Thursday, February 19, 2026

L&T and NVIDIA Partner to Build India's Gigawatt-Scale Sovereign AI Factory Infrastructure

By Blogger February 19, 2026 No comments

L&T Partners with NVIDIA to Build India's Largest Gigawatt-Scale AI Factory

In a landmark move set to reshape India's technology landscape, Larsen & Toubro (L&T) has announced a strategic partnership with NVIDIA to develop sovereign, gigawatt-scale AI factory infrastructure across India. Unveiled at the India AI Summit, the venture aligns with the IndiaAI Mission and aims to position India as a premier global hub for artificial intelligence infrastructure.

What the Partnership Entails

The collaboration brings together L&T's decades of engineering and infrastructure execution expertise with NVIDIA's cutting-edge AI technology stack. This includes NVIDIA GPUs, CPUs, high-speed networking, accelerated storage platforms, the NVIDIA AI Enterprise software suite, and proven reference architectures for rapid, secure AI deployment.

The initiative is designed to serve a wide range of stakeholders — from domestic enterprises and government bodies to global hyperscalers, cloud providers, and industrial corporations looking to leverage India as a strategic AI base of operations.

Infrastructure Scale and Locations

The venture has ambitious infrastructure targets at its core:

Scaling NVIDIA GPU cluster deployment at L&T's Chennai data center up to 30 MW capacity, situated within a sprawling 300-acre, gigawatt-scalable campus.
A new 40 MW data center in Mumbai, currently under active execution.
Long-term plans for a gigawatt-scale AI data center factory capable of supporting high-density, next-generation AI workloads.

Sovereign AI Infrastructure at the Core

A defining feature of this initiative is its sovereign-by-design approach. In alignment with the IndiaAI Mission, the infrastructure ensures that critical data, AI models, and workloads are built, trained, and deployed within India's borders, while remaining interoperable with global systems.

This makes the platform well-suited for sectors that require data security and regulatory compliance, including financial services, healthcare, energy, manufacturing, and public services.

From Pilots to Production-Scale AI

One of the venture's key objectives is accelerating India's transition from AI experimentation to full production-scale deployment. The AI factory model will deliver standardised, enterprise-grade AI capabilities with predictable performance, robust security, and fast time-to-value.

L&T's group companies stand to benefit directly. Innovations such as LTTS's Lights-Out Factory framework leveraging NVIDIA Omniverse, LTM's Blueverse platform, and LTFS's agentic AI deployments are all slated to run on this sovereign cloud infrastructure. L&T's internally developed AI agents will also be hosted on the platform.

Leadership Speaks

S N Subrahmanyan, Chairman & Managing Director of L&T, emphasized the transformative potential of the venture: "India's enterprises are ready to move from AI pilots to production-scale deployment. With NVIDIA's platforms and L&T's execution strength, we are building infrastructure that will enable AI to deliver measurable economic impact."

Jensen Huang, Founder and CEO of NVIDIA, highlighted the broader global significance: "AI is driving the largest infrastructure buildout in human history. Together with L&T — an 88-year-old engineering and nation-building leader — we are laying the foundation for world-class AI infrastructure that will power India's growth."

Why This Matters for Investors and the Market

This announcement carries significant implications for L&T's long-term growth story. The company is strategically positioning itself at the intersection of infrastructure development and the AI economy — two of the most capital-intensive and high-growth sectors globally. For retail investors tracking L&T's stock, this partnership signals a meaningful diversification into the digital infrastructure space, complementing its traditional engineering and construction business.

As India advances its national AI agenda under the "Making AI in India and Making AI Work for India" vision, L&T's early-mover advantage in sovereign AI infrastructure could translate into substantial long-term value creation.

Disclaimer: The views and investment tips expressed in this article are for informational purposes only and do not represent financial advice. The views expressed are those of the sources cited and not necessarily those of this website or its management. Investing in equities or other financial instruments carries the risk of financial loss. Readers must exercise due caution and conduct their own research before making any investment decisions. We are not liable for any losses incurred as a result of decisions made based on this article. Please consult a qualified financial advisor before making any investment.

