Discover Top Posts Tagged with #amazon sagemaker

Amazon SageMaker Unified Studio: Is This the End of Fragmented MLOps on AWS?

If you were a Data Scientist operating on AWS prior to 2025, your workflow was undeniably powerful—but it was scattered across a notoriously fragmented ecosystem. You would log into Amazon EMR Studio to run massive PySpark transformations, switch tabs to Amazon Glue DataBrew to profile data hygiene, navigate to SageMaker Canvas to prototype a quick random forest model, and finally open SageMaker…

View On WordPress

#Amazon SageMaker #AWS #Data Architecture #Generative AI #Jupyter #Machine Learning #MLOps

Reposting from my twitter acc. Currently studying for my MLA-C01 certificate exam

#aws #aws amazon #amazon aws #aws machine learning engineer #amazon sagemaker #amazon web services #witch

SageMaker HyperPod: Your Guide to Powerful AI

– Amazon SageMaker HyperPod is a purpose-built infrastructure for optimizing foundation model (FM) training and inference at scale. SageMaker HyperPod removes the undifferentiated heavy lifting involved in building and optimizing machine learning (ML) infrastructure for training FMs, reducing training time by up to 40%. SageMaker HyperPod offers persistent clusters with built-in resiliency, while…

#AI Infrastructure #Amazon SageMaker #Cloud Computing #HyperPod #machine learning

SageMaker Unified Studio: Your Complete Guide

## Unlock Effortless Machine Learning with SageMaker Unified Studio Discover how Amazon SageMaker Unified Studio is revolutionizing machine learning workflow delivery with its new Code Editor and multiple spaces support. This integrated development environment (IDE) streamlines the entire ML lifecycle – from data preparation to model deployment – dramatically accelerating your projects. The…

#AI Development #Amazon SageMaker #Code Editor #machine learning

Best GPT-OSS Models: A Comprehensive Guide

OpenAI’s GPT-OSS models – gpt-oss-20b and gpt-oss-120b – are now accessible through Amazon SageMaker AI, offering a powerful way to tailor these advanced language models to your specific needs. Released on August 5, 2025, this integration simplifies the process of fine-tuning, allowing you to leverage their capabilities for coding, scientific analysis, and mathematical reasoning. These…

#Amazon SageMaker #GPT-OSS #Hugging Face #Large Language Models #OpenAI

GPT-OSS Fine-Tuning: The Ultimate Guide & Tips

Fine-tune OpenAI’s GPT-OSS models using Amazon SageMaker HyperPod recipes to unlock advanced capabilities with multilingual reasoning. This post, the second installment in our GPT-OSS series, provides a practical guide on customizing these foundational models for enhanced performance and scalability. Part 1 demonstrated fine-tuning with open source Hugging Face libraries via SageMaker training…

#Amazon SageMaker #Fine-Tuning #GPT-OSS #Multilingual Reasoning #OpenAI

Amazon Sagemaker Hyperpod: The Ultimate Guide

Introducing a game-changing solution for AI development: Amazon SageMaker HyperPod, now supported by the powerful P6e-GB200 UltraServers. These servers, fueled by NVIDIA GB200 NVL72 GPUs, unlock unprecedented compute capabilities – up to 72 Blackwell GPUs with 360 petaflops of FP8 and 1.4 exaflops of FP4 compute – enabling organizations to train and deploy trillion-parameter AI models with…

#AI Training #Amazon SageMaker #Deep Learning #GPU Servers #NVIDIA Blackwell

Salesforce AI Inference: Boost Your Productivity

The Salesforce AI Platform team is dedicated to developing and managing services that power large language models (LLMs) and other AI workloads within Salesforce. Their main focus is on model onboarding, providing customers with a robust infrastructure to host a variety of ML models. Their mission is to streamline model deployment, enhance inference performance and optimize cost efficiency,…

#AI Inference #Amazon SageMaker #Large Language Models #Model Serving

#amazon sagemaker

Trending Tags

Recently Viewed Tags

#amazon sagemaker