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Frontier inference powered by AMD GPUs

AI developers looking to get started quickly often face challenges like access to the hardware, inference compute, or dev ops expertise. These can slow down experimentation and delay time to value.

Fireworks is collaborating with AMD to provide streamlined access to production-ready LLM inference, powered by AMD Instinct™ GPUs. Through the AMD AI Developer Program, developers can now access $50 of Fireworks AI credits, enabling immediate experimentation with state-of-the-art models, without the need to manage infrastructure.

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AMD x Fireworks AI

$50 in Fireworks AI Credits for AMD Developers

As part of the AMD AI Developer Program, eligible developers can receive:

  • $50 in Fireworks AI credits
  • 90-day validity from issuance

These credits provide immediate access to the Fireworks inference platform, allowing developers to evaluate performance and build applications without upfront cost.

How to Get Started

The onboarding process is designed to be simple and easy:  

1. Join the AMD AI Developer Program

2. Fill out the cloud credit form and select Fireworks AI credit.

3. Approval: AMD will review the credit submission within 2 business days to validate eligibility.

4. Receive Access Details: Approved developers will receive:

  • A credit code via email (valid for 90 days)
  • A link to create a Fireworks AI account

5. Activate Credits and Build

AMD Instinct™

Frontier Inference + Frontier Hardware

AMD Instinct™ MI350 Series GPUs set a new standard for Generative AI and high performance computing (HPC). Built on AMD's new cutting-edge 4th Gen CDNA™ architecture, these GPUs deliver exceptional efficiency and performance for training large >300B models, and powering the production inference workloads that AI natives and enterprise AI leaders require.

What Developers Can Build

With Fireworks AI running on AMD Instinct GPUs, developers can quickly build and deploy:

  • Conversational AI and chat applications
  • Intelligent document processing and summarization
  • Code generation and developer tools
  • Retrieval-augmented generation (RAG) systems
  • Real-time inference services