What it is
Learn how to deploy the Meta-Llama-3-70B-Instruct model on AWS Inferentia2 using Hugging Face Optimum and Amazon SageMaker.
Gabriel’s notes
learn how to deploy /meta-llama/Meta-Llama-3-70B-Instruct model on AWS Inferentia2 with Hugging Face Optimum on Amazon SageMaker.
Good fit if you want to:
- learn a new skill, concept, or workflow with structured guidance.
Pricing snapshot (auto-enriched): No free tier; usage-based pricing per hour for AWS Inferentia2 instances ranging from $0.76 to $12.98 depending on instance size; no per seat pricing or hidden limits mentioned.
Work-use / compliance snapshot (auto-enriched): Hugging Face Optimum and AWS Inferentia2 are suitable for workplace use, with Hugging Face being GDPR compliant, not storing customer payload data beyond 30-day logs, and offering enterprise plans with additional compliance features, while AWS provides SOC 2, HIPAA, and GDPR compliance with strong data access controls and security measures.
Alternatives (auto-enriched): Alternative: GPT-4 by OpenAI | Comparison: GPT-4 offers broader API access and more extensive fine-tuning options but is proprietary, unlike Llama 3 which is open and optimized for AWS Inferentia2 deployment.
Author: Philipp Schmid
Note: pricing and policy details can change—verify on the official site before making decisions.