Archive for September 2, 2026

Equinix Accelerates AI Inference for Enterprises with NVIDIA and Together AI

Posted in Commentary with tags on September 2, 2026 by itnerd

Equinix, Inc. today announced a significant expansion of its longtime collaboration with NVIDIA to deliver Equinix® Inference Exchange, a distributed AI inference program for global enterprises, alongside a new collaboration with Together AI.

As AI scales across models, providers and geographies, where inference runs is a strategic imperative that determines performance, cost and governance. Equinix Inference Exchange will give enterprises a faster path from AI experimentation to production, with secure, low-latency connectivity to the data, users and ecosystem they depend on.

This collaboration brings together NVIDIA’s validated Enterprise Reference Architectures with Together AI’s inference platform, supporting more than 200 open-source models. Delivered through Equinix’s global data centers, it will provide connectivity to clouds, networks and AI providers through Equinix Fabric®.

The solution will be announced today at Equinix Horizon, the company’s inaugural customer and partner event, alongside Equinix® Fabric One™, which will make it easier for enterprises to connect across globally distributed AI environments.

Where Inference Runs Matters

The pace of enterprise AI adoption is outrunning the infrastructure needed to support it. As enterprise AI moves from experimentation to production, inference increasingly needs to run closer to the users, data and applications it serves across clouds, models, providers and geographies. This shift requires enterprises to determine not only how to deploy AI infrastructure, but where it should run and how it connects to the data, applications and workloads it depends on.

Managing these distributed inference deployments introduces significant operational complexity at precisely the moment enterprises need greater control and visibility.

Equinix brings unmatched scale and ecosystem density to this challenge, with more than 280 data centers across 77 metros, 230 cloud on-ramps and over 10,500 businesses interconnected on its neutral exchange. Eight of the top 10 AI model providers and nine of the top 10 AI clouds are deployed with Equinix, underscoring the company’s position at the center of the AI ecosystem.

Built for Choice and Flexibility

Together AI is the latest addition to Equinix’s expansive AI ecosystem, bringing open-model flexibility and choice to enterprises deploying AI at scale. The solution combines three complementary layers designed to simplify distributed AI inference:

  • Equinix provides the infrastructure foundation, including power, advanced cooling and day-two operations, connected through Equinix Fabric to the clouds, networks and AI providers that inference depends on.
  • NVIDIA anchors the build with its Enterprise Reference Architectures and AI infrastructure purpose-built to maximize AI factory throughput and minimize token cost.  
  • Together AI runs the platform on top, supporting both multitenant deployments for shared efficiency and dedicated single-tenant environments for workloads that require dedicated capacity.

Built on Equinix Fabric, the solution will connect to inference providers across major metros worldwide, cutting time-to-first-token. It also will connect to an expansive ecosystem of clouds, networks and AI providers, reducing deployment complexity.

Designed for Modern Enterprise Inference

The solution aims to support a broad range of enterprise inference scenarios, including:

  • Metro edge inference: For organizations that need inference running closer to users and data, enabling lower-latency AI experiences while leveraging the security, operational scale and global reach of Equinix.
  • Open model migration: For enterprises moving workloads from closed, proprietary models to open-source alternatives to control cost and avoid lock-in, the solution will provide a direct, low-friction path to run that migration in production, with Together AI’s open-model platform reachable over the same interconnected fabric enterprises already use to reach their other providers.
  • Sovereign AI: For enterprises operating in regulated industries or specific geographies, the solution will enable AI workloads to run in locations that support data residency and sovereignty requirements, providing a simpler path to deploying AI at scale while maintaining control over where data and inference are processed.

Equinix Inference Exchange will be available starting in Q1 2027.

CPP Investments and Equinix Complete atNorth Acquisition

Posted in Commentary with tags on September 2, 2026 by itnerd

atNorth, the leading Nordic high-density colocation and built-to-suit data center provider, today announced that Canada Pension Plan Investment Board (CPP Investments) and Equinix, Inc. (Nasdaq: EQIX), the world’s digital infrastructure company®, have completed the acquisition of atNorth.

atNorth’s footprint spans across all five Nordic countries, with eight operational data centers and several new projects underway across the territory. This includes sites under development in Sweden, Finland, Norway and Denmark, alongside expansions to existing sites and a strong portfolio of additional development projects.

Together, the operating portfolio and development pipeline provide atNorth with significant capacity to serve growing demand from global enterprise and hyperscale customers across AI, cloud and high-performance computing workloads, supported by advanced cooling technologies, renewable energy integration and heat reuse solutions.

The US$4 billion acquisition, by CPP Investments and Equinix, builds on CPP Investments’ global experience in data center investing and underscores the strategic importance of the Nordics as a leading hub for AI-ready digital infrastructure. atNorth will continue to operate independently under its existing brand, with the backing of its shareholders to accelerate development of its pipeline and expand capacity across the Nordics. Equinix brings complementary digital infrastructure expertise and global customer relationships to support atNorth’s continued growth.

