Fireworks AI - Fastest Inference for Generative AI
Use state-of-the-art, open-source LLMs and image models at blazing fast speed, or fine-tune and deploy your own at no additional cost with Fireworks A...
Interactive Technical Guide
Summary
An interactive educational guide designed to explain the complexities of inference engineering for generative AI models. It serves as a companion to Philip Kiely's book, using simulators to help users visualize concepts ranging from low-level attention kernels to high-level multi-cloud GPU procurement.
Highlights
- Covers the entire inference stack, from attention kernels to cloud capacity management
- Features interactive simulators that allow users to learn by adjusting variables rather than just reading
- Acts as a practical companion to the book 'Inference Engineering' by Philip Kiely
- Focuses on the real-world challenges of serving generative models in production environments
auto-generated
Context
Audience
Machine Learning Engineers and AI Infrastructure Specialists
DomainMachine Learning Infrastructure
Formatinteractive tool
Accessfree online
Source Overview
Interactive companion to Philip Kiely's Inference Engineering book, covering production serving of generative AI models.
Includes built simulators for topics ranging from attention kernels to multi-cloud GPU procurement. Hosted at learn-inference.com.
Topics
Related
Generative AILLM ServingGPU ProcurementAttention MechanismsCloud Computing
