Tencent AI(@TencentAI_News):We open-sourced CubeSandbox for a reason: so builders tell us what's broken. They did: → Cross-node pause/resume. Pause on one node, resume on another. Snapshot restore and stability both improved. → Component failure used to take the cluster down. CubeMaster multi-replica, template service split out. No single point of failure left on the core path. → LLM timeout: 60s proxy cutoff was killing slow-first-token models. Now 2h. Next thing builders told us @CubeSandbox : pause/resume memory cost is too high, on it.

2026.09.14 10:28

We open-sourced CubeSandbox for a reason: so builders tell us what's broken. They did: → Cross-node pause/resume. Pause on one node, resume on another. Snapshot restore and stability both improved. → Component failure used to take the cluster down. CubeMaster multi-replica, template service split out. No single point of failure left on the core path. → LLM timeout: 60s proxy cutoff was killing slow-first-token models. Now 2h. Next thing builders told us @CubeSandbox : pause/resume memory cost is too high, on it.

Tencent AI@TencentAI_News

2026.04.21 08:47

🥳We just open-sourced Cube Sandbox! An instant, concurrent, secure and lightweight sandbox runtime for AI Agents. Built with RustVMM and KVM, it achieves the perfect balance of security and performance: → Sub-60ms cold start (2.5-50x faster) → Under 5MB memory overhead per instance (6x less memory) → Dedicated kernel per sandbox (hardware-level isolation) → Thousands of concurrent sandboxes per node → 100% E2B SDK compatible. Swap the endpoint, zero code changes Full-stack capability, one-click deployment. 3 steps to spin up your own private AI sandbox 👇 🔗