How it works
Create an agent runtime, run code, command, and manage files — everything your agent needs in milliseconds.
1from gravixlayer import GravixLayer23# Initialize the client (uses GRAVIX_API_KEY env var)4client = GravixLayer()56# Create an agent runtime (~50ms, no cold starts)7runtime = client.runtime.create(template="python-3.12-base-small")89# Runtime is ready to use10print(f"Runtime {runtime.runtime_id} ready")Built for AI agents that run autonomously.
Runtime Ready in ~50ms
Up and Running before most platforms finish booting
Isolated Agent Runtime
Hardware-level isolation. No shared resources.
Your Cloud, Your Region
AWS, GCP, or Azure. Low-latency runtimes deployed nearest to your data and users.
AWS
Google Cloud
AzureSSH & Web Terminal Access
Full terminal access to any running runtime.
Custom Agent Templates
From any Docker image, ready in mins.
Live Agent Metrics
Real-time CPU, memory, and tracing.
What You Can Build
From code interpreters to autonomous research agents — any AI workflow that needs secure, isolated, and ultra low latency runtime.
AI Agent Code Execution
Execute LLM-generated code in isolated agent runtimes with full hardware-level isolation.
Secure MCP Servers & Tools
Host MCP servers, APIs, or agent tools inside persistent runtimes with full network access.
Deep Research Agent
Deploy autonomous agents that browse, extract, analyze, and synthesize information across multiple 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 environments.
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 is an agent-native runtime for AI developers and researchers. It gives your AI agents their own isolated compute environment — with code execution, terminal access, filesystem, SSH, and networking — spun up in ~50 milliseconds.
Runtimes start in ~50ms. No cold starts. Each runtime is a dedicated microVM with its own CPU, memory, and disk. They stay running indefinitely 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 environment with dedicated CPU, memory, and network.
AWS, GCP, and Azure. Same API across all providers. You choose the region, we handle the infrastructure. Multi-cloud deployments work without any code changes.
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 environment 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 secure, isolated compute 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 deploy your first agent?
Apply for early access and start in minutes. No credit card required.