Distributed infrastructure across EU, APAC, and US.
Latens provides inference deployment options across Europe, Asia-Pacific, and the United States, helping teams place model workloads closer to their users and infrastructure. Region selection is deployment-specific and agreed during onboarding.
European deployment options for low-latency access and regional deployment needs.
Asia-Pacific deployment options for globally distributed AI applications.
North American deployment options for high-capacity inference workloads.
Production-grade serving across regions.
The same operational standards across supported deployment regions: capacity planning, isolation, monitoring, incident response, and production support workflows.
Regional placement
Deployments are placed in the agreed region based on user location, latency, data-residency needs, and customer requirements.
High availability
Designed for production traffic with deployment-specific capacity planning and redundancy options.
Observability
Per-request latency, throughput, and utilization metrics.
Workload isolation
Dedicated capacity options for predictable, isolated performance.
Capacity planning
Right-sized serving infrastructure tuned per workload profile.
Incident response
Operational practices brought from years of latency-sensitive systems work, with a 6-hour initial response Support SLA for covered production incidents.
Availability SLO
Covered dedicated production inference deployments are operated against a 99.95% monthly availability SLO. The availability SLO is an operational target unless a signed agreement states otherwise.
ZDR-safe runtime optimization
Latens uses inference-serving optimizations such as continuous batching, scheduling, and non-persistent in-request KV-cache reuse. For ZDR production endpoints, Latens does not persist prompts, completions, or result caches after request completion.