Ollama Cloud Managed Inference With Tier Based Concurrency Scaling

via “inference optimization and batching for throughput scaling”

Meta's 70B open model matching 405B-class performance.

Unique: Compatible with state-of-the-art inference optimization frameworks (vLLM, TensorRT-LLM) that implement paged attention and continuous batching, enabling 10-100x throughput improvements over naive inference implementations

vs others: Achieves production-grade throughput and latency characteristics comparable to commercial API providers while maintaining full infrastructure control and data privacy of self-hosted deployment