The perpetual sandbox platform
Blaxel lets you keep infinite, secure sandboxes on automatic standby while co-hosting your agents for near instant latency.
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> Truly intelligent AI agents need to run arbitrary code, but you won't get there with standard infra_
Plus, when agent logic runs separately from your sandbox provider, network latency gets compounded: chained executions are even slower, and teams trade performance for operational overhead.
Blaxel Sandboxes
Run AI code in secure environments that wait on standby indefinitely when not used, eliminating cold starts without complex orchestration.
Sandboxes for your AI agents
Equip your codegen agents with secure & flexible VMs to autonomously run commands and render code.
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0.5 vCPU 2GB RAM. Started 27 seconds ago.
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2 vCPU 4GB RAM. Started 1 minute ago.
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8 vCPU 16GB RAM. Started 10 minutes ago.
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8 vCPU 16GB RAM. Started 10 minutes ago.
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1 vCPU 2GB RAM. Started 10 minutes ago.
Compute resources, made for both humans and agents
Run any kind of workload on agent-native VMs. Scale up and down in one command.
Background tasks for reliable AI products
Let your agents schedule and execute thousands of background jobs at scale. From simple cron jobs to durable workflows.
Highly customizable gateway for your apps
Production-critical low latency and deeply programmable global gateway to federate all your agentic workloads.


Enterprise-grade security & compliance
Built with security-first architecture and certified compliance standards to meet the most stringent enterprise requirements.
Explore Blaxel Sandboxes features
Blaxel Agents Cohosting
Co-locate agent APIs, MCP servers, and batch tasks directly alongside your sandboxes to eliminate network hops and ensure the lowest possible end-to-end latency.
Iterate. Evaluate. Deploy.
Develop and deploy agents in any framework on our serverless infrastructure.
MCP servers that just work
Run asynchronous tool calls on cloud-hosted MCP servers.
One gateway. Hundreds of AI models.
Access LLMs from all the top providers via Blaxel's AI gateway, or route to your self-hosted models.
LLM: Parse user request
Tool: Web Search API call
LLM: Format response
Embedded LLM observability
Get a 360-view of metrics, logs, and traces for LLM applications and agent runs.