Convert text to normalized vectors for similarity search and retrieval-augmented applications.
One text or up to 64 texts per request, at most 16,000 characters each. Output: normalized numeric vectors. A search database and RAG orchestration are configured separately.
Hourly rate: 68,077 SupraWorx Credits. Dedicated capacity is metered by AWS running time, including idle time. Shared pools meter active GPU processing time; queueing and pool idle time are platform costs. Charges are prorated and rounded up to whole credits. Each user needs a personal GPU-Hub license; compute is paid from the organization credit balance.
AWS Frankfurt integration through the SupraWorx API, Shortcuts, Workflows and AI Workbench. Model: BAAI/bge-m3. Review outputs before use. The pinned configuration passed real-GPU evaluation and is released. GPU allocation depends on AWS capacity. The workload measurements are documented below; availability is not guaranteed.
AWS Frankfurt, NVIDIA L4: 10 distinct English/German retrieval triplets, each tested twice: 20 of 20 checks passed. Measured p95 request latency: 218 ms; zero runtime errors in these 20 calls. Measurements cover this workload and are not a latency or availability guarantee. Released; allocation remains subject to available AWS capacity.