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Classiq's Fault Tolerance Engine Brings Hardware Reality into Quantum Application Design

Heather West, PhD — Thu, 08 Oct 2026 04:00:00 GMT

Classiq's Fault Tolerance Engine brings architecture-aware resource estimation into the quantum application development workflow, letting developers assess the physical resources and error-correction requirements of a logical program. As fault tolerance turns hardware constraints into a design-stage concern, IDC believes tools that let developers and enterprises assess feasibility early will shape which quantum applications are worth pursuing.

Cribl Expands Its Competitive Footprint; What’s Next for Customers?

Katie Norton, Stephen Elliot, Michelle Abraham — Thu, 08 Oct 2026 04:00:00 GMT

Cribl has been, and continues to grow, top-line revenue over 40%, expanding into competitive markets such as SIEM while enhancing its core Platform with new capabilities for data tiering, dashboard performance, tokenomics, integrations, governance, and compliance. This two-pronged growth strategy is paying dividends as customer reaction has been positive; a critical future requirement is for continued Platform openness. Customers must understand Cribl's long-term vision as an AI platform for Telemetry and its rising potential in adjacent markets.

DARPA's Quantum Benchmarking Initiative Reaches Stage C: From Roadmaps to Hardware Verification

Heather West, PhD — Thu, 08 Oct 2026 04:00:00 GMT

DARPA’s advancement of Atom Computing, Diraq, IBM, and IonQ to Stage C of the Quantum Benchmarking Initiative (QBI) shifts the central question in quantum computing from whose roadmap is most compelling to whose hardware holds up under independent government testing. Because QBI is hardware focused, however, Stage C is not a certification of commercial success, and IDC believes the software ecosystem that makes that hardware useful will matter just as much to the vendors, buyers, and investors weighing which approaches can deliver utility-scale value.

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.

Park Place Technologies' ParkView Asset Intelligence and IDC Point of View

Rob Brothers — Thu, 08 Oct 2026 04:00:00 GMT

With AI-assisted support being the No. 1 feature customers are looking for in partners (Source: IDC Customer Satisfaction and Value Study, August 2026) Park Place's ParkView platform is innovatively operationalizing device maintenance-history into a scored, AI-driven decision tool rather than a backend input to a service contract — moving Park Place from a reactive repair maintenance provider to a proactive AI data driven partner.

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.”

NetApp INSIGHT 2026: Novus Extends ONTAP to AI Factory Scale, with PEAK:AIO as the Metadata Bet Behind It

Jason Echols, Carol Sliwa, Natalya Yezhkova, Phil Goodwin — Wed, 07 Oct 2026 04:00:00 GMT

At INSIGHT 2026, NetApp paired the launch of Novus with its planned acquisition of PEAK:AIO, a move meant to scale metadata and maximize GPU utilization in the largest clusters. On the enterprise side, NetApp opened its AI Data Engine to storage from other vendors, extending its reach across the enterprise data estate on the bet that finding and governing data in place will improve AI project success rates.

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.