Benthonlabs

Project Overview

We designed and developed Paragen, a cloud compute platform that lets users run AI models on dedicated GPUs without buying or maintaining hardware. Running modern AI models needs powerful GPUs, but purchasing them is expensive, and shared cloud instances slow work down when multiple users compete for the same resources. The client wanted a platform where developers, startups, and researchers could get reliable, dedicated compute on demand, with billing they could trust. We delivered a platform where users pick a ready-made model or fine-tune one on their own data, get a dedicated GPU assigned exclusively to them, and pay for usage directly through blockchain for fully transparent billing. The result is cloud infrastructure built specifically for AI workloads.

Industry

AI Infrastructure / Cloud Computing

Type

Cloud Platform Development

Client

-

Service

Strategy, Cloud Services, DevOps, Blockchain Integration, UI/UX, Development

User flow

Challenges

Building Paragen meant combining high-performance GPU infrastructure with blockchain-based payments, two systems with very different demands. The platform had to deliver consistent, isolated compute to every user while keeping provisioning fast and billing verifiable. Each challenge pushed us to balance performance, reliability, and transparency.

Guaranteeing Dedicated Compute

Shared GPU slots cause unpredictable slowdowns. We had to architect true per-user GPU allocation so no other workload competes for a user’s resources.

Fast, On-Demand Provisioning

Users expect compute the moment they need it. We built orchestration that assigns, configures, and releases GPUs quickly, keeping idle capacity low and wait times short.

Simplifying Model Setup and Fine-Tuning

Not every user wants to manage drivers, frameworks, and environments. We needed a workflow where users could launch a ready model or fine-tune on their own data with minimal setup.

Transparent, Usage-Based Billing

Traditional cloud bills can be opaque. Integrating blockchain payments meant accurately metering GPU usage and recording charges in a way users could independently verify.

Solution

The client needed a platform that made dedicated AI compute accessible without hardware investment or billing uncertainty. We built a three-step experience: users pick a model from a library of ready-to-use options or fine-tune one on their own data, Paragen automatically assigns a dedicated GPU so the model runs without competition from other users, and GPU usage is paid for directly through blockchain, keeping every charge transparent and traceable. Behind the scenes, an orchestration layer handles GPU allocation, environment setup, and resource release, while a metering system tracks usage precisely and settles it on-chain. Developers can test and run models instantly, startups pay only when they are actively working, and researchers get the reliable compute that long fine-tuning jobs demand.

Design

Three Steps to Compute

A simple pick-model, get-GPU, pay flow takes users from sign-up to a running model without infrastructure complexity.

Model Library and Fine-Tuning

Ready models are one click away, and a guided fine-tuning flow lets users bring their own data with ease.

Real-Time Usage Visibility

Live dashboards show GPU status, runtime, and cost as it accrues, so users always know what they are spending.

Dedicated Resources, Clearly Shown

The interface makes it clear each GPU belongs to one user, reinforcing the platform’s core promise of uncontested compute.

Seamless Wallet Payments

Blockchain payments are built into the flow, with transaction records users can verify at any time.

Built for Every AI User

From solo developers to research teams, the experience scales from quick tests to long-running fine-tuning jobs.

Teck Stack

With deep expertise in cloud infrastructure, AI, and blockchain, Benthon Labs built Paragen on a stack designed for performance, scalability, and transparency.

Result

Paragen gives AI builders powerful, dedicated GPU compute without the cost of owning hardware or the slowdowns of shared resources. Developers can launch and test models in minutes, startups pay only for the compute they actually use, and researchers get dependable performance for fine-tuning. With blockchain-based billing, every charge is transparent and verifiable, giving users a level of trust traditional cloud platforms rarely offer.

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