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HPE Announces AMD-Powered Gen13 Servers Focused on Security and Operations

Kuba Stolarski — Thu, 08 Oct 2026 04:00:00 GMT

HPE opened its ProLiant Gen13 on October 7 with four systems, all on 6th Gen AMD EPYC, spanning two GPU-capable rack servers and two CPU-dense Open Compute Project (OCP) designs. Two things stand out. First, this is as much a platform-layer pitch as a silicon one. The arguments HPE leads with are automatic security, life-cycle trust, and operational visibility through iLO 8 and Compute Ops Management. With the same accelerators available from every major vendor, this surrounding layer is where HPE competes. Second, availability runs well past the announcement, into 2027 for three of the four systems, so buyers evaluating now are planning against a road map rather than shipping product.

Converged and Hyperconverged Systems in the AI Era: For Core and Edge Deployments

Rajiv Ranjan — Wed, 07 Oct 2026 04:00:00 GMT

This IDC Market Perspective discusses how converged infrastructure (CI) and hyperconverged infrastructure (HCI) have entered a new strategic era. AI workload proliferation from core to edge and the simultaneous increase in edge computing investments have fundamentally changed the value proposition of CI/HCI from operational simplicity to an AI-ready, edge-deployable infrastructure option.

IDC's research confirms that the market leaders — Nutanix, HPE, Dell Technologies, Cisco, and Lenovo — have made significant investments to align their CI and/or HCI platforms with AI requirements. Nutanix brings cloud-like management capabilities through its cloud platform, hardware-agnostic software, and integration with LLM frameworks. HPE has introduced disaggregated architecture and bundled much of its offerings under its GreenLake consumption offering. Dell has transitioned to its private cloud offering and introduced disaggregated architecture as part of it. It offers separate VMware- and Nutanix-based HCI products, as well as validated design offerings for specific workloads. Cisco has a wide range of offerings, including Nutanix-based HCI and an AI POD offering, as well as converged systems in separate collaborations with NetApp, Everpure, and Hitachi Vantara. Lenovo offers HCI products based on Nutanix, VMware, and Microsoft virtualization, as well as an AIPod in collaboration with NetApp.

The enterprises best positioned to capture value from this infrastructure evolution will be those that approach CI/HCI selection as an AI infrastructure decision first. They must evaluate platforms not just on consolidation efficiency but on their ability to serve as the on-premises AI factory for the next few years. As IDC projects AI infrastructure spending to grow rapidly over the next four to five years, decisions made in 2026 will define which organizations lead and which lag in the AI-powered competitive landscape.

"Converged and hyperconverged offerings are fast evolving from merely consolidating virtualization environments to serving dedicated AI training, fine-tuning, and inferencing workloads. Enterprises can evaluate different CI and HCI offerings from multiple vendors for their AI use cases based on architecture, GPU support, performance commitment, and integration with popular LLM frameworks," says Rajiv Ranjan, associate research director, Storage and Data Management, Enterprise Infrastructure, IDC.

IDC MarketScape: Worldwide Edge Distributed Energy Resource Management Systems 2026 Vendor Assessment

John Villali, Gaia Gallotti, Jean-François Segalotto — Wed, 07 Oct 2026 04:00:00 GMT

This IDC study evaluates vendors providing edge distributed energy resource management systems (edge DERMSs) solutions to utilities worldwide. It analyzes vendors' capabilities, strategies, and comparative positioning in a market undergoing structural transformation as distribution networks absorb rising volumes of distributed energy resources (DERs) and utilities pursue electrification-driven grid modernization. The document provides utilities with a structured framework to assess vendor offerings across DER portfolio optimization and aggregation, market participation and VPP orchestration, platform architecture, integration capabilities, and ecosystem extensibility.

"Edge DERMS is no longer a bet on future flexibility markets; its infrastructure utilities need now, as DER penetration outpaces the tools built to manage it. The vendors that succeed the next three to five years will be the ones proving real-time dispatch at production scale today while building the interoperability with grid DERMS and ADMS that regulators and utilities will increasingly demand," said John Villali, senior research director, IDC Energy Insights.

IDC MarketScape: Worldwide Grid Distributed Energy Resource Management Systems 2026 Vendor Assessment

Gaia Gallotti, Jean-François Segalotto, John Villali — Wed, 07 Oct 2026 04:00:00 GMT

This IDC MarketScape study evaluates vendors providing grid distributed energy resource management system (grid DERMS) solutions to utilities worldwide. It analyzes vendors’ capabilities, strategies, and comparative positioning in a market undergoing structural transformation as distribution networks absorb rising volumes of distributed energy resources (DERs) and utilities pursue electrification-driven grid modernization. The report provides utilities with a structured framework to assess vendor offerings across DER orchestration and dispatch, network-constraint optimization, platform architecture, integration capabilities, and ecosystem extensibility.

“Grid capacity has stopped being a system-level question and become a question about a specific feeder at a specific hour, which means utilities now need the ability to enforce a network constraint at a precise point on the grid, within operational timescales, and across resources they may not own. That is no longer something an ADMS alone is designed to do,” said Gaia Gallotti, research director, IDC Energy Insights. “This IDC MarketScape shows that grid DERMS has become the system of record for that decision. As AI expands into constraint prediction and decision support, as well as automation into closed-loop dispatch, the control authority will increasingly determine how much grid capacity utilities can unlock.”

