How it works
Create a runtime, run code, commands, and manage files — everything your agent needs in a secure sandbox, in milliseconds.
1from gravixlayer import GravixLayer23client = GravixLayer()45runtime = client.runtime.create(template="base-small")67print(runtime.run_code(code="print(2 + 2)").text) # 489runtime.kill()Runtimes built for agent-generated code.
Secure, fast, and stateful — each runtime is an isolated sandbox your agents can trust.
Secure by design
Hardware-isolated microVMs — each runtime is its own sandbox. No shared kernel, no shared blast radius.
Runtime ready in ~50ms
Ephemeral sandboxes that start before most platforms finish booting — so agents aren't waiting on cold starts.
Stateful when you need it
Filesystem, packages, SSH, and long sessions. Keep the runtime up as long as the agent needs — kill when you're done.
Your cloud, your region
AWS, GCP, or Azure. Low-latency runtimes deployed nearest to your data and users.
AWS
Google Cloud
AzureCustom templates
From any Docker image to a ready runtime template — in minutes.
Live runtime metrics
Real-time CPU, memory, and tracing for every sandbox session.
What You Can Build
From code interpreters to research agents — any AI workflow that needs a secure, isolated, ultra-low-latency runtime.
AI Agent Code Execution
Execute LLM-generated code in isolated runtimes — each one a secure sandbox with hardware-level isolation.
Secure MCP Servers & Tools
Host MCP servers, APIs, or agent tools inside persistent runtimes with full network access.
Deep Research Agent
Give research agents a runtime that can browse, extract, analyze, and synthesize across sources.
Data Analysis & Visualization
Process datasets, run computations, and generate charts in secure isolated environments.
Reinforcement Learning
Run concurrent runtimes for reward evaluation, policy testing, and training loops.
AI Evaluations
Run test suites, benchmarks, and evaluation harnesses in fully isolated sandboxes.
Trust Through Transparency.
Your Cloud. Certified Security.
Tracing and Telemetry
coming soonAgent-aware observability with structured tracing, audit logs, and real-time metrics. Full decision trail for every agent session.
Bring your own Compute
coming soonRuntimes run on isolated, customer-managed compute in your cloud or on-prem. No shared resources. No cross-tenant risk.
Enterprise Compliance
coming soonMeets HIPAA, SOC 2, and GDPR standards out of the box. Continuous auditing and certification.
Simple, transparent pricing
Pay only for what you use. No commitments, no hidden fees. Runtimes run indefinitely — shut them down whenever you're done.
per vCPU
per GiB
per GiB · First 15 GiB free
Early access includes $250 free credits to get started. No credit card required.
FAQs
Gravix Layer gives AI agents a secure runtime — an isolated microVM sandbox with code execution, terminal, filesystem, and SSH, ready in ~50ms. Agent Runtime (coming soon) hosts and deploys the agents; runtimes safely executes agent-generated code.
Runtimes start in ~50ms. No cold starts. Each runtime is a dedicated microVM sandbox with its own CPU, memory, and disk. They stay running until you terminate them — no timeouts, no idle shutdowns.
Python and JavaScript out of the box. But since each runtime is a full Linux environment, you can install any language, package, or system library. Use custom templates built from any Docker image to pre-configure your stack.
Every runtime gets hardware-level isolation via dedicated microVMs — not containers. No shared kernel, no shared resources, no cross-tenant risk. Each agent runs in its own secure sandbox with dedicated CPU, memory, and network.
Runtime is the secure sandbox for agent-generated code. Agent Runtime, launching soon, hosts and deploys the agents — LangGraph, CrewAI, Google ADK and more — so they can call into runtimes when they need isolated compute to execute the code safely.
AWS, GCP, Azure, your Private Cloud. Same API across all clouds. You choose the cloud/region, we handle the infrastructure.
No. Gravix Layer handles provisioning, scaling, networking, and cleanup. You interact through a Python SDK or REST API. Create a runtime, run code, and move on. We handle everything else.
Per-second billing for compute, memory, and storage. No commitments, no minimum spend. You pay only for what your agents actually use. $250 in free credits included to get started.
Yes. Every runtime supports SSH access and a web-based terminal. You get full root access to debug, inspect, or interact with your agent's sandbox in real time.
AI agent code execution, deep research agents, data analysis pipelines, code interpreters, reinforcement learning environments, MCP server hosting, AI evaluations — any workflow that needs a secure, isolated runtime for AI agents.
Gravix Layer is currently in limited preview. Apply for early access and we will follow up within 24 hours. We are onboarding in controlled waves to keep performance tight and feedback loops fast.
Ready to give your agent a secure runtime?
Apply for early access and start in minutes. No credit card required.