Hybrid Cloud & Infrastructure

The Convergence of Storage and Data: Evolving Infrastructure for Cloud and AI

Data is the lifeblood of a modern business, and the underlying storage technology plays a vital role in delivering it. The storage industry is continually adding more data and application-aware capabilities and services to what was historically a box of storage devices with a network attached. The requirements for cloud applications, and now for AI applications, have blurred the line between storage and data, with more software-defined capabilities bringing innovations as fast as new hardware platforms and capabilities.  

When working on strategy, product, marketing, and sales initiatives, consider intelligence from our expert analysts – planned deliverables for 2026 include:

  • Analyst Insight Report – an analyst report on critical issues facing partner leaders  
  • Futurum Signal Report Access – any Signal Report published in the relevant practice area

The Latest Insights on Hybrid Cloud & Infrastructure

Packer v1.16.0 Elevates Security with SLSA Provenance for Machine Images

Packer v1.16.0 Elevates Security with SLSA Provenance for Machine Images

HashiCorp's Packer v1.16.0 introduces native SLSA provenance attestations, addressing a critical vulnerability in cloud infrastructure where compromised machine images silently [...]
Unisys and Dudley Building Society Forge New Path in Mortgage Operations

Unisys and Dudley Building Society Forge New Path in Mortgage Operations

Unisys and Dudley Building Society expand their partnership to modernize mortgage operations through Mortgage-as-a-Service and private cloud capabilities, positioning the [...]
CoreWeave Q2 FY 2026 AI Demand Drives Pricing and Capacity Growth

CoreWeave Q2 FY 2026: AI Demand Drives Pricing and Capacity Growth

Futurum Research analyzes CoreWeave’s Q2 FY 2026 earnings, focusing on AI cloud demand, managed inference growth, power expansion, and raised [...]
From Blaize to NVIDIA: Why Is AI Infrastructure Converging on Indonesia?

From Blaize to NVIDIA: Why Is AI Infrastructure Converging on Indonesia?

Brendan Burke, Research Director at Futurum, shares his insights on 100 days that put Blaize, CoreWeave, NVIDIA, Nokia, Firmus, and [...]
Who Decides Which Model Runs NVIDIA Would Like a Say

Who Decides Which Model Runs? NVIDIA Would Like a Say

Futurum’s AI Platforms practice examines NVIDIA Nemotron 3.5 Lightning and NeMo Switchyard. [...]
NETSCOUT Q1 FY 2027 Service Assurance and DDoS Capacity Expand

NETSCOUT Q1 FY 2027: Service Assurance and DDoS Capacity Expand

Futurum Research analyzes NETSCOUT’s Q1 FY 2027 earnings, focusing on Service Assurance growth, Omnis traction, Arbor Cloud capacity, and FY [...]

The Latest NEWS

Enterprises Reject One-Size-Fits-All GenAI Infrastructure
December 19, 2025

Enterprises Reject One-Size-Fits-All GenAI Infrastructure

Nick Patience, VP & AI Platforms Practice Lead at Futurum, shares his insights on new Futurum Research, which reveals a GenAI split between cloud (22.4%) and hybrid (20.8%), while GPU...
Decision Maker Survey: Sharp Increase in AI Compute Services Spending for 2025
April 25, 2025

Decision Maker Survey: Sharp Increase in AI Compute Services Spending for 2025

Richard Gordon, VP & Practice Lead for Semiconductors at The Futurum Group, analyses the 1H 2025 AI Chipsets and Accelerators for Data Centers decision maker survey, which highlights trends and...

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The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

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If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

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