About future of AI & IT

1. AMALGAMATION OF
ARTIFICIAL
INTELLIGENCE AND
HYBRID CLOUD IT
SYSTEM
INTRODUCTION

2. AI & Hybrid Cloud
 The combination of hybrid cloud IT systems
andartifical intelligence (AI) and machine
learning (ML) capabilities is grabbing
mindshare across the IT industry. On their
own, each presents opportunities for
businesses to innovate and grow. But melding
these new capabilities can be challenging,
fraught with complexity, risk and uncertainty.
“the impact of generative AI on IT operations”
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3. AI & Hybrid Cloud
 The widespread curiosity around AI and ML is
breathing life into new use cases and
possibilities, yet the need to govern data,
applications and the IT systems that power
everything has many digging in their heels as
they look around for best practices.
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4. AI & Hybrid Cloud
 The need of hour is to figure out how to build
the infrastructure to support it, because
traditional compute does not account for it.
We're seeing hundreds, even thousands of
experiments across organizations. IT has to
step up and support those, often in short
order, so it's a challenge operationally.”
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5. AI & Hybrid Cloud
 Many technology companies are jumping into
the fray to help IT leaders create a strategy
and pick the right pieces needed to leverage
AI
 Nutanix released GPT-in-a-Box, a full-stack
software-defined AI-ready platform with
services aimed at simplifying or even jump-
start AI initiatives. IT teams can use it to
control their critical data, intellectual property
and build out infrastructure that meets their
security, privacy and compliance
requirements. 5

6. AI & Hybrid Cloud
 “Leveraging AI to more efficiently and
effectively help our customers is a top priority
for us but, as a regulated financial services
organisation, maintaining full control over our
data is necessary,"
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7. Is IT Infrastructure ready for AI
 “Leveraging AI to more efficiently and effectively
help our customers is a top priority for us but, as
a regulated financial services organisation,
maintaining full control over our data is
necessary,“
 As more businesses adopt new AI and ML
technologies, increasingly these capabilities will
run on hybrid cloud and hybrid multicloud IT
systems.
 “The wave of AI from an infrastructure
perspective is gonna be tremendous,” Harmail
Chatha, senior director of cloud operations at
Nutanix.
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8. Is IT Infrastructure ready for AI
 Pulling together the right AI-ready infrastructure
can accelerate AI/ML initiatives, but it must be
done with an eye on sustainability, cost
management, security and other IT governance
compliance.
 IT leaders are asking: How many GPUs
(graphics processing units) can I put in a rack,
how do I power and cool them? Those are the
chips that many rely on to run AI and ML code.
“GPUs are very power hungry and heat
generating more so than CPUs by far 8

9. Is IT Infrastructure ready for AI
 By taking the entire internet and dumping it
into ChatGPT required thousands of data
centers. As an industry standard, data centers
already consume about 1.5% of global power,
so that energy consumption will be a major
concern for companies build on AI. Especially
those companies that release Environment,
Social and Governance reports each year.
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10. Is IT Infrastructure ready for AI
 IBM considers hybrid cloud and AI to be the
most transformative technologies in the
present-day IT space. These tools can help
improve products, customer service and
business operations. All combined, these can
grow a competitive advantage.
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