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F5 GTC 2026 and AppWorld 2026 Announcements – F5 Delivers Solutions for Improved “Tokenomics”, AI Infrastructure, and Application Delivery

Paul Nicholson — Thu, 26 Mar 2026 04:00:00 GMT

F5’s recent announcements at NVIDIA GTC 2026 and F5 AppWorld 2026 advances its capabilities across networking for AI and AI for networking, delivering both platform and advanced modular features. The integration of BIG-IP Next for Kubernetes with NVIDIA BlueField-3 DPUs enables enterprises and cloud providers to optimize token economics, maximize GPU utilization, and scale AI workloads efficiently— enhancing token throughput and time to first token. F5’s new AI-driven and orientated solutions, including F5 Insight for ADSP and certified Red Hat OpenShift Operators, empower organizations with deep observability, actionable intelligence, and streamlined security controls. This approach can reduce AI infrastructure costs, accelerate productivity, and support rapid innovation, positioning F5 to offer secure, scalable, and responsive AI-powered digital experiences across distributed environments.

From Modality Shift to Security Urgency: Google Signals a New Phase in Quantum Computing

Heather West, PhD, Phil Goodwin — Thu, 26 Mar 2026 04:00:00 GMT

Google’s simultaneous expansion into neutral atom quantum computing and its call for PQC migration by 2029 suggest that the company is no longer planning for distant quantum disruption, but actively preparing for compressed timelines and faster paths to scale. This dual signal points to a potential inflection point where breakthroughs in hardware and error correction could accelerate the arrival of quantum-driven cybersecurity risks, forcing both vendors and enterprises to act sooner than anticipated. Organizations that fail to heed this accelerated timeline for post-quantum readiness place themselves at significant additional risk from quantum-enhanced cyber attack.

IDC Survey Spotlight: Are Communications Service Providers Capitalizing on Their High-Performance Network for the Surge in Edge AI Adoption?

Ajeet Das — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight presents the evolving use cases for edge AI and organizations' top criteria for supporting AI workloads at the edge. It contains data from IDC's January 2026 Worldwide AI in Networking Special Report based on responses from 330 enterprises worldwide.

"As edge AI maturity advances, the selection criteria for enterprise solutions are shifting away from basic hardware toward high-performance connectivity and data offloading. The market is recognizing that 'intelligence at the edge' is only as effective as the network supporting it. In 2026, the winners in the space — particularly in etlecom and retail — are those prioritizing low-latency wired and wireless integration to handle the specialized AI workloads that on-device compute cannot manage alone." — Ajeet Das, research director, Telecom Infrastructure at IDC

IDC Survey Spotlight: How Does AI Maturity Impact the Adoption of Edge AI?

Brandon Butler — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight highlights research from IDC's November 2025 AI in Networking Survey, which is a global survey of network practitioners exploring two major angles of AI in networking: networking for AI, or how network infrastructure must evolve to support AI workloads; and AI for networking, or how AI-powered capabilities are transforming the engineering and operations of the network. This IDC Survey Spotlight examines the rapid expansion of edge AI, especially as organizations advance in their overall AI maturity.

"Edge AI adoption is closely tied to broader AI maturity, and as organizations scale AI initiatives, network infrastructure will become a critical enabler. Enterprises will need network architectures that can support unpredictable, latency-sensitive AI workloads and increasingly distributed inference environments with security built in," says Brandon Butler, senior research manager, Enterprise Networks at IDC.

IDC Survey Spotlight: What Comes After Adoption to Drive FinOps at Scale?

Jevin Jensen — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey Spotlight examines the evolving role of FinOps in large enterprises and how expectations for AI capabilities within FinOps tools are changing. As FinOps adoption reaches new levels, shifts in how organizations evaluate supporting technologies signal a broader transition in market priorities. These developments highlight a move toward greater operational discipline and raise important questions about how vendors should position and evolve their FinOps strategies.

IDC Survey: Power and Cooling as Strategic Priorities for Global Datacenter Operators

Olga Yashkova — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey report presents results from IDC's Datacenter Facilities and Operations Survey, 2025, comprised of responses from 320 datacenter facilities owners and operators worldwide. The study examines how organizations that own/lease and operate datacenter facilities are planning for 2026–2028, including rack density evolution and priorities for power and cooling to deliver new capacity, as well as anticipated capex and opex required to support datacenter expansion, modernization, and ongoing operations.

IDC Survey: The ESG Landscape — Assessing Data Integration in Major Gulf Economies

Eren Eser — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Survey analyzes ESG data management maturity and plans for engaging external suppliers to support ESG data management tasks in major Gulf economies. The Gulf region remains at a very early stage of ESG maturity, with most organizations still focused on foundational compliance and reporting requirements, and still far from systematically leveraging ESG data to inform strategic business decisions. This creates a massive opportunity for technology providers to move beyond basic reporting tools, offering integrated, frictionless platforms that transform raw sustainability metrics into a scalable competitive advantage.

IDC’s Worldwide Semiannual Refurbished MFP and Printer Taxonomy, 2026

Wed, 25 Mar 2026 04:00:00 GMT

This IDC study provides a comprehensive overview of and definitions for the refurbished MFP and printer market. The definitions represent the scope of IDC’s refurbished MFP and printer hardware research. This taxonomy outlines market segmentations and measurement methodologies for the product, including classification by product category, product/product detail, vendor, geography, and revenue metrics.

“IDC’s worldwide refurbished MFP and printer taxonomy presents a standardized and detailed framework of the refurbished MFP/printer market,” said Phuong Hang, director, Worldwide Imaging Trackers at IDC. “The taxonomy document serves as a guideline to better understand and use IDC’s refurbished hardware (MFP/printer) research.”

Rewiring the Enterprise: NTT DATA’s Networking Strategy for the AI Era

Len Padilla — Wed, 25 Mar 2026 04:00:00 GMT

NTT DATA is repositioning networking as a critical control layer for AI-driven transformation, moving beyond traditional connectivity toward AI-aware, integrated infrastructure. At Horizons 2026, the company highlighted how legacy network architectures constrain scalable AI, requiring redesign for distributed processing, real-time data flows, and embedded security. Networking is increasingly linked to sovereignty, data governance, and platform-based operations, with AI-driven automation and observability enhancing performance and resilience. While the strategy is aligned with market direction and strengthens NTT DATA's full-stack positioning, its success will depend on the company's ability to industrialize offerings and demonstrate repeatable, large-scale outcomes across industries and geographies.

Tech Buyer Survey Spotlight: Will AI Workload Deployments Drive Significant Bandwidth Demand Within Datacenters Over the Next Year?

Paul Nicholson — Wed, 25 Mar 2026 04:00:00 GMT

This IDC Tech Buyer Survey Spotlight examines how AI workload deployments are accelerating bandwidth demand within datacenters as organizations expand infrastructure to support growing data processing and inference needs. While cloud environments remain important, many enterprises, particularly those in data-sensitive industries, are also investing in on-premises AI infrastructure and targeted network upgrades. Ensuring sufficient bandwidth and selecting the right networking architectures are becoming critical priorities to support evolving AI workload requirements.