Coforge: Engineering the AI-Native Future — Domain-Led Delivery for the Agentic Era

Mukesh Dialani — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Vendor Profile analyzes Coforge's current software engineering capabilities, its AI-native delivery vision, and its three-stage road map for the future of AI-led software engineering services. It examines the company's service lines that anchor today's revenue. These include software product engineering, legacy modernization, modern AMS, integration and API gateways, and SRE/observability — and how each will be reshaped by Coforge's Nuuron, AI Operating System, AI Mod Squad construct, and the broader shift in how SDLC, talent, and related economics will impact these services over the next two to three years.

The Coforge narrative, data, figures, and case study outcomes in this document are supplied by Coforge and reflect the company's own reporting. IDC has not independently validated these inputs. IDC's independent views are confined to the IDC Opinion, Future Outlook, and Essential Guidance sections.

Datacenter Infrastructure, System and Component Supply, and Leadtime Update: September 2026

Tue, 06 Oct 2026 04:00:00 GMT

This IDC Presentation provides a supply situation and leadtime outlook, along with comprehensive analysis, for the following datacenter infrastructure and system component categories: system motherboard and substrate, processor, memory and storage, logic and control components, networking and connecting components, rack/system power and thermal distribution, rack and peripherals, datacenter power infrastructure, and datacenter cooling infrastructure.

Fit Over Formula: Rethinking Implementation Strategy for Sustainability Software

Amy Cravens — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Perspective analyzes results from IDC’s 2026 Sustainability Software Survey of 8,663 use case–level observations and 816 respondents ) to assess how the implementation model affects outcomes and satisfaction. Data shows that organizational readiness, integration depth, and training investment are stronger predictors of outcomes than the implementation model (vendor-led, self-implemented, or partner-/consultant-led) chosen. The document presents four data-driven patterns on winning deployment models and provides guidance for evaluation, budgeting, and internal readiness based on these findings.

“There is no universally best way to implement sustainability software. The real risk is a half-finished integration, which IDC data shows directly impacts satisfaction and value extraction. Buyers should match implementation to their readiness and commit fully to integration and training,” says Amy Cravens, research manager on sustainability and ESG software, IDC.

IDC Survey: 2026 Worldwide Consumer Devices — User Personas

Linn Huang — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Survey presents the results from the computer section of the survey cut by user persona. IDC fielded a survey to 6,383 consumers across 16 countries spanning all major geographies in August 2026 to understand their device ownership, usage, and future purchasing intentions. Highlights include:

Power users are a large, high-value, demographically distinct segment, not a fringe niche.
Power users are meaningfully more price inelastic and resilient to the memory-driven price hikes.
Power users are the leading indicator for every emerging product category tested.
The two segments buy on entirely different criteria, so a single value proposition won’t work.

IDC Survey: AI-Enabled Water Management Trends, 2026

Bjoern Stengel — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Survey discusses how water management is now a top ESG-AI priority for 22.5% of organizations, up from 18.9% in 2024 — a 19% relative increase, although growth is far from evenly spread. IDC Survey: AI-Enabled Water Management Trends, 2026, based on IDC’s 2026 AI and Sustainability Survey (n = 1,570; weighted) and IDC’s 2024 AI and Sustainability Survey (n = 1,390), finds that process manufacturing (43.7%), financial and investment services (40.4%), and accommodation and restaurants (34.6%) lead AI-for-sustainability investment in water management, while traditionally water-intensive industries — utilities and oil and gas — rank near the bottom of the 24 industries profiled.

Predictive AI is the leading modality across five of the six industry case studies detailed in the document, and AI investment concentrates upstream, in environmentally sustainable manufacturing and sourcing, rather than at the point of consumption. The document also profiles six industries in depth, examines buyer psychology and decision-maker ownership by sector, and provides vendor-selection guidance for technology providers targeting water-focused AI-for-sustainability buyers.

This document is an essential read for sustainability, ESG, and AI product strategy leaders assessing where water-management AI demand concentrates in 2026.

IDC Survey: U.S. AI MFP Survey Results — Customer Perception of AI MFP Value Proposition

Robert Palmer — Tue, 06 Oct 2026 04:00:00 GMT

This IDC Survey examines the results of IDC’s 2026 U.S. AI MFP Survey — Customer Perception of AI MFP Value Proposition. IDC conducted a U.S.–based survey of business decision-makers to assess the factors that shape how organizations evaluate the value of AI-enabled multifunction printers (MFPs).

A central component of this study is a MaxDiff (Maximum Difference Scaling) analysis, which quantifies the relative importance of MFP features and identifies the trade-offs organizations make when prioritizing device capabilities.

The survey explores preferences across areas such as AI capabilities, reliability, serviceability, security, cost, software ecosystems, and user experience. It also examines preference share modeling and buyer segmentation to better understand how priorities vary across different customer groups in the U.S. MFP market.