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ExternalAI
AWS Machine Learning Blog

Optimize model training on Amazon SageMaker AI with NVIDIA Blackwell

This post shows you how to configure training jobs on Amazon SageMaker AI to get the most out of Blackwell’s architecture on AWS. You learn how to select batch sizes and sequence lengths that take advantage of Blackwell’s expanded memory, choose the right precision format for your model size (1B to 64B parameters), and apply activation checkpointing strategically. By the end, you have a practical framework for tuning your training configuration and launching distributed training jobs on P6-B200

Advanced (300)Amazon SageMakerBest Practices
AWS Machine Learning BlogRead original
ExternalAI
AWS Machine Learning Blog

Implementing super resolution by deploying SeedVR2 on Amazon SageMaker AI

In this post, we demonstrate how to implement video upscaling using SeedVR2 on SageMaker AI. We cover the solution architecture, walk through the deployment steps, and show performance comparisons that highlight the quality improvements and processing efficiency you can achieve. By the end of this post, you’ll have the practical knowledge needed to implement this super resolution solution.

Amazon SageMakerIntermediate (200)Technical How-to
AWS Machine Learning BlogRead original
ExternalAI
NVIDIA Technical Blog

Q&A: How KRAFTON Built PUBG Ally, a Co-Playable Character Powered by NVIDIA ACE

AI companions in games have long been constrained by fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for PUBG: BATTLEGROUNDS, this AI... AI companions in games have long been constrained by fixed dialogue. PUBG Ally is a different kind of system. Built by KRAFTON for PUBG: BATTLEGROUNDS, this AI teammate is powered by NVIDIA ACE and its suite of efficient models and tooling. PUBG Ally uses automatic speech recognition, a 2B-parameter small language model, and text-to-sp

NVIDIA Technical BlogRead original

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