Inference at Scale with Apache Beam
Learn to deploy and scale machine learning models efficiently using Apache Beam for distributed inference on CPUs and GPUs, with practical insights on parallelizing workloads.
Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS
Accelerate data science workflows using GPUs and RAPIDS. Learn performance gains, easy migration, and new possibilities in ETL, ML, and graph analytics.
Kaggle Notebooks - Introduction to Cloud-Based Data Science Platforms
Explore Kaggle notebooks for seamless data access, free GPU usage, and efficient machine learning model development without complex local setups.
A Spatially-Resolved Transcriptional Atlas of the Murine Dorsal Pontine Tegmentum
Explore a groundbreaking transcriptional atlas of the murine dorsal pontine tegmentum using snRNA-seq and MERFISH, with interactive visualization for real-time data analysis and insights.
Acceleration of Bioinformatics Workloads Through Hardware-Algorithm Co-Design and Processing-in-Memory Technologies
Explore hardware-algorithm co-design and processing-in-memory technologies for accelerating bioinformatics workloads, focusing on genomic sequence analysis and mapping techniques.
NetworkX is Fast Now - Graph Analytics Unleashed
Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.
NetworkX is Fast Now - Graph Analytics Unleashed
Discover NetworkX's power for graph analytics, from beginner-friendly API to accelerated backends. Learn to extract insights from data using advanced tools for scalable graph analysis.
TyFlow Tutorial - CUDA Cloth Bubbles + Project Files
Explore 3ds Max's TyFlow CUDA cloth features to simulate precise cloth collisions, creating glass bulbs with procedural bubbles for visually satisfying results.
A Fast and Flexible CFD Solver with Heterogeneous Execution - JuliaCon 2024
Explore WaterLily.jl: a fast, flexible CFD solver for CPUs and GPUs. Learn about its meta-programming approach, performance, and potential for ML integration and differentiability.
CarpetX and the Future of the Einstein Toolkit
Explore CarpetX and its impact on the Einstein Toolkit's future in computational relativity and gravitation research with Erik Schnetter.
Pushing Infrastructure Boundaries: Memory Requirements in AI Data Centers
Explore how AI applications are transforming hyperscale data centers, focusing on memory innovations and infrastructure adaptations needed for GPU-centric computing environments.
Innovating the Korea Meteorological Administration with OpenStack and Kubernetes
Discover how South Korea's weather services leverage OpenStack and Kubernetes to process real-time meteorological data, featuring a scalable cloud infrastructure managing 30,000 vCPUs and 7PB storage across two sites.
Better Sharing of AI Accelerators in OpenStack with Blazar Reservations
Discover how Blazar enhances GPU resource sharing in OpenStack environments through advanced reservation capabilities, optimizing AI workload management and infrastructure utilization.
Cloud GPU Providers Comparison - From H100 to RTX 4090
Explore 8 cloud GPU providers offering various options from RTX 3060 to H100 GPUs, comparing features and pricing for machine learning and LLM fine-tuning projects.
Meet MySQL RAPID - Distributed, In-Memory, Columnar, Query Processing Engine by ORACLE
Explore MySQL RAPID: Oracle's distributed, in-memory columnar engine for OLAP & OLTP workloads. Learn its architecture, data loading, and how it revolutionizes data warehousing and ETL processes.
Building a High Performance Network in the Public Cloud Using RDMA - First Principles
Explore Oracle Cloud Infrastructure's high-performance networking using RDMA, covering challenges, optimizations, and unique features for low-latency workloads in public cloud environments.
CUTLASS: A CUDA C++ Template Library for Accelerating Deep Learning Computations
Explore CUTLASS, an open-source CUDA C++ template library for optimizing deep learning computations on NVIDIA GPUs. Learn to develop high-performance custom kernels using Tensor Core programming.
TornadoVM: Heterogeneous Programming Framework for Java
Explore TornadoVM, a Java framework for heterogeneous computing on CPUs, GPUs, and FPGAs. Learn its API, compiler, and runtime system for optimized performance across diverse hardware.
Data Parallel Programming - Concepts and Challenges in Java
Explore data parallel computing techniques, array operations, and Java VM virtualization. Learn about multi-threading challenges, data partitioning strategies, and GPU thread concepts.
CUDA Toolkit 12.2 - New Accelerated Computing and Security Enhancements
Explore CUDA 12.2's new features: Hopper GPU support, confidential computing, heterogeneous memory management, and MPS prioritization enhancements for efficient, secure, and accelerated application development.
Confidential Containers for GPU Compute - Incorporating LLMs in AI Lift-and-Shift Strategy
Explore confidential containers for GPU-accelerated AI, integrating LLMs and Kubernetes for secure, high-performance computing while maintaining data privacy in cloud-native environments.