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.
Equinix Accelerates AI Inference for Enterprises with NVIDIA and Together AI
Posted in Commentary with tags Equinix on September 2, 2026 by itnerdEquinix, 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:
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:
Equinix Inference Exchange will be available starting in Q1 2027.
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