Adani Group to Invest $100 Billion in AI Data Centres, Targets $250 Billion Ecosystem

By Blogger February 18, 2026 No comments

Adani Group to Invest $100 Billion in AI Data Centres, Targets $250 Billion Infrastructure Ecosystem

The Adani Group has unveiled an ambitious plan to invest $100 billion in building renewable energy-powered, AI-ready data centres by 2035. The ports-to-power conglomerate aims to position India as a global hub for artificial intelligence (AI) infrastructure, aligning its strategy with the country’s growing digital and AI ambitions.

The company stated that this massive capital deployment could act as a catalyst for an additional $150 billion in investments across related industries such as server manufacturing, advanced electrical systems, and supporting infrastructure. Together, this could create a potential $250 billion AI infrastructure ecosystem in India over the next decade.

Scaling AI Infrastructure Across India

The new investment will expand upon AdaniConneX’s existing 2 GW national data centre capacity, which is now progressing toward a 5 GW target. The expansion is supported by strategic partnerships with major global technology firms.

Previously, AdaniConneX announced a collaboration with Google to establish what is expected to be India’s largest AI data centre hub along with energy infrastructure in Visakhapatnam. Google has committed $15 billion toward the project.

Additionally, partnerships with Microsoft are driving the development of data centre campuses in Hyderabad and Pune, strengthening the company’s AI-ready footprint across key technology corridors.

New Partnerships and Expansions

Beyond existing collaborations, the group is actively engaging with other global players to establish large-scale data centre campuses across India. It has also partnered with Walmart-owned Flipkart to build a second AI-focused data centre tailored to support Flipkart’s AI workloads and next-generation digital commerce operations.

This coordinated expansion underscores the increasing demand for AI infrastructure fueled by:

Rapid enterprise-level AI adoption
Competitive data centre construction costs in India
Government-mandated data localisation norms
Rising cloud and digital commerce penetration

Five-Layer AI Stack and Technological Sovereignty

The Adani Group’s strategy extends beyond physical infrastructure. The company has outlined plans to develop a comprehensive five-layer AI stack, integrating green energy, data centres, digital infrastructure, advanced computing, and AI applications.

According to the company leadership, the objective is to ensure that India becomes a creator and exporter of AI capabilities rather than merely a consumer of global technologies. This vision aligns with the broader national push to strengthen technological self-reliance.

Renewable Energy Backbone: Additional $55 Billion Commitment

To power this large-scale AI infrastructure sustainably, Adani Enterprises also announced a further $55 billion investment in expanding its renewable energy portfolio. This includes the development of one of the world’s largest battery energy storage systems.

The integration of renewable energy with data centre infrastructure is expected to:

Lower long-term operational costs
Reduce carbon footprint of AI workloads
Enhance energy security and grid stability
Support ESG-focused investment mandates

India’s Emerging AI Investment Landscape

The announcement comes at a time when global corporations are committing substantial capital to India’s digital ecosystem. Technology giants and conglomerates have pledged multi-billion-dollar investments to set up data centres across the country.

India’s growing digital economy, expanding internet penetration, and regulatory emphasis on data localisation are driving this investment wave. As AI adoption accelerates across financial services, telecommunications, manufacturing, and e-commerce sectors, demand for hyperscale, energy-efficient data centres is expected to rise sharply.

For retail investors, this development signals a long-term structural shift toward AI infrastructure and green energy integration. Companies with exposure to data centres, renewable power, electrical equipment, and semiconductor ecosystems could potentially benefit from this investment cycle.

With a combined potential impact of $250 billion over the next decade, Adani Group’s strategy represents one of the most significant private-sector commitments toward building India’s AI infrastructure backbone.

Infosys partners with Anthropic to deploy enterprise AI solutions across sectors

By Blogger February 17, 2026 No comments

Infosys Partners with Anthropic to Accelerate Enterprise AI Adoption Across Key Industries

Strategic Collaboration to Deliver Advanced AI Solutions

Infosys has announced a strategic collaboration with AI research and safety firm Anthropic to develop and deploy advanced enterprise artificial intelligence (AI) solutions across multiple industries. The partnership will initially focus on the telecommunications sector before expanding into financial services, manufacturing, and software development.

