Engineering
How FlexAIis built
Benchmarks, heterogeneous compute, training and RL, and the agent harness, from the team building the platform.
Benchmarks & methodology
How we measure serving performance and decide which models are ready, in the open.
Heterogeneous compute
Running across NVIDIA, AMD, and multiple clouds without refactoring your workload.
Training & RL
Distributed training and reinforcement learning on FlexAI.
Agent architecture
The harness underneath your agents: routing, scoped access, retrieval, tools, correction memory, and audit.