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AMD Instinct MI300X—A New Challenger to Nvidia

By: Craig Kennedy

 

AMD Instinct MI300X—A New Challenger to Nvidia

On Tuesday June 13th, AMD unveiled its new MI300X AI chip, a powerful and innovative GPU designed for generative AI applications. The MI300X is AMD’s latest attempt to challenge Nvidia’s dominance in the AI accelerator market, which is expected to grow from $30 billion this year to over $150 billion in 2027, according to AMD CEO Dr Lisa Su.

Powerful Specs

The MI300X contains 153 billion transistors and can support up to 192 GB of high-bandwidth HBM3 memory and has a memory bandwidth of 5.2 TB/s. Comparing this with Nvidia’s flagship H100 GPU, the MI300X has 2.4x the memory and 55% higher memory bandwidth.

AMD Instinct Platform—There’s Strength in Numbers

AMD also announced the AMD Instinct Platform, built on eight MI300X accelerators into an industry-standard design. This hardware solution will have a total of over 1.5 TB HBM3 memory, making it a powerful hardware platform for AI inference and training.

What About the Software

AMD made several announcements on the software front as well, partnering with PyTorch and Hugging Face. The partnership with PyTorch ensures that any AI model or application developed with PyTorch 2.0 or later will run natively on the AMD Instinct GPU accelerators. 

Bottom Line

This is a powerful addition to the AMD GPU offering and is one of the first possible alternative to Nvidia’s domination of the Generative AI GPU market. The MI300X will be available in limited release later this year and generally available in 2024.


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Aragon Research’s 2023 Technology Arc

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This blog is a part of the Digital Operations blog series by Aragon Research’s Sr. Director of Research, Craig Kennedy.

Missed an installment? Catch up here!

 

Blog 1: Introducing the Digital Operations Blog Series

Blog 2: Digital Operations: Keeping Your Infrastructure Secure

Blog 3: Digital Operations: Cloud Computing

Blog 4: Cybersecurity Attacks Have Been Silently Escalating

Blog 5: Automation—The Key to Success in Today’s Digital World

Blog 6: Infrastructure—Making the Right Choices in a Digital World

Blog 7: Open-Source Software—Is Your Supply Chain at Risk?

Blog 8: IBM AIU—A System on a Chip Designed For AI

Blog 9: IBM Quantum: The Osprey Is Here

Blog 10: The Persistence of Log4j

Blog 11: AWS re:Invent 2022—Focus on Zero-ETL for AWS

Blog 12: AWS re:Invent 2022—The Customer Is Always Right

Blog 13: How Good is the New ChatGPT?

Blog 14: The U.S. Department of Defense Embraces Multi-Cloud

Blog 15: 2022 Digital Operations—The Year in Review

Blog 16: Lucky Number 13 for Intel—Intel Is Back on Top

Blog 17: Quantum Decryption—The Holy Grail for Cybercriminals

Blog 18: Microsoft and OpenAI—Intelligent Partnership

Blog 19: ChatGPT—The First One Is Free

Blog 20: Bing and ChatGPT—Your Co-Pilot When Searching the Web

Blog 21: ESXiArgs—Ransomware Attack on VMware

Blog 22: The Cost of Supply Chain Security—$250M in Sales

Blog 23: OpenAI Delivers on APIs—Accelerating the Adoption of ChatGPT

Blog 24: OpenAI Delivers on Plugins—Is ChatGPT The New Generative Content Platform?

Blog 25: Microsoft Security Copilot—Defending the Enterprise at the Speed of AI

Blog 26: Operation Cookie Monster Takes a Huge Bite Out of The Dark Web

Blog 27: AWS Bedrock—Amazon’s Generative AI Launch

Blog 28: Google Cloud Security AI Workbench – Conversational Security

Blog 29: World Password Day – Is This the Last Anniversary

Blog 30: Intel Partners to Enter the Generative AI Race—Aurora genAI

Blog 31: Charlotte AI – CrowdStrike Enters the Generative AI Cybersecurity Race

Blog 32: NICE Catches the Generative AI Wave

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