Blockchains don’t need more TPS. They need real compute. 🔹 Today’s chains choke under that load. 🔸 @EclipseFND is building a tech stack that can handle significant on-chain activity with GigaCompute. Let’s dive in 🧵

What is @EclipseFND? 🔹 Most chains promise "scale." Eclipse delivers something deeper. 🔸 GigaCompute: real compute capacity for AI agents, game logic, and complex DeFi. It's not about TPS. It's about performance that unlocks new use cases.

How does Eclipse actually work? 🔹 Execution: SVM Mainnet (custom Solana VM) 🔸 Data Availability: @celestia 🔹 Settlement: @Ethereum 🔸 Verification: @RiscZero Eclipse runs its own L2 execution, posts data to Celestia, and settles commitments on Ethereum with proofs generated by Risc Zero, connecting it all securely.

Most chains run on generic setups and hit generic ceilings. Eclipse breaks through by designing hardware and software together. 🔸 SmartNICs for network acceleration 🔹 FPGA for custom ops 🔸 Contention-aware scheduling on modern CPUs 🔹 Custom AKVS tuned to hardware

GSVM introduces adaptive infrastructure: 🔸 Dynamic NVMe storage + execution core provisioning 🔹 Multi-scheduler architecture 🔸 Local caching for low-latency performance Result? A blockchain that grows with your dApp.

GSVM performance comes from stacking improvements across every layer: 🔸 Networking: near-line-speed tx routing, app-specific sequencing 🔹 Runtime: reinforcement learning, hybrid concurrency 🔸 Storage: sequencer-driven caching, NVMe parallelism, SSD-optimized accounts DB GSVM prefetches, reallocates, and isolates workloads before they collide.

Solana’s SVM faced its biggest test during the $TRUMP memecoin event, and it cracked. 🔸 400K new users flooded in 🔹 App hit #1 in Finance 🔸 Priority fees spiked 5,000x 🔹 Non-vote transactions dropped 66% 🔸 Compute per block fell by half

Why? 🔹The SVM’s concurrency model couldn’t keep up. 🔸Hot programs created contention. 🔹 Threads sat idle. 🔸Throughput collapsed. Eclipse took notes. And built better.

Solana’s SVM breaks under stress: 🔸 Agave often runs single-threaded 🔹 93% of computing goes unused 🔸 RAM issues cause latency spikes GSVM fixes this: 🔸Real concurrency 🔹Smarter usage of resources 🔸Fully utilized threads

What Powers GigaCompute? 🔹 Profile-guided optimizations 🔸 Self-improving runtime via ML 🔹 Hardware–software co-design (FPGAs, GPUs) 🔸 Hotspot Islands 🔹 Near-line rate processing This is performance engineering, not hype.

L2s like Eclipse inherit Ethereum security, but without its limits. GSVM unlocks design freedom: 🔹 Custom hardware 🔸 Performance-first execution 🔹 Aggressive caching 🔸 No consensus bottlenecks

And it’s not just theory. 🔸 25% of all Solana txs can be pre-applied 🔹 Signature verification offloaded to FPGAs 🔸 Key-value storage latency slashed with co-designed memory hierarchies 🔹 Predictive scheduling built on real workloads Every % of compute reclaimed = better UX.

Why does it matter? Because what’s possible on-chain depends on performance. 🔹 On-chain AI models 🔸 Autonomous agents 🔹 Real-time game logic 🔸 Massive simulations GSVM is built for them.

Eclipse isn’t just “faster Solana.” It’s a full performance rethink, built for the next-gen apps: 🔹 AI agents 🔸 Games 🔹 Complex DeFi 🔸 Onchain compute