G2

Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

7/30/2026

"High-Performance, Cost-Efficient AI Inference with Inferentia2 and AWS Neuron"

4/5

What do you like best about Amazon Inferentia?

Amazon Inferentia is purpose-built for high-performance machine learning inference, helping organisations serve deep learning and generative AI models with lower latency and reduced infrastructure costs. I especially like Inferentia2, the AWS Neuron SDK, the Neuron Runtime, and the seamless integration with SageMaker AI and Amazon EC2 Inf2 instances.

In my experience, the platform performs exceptionally well when deploying large language models, recommendation systems, computer vision, and NLP inference workloads at scale. Optimisations via the Neuron compiler can improve throughput while lowering inference costs compared with many GPU-based deployments. The managed tooling also makes it easier to move into production, then deploy and scale reliably. Review collected by and hosted on G2.com.

What do you dislike about Amazon Inferentia?

Existing inference pipelines may require model compilation and optimisation using the Neuron SDK. Some specialised frameworks and cutting-edge model architectures may require additional tuning before achieving optimal performance. Review collected by and hosted on G2.com.

What problems is Amazon Inferentia solving and how is that benefiting you?

Inferentia reduced the cost of serving machine learning models in production while maintaining low latency for high-volume inference.

Example: Recommendation models and LLM inference endpoints were deployed on Inf2 instances through SageMaker AI. The Neuron SDK optimised inference execution, allowing the platform to serve significantly more prediction requests per instance while reducing overall compute costs. Review collected by and hosted on G2.com.