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Artificial Intelligence (AI) Supercomputer Market Hits New

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Artificial Intelligence (AI) Supercomputer Market

HTF MI just released the Global Artificial Intelligence (AI) Supercomputer Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2032. The marketization process is being accelerated by the market study’s segmentation by important regions. The market is currently expanding its reach.

Major Giants in Artificial Intelligence (AI) Supercomputer Market are:

NVIDIA (USA), IBM (USA), Google (USA), Microsoft (USA), Amazon AWS (USA), Huawei (China), Baidu (China), Fujitsu (Japan), Lenovo (China), Cray (USA), Intel (USA), AMD (USA), Graphcore (UK), Cerebras Systems (USA), NEC (Japan)

Request PDF Sample Copy of Report: (Including Full Toc, List of Tables & Figures, Chart) @

👉 https://www.htfmarketinsights.com/sample-report/4367485-artificial-intelligence-ai-supercomputer-market?utm_source=Vaishali_OpenPR&utm_id=Vaishali

HTF Market Intelligence projects that the global Artificial Intelligence (AI) Supercomputer market will expand at a compound annual growth rate (CAGR) of 27% from 2025 to 2032, from 10.5 Billion in 2025 to 40.0 Billion by 2032.

Our Report Covers the Following Important Topics:

By Type:

GPU-based, TPU-based, Neuromorphic, Quantum-enhanced, FPGA-based

By Application:

Scientific Research, Weather Forecasting, Drug Discovery, Autonomous Systems, Financial Modeling

Definition:

AI Supercomputers are high-performance computing systems optimized for AI workloads, such as deep learning training and inference. They feature specialized hardware like GPUs and TPUs designed for massive parallel processing. These systems accelerate AI innovation by handling huge datasets and complex models, enabling breakthroughs in science, medicine, and technology on a global scale.

Dominating Region:

North America

Fastest-Growing Region:

Asia-Pacific

Market Trends:

• Specialized hardware, Quantum computing, Energy efficiency, Edge AI, Cloud integration

Market Drivers:

• AI research demand, Hardware innovation, Cloud computing growth, Big data expansion, Government investments

Market Challenges:

• Costly infrastructure, Power consumption, Complexity, Talent shortage, Scalability

Market Opportunities:

• Scientific breakthroughs, AI democratization, Industry automation, Climate modeling, Personalized medicine

Buy Now Latest Edition of Artificial Intelligence (AI) Supercomputer Market Report 👉 https://www.htfmarketinsights.com/buy-now?format=1&report=4367485

The titled segments and sub-section of the market are illuminated below:

In-depth analysis of Artificial Intelligence (AI) Supercomputer market segments by Types: GPU-based, TPU-based, Neuromorphic, Quantum-enhanced, FPGA-based

Detailed analysis of Career &Education Counselling market segments by Applications: Scientific Research, Weather Forecasting, Drug Discovery, Autonomous Systems, Financial Modeling

Global Artificial Intelligence (AI) Supercomputer Market – Regional Analysis

• North America: United States of America (US), Canada, and Mexico.

• South & Central America: Argentina, Chile, Colombia, and Brazil.

• Middle East & Africa: Kingdom of Saudi Arabia, United Arab Emirates, Turkey, Israel, Egypt, and South Africa.

• Europe: the UK, France, Italy, Germany, Spain, Nordics, BALTIC Countries, Russia, Austria, and the Rest of Europe.

• Asia: India, China, Japan, South Korea, Taiwan, Southeast Asia (Singapore, Thailand, Malaysia, Indonesia, Philippines & Vietnam, etc.) & Rest

• Oceania: Australia & New Zealand

Artificial Intelligence (AI) Supercomputer Market Research Objectives:

– Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.

– To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).

– To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.

– To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.

– To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:

Five forces analysis-the threat of new entrants, the threat of substitutes, the threat of competition, and the bargaining power of suppliers and buyers-are carried out to better understand market circumstances.

