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Bonrix achieves cost-effective Hindi ASR and speaker diarization at scale using CPU-only AI systems

🚀 CPU-Only AI Win: Hindi ASR + Speaker Diarization at 5K Calls/Day! 🇮🇳

Bonrix Software Systems (Ahmedabad, Gujarat) proudly shares a breakthrough: delivering high-accuracy Hindi speech transcription & speaker diarization for 5,000+ daily telephonic conversations — using ONLY high-end CPU servers. Zero GPUs. Zero paid APIs. 💡

🎯 Client Challenge: Cloud telephony operator needed to process ~15K mins of Hindi calls/day. API inference costs + GPU cloud rentals = unsustainable TCO.

✅ Our CPU-First Solution:
• Open-source Hindi ASR + diarization models (open weights)
• Parallel, multi-threaded pipeline maximizing CPU threads/cycles
• Dedicated high-end CPU server architecture
• Local/on-premise deployment for data sovereignty & cost control

📊 Performance Snapshot (769-file test):
✅ 739 processed | ⏱️ 45h 50m audio → 2h 12m wall time
⚡ ~348 files/hr (4 threads) | 📈 Avg latency: 41.3s, P95: 2m
🔹 Scaled estimate: 5,000 files ≈ 14.5 hrs end-to-end (plan ~15h w/ retries)

🌟 Why It Matters:
Proving that intelligent optimization + open-source + CPU-native engineering can deliver enterprise AI outcomes — without GPU budgets or recurring API fees.

🤝 Seeking LOCAL AI installation, optimization, or budget-smart AI solutions? Let's connect!

🔗 https://www.bonrix.biz

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9426045500 bonrix@gmail.com +91 9429045500
Bonrix achieves cost-effective Hindi ASR and speaker diarization at scale using CPU-only AI systems Banner
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🚀 CPU-Only AI Breakthrough

Bonrix Software Systems achieved large-scale Hindi ASR & diarization using only CPU infrastructure.

  • No GPU required
  • No API dependency
  • High accuracy output

💡 Client Challenge

Processing 15,000 minutes of Hindi calls daily with high API cost constraints.

  • ~5000 calls/day
  • Cloud telephony system
  • High inference cost

⚙️ Traditional Approach

GPU-based and cloud AI solutions were initially considered.

  • High GPU cost
  • Recurring API fees
  • Not scalable

🔥 Our Solution

Fully local AI pipeline optimized for CPU performance.

  • Open-source models
  • Multi-threaded processing
  • Dedicated CPU servers

📊 Performance Metrics

High throughput and optimized latency results achieved.

  • 348 files/hour
  • Avg latency: 41.3 sec
  • P95: ~2 min

📦 Scalability

Designed to handle large-scale production workloads efficiently.

  • 5000 files/day
  • ~15 hours processing
  • Reliable batch execution

🎯 Key Benefits

Enterprise-ready AI system with strong advantages.

  • Cost savings
  • Data privacy (on-prem)
  • High scalability

🤝 Let’s Connect

Looking for cost-effective AI solutions? We can help.

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