Distributed ML infrastructure for inference, fine-tuning, and reinforcement learning. Tensor-native. Built to move bits fast.
01 — capabilities
Sub-millisecond latency across distributed tensor nodes. Zero cold starts with autoscaling routing.
Full-param and LoRA/QLoRA at scale. Distributed gradient accumulation across GPU clusters.
Close the training loop. PPO, DPO, GRPO pipelines with reward model integration.
02 — architecture
bitstride · distributed ml
Deploy your first model in under 5 minutes. No infra setup required.