The collaboration underscores a shared objective: to move beyond experimental AI deployments and deliver scalable, secure, and industry-ready AI systems capable of driving meaningful business transformation.

Telecom Sector to Lead the Rollout

The partnership will begin with the establishment of a dedicated Anthropic Center of Excellence within the telecommunications sector. This center will focus on designing and deploying AI agents tailored to telecom-specific operations.

In telecom, AI agents are expected to:

Modernize network operations
Streamline customer lifecycle management
Enhance service delivery efficiency

By embedding AI into core operational workflows, telecom providers can improve responsiveness, reduce operational bottlenecks, and enhance customer experience.

Integration of Claude Models with Infosys Topaz

At the core of the collaboration is the integration of Anthropic’s Claude AI models, including Claude Code, with Infosys’ Topaz AI platform. This combination is designed to help enterprises automate complex workflows while maintaining governance, transparency, and compliance — especially critical in regulated industries.

The integration aims to:

Automate multi-step enterprise processes
Accelerate software development cycles
Ensure AI adoption with built-in governance controls
Enhance operational efficiency without compromising compliance standards

Focus on Agentic AI Systems

A key highlight of the partnership is the development of agentic AI systems. Unlike traditional AI models that respond to prompts, agentic AI can independently execute multi-step tasks across workflows.

These systems can handle processes such as:

Processing insurance claims
Generating, testing, and debugging code
Conducting compliance reviews
Managing risk assessments

Using tools like the Claude Agent SDK, enterprises will be able to deploy AI agents capable of managing long-running and complex tasks efficiently.

Expanding Across Financial Services and Manufacturing

Following the telecom rollout, the collaboration will expand into financial services, manufacturing, and engineering sectors.

Financial Services

In the financial domain, AI agents will support:

Faster risk detection and assessment
Automated compliance reporting
Personalized customer engagement based on historical and market data

Manufacturing and Engineering

For manufacturing and engineering companies, AI integration will accelerate product design and simulation processes. Engineers will be able to test multiple iterations quickly, significantly reducing research and development timelines.

Software Development

In software development, teams will leverage Claude Code to write, test, and debug programs more efficiently, enabling faster transitions from design to production.

Modernizing Legacy Systems and Reducing Costs

The collaboration also targets modernization of legacy IT systems. By combining Infosys Topaz with Claude models, enterprises can accelerate digital transformation initiatives while reducing infrastructure upgrade costs.

Infosys is already deploying Claude Code internally within its Exponential Engineering organization to build expertise and refine best practices before scaling solutions to clients globally.

Strategic Implications for Enterprises

This partnership reflects a broader industry trend toward enterprise-grade AI adoption that prioritizes scalability, governance, and domain expertise. By combining engineering scale with advanced AI capabilities, Infosys and Anthropic aim to help enterprises redesign operating models and unlock long-term value.

For investors and market participants, this collaboration signals Infosys’ continued push into high-value AI services — a segment expected to drive future revenue growth and margin expansion in the global IT services industry.

Mutual Funds Sell Rs 4,100 Crore in February, First Net Selling Since April 2023

By Blogger February 16, 2026 No comments

Mutual Funds Turn Net Sellers in February, Offload Rs 4,100 Crore in Equities After 3-Year Buying Streak

In a notable shift in market activity, mutual funds (MFs) have emerged as net sellers in Indian equities for the first time in nearly three years. So far in February, domestic funds have sold shares worth approximately Rs 4,100 crore, marking a break from their prolonged buying trend.

This is the first instance of net selling since April 2023, when mutual funds had offloaded equities worth over Rs 4,532 crore. Prior to that, they had remained net buyers for 34 consecutive months, consistently supporting the domestic equity market.

How Significant Is the Rs 4,100 Crore Selling?

While the headline number appears substantial, industry experts suggest the scale of selling needs to be viewed in context. The mutual fund industry currently manages assets worth nearly Rs 40 lakh crore. Against this backdrop, a net sale of Rs 4,100 crore represents a relatively small fraction of overall assets.

For perspective:

In January 2026, MFs had purchased equities worth Rs 42,355 crore.
During 2025, they invested around Rs 4.93 lakh crore in Indian equities.
February’s selling has occurred in six out of seven trading sessions so far.