Given the strength of the opportunity and confidence in the partnership since the initial announcement, Partners Group, on behalf of its clients, has elected to re-invest and acquire a 10% stake in atNorth. As a result, CPP Investments will hold a c. 51% controlling stake committing US$1.3 billion, alongside Equinix’s c. 34% committing US$895 million and Partners Group’s c. 10% committing $260 million. The remainder will be held by atNorth’s internal stakeholders, who have chosen to roll over a substantial portion of their equity. The transaction involves a financing package of US$4.1 billion (€3.6 billion), underwritten by a group of European and Canadian lenders to support atNorth’s continuous growth, fund the transaction, as well as the capital required to fund the expansion of the business.

Langflow RCE now under active exploitation

Posted in Commentary with tags on September 2, 2026 by itnerd

Attackers are actively exploiting CVE-2026-0768, a critical unauthenticated RCE flaw in Langflow’s code validator, running credential-harvesting operations that pull OpenAI API keys and AWS access straight out of compromised agentic AI infrastructure, with exploitation clocked within roughly 20 hours of disclosure.

Gidi Cohen, CEO and Co Founder, Bonfy Had This To Say:

“Two critical vulnerabilities, one week, and honestly the wildest part isn’t even the exploitation, it’s that one of them got “fixed” and the fix didn’t work.

VulnCheck tested a patched Rails server (8.1.3.1) assuming the hole was closed. It wasn’t. The libvips file-read got blocked, sure, but the actual RCE mechanism underneath it — a Marshal deserialization gadget, still fires with a valid signature. So the patch shut one door and left the house wide open. Worth remembering next time “patched” shows up in a report and everyone exhales.

Then there’s Langflow. CVE-2026-0768 isn’t some clever zero-day, it’s unvalidated input leading straight to root access. Not fancy. But look at what’s sitting next to it once you’re in: superuser flags, OpenAI keys, AWS credentials, SSH access. Attackers are literally querying for LANGFLOW_SUPERUSER and OPENAI_API* by name within hours of exploiting it. That’s not someone poking around and getting lucky. That’s a playbook, because someone already knows exactly what credentials live in these environments.

And this keeps happening. 12 vulnerabilities exploited since 2025, 15,000+ successful hits across just three CVEs. The attackers aren’t smash-and-grab types either — one crew disabled audit logging specifically so nobody could see what they did next before dropping their payload. That’s patience, not luck.

So the real question is pretty simple: do you actually know what’s exposed in your AI stack right now, or would you find out the same way we all just did, from a threat intel report after the fact?”

You have to test and keep testing. Because you can never count on any fix working properly.

Catalyst by Zoho Solves The Shortfalls of Moving from Coding to Production With an Agent-Ready, Full-Stack Cloud and Built-In Governance

Posted in Commentary with tags on September 2, 2026 by itnerd

Zoho Corporation, a global technology company, today announced major enhancements to Catalyst by Zoho, its Platform-as-a-Service (PaaS), now weaving agentic development capabilities directly into the coding environments developers already use. Additions include Agent Skills, a non-interactive command-line interface (CLI), and Model Context Protocol (MCP) support to Catalyst’s platform, along with new integrations for agentic AI coding assistants including Anthropic’s Claude Code and OpenAI’s Codex. To enhance accessibility and empower future developers, the platform is also offering a free student program that includes full-stack hosting, functions, database, and AI tooling.

Catalyst by Zoho bridges the gap between code generation and reliable deployment by giving agentic AI coding assistants a structured, deterministic way to build and deploy applications. Developers can use the AI coding assistants of their choice while Catalyst provides the underlying full-stack serverless infrastructure and controls, eliminating the need to stitch together multiple cloud services and vendors. This approach simplifies development and future iterations while reducing operational complexity,positioning Catalyst as a reliable partner as technical capabilities and customer needs evolve.

Turning AI-Generated Code Into Production-Ready Applications

AI coding assistants can generate code quickly, but getting it to production requires deep platform knowledge, cloud services, and deployment workflows. Catalyst brings these together on a single serverless full-stack cloud, offering AI coding assistants what they need to build, test, and deploy applications. These capabilities make this possible:

Catalyst Agent Skills gives coding assistants the context they need to understand Catalyst services, architecture, and recommended development patterns. Rather than relying on the model to determine how Catalyst should be used, the Skill guides the assistant toward the appropriate capabilities and workflows. By surfacing only the capabilities relevant to the task, they help assistants make the right application and service choices, optimize token use, and generate accurate, verified output even with lighter models.

The non-interactive CLI allows AI coding assistants to execute multi-step workflows in Catalyst from start to finish without requiring human input at every step. This reduces manual intervention and helps developers move faster from coding to deployment.

The Catalyst MCP server provides AI coding assistants direct access to Catalyst capabilities from the developer’s existing environment. Actions such as creating a database table or adding a column can be performed directly from VS Code, Claude Code, Cursor, or any AI IDE without switching to the Catalyst console, keeping development in one workflow and accelerating delivery.

