Co-hosted byPointFiveAWS

Your AI Stack Is Spending. Do You Know Where?

AI infrastructure spend is on every board's agenda — but most teams are still using tools built for a different era of cloud. AWS and PointFive break down what GenAI cost optimization actually looks like in practice — with a live look at DeepWaste AI in action.

Recorded May 12, 202630 minAWS + live demo + Q&A
  • The AWS GenAI stack reality — Bedrock, SageMaker, GPU workloads
  • DeepWaste AI detecting model-task mismatch and idle GPUs live
  • A real AWS customer story — what was missing, what they saved
  • Open Q&A on the hardest AI cost questions
Vishwa Kurakundi

Vishwa Kurakundi

Partner Solutions Architect
AWS

LinkedIn →

Taylor Houck

Taylor Houck

FinOps Evangelist
PointFive

LinkedIn →

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From GenAI Stack to Optimized Spend

A practitioner session for FinOps and engineering teams who are living with AI cost pressure and want a real answer.

  1. 01

    The AWS GenAI Stack — What You're Actually Running

    AWS sets the stage: foundation models on Bedrock, SageMaker endpoints, GPU workloads. Teams are building fast — costs are compounding faster.

  2. 02

    The Cost & Waste Gap — What Traditional Tools Miss

    AI workloads don't behave like traditional infrastructure. Billing data can't tell you if you're using the right model, if your PTUs are sized correctly, or if your GPUs are idle.

  3. 03

    PointFive Live Demo — DeepWaste AI in Action

    Live detection across Bedrock, SageMaker, Azure OpenAI, and GPU workloads: model-task mismatch, token overprovisioning, underutilized PTUs, idle GPU instances.

  4. 04

    Customer Use Case — Real AWS Results

    A real AWS customer story — what they were missing, what PointFive surfaced, and what they saved. The before/after that matters.

  5. 05

    What's Next + Q&A

    A preview of what's coming from PointFive, plus open Q&A on the hardest AI cost questions from the live audience.

Who Should Watch

FinOps Teams

Cloud cost owners at AWS accounts

Engineering Leaders

Running GenAI workloads on AWS

AI/ML Platform Teams

MLOps and inference at scale

AWS Partners

Co-sell and customer success

Ready to Find the Waste in Your AI Stack?

See DeepWaste AI run against your own AWS environment.

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