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Enfabrica Launches R&D Hub in Hyderabad to Boost AI Networking Innovation - Related to enfabrica, babu, from, centres, it

Enfabrica Launches R&D Hub in Hyderabad to Boost AI Networking Innovation

Enfabrica Launches R&D Hub in Hyderabad to Boost AI Networking Innovation

Enfabrica Corporation, the California-based leading innovator in AI networking, has announced the opening of its India R&D centre in Hyderabad, strengthening its global presence and expanding AI infrastructure capabilities.

This move underscores the enterprise’s commitment to scaling silicon and software product development while leveraging India’s deep talent pool.

The Hyderabad centre will focus on accelerating the delivery of Enfabrica’s cutting-edge Accelerated Compute Fabric SuperNIC (ACF-S) silicon and networking software, designed to enhance the efficiency and scalability of AI infrastructure for Generative AI (GenAI) training, inference, and retrieval-augmented generation (RAG) applications.

The enterprise aims to significantly expand its workforce in India, with plans to quadruple its headcount by the end of 2025.

The enterprise’s [website] Terabit/second ACF SuperNIC is engineered to be the fastest and most resilient GPU network interface controller, capable of supporting AI clusters ranging from 2,000 to over 100,000 GPUs. By optimising network design, the technology aims to enhance AI framework performance while reducing capital and operational expenses.

“Computer technology has always advanced at the speed and capacity set by interconnect and scaling capabilities,” mentioned Shrijeet Mukherjee, chief development officer at Enfabrica. “There is a tremendous opportunity for expansion in this market and Enfabrica is well positioned to help lead that evolution. We are proud to establish our very own hub in Hyderabad, leveraging the massive Indian talent pool to drive further innovation.”.

India’s Growing AI EcosystemIndia’s AI market is on track to reach $8 billion by 2025, growing at a compound annual growth rate of over 40% from 2020 to 2025. The country’s digital infrastructure, combined with its diverse demographic and economic landscape, presents a strategic advantage for scaling AI applications.

Backed by Strong InvestmentFounded in 2020 by Silicon Valley veterans Rochan Sankar and Shrijeet Mukherjee, alongside key engineers from Broadcom, Google, Cisco, AWS, and Intel, Enfabrica has rapidly emerged as a leader in AI networking.

The corporation in recent times presented the general availability of its [website] Tbps ACF SuperNIC and secured a $115 million Series C funding round, bringing its total funding to $260 million. With strong investor backing, Enfabrica is poised for further growth and innovation in the AI infrastructure space.

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Telangana to Transition from GCCs to GVCs: IT Minister Sridhar Babu

Telangana to Transition from GCCs to GVCs: IT Minister Sridhar Babu

Telangana is evolving from merely serving as a back office for global companies to becoming a centre for innovation, advanced technology, and intellectual property development.

At the 32nd Hyderabad Software Enterprises Association (HYSEA) National Summit & Awards, Telangana’s IT minister, Sridhar Babu, outlined a bold vision to shift from Global Capability Centers (GCCs) to Global Value Centers (GVCs), strengthening Hyderabad’s position in the global technology landscape.

“Over the past few years, GCCs have made Hyderabad a key technology and business hub. Now, we must take the next step—moving from service delivery to value creation, from execution to innovation,” Babu stated. “Hyderabad will not just be a preferred destination for global enterprises; it will become essential to the future of technology.”.

, the city’s IT sector is growing at 13% annually, with $32 billion in exports and $5 billion in domestic IT output. With a $186 billion GDP, Telangana aims to contribute $1 trillion to India’s economy in the next decade by leading in AI, semiconductors, defense technology, and deep-tech innovation.

Hyderabad already hosts 1,500+ tech firms, [website] million IT professionals, and 300,000 AI engineers, making it one of the fastest-growing tech hubs globally.

The HYSEA National Summit & Awards, organised by HYSEA and Software Technology Parks of India (STPI-H), is Telangana’s leading IT industry event. This year’s theme, “AI & Beyond: Redefining the Future,” highlighted Hyderabad’s role in AI-driven transformation.

