Arc Mainnet Is Live: Why Choosing the Right RPC Provider Matters for Builders

Circle’s Arc mainnet went live on September 16, 2026, bringing a new Layer 1 blockchain designed specifically for financial applications into production.

The launch comes with an unusually institutional validator set. Arc’s 11 founding validators are BlackRock, DTCC, Galaxy, Global Payments, ICE, Mastercard, MoneyGram, SBI Group, Standard Chartered, Sumitomo Corporation and Visa, alongside Circle itself.

But for developers, going from mainnet launch to production applications introduces another question: how applications reliably access the network.

Arc is designed for workloads ranging from stablecoin payments and foreign exchange to tokenized assets, treasury operations and AI-driven transactions. Those use cases can place very different demands on blockchain infrastructure than a typical consumer dApp.

That makes the choice of RPC infrastructure an important part of the architecture from the beginning.

What Arc workloads require from RPC infrastructure

Arc is EVM-compatible and uses Reth for execution together with Malachite consensus. The network targets deterministic sub-second finality, with blocks produced roughly every 0.5 seconds.

For developers, however, fast finality at the protocol level is only part of the equation. 

Applications still need infrastructure capable of exposing that performance consistently.

Four characteristics become particularly relevant: latency, historical data access, infrastructure control and compliance.

1. Deterministic latency

Arc is built around fast settlement. Its combination of Malachite consensus and Reth execution provides deterministic finality in under one second, rather than relying on probabilistic confirmation over multiple blocks.

That characteristic is particularly relevant for payment, trading, FX and other financial applications where confirmation time directly affects the user or transaction flow.

An RPC layer therefore needs to avoid becoming the bottleneck between the application and the underlying network.

Consistent latency can matter as much as raw speed. A payment system, for example, benefits little from sub-second blockchain finality if RPC response times become unpredictable during periods of high demand.

For production Arc applications, developers should consequently evaluate not only average response times but also latency consistency, geographic routing and the infrastructure available to handle traffic spikes.

2. Archive and tracing access

Real-time transaction submission is only one part of operating an onchain financial application.

Developers may also need historical blockchain state for accounting, analytics, transaction reconstruction, reconciliation and auditing. Debugging smart contracts and investigating failed transactions can similarly require tracing capabilities beyond standard RPC calls.

Archive access therefore becomes particularly important for applications that need to reconstruct historical states rather than simply query the latest state of the blockchain.

The requirement is especially relevant for financial infrastructure, where historical information may be needed by several internal systems long after a transaction has settled.

When selecting an Arc RPC provider, teams should consequently establish early whether archive data and debug or trace methods are available and under what deployment model.

3. Data sovereignty and infrastructure control

Not every organization can route blockchain traffic through the same infrastructure architecture.

Financial institutions, fintech companies and enterprises may have internal requirements governing where infrastructure runs, how data is handled or which systems can be operated by third parties.

For some applications, a managed RPC endpoint may be sufficient. Others may require dedicated resources or nodes deployed inside infrastructure controlled by the organization itself.

The ability to move between those models can become important as a project evolves from development to production.

A team might start with shared RPC infrastructure to reduce operational overhead, for example, before moving critical workloads to dedicated infrastructure or deploying nodes within its own cloud or data environment.

4. Compliance-grade security attestations

Infrastructure security becomes increasingly important when blockchain applications interact with institutional financial systems.

SOC 2 Type II and ISO 27001 certifications do not make an application compliant by themselves, but they can provide independently assessed evidence about the controls and security-management processes of an infrastructure provider.

That distinction matters for companies conducting vendor reviews or building systems subject to internal security and risk-management requirements.

For institutional Arc deployments, RPC evaluation may therefore extend beyond performance metrics to include security controls, operational processes and recognized third-party attestations.

How Chainstack supports Arc

For teams evaluating infrastructure for the new network, Chainstack provides Arc RPC access through different deployment models designed to cover the path from development to production.

Rather than requiring every Arc application to adopt the same infrastructure configuration, the platform offers Global Nodes, Dedicated Nodes and Self-Hosted deployments.

• Global Nodes

Global Nodes provide shared, geo-balanced RPC infrastructure.

Requests can be routed across regions while the underlying infrastructure scales with demand, making the model suitable for developers that want to connect to Arc without operating the blockchain infrastructure themselves.

This can be particularly useful during development or for applications that need scalable RPC access while minimizing node-management overhead.

• Dedicated Nodes

For workloads requiring isolated resources, Chainstack also offers Dedicated Nodes.

Unlike shared infrastructure, dedicated deployments provide compute resources reserved for a specific organization, allowing for more predictable capacity and greater control over node configuration.

This model can be relevant for high-volume payment applications, indexing systems or other production workloads where resource isolation and consistent performance are priorities.

• Chainstack Self-Hosted

The third model is Self-Hosted infrastructure.

Here, organizations can deploy Arc nodes on infrastructure they control while using Chainstack for deployment and node-management functions such as automation, monitoring, snapshots and self-healing.

The model addresses a different requirement from pure performance: infrastructure sovereignty.

It can be useful for organizations that need greater control over where their nodes operate or that have internal policies governing infrastructure and data.

Chainstack says its Arc infrastructure is designed for both mainnet and testnet workloads and supports standard Ethereum JSON-RPC, reflecting Arc’s EVM compatibility. This allows developers to work with familiar Ethereum tooling while accessing Arc.

The infrastructure provider also highlights support for the types of workloads Arc is targeting, including payments, treasury systems, FX, tokenized assets, analytics and AI-agent applications.

The three deployment models ultimately address different operational requirements. Global Nodes prioritize accessible and scalable managed RPC connectivity; Dedicated Nodes add resource isolation and configuration control; and Self-Hosted deployments provide organizations with greater control over the underlying infrastructure.

Why RPC infrastructure matters as Arc moves into production

Arc’s mainnet launch shifts the conversation from what developers could build on the network to how those applications perform under real production conditions.

That makes infrastructure decisions more consequential.

An RPC provider cannot be evaluated on latency alone. Fast responses without sufficient historical data can limit analytics and reconciliation. Archive access without reliable production performance creates a different bottleneck. And both may be insufficient for an institution that requires control over infrastructure location or independently assessed security processes.

For builders choosing infrastructure for Arc, the relevant question is therefore not which provider performs best on a single metric.

It is whether latency, archive and tracing capabilities, data sovereignty and compliance-grade security attestations can work together in an infrastructure model capable of supporting the application as it scales.

Getting those decisions right early can reduce the need to redesign critical infrastructure later — when an Arc application has already moved from experimentation to production.