AI that runs your operations, on compute built for it.
JOY-OPS AI is a secure automation agent you install once on a desktop or server and control from your phone — invoicing, reporting, browser automation and a multi-bot workforce with audit logs. Underneath, GPU nodes and NVMe compute on AS152565 run the models.
Joy AI has two halves. The first is JOY-OPS AI, an executive assistant for businesses: a desktop or server agent that you control from your phone by voice or chat. Ask it to send an email, verify pending invoices, chase a payment or pull a weekly report and it prepares the action, validates the details, executes it and logs who did what. A master bot coordinates worker bots for billing, support, sales and operations, each inside its own permission boundary, with approval gates for anything that moves money.
The second half is the compute that AI work needs. Inference APIs and training jobs run on GPU nodes (NVIDIA L4, L40S and A100-class) offered on six-month and annual terms through bare metal, and on NVMe VPS for data pipelines, vector stores and application backends. Everything sits on the Joy network — low-latency paths to Indian users, DDoS filtering in front, hourly billing for experiments and the same console, wallet and API as the rest of the platform.
JOY-OPS AI is in early access with selected customers; GPU nodes are available today by quote. Open a ticket to join the programme or to size an inference deployment.
AI1 · AI2 · AI3
The three things this product line is built around — the same three boxes you see on the tile.
Compute built for low-latency processing
GPU nodes with NVMe and 10–25 G ports for inference APIs and training, NVMe VPS with hourly billing for pipelines and vector stores, all inside the Joy network so the model sits close to the users it serves.
Models, inference APIs and data pipelines
Deploy machine-learning models behind an API, schedule batch jobs on hourly servers, land data in Joy Storage and serve results through the CDN — optimised compute, GPU acceleration and scalable infrastructure on one invoice.
Managed operations with JOY-OPS AI
An installable agent that learns your desktop routine, automates invoicing and reporting, drives browser workflows and remote systems, and keeps every action behind role-based permissions and audit logs.
Specification
| JOY-OPS AI agent | Installable on Windows, Linux or a Joy VPS; controlled from your phone by voice or chat |
|---|---|
| Bots | Master bot coordinating worker bots for billing, support, sales and operations, each with its own role and permission boundary |
| Automation | Desktop behaviour learning, browser automation across portals, remote task execution with role-based access, scheduled routines with retries |
| Finance | GST-ready invoicing, reminders and receipts, payment matching, payment-link preparation with approval gates |
| Reporting | Daily, weekly and monthly business reports: income and expenses, pending invoices, renewals due, open tickets, KPIs |
| Controls | Activity logs, approvals for payments, rollback-ready automation, full "who did what" visibility |
| GPU compute | NVIDIA L4 / L40S / A100-class nodes on 6-month and annual terms; ECC memory, NVMe, 10–25 G ports, IPMI access |
| Data | Joy Storage buckets for datasets, NVMe VPS for vector stores and pipelines, CDN for serving artefacts |
Three steps
Install and connect
Install the JOY-OPS AI agent on a desktop, server or Joy VPS, pair it with your phone and connect the tools it may use.
Define bots and boundaries
Give each worker bot a role and limits — what it may read, what it may do alone, what needs your approval.
Run, review, improve
Routines run on schedule; you approve payments and exceptions; every action is logged and the agent suggests improvements daily.
Where AI fits.
Questions about AI.
Does the agent act on its own?
Where does my data go?
Can I get GPUs by the hour?
How do I join early access?
More answers in the full FAQ — billing, network, DDoS, backups, support and legal.
Early access for the agent · GPU nodes by quote
JOY-OPS AI pricing is announced at launch. GPU nodes are quoted within one business day on six-month and annual terms; NVMe VPS for pipelines start at $2.99 per month or $0.0045 per hour.
NVMe VPS in every region with static IPv4 and DDoS filtering — the compute this product line runs next to.
Works with
Build AI into your stack.
Create an account and deploy in under ninety seconds, or talk to sales about a design for your workload — regions, sizes, timelines and a quote within one business day.