The fastest Ethereum API for dApps that can't tolerate downtime

Geo-distributed, high-available ETH endpoint with 99.99% uptime.
Built by infrastructure engineers running nodes for leading Ethereum protocols, DeFi apps, and trading desks.

Used by wallets, aggregators, and on-chain data teams, MEV searchers, and wallets.

Read the Docs
99.99%

uptime across all regions

85ms

average global latency

90+

availability zones worldwide

Ethereum RPC built for products where slow reads and unstable endpoints cost users and revenue, engineered for lower latency, resilient transaction flow, and consistent performance across global traffic.

RPC Fast vs Mainstream Ethereum APIs

Lower Read Latency
Return chain data faster from the nearest available zones, with 85.6 ms average latency worldwide.
Stable Under Spikes

AI-based predictive autoscaling helps maintain performance when traffic patterns change fast.
Uptime You Can Build On
99.99% uptime with healthy production nodes for teams that need Ethereum access to stay online without babysitting infra.
Cleaner Production Stack

Clear rate limits and stream capacity based on throughput and bandwidth.

Years of production Ethereum infrastructure, now available as one high-availability RPC stack

Own the Data

Fast, geo-distributed Ethereum reads for apps where stale data breaks UX and trust. Built to return current chain data with lower latency from the nearest available zones.

Nearest-zone request routing


Consistent transaction and contract data


Healthy production nodes only

Own the Uptime

Ethereum RPC engineered to stay responsive through traffic spikes and heavy usage. Predictive autoscaling helps keep your endpoints available without manual firefighting.

AI-based traffic prediction


Autoscaling before load spikes hit


99.99% uptime target

Own the Endpoint

Production-ready Ethereum access built on the official Geth client for teams that need predictable behavior, cleaner operations, and less infra overhead.

Official Geth client support


Automatic software updates


Simple control panel and quickstart

RPC Fast Pricing
Start now — Pay as you like it

Free
$0
No credit card needed
Available apps:
5
Included CU:
300,000,000
Https & Websockets:
Dashboard & Statistics:
Archive data:
Support:
Region:
Europe
Possible throughput:
Basic
AI-based predictive autoscaling:
The most popular
Growth
$39/mo
Over-usage price: $0.8 per million CU
Available apps:
15
Included CU:
500,000,000
Https & Websockets:
Dashboard & Statistics:
Archive data:
Support:
Basic
Region:
Global
Possible throughput:
Maximum
AI-based predictive autoscaling:
Enterprise
Let’s discuss
Available apps:
Unlimited
Included CU:
Unlimited
Https & Websockets:
Dashboard & Statistics:
Archive data:
Support:
Custom SLA
Region:
Global
Possible throughput:
Maximum
AI-based predictive autoscaling:

Need more than shared Ethereum RPC? Move to a dedicated node stack

Ethereum dedicated nodes

Get fully dedicated Ethereum nodes with isolated resources, lower latency, and setup tailored to your workload. RPC Fast helps teams move beyond shared RPC with more control, stronger security, and infrastructure shaped around production needs.

Dedicated resources for stable performance

Custom setup, plugins, and infrastructure options

Hands-on support from blockchain engineers

Dedicated Node Clusters

Built for high-load apps that demand geo-distributed reach, peak performance, ultra-low latency, and fully custom infrastructure.

Any public or private chain

Full customization: software, plugins, and data center locations

Predictive AI-based nodes auto-scaling

Hands-on expert support

How top teams crushed latency and costs with RPC Fast

1/1
Copy-trading Bot Case Study
Rust-based Solana copy-trading bot • Target: same-slot or +1-slot execution
Learn more

Request

  • Land transactions in the same Solana slot or the following one
  • Maintain 10+ TPS sustained broadcast without hitting rate limits
  • Keep end-to-end latency (detect → land) under >300 ms
  • Run on dedicated, co-located infra with sub-1 ms RPC latency

Solution

  • Execution accuracy: same slot or +1 slot behind the target wallet
  • Transaction landing: 200–300 ms average, 15 ms lowest recorded
  • 100,000-call stress test: sub-1 ms RPC responses
  • Shred-level ingestion via Yellowstone gRPC + Jito shred stream
Mizar Case Study
All-in-one CeFi+DeFi trading platform • Cross-chain • Millions of daily requests
Learn more

Before

  • No prod-ready Solana/Base nodes; launch needed in days
  • Risk of missed events and analytics lag
  • Limited observability; manual ops across chains
  • Provisioning delays & hardware lead times

After

  • 2× Base + 1× Solana live in 2–3 days
  • Yellowstone gRPC + bloXroute/Jito → lower latency
  • Pre-synced spares → ~15-min node swap/scale
  • Hybrid bare metal + cloud, Grafana & custom gRPC proxy for observability
Anonymous HFT Trading Firm Case Study
Algorithmic trading team on Solana (real-time DEX data; anonymity required)
Learn more

