Why Specialized Hardware Demands Its Own AMM Design

Generic AMMs execute swaps on-chain, but GPU chains like Solana or Monad use parallel VMs where compute is the bottleneck. The solution is an intent-based AMM that shifts heavy computation (e.g., route optimization, MEV capture) to off-chain solvers, submitting only verified results.

• Key Benefit: Unlocks complex, multi-hop strategies impossible for in-block execution.
• Key Benefit: Parallel VM resources are reserved for verification, not wasted on swap logic.

Ethereum's global mempool creates toxic MEV. Specialized hardware enables fast, localized order flow networks (like Jito on Solana) that batch and settle intents. A generic AMM cannot interface with this private order flow, leaving value on the table.

• Key Benefit: Native integration with searcher-builders for ~90% MEV recapture.
• Key Benefit: Eliminates frontrunning, enabling fair-price execution for users.

Ethereum AMMs have ~12-minute finality. High-throughput chains offer sub-second pre-confirmations via leaders or proposers. A specialized AMM must provide instant liquidity guarantees by locking in quotes and settlement paths before the block is finalized, similar to Across Protocol's optimistic bridging.

• Key Benefit: User experience matches chain speed with <1s quote finality.
• Key Benefit: Enables new primitives like flash loans that settle in a single block cycle.

The Problem: Solana's parallel execution is wasted on AMMs designed for sequential EVM blocks.\nThe Solution: Eclipse's SVM-based AMM is built from the ground up for parallel transaction processing, treating each GPU core as a dedicated market maker.\n- Parallelizes liquidity pool operations across cores, eliminating state contention.\n- Enables sub-100ms finality for complex multi-hop swaps.

The Problem: Just-in-Time (JIT) liquidity, popularized by Uniswap V4, requires ultra-low-latency order routing that's impossible on general-purpose hardware.\nThe Solution: Dedicated FPGA-based sequencers can compute optimal JIT liquidity allocation in microseconds, acting as a specialized co-processor for the AMM.\n- Hard-coded routing logic eliminates software overhead.\n- Enables real-time MEV capture for LPs, turning a cost into a yield source.

The Problem: Monad's pipelined execution and 1-second finality break the synchronous assumptions of Uniswap V3, leading to rampant failed arbitrage.\nThe Solution: AMMs on Monad must be stateful, tracking pending transactions across execution stages to provide deterministic swap pricing.\n- Pipelined liquidity allows concurrent access to pool state without locks.\n- Integrates with native MonadDB for ~10k read/write ops per second per pool.

The Problem: Central Limit Order Books (CLOBs) offer better price discovery but are too slow on-chain; AMMs are fast but suffer from impermanent loss.\nThe Solution: Sei V2 and similar chains use FPGA validators to run a parallelized order-matching engine alongside AMM pools.\n- Single-block order execution finality via hardware-accelerated matching.\n- Dynamic liquidity that shifts between passive AMM and active CLOB based on volatility.