The Venom Foundation has proposed a standardized blockchain transactions-per-second benchmark model to bring reproducibility and transparency to network performance claims across Layer 1 and Layer 2 ecosystems. The framework addresses wide discrepancies in throughput metrics by requiring standardized disclosures on validator configurations, hardware specifications, and workload settings.
The Core Problem of Fragmented Throughput Metrics
Blockchains routinely market jaw-dropping transaction speeds, but these numbers often tell a misleading story. According to the Venom Foundation, the fundamental issue isn’t necessarily inaccurate reporting. Instead, it’s the complete lack of a common definition for what a TPS figure actually represents.
A single network can produce wildly divergent throughput results depending on whether the measurement highlights theoretical capacity, short-term peaks, or sustained activity under specific transaction types. Without contextual parameters, raw throughput numbers remain practically useless for institutional infrastructure consumers, developers, and auditors trying to evaluate underlying network capabilities.
Real-World Discrepancies and the Solana Benchmark Debate
Network performance reporting has long suffered from apples-to-oranges comparisons. Consider how different entities measure the capacity of established Layer 1 chains.
Autonomous analytics platform Chainspect has listed a peak 65,000 TPS capacity for the Solana ecosystem. However, recorded maximums within a more than 100-block window sit significantly lower at 7,700 TPS, while real-time operational activity typically hovers in the low thousands.
During a mainnet stress experiment, a single block generated a broadly reported 107,540 TPS figure. Crucially, the vast majority of that experimental workload comprised no-operation project calls rather than ordinary smart contract interactions or complex value transfers. These stark differences prove that headline numbers rarely reflect day-to-day operational realities.
“A TPS figure published without its test conditions tells you almost nothing,” said Christopher Louis Tsu, CEO of the Venom Foundation. Six-figure throughput claims naturally trigger immediate engineering questions regarding transaction representation, validator counts, hardware architecture, and underlying data locations.
The Proposed Verification Framework
To fix these systemic reporting gaps, the Venom Foundation is pushing L1 networks, L2 protocols, auditors, and benchmark platforms to adopt a standardized evidentiary framework. Under this proposed model, every published throughput metric must be accompanied by granular disclosures.
Networks would be required to specify the exact duration of performance tests to draw a clear line between short monetary peak sizes and true sustained throughput. Furthermore, reporting disclosures must account for:
- Validator numbers, stake distribution, and geographic decentralization.
- Underlying cloud infrastructure, network bandwidth, and latency conditions.
- Specific hardware specifications utilized by node operators.
- The precise process and timing governing transaction finality.
By enforcing these standardized parameters, the industry can move away from marketing-driven vanity metrics toward reproducible engineering data. The foundation also pointed to the successful public performance testing of TON back in 2023 as an example of relatively transparent benchmarking.
What This Means for Enterprise Infrastructure
As blockchain architecture pivots toward institutional utilities—such as payments, digital asset custody, and real-time financial settlement—predictable performance data is no longer optional.
Autonomous security audits have long dominated smart contract infrastructure, but they do little to evaluate raw network scalability under heavy load.
