AI Tools, Compute Power, and Rendering in One Platform

AI & GPU Compute Platform

A cloud-based AI and GPU computing platform designed to help users run AI workflows, access dedicated or shared GPU servers, and process complex rendering workloads through a unified web experience. The platform combines user, administrator, and infrastructure-partner panels with API orchestration, usage-based pricing, credit billing, resource monitoring, and role-based controls.

Get in Touch

AI Infrastructure · GPU-as-a-Service · AI Agents · Render Farm

Project Duration 8 Months

Team Size 10 Members

Our Services AI Infrastructure & GPU Platform Development

Project Status Ongoing

Project Overview

Overview: The platform brings three service areas together: an AI Agent Toolkit that connects users with third-party AI tools and open-source models; bare-metal infrastructure for compute-intensive workloads; and distributed GPU rendering for designers, architects, and visual-effects professionals.

Unified Management: User, Admin, and Partner Panels support user access, service configuration, infrastructure oversight, pricing, billing, resource monitoring, and operational governance.

Phased Infrastructure: The requirements describe an initial phase using third-party API integrations for faster service launch, followed by a planned transition toward dedicated AMD EPYC CPU and AMD Instinct GPU infrastructure.

Three Compute Services, One Managed Platform

The platform is designed to bring AI tool access, GPU compute provisioning, and rendering workflows together with shared account management, usage-based billing, API orchestration, and infrastructure monitoring.

The Challenge

Bring different AI, compute, and rendering services into a single experience rather than requiring users to manage disconnected tools and infrastructure workflows.
Support both third-party AI service integrations and a phased move toward dedicated compute infrastructure.
Manage compute-intensive workloads through resource provisioning, workload distribution, usage tracking, and infrastructure monitoring.
Provide flexible pricing models, including pay-per-use and subscription-based access, with transparent usage and billing records.
Give users, platform administrators, and infrastructure partners the role-specific controls needed to manage services and operations.

Our Solution

AI Agent Toolkit - a central interface for selecting integrated AI tools, submitting prompts, routing requests through REST APIs, and returning generated outputs to the user workspace.
GPU & Bare-Metal Compute - a service layer for dedicated or shared compute resources, with infrastructure provisioning and workload orchestration described around AMD-based CPU/GPU infrastructure.
Distributed Render Farm - GPU-powered rendering workflows intended for complex visual projects used by designers, architects, and VFX professionals.
Usage, Pricing & Billing - configurable per-request pricing, subscription plans, credit-based billing, usage limits, payment-gateway integration, and stored payment references.
Operations & Governance - role-based access control, separate User/Admin/Partner Panels, monitoring dashboards, API and payment logs, resource oversight, and operational reporting.

Features

Key Features

Unified AI Agent Toolkit

Connect users with integrated third-party AI tools and open-source models through a central workflow for submitting prompts, routing API requests, and viewing generated outputs.

GPU Compute & Bare-Metal Infrastructure

Support access to dedicated or shared compute resources for AI workloads, data processing, simulations, and other compute-intensive tasks, with a planned AMD EPYC and Instinct GPU infrastructure layer.

GPU-Powered Render Farm

Provide distributed rendering workflows for complex 3D and visual projects, serving creative professionals such as designers, architects, and VFX teams.

Usage-Based Billing & Multi-Role Operations

Combine pay-per-use and subscription pricing, credit-based billing, role-specific panels, usage monitoring, API logs, payment records, and infrastructure-partner oversight.

Technologies Used