to grow. To bring data together for AI/ML, we enable organizations to build a Data Fabric for the hybrid cloud that seamlessly connects resources and allows data management, movement and protection across internal and external cloud services. Scale to 20PB and beyond in a single namespace, to support the largest of learning data sets. More data typically means better models, ONTAP FlexGroup volumes deliver the scale to support this. Non-disruptively integrate newer and faster flash technologies, such as NVMe, NVMeoF and storage-class memory (SCM) to continuously im- prove performance without a forklift upgrade. ML/DL data must be protected, ONTAP data management software delivers enterprise-grade continuous data protection with solutions providing near-zero recovery time and point objectives. ONTAP FlexClone instantly creates dev/test environments for AI/ML, enabling you to rapidly improve model accuracy and improve development velocity. ONTAP FabricPool, an element of our Data Fabric enables data to flow seamlessly from high perfor- mance to archive, enabling you to establish the most cost-effective data platform. DATA LIFECYCLE SECURITY AND PRIVACY NetApp Private Storage (NPS) enables you to access the vast compute resources in the Cloud whilst retaining control of your data and ensuring compliance, security and privacy requirements. DATA EFFICIENCY DATA FABRIC MASSIVE NON-DISRUPTIVE SCALABILITY DATA PROTECTION CONTINUOUS INTEGRATION AND DEVELOPMENT FUTURE PROOF IN-PLACE ANALYTICS EXTREME PERFORMANCE 10GOOD REASONS NetApp for Machine Learning