High-frequency matching engine for institutional GPU compute. Sub-millisecond arbitrage with privacy-first architecture.
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Sub-millisecond order matching with collocated execution engines. No brokerage latency, no hidden delays.
Your compute needs never leave your trust boundary. Zero-knowledge proofs for capacity verification.
Distributed across 12 edge regions. Your jobs execute where the power is cheapest and latency is lowest.
Spot pricing updates every 100ms. Dynamic load balancing across providers with transparent fee structures.
RESTful API with WebSocket streaming for real-time updates. Full programmatic control over your compute portfolio.
Unified interface across AWS, GCP, Azure, and specialized GPU providers. Single contract, infinite capacity.
Define your compute requirements: GPU type, duration, region preferences, and budget constraints.
Our matching engine finds optimal capacity without revealing your identity or specific requirements.
Jobs spin up in <2 seconds. Auto-scaling, fault tolerance, and real-time monitoring built in.
{
"match_id": "req_3hK8nN2mP9q",
"latency_ms": 0.8,
"capacity": {
"gpu_type": "H100-80GB",
"available": 2400,
"region": "us-east-1",
"price_per_hour": 2.45
},
"execution_time_ms": 1800
}We don't just respect privacy—we architect for it. Your data never touches centralized storage.
Email addresses are hashed client-side before transmission. We never see plaintext.
Edge functions process requests without logging storage endpoints. Data in motion, never at rest.
Redundant edge infrastructure guarantees zero downtime with automatic failover protection.
Verify capacity and budget without revealing your specific requirements to the marketplace.