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  • NEW
    Viewpoint

    July 10, 2025
    The rapid rise of generative AI has led to a global infrastructure transformation, accelerating demand for high-performance computing and next-generation data centers. As enterprises and governments invest in sovereign compute capabilities, India is emerging as a key player due to its expanding digital economy, progressive policy environment, and growing hyperscaler activity. This report explores how India’s data center ecosystem is evolving, from concentrated tier-1 city hubs to a more distributed, regionally balanced model aligned with AI demands. However, not all regions are equally equipped to support dense, latency-sensitive AI workloads. Power availability, network infrastructure, land access, and environmental resilience vary widely across cities. To evaluate these differences, Everest Group introduces the CALIBER-DC framework, a comprehensive model that assesses regional data center readiness across key dimensions. This Viewpoint offers strategic insights for infrastructure developers, policymakers, and enterprises seeking to scale AI infrastructure in India.
  • NEW
    Viewpoint

    July 09, 2025
    Generative AI has moved from an experimental tool to a core enterprise engine, unlocking business value across the entire IT stack. Yet every new parameter-rich model brings a heavy sustainability price tag: soaring electricity draw, intensified cooling loads, and water usage that stretches local resources. The very clouds that promise digital transformation risk casting a shadow over global net-zero goals. In this Viewpoint, Everest Group unpacks the contradiction. We trace how exponential AI workloads are stress-testing hyperscalers’ original green growth pledges, such as 100 percent renewable energy, water-positive campuses, circular hardware, placing these commitments at a pivotal phase of execution and accountability. Beyond this, this Viewpoint focuses on future opportunities. Hyperscalers, based on their scale and influence, hold immense power to reset ambitions and raise the bar for sustainable growth. We examine how hyperscalers are already investing in next-generation technologies that can improve energy and resource efficiency, as well as how they can do more in the future. Ultimately, this Viewpoint offers a forward-thinking playbook for technology providers and enterprises navigating the intersection of AI and sustainability. By turning intent into impact, hyperscalers, their ecosystems, and enterprises can work together to drive responsible innovation that not only meets the moment but defines the next era of cloud leadership.
  • NEW
    Provider Compendium

    July 07, 2025
    The public cloud market is significantly growing due to enterprises’ pursuit of digital transformation, innovation, and operational resilience. Microsoft Azure has effectively addressed this demand through strategic investments in generative AI (in collaboration with OpenAI), industry-tailored cloud offerings, Microsoft Fabric for data, and robust security capabilities. As Azure’s portfolio expands, enterprises are turning to specialized Azure service providers to lead cloud migration efforts and drive ongoing optimization. These partners bring key expertise in cost efficiency, resource management, and cloud-native development, enabling organizations to maximize their Azure investments’ value. In response to evolving enterprise needs, Azure service providers are enhancing their go-to-market approaches, earning certifications and specializations, and building proprietary Azure-aligned IP. Their close collaboration with Microsoft allows them to deliver industry-specific, high-impact solutions that strengthen operations and unlock new growth opportunities. In this report, we assess 29 cloud service providers featured in the Microsoft Azure Services PEAK Matrix® Assessment 2024 and categorize them as Leaders, Major Contenders, and Aspirants based on their capabilities and offerings. Each profile offers a comprehensive picture of the provider’s operational overview, delivery presence, solutions on offer, investments, and market success.
  • Tech Launch Perspective

