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Ampere AI

The best GPU-Free alternative for AI Inferencing workloads

Are you a developer?    > Power Your AI

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®

GPU-Free AI Inference Servers

"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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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

> Get Started with Design

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.


> Read Blog

FP16 vs FP32

FP16 data format boosts AI inference performance.


> Computer Vision
> Natural Language Processing
> Recommender Engines

Developer Center for AI

Ampere Cloud Native Processors with Ampere Optimized AI Frameworks (PyTorch, TensorFlow, and ONNXRuntime) offer seamless integration making for a quick and easy transition from running AI workloads on the legacy x86 architecture.

AI Platform Alliance

The AI Platform Alliance (AIPA) fosters open, efficient and sustainable use of AI at-scale working to validate joint AI solutions that provide a better alternative than the GPU-based status quo to accelerate the pace of AI innovation.

Created At : April 10th 2024, 4:03:59 pm
Last Updated At : October 1st 2024, 5:57:27 pm
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