This indicates that the current selling phase is modest compared to the scale of previous inflows.

Portfolio Churn, Not Redemption Pressure

Market participants believe that the selling does not signal panic or heavy redemption pressure. Instead, it appears to be driven largely by portfolio rebalancing and profit booking.

Fund managers are reportedly trimming exposure in certain underperforming stocks and reallocating capital toward stronger, high-quality names—particularly in the large-cap segment. Some funds are also adjusting their portfolios after accumulating stocks during earlier phases when foreign institutional investors (FIIs) were selling aggressively.

Importantly, systematic investment plan (SIP) inflows remain steady, suggesting that retail participation continues to provide underlying support to domestic funds.

Impact of Index Rebalancing and Global Factors

Another contributing factor could be index rebalancing. January 31 is a key review date for major NSE indices, and global index providers also announced changes in early February. Such rejigs often trigger buying and selling activity among funds tracking or benchmarking against these indices.

Additionally, evolving macroeconomic and geopolitical developments are influencing capital flows. Key factors include:

Progress and revisions in the India–US trade agreement, particularly related to agricultural goods.
Ongoing geopolitical uncertainties.
Expectations of further monetary policy easing.

Amid these dynamics, investors have shown increased interest in alternative asset classes such as gold and silver ETFs, bond funds, and hybrid funds.

Broader Market Weakness Adds Context

The shift in fund flows is occurring alongside broader market consolidation. The Nifty 500 index is currently down around 3.4% from its 52-week high. More strikingly, nearly 50% of stocks in the index are trading over 20% below their respective 52-week peaks.

This divergence indicates selective weakness beneath the surface, even as headline indices appear relatively resilient.

Foreign investor flows have been intermittent, and sustained inflows may depend on:

Relative valuation comfort.
Currency stability.
Global risk appetite.

The Indian rupee continues to hover near its recent lows despite policy measures, which could also influence foreign capital allocation decisions.

What Should Retail Investors Watch?

For retail investors tracking stock market news, the key indicator to monitor is whether equity fund inflows remain stable. If domestic inflows continue and SIP contributions stay robust, occasional portfolio churn is unlikely to materially impact market stability.

However, sustained equity outflows combined with continued net selling would signal a more structural shift in sentiment.

At present, the data suggests strategic reallocation rather than structural weakness.

RBI Tightens Broker Funding Norms from April 2026: Impact on Stock Brokers

By Blogger February 15, 2026 No comments

RBI Tightens Broker Funding Norms from April 2026: Impact on Stock Brokers and Capital Markets

New Regulatory Framework to Reshape Broker Funding

The Reserve Bank of India (RBI) has introduced sweeping amendments to funding and collateral norms that will come into effect from April 1, 2026. The revised framework significantly tightens rules governing broker financing, bank guarantees, and capital market exposure limits.

The move is aimed at strengthening systemic stability and curbing excessive leverage within the capital markets ecosystem. However, it may also increase operational costs and capital requirements for stock brokers.

Shift to 100% Secured Funding

One of the most notable changes is the requirement for fully secured funding. Going forward, brokers can only avail funding that is backed entirely by tangible collateral.

Previously, banks could structure a ₹100 bank guarantee with:

₹50 backed by fixed deposits, and
₹50 supported by unsecured instruments such as promoter or corporate guarantees.

Under the new norms, this flexibility has been eliminated. Promoter guarantees alone will no longer qualify as sufficient backing. This shift is expected to increase capital blockage and reduce leverage within brokerage operations.

Stricter Bank Guarantee and Collateral Rules

The amendment also tightens conditions for bank guarantees issued in favour of stock exchanges or clearing corporations.

Key Changes Include:

A minimum 50% collateral requirement for bank guarantees.
At least 25% of the collateral must be in cash.
Equity shares used as collateral will attract a minimum 40% haircut.

This means that the valuation of pledged shares will be significantly discounted, reducing the effective borrowing power of brokers. As a result, bank guarantee costs are likely to rise.

Restrictions on Proprietary Trading Funding

The RBI has also imposed tighter restrictions on proprietary trading activities.

