AMD Developer Cloud

Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

AMD Developer Cloud

AMD Developer Cloud is a cloud-based GPU platform that gives developers on-demand access to AMD Instinct accelerators. It is designed for AI researchers, engineers, and builders who need high-memory GPU compute for training, fine-tuning, and inference without managing physical hardware. Members of the AMD AI Developer Program receive $100 in credits to start building immediately.

General
Author	AMD
Type	Cloud GPU Platform
Access	AMD AI Developer Program
Documentation	AMD Developer Cloud Overview
Hardware	AMD Instinct MI300X (192GB HBM3)
Pricing	$100 credits for Developer Program members; pay-as-you-go available

Start building with AMD Developer Cloud

AMD Developer Cloud lets you access AMD Instinct MI300X GPUs through a simple cloud interface, so you can focus entirely on building rather than configuring infrastructure. The MI300X features 192GB of HBM3 memory, making it practical for running 70B+ parameter models on a single instance without model parallelism. Sign up for the AMD AI Developer Program to claim your credits and start running workloads today. Explore what the community has already built on AMD at AMD Use Cases and Applications.

AMD Developer Cloud Tutorials

Getting Started

AMD AI Developer Program Sign up to access $100 in cloud credits and AMD Instinct GPU instances
AMD Developer Cloud Overview Platform documentation and getting started guide
ROCm Documentation Software stack reference for running AI workloads on AMD GPUs
From Zero to AI Builder with AMD Free training courses and hands-on labs with real GPU access

Key Use Cases

Fine-tuning LLMs Use AMD Instinct MI300X instances to fine-tune open-source models such as Llama, DeepSeek, Mistral, and Qwen using PyTorch and ROCm. Hugging Face Optimum-AMD provides optimized training pipelines for AMD hardware.

Large model inference The MI300X's 192GB HBM3 memory capacity supports running very large models on a single GPU, reducing the need for multi-GPU serving setups.

Benchmarking and prototyping Test AI workloads on AMD hardware before moving to on-premises infrastructure. The pay-as-you-go pricing keeps experimentation costs low.

Hackathon development During AMD-sponsored hackathons on lablab.ai, participants receive cloud credits to access AMD GPUs directly through AMD Developer Cloud. Explore upcoming AI hackathons to find events using AMD infrastructure.

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amd AMD Developer Cloud AI technology Hackathon projects

Discover innovative solutions crafted with amd AMD Developer Cloud AI technology, developed by our community members during our engaging hackathons.

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HomzDoctor – AI Healthcare Copilot

HomzDoctor is an AI-powered healthcare platform built to assist both patients and healthcare providers throughout the healthcare journey. Our goal is not to replace doctors but to help them make faster and more informed decisions. Patients can upload medical reports, lab results, X-rays, MRI scans, CT scans, and other healthcare documents. The platform processes this information and generates structured insights that can help doctors review cases more efficiently. A key part of our solution is the doctor verification layer. Any AI-generated finding must be reviewed and approved by a licensed healthcare professional before it is presented as a diagnosis or treatment recommendation. This ensures patient safety and keeps doctors in control of medical decisions. After doctor approval, HomzDoctor continues to support patients through several healthcare services. Patients can ask questions about their reports using an AI assistant, receive medication reminders, track adherence to prescriptions, find nearby pharmacies, and schedule appointments with healthcare providers. The platform uses a multi-agent architecture where specialized AI agents handle different tasks such as medical imaging analysis, diagnostic support, medication information, pharmacy services, appointment scheduling, and patient assistance. This approach makes the system more scalable and efficient. We built HomzDoctor to address common healthcare challenges such as delayed access to information, missed medications, difficulty understanding medical reports, and finding healthcare services quickly. Our team consists of three members who worked on designing the healthcare workflow, building the AI agent system, developing the backend and frontend applications, and integrating healthcare-related services into a single platform.

