End-to-end inference with automatic scaling, streaming tokens, and real-time monitoring.
Choose the optimal runtime for your workload. From elastic API endpoints to bare-metal isolated instances.
Serverless endpoints are optimized for rapid deployment and elastic workloads. Fully abstracted infrastructure with automatic scaling.
Used when workload predictability, isolation, or sustained throughput becomes critical. Single-tenant GPU allocation.
Production-ready inference endpoints (not raw weights), optimized for:
A vertically integrated stack designed for maximum throughput and deterministic latency.
Performance is defined by stability under concurrency, not single-request benchmarks. Token generation remains consistent across sessions due to scheduler and execution-layer control.
Controlled through:
Infrastructure is designed for continuous operation. System behavior is designed to remain stable under sustained load, not just peak benchmarks.
System uptime across multi-location deployment with failover mechanisms.
Engineers alerted directly with immediate response. Infra + MLOps act together.
High-performance GPU fleet dedicated to inference workloads across multiple regions.
Tier III datacenter infrastructure with redundant power, network, and hardware.
Redundant power, network, and hardware with multi-location deployment and automated failover mechanisms.
Build on Geodd's hyper-optimized inference stack. Get instant API access to the world's most capable open-source models or talk to our team for custom deployments.