As Telangana focuses on AI in governance, semiconductor research, and deep-tech skills, the shift from GCCs to GVCs will help attract more global investments and establish Hyderabad as a leader in next-generation technology.

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US GCC Centres Lead in India, Non-US Firms Catching Up

US GCC Centres Lead in India, Non-US Firms Catching Up

India’s global capability centre (GCC) ecosystem is expanding rapidly, set to grow from 1,700 centres in 2024 to 2,100 by 2030. While US-based GCCs continue to dominate, non-US GCCs are growing at a CAGR of [website], nearly twice the growth rate of US firms.

Karnataka remains the leading destination for US-headquartered GCCs in India, hosting over 50% of them. -AmCham GCC analysis, two-thirds of the world’s most admired US companies present in India have set up centres in Karnataka.

The key industries among them are BFSI (banking, financial services, and insurance) and software & internet.

Some of the prominent US-based GCCs in Bengaluru are Lowe’s, Kimberly-Clark, and Wells Fargo, to name a few.

A growing number of non-US companies are also setting up GCCs in India. “The anticipated 15-20% surge in non-American GCCs in India over the next two years highlights the country’s escalating strategic importance in the global business landscape,” expressed Alouk Kumar, founder and CEO at Inductus Limited.

Notably, GCCs from the Asia-Pacific region have experienced a growth exceeding 65% in the past five years, with those from Europe, the Middle East, and Africa growing by around 35-40%.

This trend is driven by enterprises from Europe, the Asia-Pacific, and the Middle East diversifying their global operations beyond traditional Western hubs.

Experts predict this growth trajectory will continue over the next 2-3 years.

Kumar further highlighted that “India’s cost-effective, highly skilled talent pool, robust digital infrastructure, and evolving policy framework make it an attractive destination.

“The emergence of Tier-II cities such as Ahmedabad, Kochi, Thiruvananthapuram, and Coimbatore as viable alternatives to metropolitan areas further strengthens India’s position as a GCC powerhouse.”.

For instance, Takeda, a Japanese biopharmaceutical giant, in recent times launched its innovation capability centre (ICC) in Asia in Bengaluru. The centre will use AI and digital technologies to drive research and improve healthcare.

“The launch of our Bengaluru ICC is a pivotal moment in Takeda’s digital transformation journey,” mentioned chief data and technology officer Gabriele Ricci.

In November 2023, ZEISS, a German optics and optoelectronics leader, opened its GCC in Bengaluru. The centre will tap into India’s IT talent pool to expand ZEISS’s global R&D efforts.

Mizuho Global Services India Pvt Ltd (MGS), a subsidiary of Japan’s Mizuho Bank, has opened a new office at the World Trade Center in Perungudi, Chennai. Since its founding in 2020, MGS has expanded rapidly with offices in Mumbai and Chennai. Currently employing 350 people, the organization plans to more than triple its workforce to over 1,000 in the next three years.

Experts believe that Europe’s reliance on India for technology operations is increasing, particularly in regions such as France, the Nordics, and the Benelux (Belgium, Netherlands, and Luxembourg).

This trend is driven by rapid modernisation, a shortage of local tech talent and the need for multilingual support across industries like manufacturing (Industry [website], automotive, BFSI, pharma, and retail.

“Traditionally, Europe used to have the nearshore captive centre, which gave them timing benefits,” stated the senior director leading GCC in Accenture, “due to war and instability in Europe, mostly in Ukraine and Poland, many financial GCC moved to India. The war has a huge impact.”.

The robust GCC ecosystem in India thrives on its skilled workforce, supportive government policies, innovative startups, and a strong network of service providers.

“Factors such as India’s competitive GCC Policies mushrooming out of several states and the ability to achieve operational efficiencies at scale make it the ideal choice for global firms seeking long-term resilience in their corporate strategies, ”Kumar further mentioned.

However, what truly sets India apart in this next phase of the GCC’s evolution is its ability to create value rather than just a cost arbitrage destination.

Non-American GCCs are leveraging India not just for talent and operations but for innovation—whether it’s Swiss financial firms setting up AI-powered risk analysis hubs in Bengaluru or Middle Eastern energy giants driving sustainability R&D from Hyderabad.

