Research
Technical Deep Dives
In-depth research on cloud cost optimization, FinOps for AI, and infrastructure efficiency best practices.
Ensure LLM Efficiency From the Start
82% of executives experienced significant increases in GenAI costs, with 68% exceeding budgets by more than 10%. A joint PointFive and Capgemini perspective on building FinOps into the design phase, not the review cycle.
Managing LLM Costs in Azure OpenAI
Azure OpenAI's billing structures are complex, and traditional FinOps practices can't keep up. A look at the unique cost-management challenges of managed LLMs and the framework that closes the visibility gap.
Smarter Azure OpenAI Cost Management
Azure OpenAI workloads reshape the cost profile of the cloud. Here are four cost-saving patterns emerging from platform design efforts and technical evaluations of PTU- and PAYG-based deployments.
Compute Disks: The Hidden Cost Optimization Opportunity
Storage often flies under the radar while teams chase compute costs, yet inappropriate disk selection can balloon Azure bills. A practical guide to disk tiers, the Premium SSD default trap, and where Premium SSD v2 unlocks savings without performance trade-offs.
Master Your GenAI Unit Economics Across Every Cloud
PointFive introduces multi-cloud GenAI analysis capabilities, unifying spend and usage data from AWS Bedrock, GCP Vertex AI, and Azure OpenAI into a single efficiency dashboard.
The Tokenomics Frontier
Organizations deploying Generative AI have inadvertently created a 'Black Box' in their cloud bills. Here's how tokenomics-based management changes the game.