Savings Plans

How to Reduce GPU Cloud Spend for AI/ML Training While Keeping the Flexibility to Scale Up and Down Quickly

GPU compute is the fastest-growing and least-optimized line item on most cloud bills. Here's how AI and ML teams can cut costs significantly without sacrificing the flexibility to scale training runs up and down.

Cloud Costs

Most teams are leaving cloud savings on the table. Here's why.

Most teams leave cloud savings on the table — not from ignorance, but from friction. CUDly is a free, open-source CLI that discovers, analyzes, and purchases Reserved Instances, Savings Plans, and CUDs in one command. Dry-run by default. No surprises.

Savings Plans

Azure Savings Plans: Why Scope Is the Dial Nobody Talks About

Scope determines where your Azure Savings Plan discount can apply, not the discount rate itself. Shared scope delivers the highest utilization and therefore the most realized savings. Archera uses it by default. Narrow scopes only make sense for strict chargeback needs, and even then, tagging usually solves it without the utilization cost. 

Cloud Costs

Cloud Commitments, Explained by a Guy Who's Been Pay-As-You-Go for 17 Years

On-demand cloud pricing is a premium you pay for flexibility. At scale, it compounds fast. Commitments can save you north of 80%, but the lock-in risk is real. Cloud providers want you to commit because they need guaranteed revenue to finance data centers. The discounts aren't generosity, they're a business model. Archera insures your commitments: get the three-year rate, but if your usage drops, we pay back the difference. AWS, Azure, and GCP all sell it through their own marketplaces. In 2026, GPU commitments aren't just about saving money, they're often the only way to get capacity at all.

Cloud Costs, AWS

How to Optimize Cloud Usage Across Dev, Staging, and Prod to Cut Waste Without Slowing Down the Team

Non-production environments typically account for 20–40% of cloud spend but are rarely committed or actively governed Dev, staging, and production require different optimization tactics — blanket policies create unnecessary friction Automatic scheduling, rightsizing standards, and expiration policies are the highest-leverage levers for dev environments Semi-permanent staging environments are strong commitment candidates — short-term discount instruments capture savings without lock-in risk Tagging, showback reporting, and unit economics visibility are foundational to sustained multi-environment optimization

Announcements

Archera + Sedai: How We're Closing the Gaps in Your Cloud Budget

Sedai and Archera are partnering to optimize the entire cloud cost lifecycle, from insurance-backed commitments to the configuration of individual cloud resources. For FinOps and finance teams under pressure to cut cloud spend without adding headcount; this closes two gaps that have been quietly compounding your losses.