Scalable Training of Language Models Using Ray, JAX, and TPUv4
Explore challenges and design decisions for scalable language model training, with quantitative analysis of efficiency improvements using Ray, JAX pjit, and TPUv4.
Scalable Feature Engineering with Hamilton on Ray
Explore scalable feature engineering using Hamilton and Ray at StitchFix. Learn declarative dataflow, team scaling, and efficient computation for thousands of time-series features.
KubeRay - A Kubernetes Ray Clustering Solution
Explore KubeRay, an open-source toolkit for managing Ray clusters on Kubernetes. Learn about architectural decisions, resource management, job submission, and autoscaling capabilities.
SkyML: Infra-less Machine Learning on Any Cloud
Explore SkyML for simplified, high-performance machine learning across clouds. Leverage best-of-breed accelerators, spot instances, and automatic resource management for cost-effective ML applications.
Making Your Enterprise GenAI Ready and GenAI Enterprise Ready
Prepare your organization for GenAI challenges and opportunities. Learn best practices for integrating GenAI capabilities with enterprise security, privacy, and guardrails. Explore Google Cloud's innovative GenAI solutions for enterprise environments.
Enterprise Vector-based Information Retrieval and Prompt Engineering at Scale Using Open Source on AWS
Build enterprise-scale vector-based information retrieval systems using open source technologies on AWS, addressing challenges in Retrieval Augmented Generation for accurate, hallucination-free results.
Best Practices for Productionizing Distributed Training with Ray Train
Explore fault-tolerant distributed training techniques using Ray Train, covering experiment restoration, node failure recovery, cloud storage snapshots, and large model checkpointing for efficient AI workloads.
Scalable and Cost-Efficient AI Workloads with AWS and Anyscale
Learn to scale and productionize GenAI and LLM workloads cost-effectively using AWS compute instances and Anyscale's capabilities for ambitious AI projects.
Optimizing LLM Inference with AWS Trainium, Ray, vLLM, and Anyscale
Explore cost-effective LLM inference scaling using AWS accelerators, Ray, vLLM, and Anyscale. Learn to build a complete stack on EKS and leverage advanced cluster management for enterprise-grade GenAI workloads.
Solving Complex Quantum Chemistry Problems with Amazon Braket
Explore quantum chemistry problem-solving using Amazon Braket with insights from an applied scientist at QHack 2023.
Getting Started with Amazon Braket
Explore Amazon Braket's quantum computing capabilities with AWS Senior Solutions Architect Vanessa Hernandez Mateos at QHack 2023.
How Flow Works in Software Engineering - Insights from Complexity Science
Explore how information theory and complexity science illuminate software engineering practices, optimizing value flow and challenging conventional approaches to development.
Heterogeneous Serverless Computing for High-Performance Computing and AI Workloads
Explore heterogeneous serverless computing for efficient HPC, HPDA, and AI workloads. Learn about innovative accelerator uses and flexible deployment models from edge to exascale.
Explore the Sustainable Future of AI
Discover strategies for sustainable AI development, focusing on energy-efficient hardware, optimized algorithms, and renewable energy in data centers.
Harnessing Proprietary Data in the Era of Generative AI - Insights from AWS
Explore AWS's mission to democratize machine learning, offering customization capabilities for proprietary data. Learn about security, data governance, and scalable GenAI development for startups building innovative AI solutions.
Magic Castle - Terraforming the Cloud to Teach High-Performance Computing
Replicate HPC infrastructure experience using cloud resources with Magic Castle. Deploy complete clusters with schedulers, data-transfer nodes, and pre-compiled software in minutes.
Open Source Evolution for AI and the Next Generation
Explore open source's evolution for AI and next-gen developers. Learn about Open Source Program Offices, balancing risks and rewards, and applying open source beyond code.
The Infrastructure Cloud - Security Lifecycle Management
Mitigate cloud risk with HashiCorp's Security Lifecycle Management. Learn to protect, inspect, and connect sensitive elements across environments using Vault and Boundary for identity-based security and automated access.
Java Me Smarter: Unleashing AI Power with Quarkus
Explore Quarkus for building AI-powered Java microservices. Learn to integrate AI capabilities, from machine learning to chatbots, and discover the future of Java development with AI.
Detecting and Overcoming GPU Failures During ML Training
Explore GPU failure challenges in ML training, learn proactive detection methods, and discover fault-tolerant distributed training principles to mitigate issues and optimize performance.
A New Choice for Istio Data Plane: Architectural Innovation for Brand-New Performance
Explore innovative Istio data plane solution using eBPF and kernel enhancements for native traffic governance, reducing latency by 60%+ and simplifying mesh architecture. Discuss future service mesh evolution.