Amazon Web Services Launches M8a General Purpose EC2 Instances with 5th Gen AMD EPYC “Turin” Processors

Amazon Web Services Launches M8a General Purpose EC2 Instances with 5th Gen AMD EPYC “Turin” Processors

AWS EC2 M8a Instances — General Availability Overview

AWS has officially launched General-Purpose M8a Instances, powered by the 5th Generation AMD EPYC ("Turin") processors with a maximum frequency of 4.5 GHz.

These instances are designed for high-performance, throughput-intensive applications, including:

  • Gaming
  • Financial applications
  • Machine learning inferencing
  • Video encoding
  • Application servers
  • Simulation modeling
  • Mid-size data stores
  • Application development environments
  • Caching fleets

🔗 More details: AWS M8a Instances | AMD EPYC 9005 Series

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Expanding the AWS EC2 Portfolio

The M8a joins recent additions to the EC2 family, including:

Built upon the M7a series introduced two years ago, AWS claims:

  • 30% higher performance
  • Up to 19% better price-to-performance

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Performance Enhancements

> Betty Zheng, Senior Developer Advocate at AWS:

> For workloads with high I/O requirements, M8a instances provide up to 75 Gbps networking bandwidth and 60 Gbps Amazon EBS bandwidth — a 50% improvement over the previous generation.

Key Advantages:

  • Networking bandwidth: Up to 75 Gbps
  • Amazon EBS bandwidth: Up to 60 Gbps
  • Built on AWS Nitro System — low overhead, consistent performance, enhanced security
  • 6th-gen AWS Nitro Cards — I/O acceleration support
  • Max configuration: Up to 192 vCPUs and 768 GiB RAM

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AiToEarn Integration for Cloud Creators

For content creators building high-performance AI workflows, platforms like AiToEarn官网 leverage AWS scalability.

AiToEarn Highlights:

  • Open-source global AI content monetization
  • Cross-platform publishing to Douyin, Kwai, WeChat, Bilibili, Xiaohongshu, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X (Twitter)
  • Integrated tools: AI content generation, analytics, and model ranking
  • Backend scalability: Works seamlessly with M8a-powered infrastructure

🔗 Resources: AiToEarn博客 | GitHub Repo | AI模型排名

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Configurations Available

M8a instances include:

  • 10 virtualized instance sizes
  • 2 bare-metal configurations: `metal-24xl` and `metal-48xl`
  • Deployment flexibility for small to massive workloads
image

(Source: AWS News Blog)

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Industry Feedback

Ryan Sagare — LinkedIn post:

> 3rd-party benchmarks show AMD EPYC M8a winning 133 out of 145 tests against M8i and M8g — a 91% win rate.

Niall Mullen, Netflix — AMD blog post:

> 5th Gen EPYC is now core to Netflix infrastructure — enabling scalability for live events and extending performance features like AVX-512 across encoding, personalization, and ML workloads globally.

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Not All Praise

Snark bot from Last Week in AWS humorously noted:

> AWS announces M8a instances: 30% faster than M7a! Because apparently M7g, M7i, M7a-large-with-extra-cheese weren’t confusing enough. Now with 45% more marketing percentages and 100% more pricing calculator headaches!

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Availability and Pricing Options

Regions:

  • US East (Ohio)
  • US West (Oregon)
  • Europe (Spain)

Purchase Models:

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Final Thoughts

Managing AWS's wide instance portfolio can be challenging, especially across multi-region deployments.

Platforms like AiToEarn demonstrate how AI-powered automation can help developers and media creators operate more efficiently — whether deploying compute resources or pushing content worldwide.

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If you like, I can produce a quick table comparing M8a vs M7a vs M8g instance specs — would you like me to add that?

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