    June 30, 2025
    In May 2025, Google Cloud expanded its sovereign cloud offerings to address increasing demands for data sovereignty and operational autonomy. It launched Google Cloud Air-Gapped, a fully isolated environment designed for sectors with stringent data security requirements, such as defense and intelligence. This solution operates without external network connectivity and is authorized to handle US government Top Secret data. Google Cloud Dedicated, developed in partnership with Thales, a French leader in cybersecurity, offers region-specific services operated by local partners to meet national compliance standards, such as France’s SecNumCloud. The Google Cloud Data Boundary service expansion now offers customers granular control over data residency and access, complemented by the User Data Shield, which incorporates Mandiant’s security assessments to validate application security postures. While these initiatives demonstrate Google Cloud’s commitment to offering flexible, secure, and compliant cloud solutions, challenges remain. These challenges include the limited geographic availability of certain services and complexities in integrating sovereign solutions with existing multi-cloud architectures. Enterprises must carefully assess these factors when considering Google Cloud’s offerings for their sovereignty objectives.
  • Tech Launch Perspective

    June 30, 2025
    In April 2025, IBM unveiled the latest evolution of its mainframe portfolio with the introduction of IBM Z17, advancing its long-standing leadership in mainframes. IBM has long been a cornerstone in the evolution of enterprise computing, with its mainframe systems being vital in supporting mission-critical operations across industries. Known for their reliability, security, and performance, IBM has consistently adapted its mainframes to meet changing business needs. IBM Z17 focuses on delivering alignment with enterprise hybrid cloud and sustainability goals. It stands out with features such as quantum-safe encryption through Crypto Express 8S, Watsonx Assistant for Z, Operations Unite, and AI-enabled processing at the core. It introduces enhanced security features and hybrid cloud readiness, offering enterprises a flexible, future-ready solution to modernize while empowering mission-critical workloads in a rapidly transforming digital landscape. This evolution in the Z series reinforces IBM’s commitment to autonomous IT, streamlining operations, enhancing user experiences, while addressing long-standing challenges such as talent shortages and legacy system constraints.
  • Tech Launch Perspective

    June 26, 2025
    As enterprise AI adoption accelerates, organizations are ramping up investments in infrastructure capable of supporting a broad spectrum of AI workloads, from training to inference, across data center, cloud, and edge environments. AI is fueling demand for high-performance, low-latency network fabrics, streamlined operations, open, and secure architectures, and infrastructure that is energy efficient and sustainable. This report comprehensively analyzes Cisco’s networking infrastructure for AI announcements made at Cisco Live 2025. It examines Cisco’s current strategic positioning and highlights key innovations across switches, routers, and access points designed to enable AI-native infrastructure. The report also evaluates how Cisco is addressing key enterprise priorities such as operational simplification, architectural openness, extensibility, and sustainability. The report is intended to help infrastructure and technology leaders, architects, and ecosystem partners in evaluating Cisco’s portfolio strategy and its alignment with the evolving demands of future-ready, AI-powered enterprise environments.
  • Tech Launch Perspective

    June 26, 2025
    As enterprise AI adoption scales, organizations are actively investing in infrastructure that supports diverse AI workloads, from training to inference, across data center and edge environments. AI is driving demand for specialized chips, private cloud flexibility, and scalable performance aligned with governance requirements. This report reviews Dell Technologies’ AI infrastructure-related announcements made at Dell Technologies World 2025. It outlines Dell’s current infrastructure positioning and details the key products and capabilities launched across compute, storage, and orchestration layers. It further maps these announcements to broader enterprise infrastructure themes and offers a structured view of how Dell is designing products for modular AI deployments and stack extensibility. The report is intended to help technology decision-makers, partners, and infrastructure stakeholders understand the scope of Dell’s product updates and their relevance within the AI infrastructure landscape.
  • FEATURED
    Viewpoint

