Hello, this is Munara from Intel.
AI is being integrated into every aspect
of our lives,
from our homes to workplaces.
As AI applications
become more widespread,
the demand
for high performance
hardware and software
that can support these applications
will only increase,
making Intel a valuable contributor.
Did you know that Intel offers
a wide range of software
tools and solutions
to simplify developing
and deploying
AI applications for developers?
Offerings range from lower
level framework
and library implementations
to higher user level
resources like developer
catalogs, articles and reference models.
This video briefly covers and gives you
a general idea about each component.
You can get more detailed information
by following the links in the description
or watching related videos in our series.
Let's start with the offerings
from libraries and frameworks level.
Intel offers various optimizations
and tools
for AI developers and data scientists.
These drop in accelerations are provided
for all steps of the data science
pipeline ranging from tools
such as Intel Distribution of Modin,
which distributes
PANDAS data
frames in single line code
change Intel Optimization
for XGBoost
and Intel Optimization for TensorFlow,
for increased training
and inference accelerations
out of the box.
And Intel Optimization for scikit-learn
which increases the performance
of scikit-learn models
with a few lines of code added.
Underneath,
these optimizations are powered
by oneAPI libraries, such as oneDNN,
oneDAL, oneCCL and oneMKL.
Users do not need to interact
with these packages
directly to see scale
and performance gains.
At the toolkits and blueprints level,
we provide various tools like BigDL
for big data processing, open OpenVINO
for high performance inference,
SigOpt for model tuning, Intel
Neural Compressor for model compression,
and AI Kit that bundles all the optimized
libraries and frameworks in one package.
We provide AI reference
kit implementations and workflows
for various AI use cases.
These implementations provide
a starting point
for developers looking to build
AI applications
using Intel's hardware and software.
We have tools for specific domains
like an NLP, recommender systems,
explainable AI and transfer learning.
And lastly, Converg.io
for streamlining
ML processes
and operations on a multi-cloud platform.
On the top level of our solution stack,
we have AI resources providing
extensive documentation
and resources for developers
to get started using our AI software.
In addition, we have developer catalogs,
articles, tutorials, AI reference models
and performance guides.
We also provide hardware,
resources through the Intel
Developer Cloud platform
that provides access
to the latest Intel architecture.
Intel AI software is already
preinstalled on Developer Cloud systems,
so developers can easily test
their applications and models
using the latest versions of our
AI software on the latest Intel hardware.
You can learn about this topic and more
by following the links
in the description.
If you like this video,
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Software YouTube Channel.