Run Cloud Native Applications on Microsoft Azure with Ampere Altra VMs with cloud native workloads including NGINX, ElasticSearch, Redis, and AI Inference. 

Azure Efficiency Solution Brief

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Ampere Cloud Native Processors provide the best performance and energy efficiency for handling AI inference of recommender engine workloads.

Ampere AI Efficiency: Recommender Engine

Benefits of the FP16 Data Format for Natural Language Processing (NLP)

Benefits of the FP16 Data Format for Computer Vision (CV)

Ampere Cloud Native Processors provide the best performance and energy efficiency for handling AI inference of natural language processing (NLP) workloads.

Ampere AI Efficiency: Natural Language Processing

Ampere Cloud Native Processors provide the best performance and energy efficiency for handling AI inference of computer vision (CV) workloads.

Ampere AI Efficiency: Computer Vision

See how Ampere Altra Max is ideal for running AI inference in the cloud, meeting latency and throughput requirements, and outperforming x86 architecture CPUs.

AI Inference on Ampere Altra Max

Benefits of the FP16 Data Format

See how you can now run AI inference workloads with both industry leading performance and energy efficiency.

AI Inference on Azure Solution Brief 

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With up to 192 cores,  AmpereOne® is the next generation of Cloud Native Processors for sustainable compute.

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National Science Foundation Funds AmpereOne® M Platform to Expand AI Access for Scientists and Students

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