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Deploying a 35B MoE Model to SageMaker Cost-Effectively

This article details the process of deploying a fine-tuned 35B Mixture-of-Experts (MoE) model to Amazon SageMaker. It focuses on practical strategies for cost-effective deployment, specifically using QLoRA fine-tuning for a QWEN3.6-35B-A3B text-to-SQL model on a single-GPU endpoint. AI

IMPACT Provides practical guidance for efficiently deploying large language models on cloud infrastructure.

RANK_REASON The article describes a technical process for deploying an existing model, not a new release or significant industry event.

Read on Medium — MLOps tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Deploying a 35B MoE Model to SageMaker Cost-Effectively

COVERAGE [1]

  1. Medium — MLOps tag TIER_1 English(EN) · Hermes Herrera ·

    Shipping a Fine-Tuned 35B MoE Model to SageMaker Without Burning the Budget.

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://medium.com/@hermes.herrera/shipping-a-fine-tuned-35b-moe-model-to-sagemaker-without-burning-the-budget-28a646558d19?source=rss------mlops-5"><img src="https://cdn-images-1.medium.com/max/600/1*6SeVlGa_wmY…