Performance benchmarks are vital for validating infrastructure claims, and Lagrange's metrics showcase exceptional throughput and finality. Their ZK Prover Network achieves 1000 TPS for simple proofs, measured via standardized Gnark benchmarks in controlled 2025 tests.
Finality averages 5 seconds for aggregated proofs, thanks to hyper-parallel sharding that processes 100+ tasks concurrently. Bottlenecks like memory bandwidth are addressed with NVIDIA GPU acceleration, boosting speed by 50 percent.
Methodology involves real-world simulations: For DeepProve zkML, they tested Llama-2 models, proving inferences 158x faster than RISC Zero, with end-to-end time under 1 minute.
Results from independent audits confirm 500 TPS for cross-chain attestations, with 99.99 percent success rate over 1 million trials.
Key bottlenecks include proof aggregation, mitigated by recursive SNARKs reducing size by 80 percent.
Comparisons: Lagrange outperforms Polygon zkEVM by 3x in TPS for similar workloads.
$LA economics tie into performance, as faster provers earn higher $LA rewards, incentivizing optimizations.
These benchmarks position Lagrange for mass adoption in AI and DeFi.
#lagrange continues refining, with Q3 2025 targets at 2000 TPS.
@Lagrange Official shares raw data on GitHub for verification.
In short, Lagrange's benchmarks prove its readiness for high-stakes verifiable compute.
