Secure GPU infrastructure built for voice AI.
GPU clusters designed from the ground up for real-time agentic voice. Built on 20 years of telecom expertise, NVIDIA NeMo/Riva specialization, and a security-first operational model under SOC 2 audit.
Partners & Ecosystem
Infrastructure built for voice AI.
Voice-Optimized GPU Clusters
GPU clusters built specifically for enterprise voice workloads — real-time TTS, STT, conversational inference, and low-latency agentic voice pipelines.
NVIDIA NeMo/Riva Platform
Deep expertise in NVIDIA NeMo/Riva for voice model training, fine-tuning, and speech embedding — covering ASR, TTS, and custom speech AI pipeline deployment.
Security Under SOC 2 Audit
Security-first infrastructure under active SOC 2 audit — with controlled access, private model environments, and enterprise-grade data confidentiality.
Elastic Scaling
Capacity options that scale with production voice AI demand — from early deployment through high-volume inference at enterprise scale.
Real-Time Inference Orientation
Infrastructure tuned for the latency and throughput requirements of real-time agentic voice — not batch workloads or general AI experiments.
Telecom-Grade Operations
Provisioning, monitoring, uptime management, and capacity coordination backed by over 20 years of telecom infrastructure experience.
Infrastructure questions
What workloads is MPI infrastructure designed for?
MPI focuses on real-time voice AI, including speech recognition, text-to-speech, conversational inference, and related model operations.
Can teams use dedicated compute?
MPI offers dedicated GPU capacity and private model environments. Deployment details depend on the workload and capacity requirements.
What is the current SOC 2 status?
MPI is under an active SOC 2 audit. Contact our team for the current status and available security documentation.
Ready to deploy enterprise voice AI?
Dedicated high-density GPU bare metal and low-latency orchestration tuned explicitly for real-time speech, LLM inference, and telecom-grade scaling.