Cerebras AI
With Fluents + Cerebras AI, unleash seamless AI-driven interactions, ensuring precise orchestration and compliance for mission-critical campaigns.
Fluents + Cerebras: World's Fastest LLM Inference for Voice AI
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.
Calls That Just Work
No per-minute taxes. No brittle workflows. Just enterprise-grade reliability with API-level flexibility.
Request a New Integration
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Other Integrations
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“Fluents made it incredibly fast to get our AI agent live. It replaced an answering service that cost 5x more - and performed better. Trusted partner, excellent quality, zero hassle.”
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FAQs
Questions about Cerebras in Fluents.
Both Cerebras and Groq deliver significantly lower latency than GPU-based LLM inference. Cerebras' Wafer Scale Engine architecture generally achieves lower absolute latency on certain model sizes. Both are valid options when minimum latency is the priority — contact the team to discuss benchmarks for your specific call type.
Cerebras currently runs optimized versions of Llama and other open-weight models. The model selection is narrower than full frontier model APIs, but the latency advantage is significant for the models supported. Contact the team to confirm model availability for your use case.
Ultra-low latency configuration options like Cerebras are enterprise features. Contact the Fluents team to discuss whether this fits your deployment requirements.