The agentbox for production-ready
Agents
The agentbox for production-ready Agents

Publish, access, and operate workflow-specific Agents, backed by GMI's model access, computing resources, and deployment tooling
170+
Models Available
Global
Data Center Coverage
99.9%
Uptime target
Trusted by teams launching production Agents
Not an agent catalog
A launchpad for Agents
Most teams do not want another directory of demos. They want an AI agent that works, and a clear path to deploy, list, and operate it in productionGMI Agentbox is where workflow-specific Agents get packaged, distributed, and run at scale, with unified model access and computing resources behind them
Access or deploy, in one platform
Access
Explore production-ready Agents, compare capabilities and runtime resources, and access the right workflow faster
Deploy
Deploy privately, validate the runtime, then publish to the Agentbox when you're ready
Use GMI your way
Some teams need computing resources. Some need model access through a hosted API. Others need both. GMI Agentbox supports all three adoption paths, whether you're deploying an enterprise AI agent, building a customer-facing agent product, or scaling an internal workflow
Option 01
Compute only
GMI handles deployment, hosting, and runtime operations
You bring your own model layer
Option 02
Models only
GMI provides model access with 170+ supported models
You manage your own runtime environment
Option 03
Compute + Models
GMI handles model access, compute, and operations
One unified system end-to-end
Coming soon
Whether you are packaging a workflow into a customer-facing Agent or scaling an internal deployment, GMI supports modular adoption, not a one-size-fits-all stack
Deploy first. Launch when ready
Deploy your Agent
Start with a private deployment on GMI infrastructure
Connect models & compute
Use GMI Models, GMI Compute, or both together
Validate and publish
Test performance, then create an Agentbox listing linked to your live deployment
Operate after launch
Track usage, logs, spend, and operational metrics once you're live

For builders, GMI shortens the path from working prototype to launchable product, without a separate hosting, model setup, or distribution stack

Everything you need to go from workflow to product
Building an AI agent is the easy part. Getting it deployed, listed, and operating reliably at scale, across models, GPUs, and users, is where most teams slow down. GMI closes that gap with one unified platform instead of five stitched-together tools
Launch faster
From validation to packaging to listing, one path, not three separate projects
Model + infra, unified
Model access and runtime compute in one place. No stack assembly required
Transparent by default
Buyers see pricing, availability, and runtime specs before they commit
Production-grade, not prototype
Deploy, publish, and operate, not just demo. Designed for teams that need to ship
Full visibility after launch
Usage, logs, spend, and performance, all in one dashboard once you're live
One platform. Built for any Agent, any workflow, any team
Client cases
From external service Agents to internal enterprise automation, teams across industries are launching on GMI
Topify
Enterprise AIExternal AgentTopify used GMI's MaaS and container infrastructure to launch an enterprise-ready Agent deployment platform. With access to 100+ models through an OpenAI-compatible API, container hosting, and deployment support from GMI, Topify delivers pre-configured AI assistants to enterprise teams with custom personalities, tool policies, and usage metering
- 2-day launch from setup to deployed control plane, proxy, and admin dashboard
- Significant reduction in setup and configuration time per client
- Dramatically faster deployment vs. custom integrations per customer
NemoClaw
Open SourceEarly AccessAn early-access, open ecosystem Agent launched on GMI with verified Agentbox presence, better discoverability, and clearer trust signals for community and enterprise users
- Verified Agentbox presence for early-access launch
- Improved discoverability and trust for open ecosystem Agents
- Better packaging for hybrid and community-driven entry points

GMI Cloud Sales Ops Agent
Revenue OpsInternal AgentTriage leads, draft responses, route opportunities, and sync activity to CRM, packaged as a monitored, reusable production Agent instead of a one-off internal script
- 3× faster lead response handling
- 40% higher qualified-meeting conversion
- Centralized post-launch visibility across usage and performance
TinyHumans
Digital EmployeesMultimodal AIMaaS → ComputeTinyHumans builds personalized AI assistants and agentic employees — powered end-to-end by GMI's inference stack across LLM, audio, and video models. As the product scales, TinyHumans is expanding from MaaS into compute and container services to deliver secure, user-level instances with stronger isolation and operational control.
- GMI inference stack powers every TinyHumans agent across text, audio, and video
- Centralized multimodal model access on a single infrastructure layer
- Clear expansion path from MaaS into compute and container services
- Private VM model for secure, user-level instance delivery
- Stronger isolation and uptime for shared multi-tenant workloads
- Built-in observability across container usage and end-user activity
One platform
Not a patchwork of tools
Most teams can build an Agent. Fewer can ship it. GMI connects deployment, model access, discoverability, and visibility in one product
| Capability | Self-Hosted / Stitched Stack | GMI Agentbox |
|---|---|---|
| Deployment + launch path | Manual | Included |
| Model + compute support | Separate setup | Included |
| Resource transparency | Manual | Included |
| Agentbox access layer | Separate system | Included |
| Usage and logs | Separate tools | Included |
| Go-live visibility | Limited | Included |
| Commercialization path | Custom build | Included |
FAQ
Get quick answers to common queries in our FAQs
Your Agent is ready
Now make it launchable
Deploy, list, and operate, with the compute, model access, and visibility to go from workflow to product

