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Tensorlake provides Lightspeed AI native sandboxes with stateful compute for durable agentic loops and isolated tool/code execution. It allows users to pause mid-run and resume later in the exact state they left.
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About
Tensorlake offers Lightspeed AI native sandboxes designed for durable agentic loops and isolated tool/code execution. Its core functionality includes stateful compute, allowing users to pause and resume operations in the exact state they left them. The platform provides dynamic resource allocation, enabling users to specify CPU, memory, and disk on every API call without predefined VM templates. Key features include the ability to snapshot, clone, and replicate running sandboxes, as well as live-migrate named sandboxes across hosts. Tensorlake supports customizable runtimes for various needs, from minimal sandboxes for latency-sensitive tool calls to environments with systemd for Docker and Linux software. It also offers orchestration capabilities for agents, including application endpoints, distributed fan-out, and durable primitives for long-running agentic flows. The platform emphasizes security with Firecracker isolation and compliance with SOC 2 Type II and HIPAA standards.
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Pricing & Plans
Freemium · Usage-based · Enterprise
Free, Pro, and Enterprise plans available. Check tensorlake.ai for current pricing.
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