Banks will no longer be allowed to fund proprietary trading, except in limited cases such as:

Market-making activities
Certain debt warehousing functions

In addition, all such exposures will now be classified as capital market exposure. This classification means that banks’ overall capital market exposure limits will apply, potentially curbing their appetite for lending to brokers.

Continuous Collateral Monitoring and Margin Calls

The new framework introduces stricter monitoring requirements. Brokers must maintain collateral cover on a continuous basis.

Facility agreements must now explicitly include:

Provisions for margin calls in case of collateral shortfall
Ongoing monitoring of asset cover

This reduces flexibility for brokers during periods of market volatility and may increase short-term liquidity pressure.

What This Means for Stock Brokers

Overall, the amendment is expected to:

Reduce system-wide leverage
Increase capital requirements for brokers
Raise bank guarantee costs
Limit reliance on unsecured promoter guarantees

For well-capitalized brokerage firms, the transition may be manageable. However, smaller brokers with thinner capital buffers could face margin pressures.

For retail investors, the changes could result in a more resilient and transparent market structure. While short-term liquidity in certain segments may tighten, the long-term objective is to strengthen risk management and reduce systemic vulnerabilities.

With implementation scheduled for April 2026, brokers and financial institutions have a limited window to realign their funding structures and comply with the revised norms.

KLA to Invest ₹3,600 Crore in Tamil Nadu for Global R&D Campus, 4,000 Jobs Planned

By Blogger February 14, 2026 No comments

KLA to Invest ₹3,600 Crore in Tamil Nadu for Global R&D Campus, 4,000 Jobs Expected

In a significant boost to India’s semiconductor ambitions, US-based chip equipment major KLA has signed a memorandum of understanding (MoU) with the Tamil Nadu government to invest $400 million (approximately ₹3,600 crore) in Chennai. The investment will be directed toward setting up a state-of-the-art global research and development (R&D) and innovation campus.

The proposed facility marks a major milestone for Tamil Nadu’s growing semiconductor and electronics ecosystem and underscores India’s increasing importance in the global chip value chain.

12-Acre Global Innovation Hub in Chennai

The upcoming campus will be spread across 12 acres in Chennai and is expected to emerge as KLA’s flagship R&D center outside its global headquarters. Over time, the campus is planned to have a built-up capacity of up to 1.5 million square feet, making it one of the largest integrated semiconductor R&D facilities in the region.

According to state officials, once fully operational, the facility is expected to generate up to 4,000 high-skilled jobs. These roles will primarily cater to engineers, researchers, and technology professionals working in advanced semiconductor technologies.

Key Focus Areas of the Campus

The Chennai R&D center will focus on cutting-edge areas critical to the semiconductor ecosystem, including:

High-performance computing (HPC)
Process control engineering software
AI-driven semiconductor innovation
Advanced solutions for integrated circuits and chip packaging

This strategic focus aligns with the global semiconductor industry's shift toward automation, artificial intelligence integration, and precision process control.

Strengthening India’s Semiconductor Ecosystem

KLA is considered one of the leading players in semiconductor manufacturing design and R&D. The company develops advanced process control equipment and services that enable innovation in integrated circuits, packaging technologies, and printed circuit boards.

The decision to establish a major R&D campus in Chennai reflects growing investor confidence in India’s semiconductor policy framework and skilled talent pool. Tamil Nadu has been actively positioning itself as a semiconductor and electronics manufacturing hub through targeted industrial policies and infrastructure support.

For retail investors tracking India’s semiconductor push, this development is strategically important. While India is still in the early stages of chip fabrication capabilities, investments in design, research, and process engineering are critical building blocks for long-term industry competitiveness.

Employment and Economic Impact

The creation of up to 4,000 high-value technology jobs is expected to have a multiplier effect on the regional economy. Apart from direct employment, the campus could stimulate:

Growth in ancillary technology services
Increased demand for real estate and infrastructure
Collaboration with local universities and research institutions
Expansion of semiconductor-focused startups

With a potential built-up capacity of 1.5 million sq ft, the campus signals a long-term commitment rather than a short-term expansion strategy.

What This Means for Investors

India’s semiconductor narrative has been gaining traction over the past few years, supported by policy incentives and rising global demand for diversified supply chains. Large-scale investments such as this reinforce the country’s positioning as a strategic R&D destination.

