AI infrastructure

Mirantis k0rdent AI: Future-Proofing NVIDIA Infrastructure

Mirantis k0rdent AI: Future-Proofing NVIDIA Infrastructure

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

Mirantis has announced that its k0rdent AI platform provides day-zero support for NVIDIA Grace Blackwell and forward-declared readiness for Vera Rubin. The announcement centers on deep NICo integration and upstream open source collaboration with NVIDIA. For enterprise and neocloud buyers, the pitch is infrastructure portability across hardware generations without rebuilding provisioning workflows.

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Arcova Tackles Data Center Development Delays With End-to-End Model

Arcova Tackles Data Center Development Delays With End-to-End Model

AI, Application Development, Cyber Security, Infrastructure /

Arcova has announced an end-to-end data center development offering that consolidates site selection, engineering, compliance, and operations under one accountable team. The company claims an 18-month reduction in development timelines and elimination of $60–200M in transition costs generated by fragmented vendor coordination. ECI Research analyst coverage examines why the organizational model, not the technology, is the real bottleneck.

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Couchbase AI Data Plane: The Data Layer Agentic AI Needs

Couchbase AI Data Plane: The Data Layer Agentic AI Needs

AI, Application Development, Enterprise Software, Infrastructure /

Couchbase has announced general availability of the AI Data Plane, a unified data infrastructure layer that gives enterprise AI agents persistent memory, real-time context retrieval, and governed data access from cloud to edge. The release collapses fragmented vector, caching, and document stores into a single operational platform. ECI Research analyst coverage examines what it means for IT decision-makers and the developers building production agentic systems.

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Gimlet Labs Joins MLCommons to Define Agentic Inference Benchmarks

Gimlet Labs Joins MLCommons to Define Agentic Inference Benchmarks

AI, Application Development, DevOps, Infrastructure /

Gimlet Labs has joined MLCommons to contribute to new benchmarks for agentic inference through the MLPerf working group. The move addresses a real measurement gap: existing benchmarks weren’t designed for multi-step, multi-model agentic workloads. For enterprise buyers, standardized agentic inference benchmarks are a precondition for credible infrastructure procurement decisions.

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Enterprise AI Data Readiness: Why Data, Not Models, Blocks ROI

Enterprise AI Data Readiness: Why Data, Not Models, Blocks ROI

AI/ML, Application Development, Data Management, Infrastructure /

An estimated 60–80% of enterprise AI initiatives never reach production. The bottleneck isn’t the model or the GPU. It’s fragmented, ungoverned data scattered across hybrid and multi-cloud environments. ECI Research analyzes what this means for ITDMs, developers, and vendors competing in the AI data platform market.

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NAVER and NVIDIA Build Sovereign AI Infrastructure at Gigawatt Scale

NAVER and NVIDIA Build Sovereign AI Infrastructure at Gigawatt Scale

AI, Application Development, Cloud, Infrastructure /

NAVER and NVIDIA have announced a gigawatt-scale sovereign AI infrastructure expansion anchored by the NVIDIA DSX platform at the GAK Sejong data center. The partnership combines NAVER’s hyperscale operations and HyperCLOVA X model development with NVIDIA’s full-stack AI factory blueprint. ECI Research examines the competitive, economic, and technical implications for enterprise AI buyers globally.

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CData Connect AI: Governed Enterprise Data for AI Developers

CData Connect AI: Governed Enterprise Data for AI Developers

AI, Application Development, DevOps, Enterprise IT Strategy /

CData Software has launched three products that give developers governed, live access to enterprise SaaS systems through SQL, Python, the command line, and MCP. Connect AI Developer Edition is free and ships with the full enterprise feature set, including audit logging and scoped data access for AI agents. The releases directly address the data governance bottleneck stalling most enterprise AI projects.

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Everpure's Data Primacy Strategy: What It Means for AI Infrastructure

Everpure’s Data Primacy Strategy: What It Means for AI Infrastructure

AI, Application Development, Cloud, Enterprise IT Strategy, Events, Pure Accelerate 2026 /

At Pure Accelerate 2026, Everpure announced a major strategic expansion beyond storage into enterprise data intelligence and AI pipeline automation. The centerpiece is a three-layer Enterprise Data Cloud paired with a new NVIDIA co-designed product called Pure DataStream. ECI Research examines the competitive implications, the risks of deep platform dependency, and the unresolved governance challenges that will define the next round of enterprise AI infrastructure investment.

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Everpure's Data Primacy Bet: What It Means for AI Strategy

Everpure’s Data Primacy Bet: What It Means for AI Strategy

Agentic AI, AI, AI Governance, Application Development, Data Management, Events, Pure Accelerate 2026 /

Everpure used Accelerate 2026 to introduce a data primacy strategy, positioning its Universal Data Intelligence platform as the semantic layer between enterprise data and AI. The move reframes Everpure as a data management company rather than a storage vendor. ECI Research examines what this means for IT leaders, developers, and the competitive landscape.

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