Sei Labs Hit 100,000 Transactions Per Second Benchmark

The firm reached the milestone in laboratory tests of its new Hermes consensus protocol.

Updated on Sept. 24, 2026 in Artificial Intelligence

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Sei Labs reached a benchmark of 100,000 transactions per second during laboratory testing of its new Hermes consensus protocol. AI Illustration. Upload story photo >

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Sei Labs has achieved a throughput of 100,000 transactions per second during laboratory testing of its Hermes consensus protocol. The tests utilized 51 validator replicas spread across four European regions to measure performance capabilities.

Why it matters

This development is part of the broader Giga roadmap, which seeks to enhance network capacity and reduce latency for high-frequency financial applications.

The Hermes protocol achieved a median finality of 68 ms and a 95th-percentile finality of 101 ms during the test. The system utilizes a shared prefix to finalize the heaviest common prefix among votes while reducing view changes to maintain speed.

The players

Sei Labs

Sei Labs is a blockchain technology developer focused on creating high-performance infrastructure for decentralized finance.

The details

The testing architecture relied on 51 validator replicas operating across four European regions. These protocols were specifically designed to minimize network latency during non-optimal conditions as part of the company's long-term scaling strategy.

Timeline

  1. The 100,000 TPS benchmark test results were reported in September 2026.

The Tech Race

This achievement represents a significant step in the ongoing industry push to increase transaction throughput for blockchain networks, directly positioning Sei Labs to compete with existing high-frequency financial infrastructure. These advancements reflect a broader shift toward replacing legacy consensus mechanisms with highly optimized protocols designed for mass-scale adoption.

Increased transaction throughput and lower finality times could eventually lead to faster and more reliable decentralized financial applications for users. While these laboratory results do not impact daily usage currently, they pave the way for future software updates that improve overall platform responsiveness.

The takeaway

Developers continue to push the theoretical limits of blockchain finality to make decentralized networks competitive with traditional financial systems. As these protocols mature, the industry will likely shift focus from raw laboratory throughput toward real-world stability on distributed networks.

Further reading

For more information on the evolving landscape of high-performance computing, visit Artificial Intelligence.

Source note: This article includes information reported by Crypto Economy.

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