• Political (Political policy and stability as well as trade, fiscal, and taxation policies)

• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)

• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)

• Technological (Changes in digital or mobile technology, automation, research, and development)

• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)

• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

Get customized report 👉 https://www.htfmarketinsights.com/customize/4367485-artificial-intelligence-ai-supercomputer-market?utm_source=Vaishali_OpenPR&utm_id=Vaishali

Points Covered in Table of Content of Global Artificial Intelligence (AI) Supercomputer Market:

Chapter 01 – Artificial Intelligence (AI) Supercomputer Executive Summary

Chapter 02 – Market Overview

Chapter 03 – Key Success Factors

Chapter 04 – Global Artificial Intelligence (AI) Supercomputer Market – Pricing Analysis

Chapter 05 – Global Artificial Intelligence (AI) Supercomputer Market Background or History

Chapter 06 – Global Artificial Intelligence (AI) Supercomputer Market Segmentation (e.g. Type, Application)

Chapter 07 – Key and Emerging Countries Analysis Worldwide Artificial Intelligence (AI) Supercomputer Market

Chapter 08 – Global Artificial Intelligence (AI) Supercomputer Market Structure & worth Analysis

Chapter 09 – Global Artificial Intelligence (AI) Supercomputer Market Competitive Analysis & Challenges

Chapter 10 – Assumptions and Acronyms

Chapter 11 – Artificial Intelligence (AI) Supercomputer Market Research Method Artificial Intelligence (AI) Supercomputer

Thank you for reading this post. You may also obtain report versions by area, such as North America, LATAM, Europe, Japan, Australia, or Southeast Asia, or by chapter.

Nidhi Bhawsar (PR & Marketing Manager)

HTF Market Intelligence Consulting Private Limited

Phone: +15075562445

sales@htfmarketreport.com

About Author:

HTF Market Intelligence Consulting is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.

This release was published on openPR.



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Oracle (ORCL) Stock Soars 40% on AI Boom and $455B Cloud Backlog While Going Green

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Oracle Corporation (NASDAQ: ORCL) surprised the markets today with a dramatic stock rally. Its shares jumped more than 40%, reaching record highs and placing the company near the trillion-dollar club. This sharp increase was powered by huge demand for Oracle’s cloud services, especially for artificial intelligence (AI) and big partnerships.

Wall Street focused on the financial side, but Oracle also highlighted something else: its environmental goals. The company wants to show that fast growth can go hand in hand with sustainability. By investing in both AI and green programs, Oracle is shaping an image as a modern tech leader that balances profit with responsibility.

Record-Breaking Rally: Oracle’s Biggest Jump in Decades

The jump in Oracle’s stock was its largest in more than 30 years. Investors reacted to news that Oracle signed multiple multi-billion-dollar contracts with tech giants such as OpenAI, Meta, and NVIDIA.

These contracts are tied to AI cloud services and pushed Oracle’s contract backlog to around $455 billion, a sharp rise from $130 billion just a quarter earlier.

Oracle ORCL stock Sept 2025

This backlog shows how fast demand for Oracle Cloud Infrastructure (OCI) is growing. The company responded by raising its forecast for OCI revenue. It now expects 77% growth this fiscal year, higher than its earlier estimate of 70%. The company also predicts $18 billion in cloud revenue in 2025 and has set a long-term target of $144 billion by 2030.

The growth reflects the global rush to build AI systems. Oracle has placed itself at the center of this movement, partnering in major projects such as the Stargate initiative led by SoftBank and OpenAI. These deals highlight Oracle’s role in powering the next generation of AI.

Recent Developments Strengthening Oracle’s Position

On top of these strong results, Oracle has made headlines with two new announcements that underline its growing role in AI.

The first is a massive deal with OpenAI. Beginning in 2027, OpenAI will purchase at least $300 billion worth of computing power from Oracle over five years. This is one of the largest cloud agreements in history, and it shows how central Oracle has become to advanced AI systems. For Oracle, it marks a major vote of confidence from one of the most important AI companies in the world.

Oracle’s stock surged to a record high. This boosted the company’s market value to nearly $1 trillion. The rally also made headlines for another reason: it boosted co-founder Larry Ellison’s wealth by more than $100 billion in a single day, making him the world’s richest person.

Greener Growth: Oracle’s Path to Net Zero

Amid the AI excitement and stock rally, Oracle is pushing its green message. The company has promised to be carbon neutral by 2050. It also set a nearer goal to cut greenhouse gas emissions in half by 2030, using 2020 as its baseline year. These goals cover its offices, data centers, and cloud services.