With India’s deep integration into global supply chains and its thriving startup ecosystem valued at over $400 billion, GCCs are increasingly tapping into co-innovation models with local firms and digital twin models with their parent companies, unlocking synergies that go far beyond basic outsourcing and ODC.

As India scales from a service delivery hub to a strategic innovation partner, the future of non-American GCCs in the country is not just about growth—it’s about leadership in global transformation.

Raghavendra Vaidya, MD and CEO at Daimler Truck Innovation Center India (DTICI), highlighted the growing trend of companies setting up engineering centres in India. He noted that while “the initial push came from US-based conglomerates,” in recent times, “many Western and Central European companies have been establishing their presence here.”.

He emphasised that the process has become highly structured: “The playbook has been perfected over the last few decades… it is almost a cookie-cutter approach if you have a real intention of doing it.” Companies today can easily reference existing models and successfully establish their own centres.

A key driver behind this trend is the transformation happening in Western and Central Europe, where companies are realising that “they can’t do all of their engineering by themselves in the headquarters because there are so many problems to be solved.” Observing their peers successfully setting up engineering centres in India, they recognise the value such centres bring to their parent organisations.

While IT services are relatively easy to establish, “setting up an engineering centre is difficult.” However, India remains “the talent market in the world for ER&D,” and the proven success of GCCs in driving innovation and value has instilled confidence among organisations looking to follow suit.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
23.1%27.8%29.2%32.4%34.2%35.2%35.6%
23.1%27.8%29.2%32.4%34.2%35.2%35.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
32.5% 34.8% 36.2% 35.6%
32.5% Q1 34.8% Q2 36.2% Q3 35.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Machine Learning29%38.4%
Computer Vision18%35.7%
Natural Language Processing24%41.5%
Robotics15%22.3%
Other AI Technologies14%31.8%
Machine Learning29.0%Computer Vision18.0%Natural Language Processing24.0%Robotics15.0%Other AI Technologies14.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Google AI18.3%
Microsoft AI15.7%
IBM Watson11.2%
Amazon AI9.8%
OpenAI8.4%

Future Outlook and Predictions

The Enfabrica Launches Hyderabad landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Improved generative models
  • specialized AI applications
3-5 Years
  • AI-human collaboration systems
  • multimodal AI platforms
5+ Years
  • General AI capabilities
  • AI-driven scientific breakthroughs

Expert Perspectives

Leading experts in the ai tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"The next frontier is AI systems that can reason across modalities and domains with minimal human guidance."

— AI Researcher

"Organizations that develop effective AI governance frameworks will gain competitive advantage."

— Industry Analyst

"The AI talent gap remains a critical barrier to implementation for most enterprises."

— Chief AI Officer

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing ai tech challenges:

  • Improved generative models
  • specialized AI applications
  • enhanced AI ethics frameworks

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • AI-human collaboration systems
  • multimodal AI platforms
  • democratized AI development

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • General AI capabilities
  • AI-driven scientific breakthroughs
  • new computing paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of ai tech evolution:

Ethical concerns about AI decision-making
Data privacy regulations
Algorithm bias

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Responsible AI driving innovation while minimizing societal disruption

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Incremental adoption with mixed societal impacts and ongoing ethical challenges

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and ethical barriers creating significant implementation challenges

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Redefinition of knowledge work, automation of creative processes. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Ethical concerns, computing resource limitations, talent shortages. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Multimodal learning, resource-efficient AI, transparent decision systems. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

generative AI intermediate

algorithm

algorithm intermediate

interface

platform intermediate

platform Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

scalability intermediate

encryption

interface intermediate

API Well-designed interfaces abstract underlying complexity while providing clearly defined methods for interaction between different system components.

API beginner

cloud computing APIs serve as the connective tissue in modern software architectures, enabling different applications and services to communicate and share data according to defined protocols and data formats.
API concept visualizationHow APIs enable communication between different software systems
Example: Cloud service providers like AWS, Google Cloud, and Azure offer extensive APIs that allow organizations to programmatically provision and manage infrastructure and services.