Wafer-scale AI chips that make LLM response feel instant — for Fluents agents where every millisecond counts.
Cerebras has built the world's largest AI chip — the Wafer Scale Engine — and uses it to deliver LLM inference speeds that are orders of magnitude faster than GPU-based systems. Where GPU inference takes 300-800ms per LLM response, Cerebras delivers sub-50ms for many model sizes.
In voice AI, this translates directly to how natural the conversation feels. Cerebras is available as the conversation engine for Fluents deployments where absolute minimum latency is the design requirement — making the pause between caller and agent essentially imperceptible.
Sub-50ms LLM inference on Cerebras hardware — the pause between what the caller says and what the Fluents agent responds is near-imperceptible
Consistent ultra-low latency regardless of model size or call volume — no GPU memory bandwidth constraints or batch scheduling overhead
Available for Fluents deployments in high-stakes real-time contexts: emergency services, medical triage, crisis lines where response speed is critical
Why Latency Defines Voice AI Quality
Human conversation has a natural rhythm with turns of 200-400ms. When an AI agent takes 600ms or more to respond — a common reality with GPU inference — callers notice. They repeat themselves, talk over the agent, or simply disengage. Every call Fluents handles runs through three layers: Deepgram for transcription, the conversation engine for reasoning, and ElevenLabs for voice synthesis. Cerebras compresses the conversation engine step to near-zero — making the total response time the minimum physically possible.
Emergency Triage: Response Speed Is Patient Safety
A nurse triage line or emergency callback system can't have a hesitating AI agent. When a patient calls describing chest pain or a carer calls about a fall, the agent must respond immediately and decisively. Cerebras' sub-50ms inference gives Fluents the response speed that emergency contexts demand.
High-Frequency Outbound: Naturalness at Massive Scale
A financial services firm making 10,000 simultaneous portfolio review outreach calls needs every call to feel like a natural conversation — not a robocall with pauses. At scale, Cerebras' consistent sub-50ms inference means every concurrent call maintains the same conversational rhythm, regardless of load.