CogniCore

CogniCore is an AI-powered enterprise platform that transforms meetings into production-ready operational workflows. Instead of relying on manual documentation, fragmented communication, and multiple disconnected tools, CogniCore automatically captures conversations, understands business and technical context, extracts requirements, identifies risks, and generates actionable tasks in real time. Through its integrated systems, CogniScribe and CogniOPS, the platform orchestrates planning, governance, development workflows, and AI-assisted execution from a single interface. By reducing miscommunication, accelerating project delivery, and minimizing operational overhead, CogniCore enables organizations to move seamlessly from discussion to implementation with speed, accuracy, scalability, and enterprise-grade automation.

AetherDev Pro

AetherDev Pro is an advanced, production-ready multi-agent software development platform and interactive IDE designed for automated software engineering workflows. Built on a Flask backend and a premium glassmorphic HTML/CSS/JS frontend, the platform integrates Microsoft Monaco Editor (the core engine of VS Code) to allow developers to view, edit, and save generated files in real-time. Key Features & Agent Workflow: 1. **Multi-Model Agent Teams**: Users can customize their AI engineering team by routing specific LLMs (e.g. Google Gemini 1.5 Pro, Llama 3.3 70B, GPT-4o) to specialized roles: - **Planner Agent**: Analyzes prompts and outputs structural design layouts and DAGs. - **Engineer Agent**: Automatically implements code for planned files. - **Reviewer Agent**: Evaluates syntax, error handling, and logical correctness, requesting iterative improvements. - **Tester Agent**: Autonomously writes test suites using python's unittest framework. - **Documenter Agent**: Generates comprehensive README files and code documentation. 2. **Self-Healing Code Compilation (TDD Loop)**: AetherDev Pro executes generated test suites in a secure local sandbox subprocess. If any test fails, the error traceback is dynamically parsed and fed back to the Engineer agent with instructions to repair the codebase. This loop repeats autonomously until all tests pass, ensuring that the final output is verified and functional. 3. **Stateless Persistence (SQLite)**: All sessions, file trees, source contents, run records, and terminal logs are persisted in a local SQLite database. This keeps the application robust, resilient to server restarts (such as on cloud platforms like Render), and allows users to resume past projects seamlessly.

EscrowGuard

EscrowGuard is a multi-agent platform designed to resolve operational friction and strict regulatory compliance in high-value financial transactions or escrows. Developed by the "Script Hunters" team for the "Regulated & High-Stakes Workflows" track of the Band of Agents hackathon, the system turns validation into a real-time interactive negotiation room. - Instead of slow processes, EscrowGuard introduces a "Syndicate of Intelligent Agents" and robust technical orchestration: - Extractor AI (PydanticAI): Instantly processes passports and PDF documents to extract structured data with strict type validation. - Bank Retention (Mock SPEI): Simulates the preventive freezing of funds in escrow accounts while analyzing the profiles of those involved. - Risk OSINT Agent (CrewAI): Actively searches the web and scans international databases (OFAC, PEP, SAT) to identify money laundering networks or potential criminal sanctions. - Logic Orchestrator (LangGraph): A state machine that coordinates the agents and halts the financial flow if any level of risk is detected. Its biggest differentiator is its Human-in-the-Loop (HITL) architecture operated through Band Pro. If the agents detect an ambiguous case (such as a false positive due to a name collision with a sanctioned politician), LangGraph pauses the operation and calls a human Compliance Officer (DPO) into the room. The DPO can interrogate the OSINT agent about its sources, analyze discrepancies, and execute a manual approval to release the funds, bridging the scalability of AI with critical human judgment to close deals with complete security.

Voyage AI – Intelligent Travel Planning Assistant

Voyage AI is an AI-powered travel planning platform that helps users create personalized and efficient travel experiences. The application generates customized day-wise itineraries based on the user's destination, travel duration, interests, and budget. It combines Generative AI with real-time travel insights, weather information, and smart recommendations to simplify trip planning. Users can explore destinations, receive activity suggestions, estimate travel costs, and optimize their schedules through an intuitive interface. By integrating AI-driven recommendations and data visualization, Voyage AI transforms the traditional travel planning process into a seamless, personalized, and intelligent experience, helping travelers make informed decisions and enjoy hassle-free journeys.