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WHTop → 📋 News → Equinix Expands Colocation Role With Distributed AI Inference
Equinix Expands Colocation Role With Distributed AI Inference
📅 - Equinix will launch a distributed enterprise inference service with NVIDIA and Together AI in early 2027, placing open-model AI workloads across its global data center footprint. The move targets a growing enterprise problem: inference performance, cost, governance, and data location are colliding as companies move from AI experiments into production systems spanning clouds, networks, users, and jurisdictions.
The service, called Equinix Inference Exchange, combines NVIDIA Enterprise Reference Architectures with Together AI software supporting more than 200 open models, while Equinix provides the physical infrastructure, cooling, operations, and network fabric. The architecture can [...][... Check source for end of article ...]
📅 - AWS Targets VMware Storage Migration With NetApp Automation - Amazon Web Services is bringing NetApp storage into AWS Transform, giving enterprises a more automated route for moving VMware workloads and attached block storage into Amazon FSx for NetApp ONTAP. The change folds storage into coordinated migration waves with compute and networking, reducing separate tooling while steering more infrastructure directly toward managed Amazon Web Services storage services.
The change matters because storage has remained one of the more awkward parts of large VMware migrations. Compute can be rehosted relatively quickly. Networking can be mapped and rebuilt. Storage often drags a separate toolchain, replication process, testing cycle, and cutover plan behind [...]
📅 - Empirik.ai Emerges From Stealth With $21M for Infrastructure Change AI Agent - Empirik.ai has emerged from stealth with $21 million in funding to automate infrastructure change, targeting the widening gap between AI accelerated software development and still largely manual operations. Its system models live environments, evaluates the impact of proposed changes before execution, and can block risky actions across cloud, on premises, Kubernetes, virtual machines, identity, pipelines, and enterprise SaaS infrastructure.
The premise is easy enough to understand. Coding agents can now generate and modify software faster than most infrastructure teams can review tickets, inspect dependencies, run change boards, and approve deployment steps. Empirik.ai wants to insert an [...]
📅 - AI Clusters Shift Network Spending Toward Back-End Fabrics - AI infrastructure spending crossed a notable line in the second quarter of 2026: revenue from switches connecting accelerators inside AI back-end networks exceeded sales of front-end data center switches for the first time. The shift puts high-speed fabric economics, supply availability, and vendor positioning closer to the center of infrastructure purchasing decisions across hyperscale and enterprise deployments.
Dell'Oro Group says the crossover happened only three years after AI back-end networking emerged as a distinct spending category. That speed is more important than the symbolic ranking. Front-end networks serve conventional server, storage, user, and application traffic across [...]
