Why Fintech Production Workloads Belong on Bare Metal in 2026

Key takeaways

1. A majority of today’s fintech workloads are predictable and don’t need elastic infrastructure to support them. 
2. However, many fintech organizations are continuing to pay a premium for burst-capable resources supporting workloads that don’t truly require them. 
3. Workload realignment can translate to cost savings. Hivelocity enables fintech organizations to get a cloud-native experience alongside bare metal economics. 

If your CFO asked you to find seven million dollars in savings before the next board meeting, where would you look? For fintech, the cloud bill is a great place to start.

Over time, many fintech organizations have seen the cardholder data environment (CDE) shrink repeatedly, eventually arriving at a single rack of compute and a tokenization vault.  Which leaves many asking, “If our CDE is minimized, why is the cloud bill still so high?” 

Where The Unneeded Costs Lie

Typically, organizations find the source of high cloud costs outside the CDE. In most fintech environments, the regulated workloads account for only a small percentage of total infrastructure spend. Most of the bill comes from the production systems surrounding the payment stack; the workloads that are no longer subject to PCI requirements but never moved off the compliance-tier infrastructure. 

That includes systems like match engines, market data ingestion, validator clusters, CI/CD farms, fraud, KYC, and AML pipelines, and analytics and settlement processing.  None of these workloads are particularly “cloud native” in the economic sense that hyperscale optimizes for. They rarely behave like the burst-heavy workloads elastic pricing was designed around.  

The Impact of Misalignment

Hyperscale cloud pricing is built around pay-per-second billing, autoscaling groups, and on-demand pricing. These concepts make perfect sense when demand is unpredictable. The premium cost also makes sense, as the provider absorbs the risk of sudden spikes. 

That said, a majority of fintech production systems are not unpredictable. Instead, their peaks happen at known times, and there’s a consistent baseline of utilization. In other words: there’s a mismatch between how production systems operate and how the underlying infrastructure is priced.

The repatriation and realignment of workloads based on new CDE realities is part of a larger cloud trend—the embrace of the hybrid model. According to the Flexera 2026 State of the Cloud Report, 73% of organizations now operate hybrid estates. The urgency for optimization efforts is illustrated by the wasted cloud spend rising to 29%, reversing a five-year downward trend.2 

Meanwhile, transaction volume is also accelerating. FedNow reported roughly 460% year-over-year volume growth between 2024 and 2025, with more than 1,600 participating institutions.3  

The bigger the fintech, the more cloud spend gets locked into pricing shapes that no longer match the workloads underneath. 

Recalibrate Your Infrastructure to Rein in Costs

For most fintechs, the answer is not abandoning the cloud. Hyperscale platforms are great for workloads that need elasticity. But when teams start separating steady-state production compute from burst-oriented infrastructure, the opportunities for savings make themselves clear. 

Hivelocity provides fintechs with a bare-metal automation layer for the steady-state stack and PCI-attested island for the CDE. At a high level, this delivers two compelling benefits: 

1. The flexibility and simplicity of cloud, but with bare-metal economic advantages. Through API-driven provisioning, automated networking, IPMI access, fast deployment, the myVelocity portal and public API,  Hivelocity provides the best of both worlds. Teams retain the workflow they’re already comfortable with. 

2. PCI scope only where it’s needed. The customer-managed CDE lives on its own unique tier. Everything else runs on standard infrastructure for optimal cost-efficiency. 

Don’t Keep Paying for Elasticity You Don’t Need 

Tokenization shrunk PCI scope, but the workload shape stayed the same. For many fintechs, that gap is where real cost savings are hiding. Now’s the time to determine what truly needs elasticity and what doesn’t.  

With Hivelocity, you keep the cloud workflow while running on dedicated hardware, priced for sustained load—with a purpose-built compliance environment for only those workloads that truly need it. 

FAQs

Q: How is Tier 2 different from Tier 3 in the Hivelocity Fintech Bundles? 
A: Tier 2 Production Compute is built for workloads that live outside the regulated zone. Tier 3 Hi-Compliance Compute is designed for the customer-managed CDE, running in a PCI-validated facility foundation. Active work is underway to extend the validated facility footprint.  

Q: Will our workflow change after repatriation? 
A: No. Your provisioning workflow remains essentially unchanged from the hyperscaler experience.  

Q: Which workloads can we shift to Tier 2 infrastructure? 
A: Common Tier 2 workloads for fintechs include match engines, market data ingestion and distribution, blockchain validators with RPC clusters, KYC and AML on tokenized data, embedded finance backends, real-time fraud scoring, and open banking integrations.  

Citations:

1. Flexera,2026 State of the Cloud Report, 2026 
2. Ibid.
3. Federal Reserve,FedNow Service Year in Review, 2025