Heterogeneous inference — The fastest cloud for agents
Why no single chip is best at agents, how a heterogeneous fleet wins the latency-throughput frontier, and the benchmarking methodology that proves it.
The thesis
Real agents are graphs of mixed workloads. The optimal silicon changes call by call.
The fleet
CPUs, GPUs, TPUs and non-GPU accelerators behind one scheduler and one API.
Benchmarking
End-to-end task latency, p95 under concurrency, cost per completed task — the metrics that actually predict UX.
Results
Reference benchmarks vs. major single-silicon providers across reasoning, coding and long-context workloads.
Synaptix Agent Platform — The Agent OS for the enterprise
A complete platform brief: six-layer architecture, deployment options, governance posture, and the operating model for running thousands of agents in production.
Open →Synaptix AI Gateway — One control point for every model and every agent
Why every enterprise will need an AI Gateway, what 'two gateways, one plane' means in practice, and the rollout pattern that consolidates AI traffic in 90 days.
Open →TokenFactory — Production inference for the open-model frontier
Run gpt-oss-120B, Kimi-K2.5, Qwen3-Coder, GLM-5, DeepSeek V3.2 and the full open frontier behind one OpenAI-compatible API. Pay-as-you-go, batch, post-training and dedicated.
Open →Ready to operationalize your agents?
Talk to our team about a pilot on Synaptix Cloud or on-prem.