Inference Fabric · Overview
Heterogeneous inference — Evaluating hardware choices for agents
Why no single chip is best at agents, how a heterogeneous fleet wins the latency-throughput frontier, and the methodology that proves it.
What's inside
Section 1
The thesis
Agents are graphs of mixed workloads.
Section 2
The fleet
CPUs, GPUs, TPUs and non-GPU accelerators behind one scheduler and one API.
Section 3
Benchmarking
End-to-end task latency, p95 under concurrency, cost per task.
Section 4
Results
How to compare representative workloads and record the results.
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Why every enterprise needs an AI Gateway, what 'two gateways, one plane' means, and a 90-day rollout pattern.
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Explore dedicated open-model endpoints on your target hardware for agent workloads.
Open →Ready to operationalize your agents?
Talk to our team about a pilot on Synaptix Cloud or on-prem.