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A processor chip with a lightning bolt at its centre, representing gpu inference ai agent workloads
GPU Inference for AI Agent Workloads
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Serving Fine-Tuned LLMs on Serverless GPUs
Three bold arrows branching from one junction toward different destinations, representing pipecat voice agent gpu deployment
Pipecat Voice Agents: Which Stage Belongs on a GPU
Stacked server racks beneath a cloud representing the fleet of GPU instances that sets LLM inference cost at scale
LLM Inference Cost at Scale: The Tokens-Per-Minute Math
Globe representing network latency across regions in an AI inference pipeline
Where Latency Goes in an AI Inference Pipeline
NVIDIA logo representing B200 inference throughput and time-to-first-token measurements
NVIDIA B200 Inference: Measured Throughput and TTFT
Connected squares representing multiple concurrent voice sessions sharing a single GPU
Concurrent Voice Sessions Per GPU: The Real Numbers
Compute cluster icon representing alternatives to AWS for running AI inference workloads
AWS Alternatives for AI Workloads: What Actually Changes
Voice agent icon representing the per-minute cost of running a production voice AI agent on serverless GPUs
What a Voice AI Agent Really Costs Per Minute
Cloud icons representing alternative serverless GPU platforms for inference workloads
Modal Alternatives for Serverless GPU Inference
Speedometer representing serverless GPU cold-start latency for real-time Voice AI
Serverless GPU Cold Starts: Killing Voice AI Latency