    June 17, 2025
    Enterprises have made cloud the operating backbone for AI, platform modernization, and continuous delivery, but governance practices remain reactive. Fragmented ownership, inconsistent tagging, and siloed tooling force finance and engineering teams to chase overspend long after budgets are breached, with 63% of organizations citing staying within forecasted cloud budgets as their top challenge. Systems of Execution (SoE) close this gap by fusing FinOps transparency with AIOps automation in an autonomous control plane. SoE continuously ingest cost, usage, and performance telemetry, apply AI decision logic, and enforce policy-aligned actions, such as resizing or pausing workloads, without human latency. By adopting SoE, organizations can transform cloud from a cost center into a self-optimizing performance engine that enforces budgets in real time, reduces variance, boosts resilience, and accelerates innovation cycles. The report charts a three-phase journey from reactive visibility to fully autonomous operations, detailing the data architecture, policy automation, AI decisioning, and governance pillars required at each step. It benchmarks ecosystem readiness, highlights emerging provider capabilities, and distils imperatives for enterprises, hyperscalers, and service partners, which include treating execution as a differentiator, embedding financial guardrails at run time, and redesigning services around continuous orchestration. Scope This report analyzes the cloud-governance gap, presents an SoE-led framework for autonomous financial and operational control, details a phased implementation roadmap, and offers guidance on selecting technology and service partners to enable self-optimizing cloud operations at scale. Contents All industries and geographies
  • Viewpoint

    May 22, 2025
    As enterprises navigate a dynamic business environment, operational excellence becomes a cornerstone of sustainable growth and competitive advantage. Shifting from traditional, fragmented models, they are adopting intelligent operations powered by automation, AI, and cloud-native platforms to enhance agility, resilience, and scalability. This transformation not only boosts efficiency but also fosters innovation, improves customer experience, and safeguards businesses against market disruptions. This Viewpoint explores how enterprises advance toward intelligent operations through distinct maturity phases: beginning with ad hoc, manual processes, progressing to managed, standardized workflows, then evolving into data-driven, automated operations, and ultimately reaching cognitive phases where AI and advanced analytics enable proactive, autonomous, and continuously improving functions. It offers a strategic roadmap to navigate operational transformation, identify key challenges, and highlight the essential technology enablers and provider capabilities needed. Additionally, expert guidance on partner selection strategies ensures that enterprises build adaptable, future-ready operations aligned with changing business needs. Scope All industries and geographies Contents This Viewpoint outlines: The persistent challenges enterprises face in modernizing operations A strategic framework to achieve future-ready, intelligent operations, guiding organizations through a phased transformation Expert guidance on selecting providers, emphasizing the importance of evaluating partners for their ability to deliver measurable outcomes, integrate advanced technologies, and drive sustainable, business-aligned transformation Memberships Cloud and Infrastructure Services Sourcing and Vendor Management
  • Tech Launch Perspective

    May 22, 2025
    As AI models become more complex and resource-intensive, enterprises must modernize their infrastructure to support high-performance, scalable, cost-effective workloads. Core challenges in modernization include integrating multimodal data, enabling autonomous agents, and optimizing the AI stack across diverse environments. Enterprises also aim to deploy AI in hybrid and edge settings, requiring flexibility, low latency, and data sovereignty. At Google Cloud Next 2025, Google announced AI infrastructure upgrades, including Ironwood TPUs for inference at scale, AI Hypercomputer improvements, expanded VM families, and re-architected networking with multi-shard architecture. Google also emphasized hybrid and distributed AI deployment with support for air-gapped environments and on-premises inference using NVIDIA Blackwell systems. These updates show Google’s intent to deliver an integrated AI stack, combining custom hardware, orchestration tools, and productivity platforms. However, these offerings also raise questions around interoperability with third-party tools, operational complexity, and cost transparency. In this report, we analyze Google’s AI infrastructure announcements at Google Cloud Next 2025, assessing their alignment with enterprise needs across performance, scalability, and deployment. The report covers key enterprise priorities, Google’s positioning, detailed product reviews, and Everest Group’s perspective on strengths and gaps of announced AI infrastructure-related products, offering a clear view of Google’s AI infrastructure maturity. Scope All industries and geographies Contents In this report, we examine: Key AI infrastructure-related products launched at Google Cloud Next 2025 Google’s current positioning and alignment in the AI infrastructure market AI infrastructure-related products’ specifications, benefits, and challenges