Render eliminates sandbox time limits to challenge Vercel's AI infrastructure play
The platform now allows indefinite sandbox runtimes and adds durable workflows for long-running AI agents, positioning itself against Vercel's 24-hour session cap and AWS's complexity.

Render is positioning itself as a competitor to Vercel by introducing AI sandboxes capable of running without time restrictions, paired with fresh capabilities for orchestrating extended agent workflows and collaborative file storage.
The announcement, made Wednesday, eliminates Render's former 30-day continuous runtime ceiling on its paid workspace tier. Vercel restricts individual sandbox sessions to 24 hours maximum, whereas Render's environments can go dormant during idle periods and resume with their state—files, memory, and active processes—preserved intact.
Anurag Goel, Render's founder and chief executive, previously worked at Stripe as an engineer and head of risk. He created Render as a simpler alternative to AWS, sidestepping much of the infrastructure overhead. His current strategy extends this philosophy to AI agents by merging sandboxes, persistent workflows, and shared storage with the underlying applications and data systems they require.
Several components remain incomplete. Credential brokering will roll out initially to a limited set of customers, sandbox private networking is still under construction, and Render has not yet resolved how its shared storage will manage simultaneous modifications to identical files.
Sandboxes that resume mid-task
Through this release, Render sandboxes maintain continuous operation during scenarios such as multi-day code migrations or when an agent validates an entire system.
The critical distinction emerges when a sandbox must resume operations. Vercel enforces a 24-hour ceiling on uninterrupted sessions, and although persistent sandboxes can restart, their active processes begin from scratch.
Render employs an alternative model. According to the company, a sandbox "suspends when it goes idle and wakes on the next command with its files and memory intact, so the agent picks up mid-task instead of rebuilding its state."
Credentials that never enter
A key security component of this rollout is credential brokering, which injects credentials into an agent's outbound requests as they exit the sandbox, ensuring secrets remain outside the environment.
When asked whether this capability distinguishes Render from Vercel—which already provides scoped credentials for agents via its Connect offering and has been advocating for short-lived credentials among its partners—Render declined to claim superiority.
Render stated that credential brokering "is not a competitive differentiator" and "is rapidly becoming table stakes," describing it as "a feature we believe users of Render will appreciate having access to, rather than one users of other platforms will migrate for."
According to Render, the company is "turning credential brokering on for small groups of customers first to make sure the experience meets our quality bar" before broadening availability in the coming weeks. All beta developers gain access to outbound controls capable of "block all traffic from a sandbox or allow only the domains you list."
Render's core thesis centers on the ecosystem surrounding the sandbox rather than the sandbox itself. The platform argues that developers select Render instead of Vercel because agents typically operate within a broader system and execute resource-intensive background operations requiring persistent API connections and database state, alongside background workers, scheduled jobs, and the database infrastructure itself.
Compute flexibility, less complexity
Vercel originated with frontend deployment and serverless functions, where it maintains strength; Render permits these workloads but contends that Vercel's "underlying 'fluid compute' model is inflexible and inefficient for running the compute-heavy backend workloads that agentic applications depend on," noting that individual functions "tops out at 2 CPUs and 4 GB of RAM," a constraint specific to Vercel Functions rather than its sandboxes.
Render states it "gives developers the compute flexibility of AWS but takes the complexity off their plate." Cristian Herrera, CTO at OCMI, which evaluated Vercel while transitioning away from AWS, remarked that "Vercel is a different story," emphasizing that "if you need to do anything outside of Next.js, you're fighting the platform."
Vercel acknowledged receiving The New Stack's request for comment but had not delivered a statement before publication.
Workflows that survive crashes
Render's Durable Workflows enable developers to continue extended jobs following a failure without restarting from the beginning. Developers can construct workflows using Python or TypeScript, with individual tasks permitted to run for up to 24 hours. Render "saves the result of every step as it finishes," according to the company. Should a process fail, the workflow can continue on different infrastructure using those preserved results, ensuring "model calls, payments, and database writes that have already succeeded don't run again."
A potential vulnerability exists if a process crashes after a payment processes but before the result is recorded. Render advises implementing idempotency keys to guard against duplicate payments or database operations. Shared Filesystems grant sandboxes and workflow tasks access to identical persistent files, persisting even after the compute resources that generated them terminate.
Render describes the feature as intended for "many agents reading the same repo or dataset, with each one writing its own output." However, managing "concurrent writes to the same file, including locking and conflict resolution, is something we're still studying," the company stated.
According to Render, AWS and Vercel represent "the two platforms new users most often tell us they're leaving today, citing complexity and cost as major factors." Render has not yet disclosed figures on the volume of customers who have switched from Vercel.