    Before

    • Gaps & downtime on in-house/public endpoints
    • Latency spikes under load
    • Single-endpoint risk; poor visibility
    • High request load → higher cost

      After

      • Redundant dual nodes (bare metal) + unified endpoint
      • Near-100% availability, zero data loss
      • gRPC streaming + Jito + bloXroute → faster books
      • Fewer RPC calls → lower cost
      Aurora Delta Bot MVP Case Study
      Solana copy-trading bot project • Single-chain to start • Hundreds of thousands of daily calls

        Before

        • Ran on a mix of public Solana RPCs and a single in-house node with frequent desyncs
        • Latency spikes during volatile periods caused missed fills and stale copy signals
        • No clear visibility into RPC errors vs. strategy issues; debugging slowed delivery
        • Solo DevOps engineer struggled with upgrades, re-syncs, and hardware issues

          After

          • Moved to a dedicated Solana node tuned for trading workloads and stable low latency
          • More consistent TX landing times during peak volatility, improving strategy execution
          • Centralized metrics and logs helped distinguish infra problems from bot logic issues
          • RPC Fast team handles node maintenance and re-syncs, freeing internal engineer time
          Baylight Research Corporate Project Case Study
          Token flows and DeFi analytics on Solana • Internal dashboards for a small fund • Mixed live + batch jobs

            Before

            • Pulled data from various public endpoints with different behaviors and limits
            • Occasional lags in fresh data made “near real-time” dashboards unreliable for PMs
            • Custom scripts monitored lag, but there was no coordinated incident response
            • Concern that adding more dashboards would break fragile data pipelines

              After

              • Standardized on a managed Solana node setup from RPC Fast for primary workloads
              • More stable access to current and recent data improved trust in internal dashboards
              • Monitoring and basic alerting around node health reduced surprise outages
              • Fund can gradually expand dashboard coverage without redesigning infrastructure each time
              HarborSight Dashboard Project Case Study
              Solana on-chain dashboards • Validator and DeFi metrics • Mix of live and historical queries

                Before

                • Depended on shared RPCs for both live and historical data; frequent timeouts on heavy queries
                • Indexing jobs had to pause when public endpoints rate-limited or lagged behind the tip
                • No reliable snapshot process; any corruption meant multi-day re-sync from scratch
                • Analysts had to throttle dashboards to avoid overloading infra

                After

                • Switched to dedicated Solana full nodes operated by RPC Fast
                • Verified snapshots and monitoring reduced re-sync windows from days to hours
                • Dashboards now run heavier queries without constant query retries and timeouts
                • Team can iterate on new metrics without worrying about overloading shared infra
                HelioFlux Labs MVP Case Study
                Private MEV/searcher desk • Solana + Ethereum + Base • Sub-250 ms p95 target

                  Before

                  • In-house and public endpoints regularly dropped mempool/events under peak load
                  • Single-region infra created latency gaps vs. competitors on Solana and Ethereum
                  • Ad-hoc logging; no clear view into missed bundles or node health
                  • Frequent tuning and firefighting by traders instead of a dedicated infra team

                    After

                    • Dedicated, low-latency Solana HFT node plus tuned Ethereum/Base endpoints
                    • Multi-region setup (US/EU) with direct node access reduced tail latency by up to 5×
                    • gRPC/WebSocket streaming for real-time order flow with near-zero missed events
                    • RPC Fast team manages optimization, upgrades, and incident response as a service
                    9 years of on-hand experience in Kubernetes and blockchain
                    We’re handling projects with a load of 1.5 million requests per day
                    Our team provides top-notch services for 99.9% of SLA

                    What Web3 leaders say about Dysnix

                    Evgeny Medvedev

                    Chief Solutions Architect, Nansen.ai

                    The team considers all our wishes and is eager to accomplish our additional requests.

                    See on Clutch

                    Alex Gluchowski

                    CEO, Matter Labs

                    The Dysnix team has a high level of professionalism in managing projects.

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                    Roman Cherednik

                    CTO, Financial Services Company

                    Dysnix has proved itself as a reliable partner over the long run.

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                    Dmytro Haidashenko

                    CTO, Shelf.Network

                    The DevOps engineers' work is organized in such a way that their response takes minimal time.

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                    Roman Cherednik

                    CTO, Financial Services Firm

                    The Dysnix team embarked on this task with commitment and enthusiasm.

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                    Knuth Rüffer

                    CEO, Scalors GmbH

                    Dysnix team has changed a lot of things in the course of the project and it works much better now.

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                    Serhii Androsiuk

                    CEO, Hackless

                    Communications with Dysnix's company specialists are at a high level.

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                    Yurii Kyparus

                    Co-Founder & CEO, Wallchain

                    We were pleased with their professionalism, responsibility, and great communication.

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                    GO FASTER ON ETHEREUM

                    Ready for production-grade Ethereum RPC?

                    Launch with low-latency RPC, consistent chain data, and infrastructure built to stay stable under load.

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