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Gemini Enterprise Agent PlatformGemini Enterprise Agent Platform is an advanced AI infrastructure from Google Cloud that enables organizations to build and manage intelligent agents at scale. As the evolution of Vertex AI, it consolidates model development, agent creation, and deployment into a unified platform. The system provides access to a diverse library of over 200 AI models, including cutting-edge Gemini models and leading third-party solutions. It supports both low-code and full-code development, giving teams flexibility in how they design and deploy agents. With capabilities like Agent Runtime, organizations can run high-performance agents that handle long-duration tasks and complex workflows. The Memory Bank feature allows agents to retain long-term context, improving personalization and decision-making. Security is a core focus, with tools like Agent Identity, Registry, and Gateway ensuring compliance, traceability, and controlled access. The platform also integrates seamlessly with enterprise systems, enabling agents to connect with data sources, applications, and operational tools. Real-time monitoring and observability features provide visibility into agent reasoning and execution. Simulation and evaluation tools allow teams to test and refine agents before and after deployment. Automated optimization further enhances agent performance by identifying issues and suggesting improvements. The platform supports multi-agent orchestration, enabling agents to collaborate and complete complex tasks efficiently. Overall, it transforms AI from a productivity tool into a fully autonomous operational capability for modern enterprises.
What is CreateOS Sandbox?
CreateOS Sandbox is a cloud-oriented computing platform tailored for developers engaged in building AI agents, code execution environments, and various utilities for software development. It employs isolated Firecracker micro-virtual machines, each functioning under its own Linux kernel, which enables secure execution of untrusted code or code produced by machine learning models. Developers can configure their environments through a TypeScript SDK, a command-line interface, MCP tools, or a REST API, facilitating command execution and the establishment of connections among sandboxes within private networks. Additionally, these sandboxes are designed for easy pausing and resuming while preserving the guest state, and they can be customized using reusable templates. Integration with customer-owned storage solutions like Amazon S3, MinIO, or Cloudflare R2 is also supported, enhancing data management options. It's worth mentioning that the service incurs charges per second based on compute, memory, and disk space usage, with costs for memory and storage continuing even when environments are paused. The platform is accessible in both EU and US regions, and an enterprise version is available that allows deployment on a customer's infrastructure, offering increased flexibility and control for organizations. Ultimately, CreateOS Sandbox delivers a comprehensive solution that meets the diverse requirements of contemporary developers while supporting innovation in AI and software development.
What is Agent Compute Engine?
Agent Compute Engine is a comprehensive compute service provided by Google Cloud that specializes in creating execution environments tailored for AI agents. Each AI agent functions within its unique hardware-isolated microVM, featuring a dedicated guest kernel and root-level management capabilities. Users can take advantage of functionalities such as quick startup, pausing, checkpointing, creating snapshots, and resuming workflows efficiently. To preserve agent files and context across various sessions, persistent workspaces are provided, while the platform employs copy-on-write memory sharing to support parallel environments derived from shared images. Agents are capable of executing code, running shell commands, and performing browser actions in secure sandboxes, with access to enterprise data tightly controlled through Google Cloud's networking and identity frameworks. Developers are empowered to personalize environment images, manage identity protocols, regulate network access, and supervise the lifecycle of their agents, all while Google manages the underlying compute infrastructure seamlessly. This platform is especially effective for applications such as interactive assistants, coding agents, browser tasks, and in-depth evaluation and reinforcement learning projects, demonstrating its adaptability and efficiency across a broad spectrum of AI applications. Moreover, by alleviating infrastructure concerns, this extensive management enables developers to concentrate on enhancing and refining their AI solutions more effectively. Consequently, the Agent Compute Engine stands out as a powerful tool for advancing the capabilities of AI-driven projects.
Media
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Integrations Supported
Amazon S3
Cloudflare R2
MinIO
Model Context Protocol (MCP)
API Availability
Has API
API Availability
Pricing Information
$0.03616363/vCPU/hour
Usage is billed per second: $0.03616363 per vCPU-hour, $0.01159025 per GiB-RAM-hour, and $0.0001584 per GB-hour of storage. There are no egress fees or minimums. Paused sandboxes incur memory and storage charges, but no vCPU charge. New accounts receive 500 free credits.
Free Version
Pricing Information
Pricing not provided
Supported Platforms
SaaS
On-Prem
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Not specified
Training Options
Documentation Hub
Training Options
Not specified
Company Facts
Organization Name
NodeOps
Date Founded
2023
Company Location
United States
Company Website
createos.sh/products/sandbox
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/blog/topics/ai-infrastructure/agent-compute-engine-deep-dive
Categories and Features
AI Agent Infrastructure
Not specified
Categories and Features
AI Agent Infrastructure
Not specified