Equity Insider Commentary
VANCOUVER, BC, April 16, 2024 /PRNewswire/ -- EQUITY
INSIDER – Data centers are at the core of what's powering the
ongoing artificial intelligence (AI) boom. With almost every major
industry shifting towards AI, massive amounts of new infrastructure
will still be needed, in particular data centers. The Data Center
Equipment Market is exploding, with analysts at Straits
Research projecting it to surpass $164
billion by 2031, growing at a whopping 13.2% CAGR along the
way. According to Technavio, 38% of growth in the Data
Center Rack PDU Market growth will originate from North America, while surging data center
demand is pushing the limits of available workers. Among the
innovators helping to bring the AI revolution to life are a mix of
innovators, including Avant Technologies Inc. (OTC:AVAI),
NVIDIA Corporation (NASDAQ:NVDA) (NEO:NVDA), Intel
Corporation (NASDAQ:INTC), Advanced Micro Devices, Inc.
(NASDAQ:AMD) (NEO:AMD), and Amazon.com, Inc. (NASDAQ:AMZN)
(NEO:AMZN).
AI tech developer, Avant Technologies Inc. (OTC: AVAI)
specializes in the development of advanced AI and data center
infrastructure solutions. Recently, the company announced that
development on its next-generation, AI-driven resource allocation
system is now fully underway. This news follows Avant's
February 2024 announcement of
its decision to begin enhancing its sophisticated machine and deep
learning AI system, Avant AI™, with automated data center resource
management for its new high-density compute data center
infrastructure. The company's management team has expressed great
satisfaction with the rapid progress made since the
announcement.
This new Avant AI™ innovative initiative seeks
to harness the power of AI to improve resource use, boost
performance, and give businesses unmatched flexibility in their
data center operations.
"We are excited about the quick development being made on our
groundbreaking AI for intelligent data center management," said
Timothy Lantz, CEO of Avant.
"These latest innovations will help our customers unlock new levels
of performance and efficiency in their data center operations and
achieve success in today's digital era. We anticipate that
Avant's AI infrastructure solutions will
directly boost our clients' bottom lines and provide a significant
competitive advantage in the marketplace."
Avant AI™ analyzes data in real-time to foresee future
resource requirements, automatically assigns resources, and adjusts
to fluctuating workloads. Its multi-layered architecture maintains
data quality and reliability as it converts AI suggestions into
practical actions. Avant AI™ helps businesses by reducing
resource waste, lessening performance delays, speeding up resource
expansion, and automating resource distribution, which altogether
enhances operational efficiency.
"The demands placed on data centers are constantly evolving,"
said Danny Rittman, Chief
Information Officer of Avant. "Traditional static
provisioning and manual configuration methods struggle to keep pace
with dynamic workloads and ever-increasing resource needs.
Our AI-driven resource allocation system represents a paradigm
shift, promising to revolutionize data center management."
It's easy to witness the growth of data centers by looking at
leading chipmaker NVIDIA Corporation (NASDAQ: NVDA) (NEO:
NVDA), which has seen its Data Center business explode by more than
400% since last year to $18.4
billion in Q4 2024, as reported in its Q4 and FY 2024
results. Key to the growth has been the surging demand for
NVIDIA's H100 graphics cards that are widely
used to power generative AI apps such as
OpenAI's ChatGPT.
"Accelerated computing and generative AI have hit the tipping
point. Demand is surging worldwide across companies, industries and
nations," said Jensen Huang, founder and CEO of NVIDIA. "Our
Data Center platform is powered by increasingly diverse drivers —
demand for data processing, training and inference from large
cloud-service providers and GPU-specialized ones, as well as from
enterprise software and consumer internet companies. Vertical
industries — led by auto, financial services and healthcare — are
now at a multibillion-dollar level."
Back in mid-December 2023,
NVIDIA's competitor Intel Corporation
(NASDAQ:INTC) unveiled its own new data center chip with a
focus on AI growth. The company would go on to follow this up by
announcing Gaudi 3 availability to original equipment manufacturers
(OEMs), including with Dell Technologies, HPE,
Lenovo, and Supermicro, serving to broaden
Intel's AI data center market offerings for enterprises.
"Innovation is advancing at an unprecedented pace, all enabled
by silicon – and every company is quickly becoming an AI company,"
said Pat Gelsinger CEO of Intel. "Intel is bringing
AI everywhere across the enterprise, from the PC to the data center
to the edge. Our latest Gaudi, Xeon and Core Ultra platforms are
delivering a cohesive set of flexible solutions tailored to meet
the changing needs of our customers and partners and capitalize on
the immense opportunities ahead."
Companies are aiming to expand their GenAI projects from initial
trials to full-scale production. To achieve this, they require
accessible solutions based on powerful, cost-effective, and
energy-efficient processors, such as the Intel Gaudi 3 AI
accelerator. These solutions must also tackle challenges like
complexity, fragmentation, data security, and compliance needs.
Not to be left out, Advanced Micro Devices, Inc.
(NASDAQ: AMD) (NEO: AMD) also made adjustments back in
December 2023, by introducing new AI
and Data Center products, including its Instinct MI300X Series
accelerator to deliver robust performance for HPC and AI workloads.
The MI300X launch was seen as a move that could help the chipmaker
to better compete with Nvidia amid the AI boom. Then by
early April 2024, AMD
announced the expansion of its AMD VersalTM adaptive
system on chip (SoC) portfolio, with its newer Versal AI Edge
Series Gen 2 and Versal Prime Series Gen 2 adaptive SoCs, which
bring preprocessing, AI interference, and postprocessing together
in a single device for end-to-end acceleration of AI-driven
embedded systems.
"The demand for AI-enabled embedded applications is exploding
and driving the need for single-chip solutions for the most
efficient end-to-end acceleration within the power and area
constraints of embedded systems," said Salil Raje, senior vice president and general
manager, Adaptive and Embedded Computing Group, AMD. "Backed
by over 40 years of adaptive computing leadership, these latest
generation Versal devices bring together multiple compute engines
on a single architecture offering high compute efficiency and
performance with scalability from the low-end to high-end."
As of late March 2024, online
giant Amazon.com, Inc. (NASDAQ: AMZN) (NEO: AMZN)
appears to be going all in on AI-driven data centers, with a
$150 billion investment to
retain its cloud computing edge over competitors like
Microsoft and Google. The biggest headline grabbing
element of the giant investment is that one of the largest nuclear
power plants in the USA will
directly power new Amazon Web Services (AWS) data center. As
of the announcement, Amazon's cloud computing subsidiary was
being used by upwards of 1.45 million businesses, according to an
internal report.
"We're expanding capacity quite significantly," said
Kevin Miller, a vice president at
AWS. "I think that just gives us the ability to get closer
to customers."
The announcement came within a couple weeks of an
announcement by Amazon it would be extending its
collaboration between AWS and NVIDIA to advance
Generative AI innovation. Included in the extension, the duo plan
to integrate Elastic Fabric Adapter (EFA) for petabit-scale
networking and Amazon Elastic Compute Cloud (Amazon EC2)
UltraCluster for hyper-scale clustering.
"The deep collaboration between our two organizations goes back
more than 13 years, when together we launched the world's first GPU
cloud instance on AWS, and today we offer the widest range
of NVIDIA GPU solutions for customers," said
Adam Selipsky, CEO at AWS.
"Together, we continue to innovate to make AWS the best
place to run NVIDIA GPUs in the cloud."
Source:
https://equity-insider.com/unlocking-the-trillion-dollar-ai-market-what-investors-need-to-know/
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