For investors monitoring global semiconductor trends, KLA’s ₹3,600 crore commitment indicates:

Confidence in India’s engineering talent pool
Long-term R&D expansion plans in Asia
Strengthening of India’s role in global semiconductor innovation

While the investment does not directly relate to chip fabrication, it strengthens the upstream ecosystem - particularly in process control and AI-driven semiconductor design — which are critical for advanced manufacturing capabilities worldwide.

As India aims to become a major player in electronics and semiconductor manufacturing, strategic R&D investments like this could play a pivotal role in accelerating technological self-reliance and export competitiveness.

Ola Electric narrows Q3 loss to Rs 487 crore

By Blogger February 13, 2026 No comments

Ola Electric Q3 Results: Loss Narrows to Rs 487 Crore Despite 55% Revenue Decline

Ola Electric reported a narrower net loss for the December quarter (Q3FY26), even as revenue and vehicle deliveries witnessed a sharp year-on-year decline. The electric vehicle (EV) manufacturer is currently undergoing what it describes as a “structural reset,” focusing on long-term sustainability rather than short-term volume growth.

Key Financial Highlights

For the quarter ended December, the company posted a consolidated net loss of Rs 487 crore, improving from Rs 564 crore in the same period last fiscal year.

However, revenue from operations fell significantly by 55% YoY to Rs 470 crore, compared to the previous year’s corresponding quarter.

Net Loss: Rs 487 crore (vs Rs 564 crore YoY)
Revenue: Rs 470 crore (down 55% YoY)
Adjusted EBITDA Loss: Rs 323 crore (vs Rs 494 crore YoY)
Total Deliveries: 32,680 units (vs 84,029 units YoY)

The reduction in adjusted operating EBITDA loss to Rs 323 crore from Rs 494 crore last year reflects improved cost control and better operating leverage.

Automotive Segment Under Pressure

The automotive segment bore the brunt of the slowdown, with revenues plunging to Rs 467 crore from Rs 1,045 crore in the year-ago quarter. Meanwhile, the cell manufacturing business generated around Rs 9 crore in revenue during the quarter.

Deliveries dropped sharply to 32,680 units, compared to 84,029 units in the corresponding period last year. The company attributed the volume decline to strategic realignment and slower EV penetration growth in the market.

Strategic Reset and Operational Realignment

Management indicated that Q3FY26 marked a turning point, with the company prioritizing structural corrections over aggressive expansion. The retail footprint, cost base, and operating model were recalibrated to establish a sustainable business framework.

According to the company, this restructuring has resulted in:

A structurally lower volume breakeven level
Enhanced operating leverage
Greater focus on long-term profitability

The management emphasized that the objective was to strengthen fundamentals rather than maximize short-term sales numbers.

Capex Phase Nears Completion

Ola Electric has invested approximately Rs 5,300 crore across manufacturing facilities, battery innovation, and research and development platforms. The company believes this scale of investment provides a structural competitive advantage in India’s EV ecosystem.

The heavy capital expenditure cycle is largely complete, with the final phase of its Gigafactory expected to be operational by March 2026. At present, the company’s manufacturing infrastructure supports:

1 million vehicles annually
6 GWh of cell capacity

Going forward, the focus will shift from capacity creation to revenue expansion. The company has outlined an ambitious medium-term revenue potential of Rs 15,000–20,000 crore over the next few years.

Addressing Service Challenges

The company acknowledged that gaps in service execution affected brand perception during the quarter. It clarified that these concerns were related to service infrastructure and operational execution rather than product quality.

An independent third-party survey reportedly showed 90% overall product satisfaction and strong repurchase intent, indicating sustained customer confidence in its offerings.

Outlook for Retail Investors

While the sharp revenue decline and delivery slowdown may weigh on short-term sentiment, the narrowing losses and improved operating metrics suggest progress in cost optimization. With capex largely behind it and capacity in place, the company’s next phase hinges on scaling revenues efficiently.

Investors will closely monitor demand recovery in the EV segment, execution on service improvements, and the company’s ability to convert installed capacity into sustained revenue growth.

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