Application Development

Mirantis k0rdent Certified for High-Performance GPU Virtualization

Mirantis k0rdent Certified for High-Performance GPU Virtualization

AI, Application Development, Cloud, Enterprise IT Strategy, Infrastructure /

Mirantis has earned NVIDIA-Certified Hypervisors program validation for its k0rdent AI platform, demonstrating GPU virtualization performance within 5% of bare metal on NVIDIA GB200 NVL72 hardware. The certification supports multi-tenant AI factory deployments where flexibility and performance have historically been in tension. A unified VM and Kubernetes control plane is the platform’s broader architectural bet.

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AI Budget Accountability: FinOps, Tokenomics, and the Governance Gap

AI Budget Accountability: FinOps, Tokenomics, and the Governance Gap

AI, Application Development, Cloud, Enterprise IT Strategy, FinOps /

AI spend is materializing faster than the governance frameworks needed to manage it. The FinOps Foundation’s August content cluster addresses the convergence of FinOps, Tokenomics, and ITAM, but the harder problem is organizational: nobody clearly owns AI spending. ECI Research data from the public sector illustrates how far the compliance and accountability gap extends.

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Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

Everpure Q2 2027: Data Primacy and the Agentic Storage Bet

AI, Application Development, Cloud, Infrastructure, Machine Learning /

Everpure reported record Q2 revenue of $1.2 billion, up 38% year-over-year, backed by back-to-back hyperscaler design wins and a new Data Primacy architecture aimed at enabling agentic AI workloads. ECI Research analyzes what the results mean for enterprise IT buyers and government technology leaders navigating AI adoption. The compliance friction problem, not just the infrastructure gap, may determine how quickly the Data Primacy thesis converts to regulated-sector revenue.

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AI A/B Testing: Why Nondeterminism Changes Everything

AI A/B Testing: Why Nondeterminism Changes Everything

AI, Application Development, DevOps, Machine Learning, Platform Engineering, Software Development /

Generative AI breaks the foundational assumptions of traditional A/B testing, but Pearl EVP Rob Ellison argues that nondeterminism creates new experimental surface area rather than eliminating experimentation. ECI Research analyst commentary examines the LLM-as-judge pattern, its real limitations, and what evaluation infrastructure should look like in a compliance-constrained environment.

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Lumen Expands Multi-Cloud Gateway to 10M+ Business Locations

Lumen Expands Multi-Cloud Gateway to 10M+ Business Locations

AI, Application Development, Cloud, Infrastructure /

Lumen Technologies has expanded its Multi-Cloud Gateway service to cover more than 10 million U.S. business locations, extending consistent private cloud networking beyond its owned fiber footprint. ECI Research examines why the timing aligns with rising enterprise AI infrastructure investment and what it means for distributed network strategy. The move also signals a broader shift: software-defined control planes are becoming more valuable than physical footprint alone.

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Google Cloud AI Agent Cost Controls: What It Means for Enterprise FinOps

Google Cloud AI Agent Cost Controls: What It Means for Enterprise FinOps

AI, Application Development, Cloud, FinOps, Machine Learning /

Google Cloud has announced expanded billing options and native cost governance tools for enterprise AI agent workloads. The move addresses a growing CFO problem: agentic AI generates bursty, unpredictable spend that traditional budget models weren’t built for. ECI Research data shows cost reduction is the top zero-friction priority for cloud-native teams, making this announcement land at exactly the right moment.

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Airbyte Adds Semantic Search and Governance for AI Agents

Airbyte Adds Semantic Search and Governance for AI Agents

AI, Application Development, Enterprise Software, Infrastructure /

Airbyte has added semantic search and fine-grained entity policies to its Agents platform, enabling AI agents to retrieve enterprise knowledge by meaning while respecting existing security controls. The announcement targets two of the most common blockers for production agent deployments: incomplete context access and inadequate governance. ECI Research data shows data leakage and pipeline complexity are top concerns for enterprises scaling AI on modern infrastructure.

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Agentic AI Observability: Why QoS Is No Longer Enough

Agentic AI Observability: Why QoS Is No Longer Enough

AI, Application Development, CloudOps, Machine Learning /

Conviva is applying two decades of streaming experience intelligence to the challenge of monitoring AI agents in production. ECI Research examines why quality of service metrics fall short for agentic AI, and why experience observability is becoming a cost governance requirement, not just an operational nicety.

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Digital.ai and knowmad mood Expand Global Secure Software Delivery Partnership

Digital.ai and knowmad mood Expand Global Secure Software Delivery Partnership

Application Development, DevOps, Enterprise Software, Platform Engineering /

Digital.ai and knowmad mood have announced an expanded global partnership covering the full Digital.ai product portfolio across four major international markets. The deal pairs Digital.ai’s Agentic AI-powered platform with knowmad mood’s domain-specific implementation expertise and change management capabilities. ECI Research data shows the operational pain points this partnership is positioned to address are real and acute across enterprise platform engineering teams.

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