Deep Infra

Fluents + Deep Infra offers seamless integration to enhance voice AI orchestration, ensuring compliance and enabling swift, effective automated communications.

Affordable hosted inference for Llama, Mixtral, and more — the cost-efficient conversation engine for high-volume Fluents deployments.

Run Open-Weight LLMs via Deep Infra in Your Fluents Stack

Deep Infra hosts leading open-weight LLMs — Llama, Mixtral, Qwen, Mistral — at some of the most competitive inference pricing available. For Fluents deployments where the economics of cost-per-call matter and open-source model quality is sufficient for the use case, Deep Infra is a practical path to scale.

Like all conversation engine alternatives in Fluents, switching to Deep Infra affects only the LLM reasoning layer — Deepgram handles transcription and ElevenLabs handles voice synthesis unchanged.

Lowest-cost inference for open-weight models like Llama and Mixtral — reducing cost-per-call for high-volume Fluents operations

Wide model selection: access the latest Llama, Mixtral, Qwen, and Mistral releases as soon as they're available

Simple API access — no GPU infrastructure to manage, no capacity planning, no uptime concerns

The Cost Lever in Voice AI

For a Fluents deployment making millions of calls per year, the conversation engine cost is a meaningful operating expense. The difference between frontier model pricing and Deep Infra's open-weight inference pricing can be 10-20x per token. For structured, repeatable workflows — appointment reminders, renewal outreach, intake qualification — where the task doesn't require frontier model reasoning, that cost difference compounds dramatically at scale.

Insurance: Renewal Campaigns at Low Cost Per Call

An insurance carrier running 500,000 annual renewal reminder calls doesn't need GPT-4 to confirm a policyholder's renewal date and ask if they have questions. Llama 3.1 70B via Deep Infra handles this reliably — at a fraction of frontier model costs. The savings fund the calls that actually need human or high-capability AI follow-up.

Healthcare: Appointment Reminders at Scale

A healthcare network running daily appointment reminders across multiple clinics handles millions of patient calls per year. Using Deep Infra's affordable inference for these structured, low-complexity calls reduces the AI cost per reminder to near-negligible levels — making the economics of AI calling at full network scale work.

Cost-efficient open-weight inference for voice AI at scale

Calls That Just Work

No per-minute taxes. No brittle workflows. Just enterprise-grade reliability with API-level flexibility.

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Alvin Ramin
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FAQs

Questions about Deep Infra in Fluents.

When should I use Deep Infra vs Gemini as my conversation engine?

Use Gemini for complex, nuanced conversations where frontier reasoning quality matters. Use Deep Infra when you have very high volumes of structured, repeatable calls where open-weight model quality is sufficient and cost-per-call matters. The team can help you evaluate based on your specific call types and volumes.

Does Deep Infra have enterprise data processing agreements?

Deep Infra offers enterprise agreements for organizations with data processing requirements. Contact the Fluents team to discuss the full data handling architecture for your deployment before selecting Deep Infra for regulated use cases like healthcare or insurance.

Is Deep Infra available for all Fluents plans?

Alternative conversation engine configuration is an enterprise feature. Contact the Fluents team to discuss.

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