PERFORMANCE

DEDICATED INFERENCE

Each organization runs on dedicated inference endpoints — no shared compute, no noisy neighbors. This ensures consistent response times regardless of platform-wide load.

Dedicated endpoints also mean your model's performance is predictable and benchmarkable, with no variance from other tenants' usage patterns.

DOCUMENT PROCESSING

Documents up to 100MB are supported with a 5-minute processing timeout per file. The processing pipeline (extract, chunk, embed, index) is optimized for throughput while maintaining semantic accuracy.

Batch uploads are processed in parallel where possible, with progress tracking available in the dashboard.

SCALABILITY

The platform scales vertically (larger inference instances) and horizontally (additional endpoints) based on your organization's needs. Enterprise plans include auto-scaling configurations and dedicated capacity planning support.