Ampere AI

The best GPU-Free alternative for AI Inferencing workloads

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Unlock AI Inference Efficiency with Ampere Cloud Native Processors

Ampere Cloud Native Processors with Ampere Optimized AI Frameworks are uniquely positioned to offer GPU-Free AI Inference at performance levels that meet client needs of all AI functions be it generative AI, NLP, recommender engines, or computer vision.

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Ampere Optimized
AI Frameworks (AIO)

Ampere Optimized
AI Frameworks (AIO)

Llama 3 AI Inference on AmpereOne®

Llama 3 AI Inference on AmpereOne®

Recommender Engine AI Inference on AmpereOne®

Recommender Engine AI Inference on AmpereOne®

Efficient GPU-Free LLM Deployments

Performant GPU-Free LLM Inference on Ampere Cloud Native CPUs. Cut down on your cloud bills and save on energy costs on-prem, while meeting end-user needs.

GPU-Free AI Inference Servers

Gigabyte

G242-P32 - 2U Server

Hewlett Packard Enterprise

ProLiant Gen11 RL300 - 1U Server

Supermicro

MegaDC - 1U and 2U Server Family

"Lightly.ai’s customers can achieve over 3x cost reduction running on Ampere T2A instances on GCP using Ampere AI software solutions for AI Inference, in addition to optimized performance. The next generation AmpereOne C3A instances on GCP will deliver on this continued value proposition."

-Igor Susmelj, Lightly.ai’s Co-founder

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“This breakthrough Wallaroo/Ampere solution allows enterprises to improve inference performance, increase energy efficiency, and balance their ML workloads across available compute resources much more effectively, all of which is critical to meeting the huge demand for AI computing resources today also while addressing the sustainability impact of the explosion in AI.“

-Vid Jain, chief executive officer of Wallaroo.AI

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"Using Ampere A1 instances on OCI with integrated Ampere Optimized AI library, we managed to right-size compute providing price-performance advantage on deep learning inferencing relative to GPUs and to other CPUs. We found an order of magnitude or more reduction in cloud resource costs, measured at 4 operating points for 2 cloud vendors, while avoiding operational complexity for changes in model serving resource needs and cloud offerings."

Madhuri Yechuri, CEO, Elotl

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“This breakthrough Wallaroo/Ampere solution allows enterprises to improve inference performance, increase energy efficiency, and balance their ML workloads across available compute resources much more effectively, all of which is critical to meeting the huge demand for AI computing resources today also while addressing the sustainability impact of the explosion in AI.“

-Vid Jain, chief executive officer of Wallaroo.AI

> Read More

"Using Ampere A1 instances on OCI with integrated Ampere Optimized AI library, we managed to right-size compute providing price-performance advantage on deep learning inferencing relative to GPUs and to other CPUs. We found an order of magnitude or more reduction in cloud resource costs, measured at 4 operating points for 2 cloud vendors, while avoiding operational complexity for changes in model serving resource needs and cloud offerings."

Madhuri Yechuri, CEO, Elotl

> Read More

Key Benefits

GPU-Free

Unmatched price-performance for a variety of ML workloads
Top-of-the-line energy efficiency
Quick and seamless provisioning with instant availability

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AI Efficiency

Reduce power consumption without sacrificing performance and build a sustainable future.

> Computer Vision
> Natural Language Processing
> Recommender Engines

Right-Sizing AI Compute

Best price-performance in the cloud and better value for AI inferencing compute.

FP16 vs FP32

FP16 data format boosts AI inference performance.

> Computer Vision
> Natural Language Processing
> Recommender Engines

The AI Platform Alliance:

Fostering open, efficient and sustainable use of AI

The AI Platform Alliance:

Fostering open, efficient and sustainable use of AI

Developer Center for AI

Ampere Optimized AI Frameworks offer seamless integration and transition of AI workloads from x86 architecture.

Developer Center for AI

Ampere Optimized AI Frameworks offer seamless integration and transition of AI workloads from x86 architecture.

LLM Inference with Ampere-based OCI A1

LLM Inference with Ampere-based OCI A1

Created At : April 10th 2024, 4:03:59 pm

Last Updated At : October 16th 2024, 7:39:51 pm

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