Oracle 2025 sustainability goalsOracle 2025 sustainability goalsOracle 2025 sustainability goals
Source: Oracle

Oracle has already achieved some key milestones:

  • Renewable power: 86% of OCI’s global energy came from renewables in 2023.
  • Regional progress: Europe and Latin America already run on 100% renewable power.
  • Global ambition: Oracle plans to hit 100% renewable energy worldwide by 2025.
  • Water and waste: Since 2020, water use has dropped by almost 25% and landfill waste by more than 35%.
  • Travel impact: Employee air travel emissions have been cut by 38% thanks to more virtual meetings.

These achievements prove Oracle is not only talking about sustainability but also acting on it. For a company scaling up fast in cloud and AI, these steps are important. They show Oracle is trying to balance expansion with its responsibility to the planet.

Pushing Green Standards Across the Supply Chain

Oracle knows its environmental impact extends beyond its own walls. A big part of its footprint comes from suppliers. That’s why the company is pushing its partners to meet strict environmental standards.

Oracle energy and GHG emissions 2024Oracle energy and GHG emissions 2024Oracle energy and GHG emissions 2024
Source: Oracle

Here are some of the key steps:

  • Supplier programs: All major suppliers must have environmental programs.
  • Emission targets: At least 80% of suppliers are expected to set formal climate goals.
  • Progress: More than four in five suppliers already meet these expectations.
  • Broader impact: By setting these standards, Oracle ensures its ESG efforts reach across its global supply chain.

This approach boosts Oracle’s credibility. It tells investors and clients that the company’s sustainability commitments are not limited to its own operations. Instead, they cover the full ecosystem of partners that make its technology possible.

AI-Powered Tools for Climate Accountability

Oracle is also building tools to help other companies meet their climate goals. One of these is Fusion Cloud Enterprise Performance Management (EPM) for ESG. This platform allows organizations to automate sustainability reporting, integrate emissions data with financial information, and align with global standards.

The system uses AI to make reporting easier and more accurate. This is important as regulators push companies to disclose their environmental impacts in more detail.

  • It combines Scope 1, 2, and 3 emissions data based on the GHG Protocol Corporate Standard. This links emissions to financial and operational data, helping with better ESG management.

  • Oracle improved its ESG reporting with this platform. They cut reporting timelines by 30% using automation and AI-driven process management.

  • The platform collects unique identifiers from source documents. This ensures clear data tracking and auditability. It boosts transparency and lowers compliance risks.

  • It supports global reporting standards like IFRS, ESRS (CSRD), and GRI. This helps organizations align their disclosures with changing regulations easily.

Oracle has also introduced features in its cloud infrastructure that estimate emissions from customer workloads. This means clients can see how much carbon their computing generates and adjust operations to stay on track with their own sustainability commitments. By doing this, Oracle is not only greening its own business but also helping others.

The Tough Road Ahead: Energy Demands vs. Climate Goals

Still, Oracle faces challenges in meeting its promises. Reaching 100% renewable energy worldwide is difficult, especially in regions where clean energy options are limited. Ensuring suppliers stick to emissions goals is also complex, given the size of Oracle’s global network.

Another challenge is the massive energy demand of AI. As Oracle expands its role in AI infrastructure, its energy use will rise. Balancing this growth with its climate goals will require new investment in efficient data centers, renewable sourcing, and innovations in green computing.

Oracle’s record-breaking stock surge highlights its importance in the AI and cloud industry. But what makes its story more powerful is the balance it is trying to strike between growth and sustainability. By pledging net zero emissions by 2050, setting ambitious near-term targets, and building tools for others to track emissions, Oracle is showing that technology and responsibility can go together.

For investors, Oracle now offers both a high-growth AI story and a strong ESG narrative. For customers, it provides powerful cloud services backed by renewable energy and transparent carbon data.

As Oracle continues to grow, its ability to deliver on both financial and environmental goals may define its future as one of the world’s most influential technology leaders.



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Loneliness Is Reshaping Your Workplace

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As a seasoned senior vice president at a global tech firm, Sharon wasn’t expecting to feel emotional while listening to a keynote. But as former U.S. Surgeon General Dr. Vivek Murthy spoke, describing how loneliness has become a public health crisis, something clicked. “It wasn’t that the information was new,” she told us. “It was that I suddenly saw the evidence everywhere—in my team, in our culture, even in myself.”





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Procure IT Names Corey Whiting as Chief Artificial Intelligence Officer

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