Orchestration, built into the Skill, ties the three capabilities together. When an AI coding assistant faces a decision about how to execute a request, the Skill routes it deterministically down the CLI or MCP path rather than leaving that choice to the model. This approach lowers the developer’s cognitive load, reduces the risk of incorrect tool selection, and helps produce more reliable, production-ready applications.

Built on Zoho’s Platform with Humans in Mind

While each service may work well independently, managing a fragmented stack can add operational complexity and make security, privacy, and governance harder to maintain. Applications built on Catalyst run inside Zoho’s own data centers and inherit Zoho’s robust security infrastructure, including DDoS protection, SOC compliance, regular vulnerability assessment and penetration testing (VAPT), a web application firewall, and more.

Human oversight is built into the deployment process rather than added afterward, giving organizations greater control as AI becomes part of application development:

Decoupled environments keep development and production separate. Code moves to production by manual promotion only—ensuring the AI agent never touches production, eliminating the risk for error.

Scoped collaborator controls define who—or what—can participate in development and what actions they can perform.

Full audit trails provide records to assist with oversight, including application logs, platform logs and MCP tool-call logs. From this data, developers can track precisely what actions the AI agent took, and when. Every change after launch is versioned, attributable, and reversible.

What’s Next

Catalyst is advancing towards a new era of agentic software development, where developers can collaborate with increasingly capable AI agents to execute sophisticated workflows across the software development lifecycle—all on a governed, full-stack cloud foundation. Forthcoming changes include multi-agent hosting, AI tool connectors, agentic SDLC, and more.

Disclaimer: All trademarks, product names, and company names cited herein are the property of their respective owners.

Pricing and Availability

Catalyst by Zoho offers a monthly free tier for developers to explore the platform, plus $250 in free credits for users who want to go deeper over a six-month period. Catalyst is available for immediate use.

Catalyst continues to offer a straightforward pay-as-you-go pricing model, with every feature bearing a per-unit cost rather than a license fee layered on top of usage. Developers get full visibility into usage from the Catalyst console and can set budget alerts and ceilings to prevent unexpected bills. A structured subscription option is also available for teams that prefer predictable costs.

Catalyst remains completely free for students, no subscription or credit card required to deploy non-commercial applications.

Zoho’s Privacy Pledge

Zoho respects user privacy and does not run on an ad-revenue model in any part of its business, including its free products. The company owns and operates its own data centers, giving it full oversight of customer data privacy and security. More than 150 million users worldwide, across more than 1 million paying organizations, rely on Zoho to run their businesses, including Zoho itself. For more information, visit zoho.com/privacy-commitment.html.

SIOS Survey Reveals Enterprises Are Struggling to Keep Mission-Critical Applications Resilient Despite Widespread HA/DR Investments

Posted in Commentary with tags on September 2, 2026 by itnerd

SIOS Technology Corp. today announced the results of its 2026 State of Application Resilience Survey, revealing that despite widespread adoption of HA/DR technologies, most enterprises continue to experience downtime, struggle with increasingly complex hybrid infrastructures, and lack confidence in their existing resilience strategies.

The survey gathered responses from more than 250 IT leaders across North America and the United Kingdom, representing predominantly large enterprises across industries including healthcare, financial services, manufacturing, retail, government and technology. The research examined how organizations protect mission-critical applications from downtime and disasters while identifying emerging priorities for HA/DR investments.

Key findings include:

  • Downtime remains a persistent problem. Seventy-six percent of organizations experienced at least one outage lasting more than 10 minutes over the past year despite having HA/DR protection in place, highlighting the limitations of many existing failover strategies.
  • Hybrid and multicloud environments have become the norm. Nearly seven in ten organizations now run critical applications across hybrid infrastructures, while only 2% operate exclusively on-premises, increasing the complexity of maintaining application availability across diverse environments.
  • Organizations lack confidence in their resilience strategies. Only about half of respondents said they were satisfied with their current HA/DR solutions, while many remained neutral or dissatisfied, suggesting existing solutions are falling short of enterprise expectations.
  • Disaster recovery testing remains inconsistent. Only 7% of organizations perform monthly DR testing, while one-third test just annually and 22% don’t know how frequently testing occurs, creating significant recovery risk.
  • Cybersecurity is reshaping HA priorities. Seventy-two percent of respondents either already use or would consider using HA clustering to streamline patch management, reflecting growing recognition that application availability and cyber resilience are increasingly interconnected.
  • Complexity has overtaken cost as the biggest challenge. Configuration and management complexity ranked as organizations’ top HA/DR challenge, followed closely by integration across increasingly heterogeneous IT environments.
  • Investment priorities continue to rise. Improving disaster recovery protection ranked second only to cybersecurity among planned IT investments over the next 18 months, demonstrating that organizations are actively budgeting to strengthen resilience.

The survey also found that Windows remains the dominant operating system for mission-critical applications, but organizations increasingly manage mixed Windows and Linux environments, reinforcing the need for cross-platform HA solutions. Respondents also indicated growing interest in application-aware clustering technologies that can simplify operations while improving resilience across heterogeneous infrastructures.

For more details, interested parties can download the complete 2026 State of Application Resilience Survey at: https://bit.ly/4x0smfY