Sprint AI Applications
for Production at Scale
Production-grade HPC and AI/ML solutions optimized for true performance. From model inference optimization and DevOps automation to applied AI development and inference-optimized model creation.
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Latest Technical Insights
Deep dives into model optimization, HPC, MLOps, DevOps, and production-grade AI/ML engineering.
Embedding + Rerank Gateways: Small Services, Big Performance Wins
Every RAG system hides an Embedding + Rerank gateway behind its API. We built the same gateway in Python, Rust (ONNX), and a Split architecture, ran identical benchmarks on one GCP node, and compared footprint, throughput, and latency. Rust beats Python by ~28% RPS and 67% less memory — same model, same API.
Self-Knowledge Distillation for TTS: Teaching Orpheus to Be Its Own Best Student
A step-by-step, accessible guide to compressing Orpheus-3B TTS via self-knowledge distillation using Unsloth, SNAC and LoRA.
Why Threads Beat Multiprocessing for RAG Pipelines — GIL or No GIL
Most Python developers think threads can't parallelize CPU work. Wrong. We benchmarked RAG ingestion across Python 3.13, 3.14, and 3.14t: threads are 70% faster than multiprocessing with 75% less memory — because NumPy and PyTorch release the GIL. Your infra bill doesn't need more pods. It needs better package choices.
Common Questions About Our Services
What is applied AI development?
Applied AI development involves the practical implementation of artificial intelligence technologies to solve real-world business problems. At NavyaAI, we specialize in building production-grade AI systems—including LLMs, agents, and conventional ML models—that deliver measurable ROI and are governed, explainable, and reliable from day one.
What is model inference optimization?
Model inference optimization focuses on improving the speed, efficiency, and resource utilization of AI models during deployment. This includes techniques like quantization, pruning, knowledge distillation, and using specialized hardware or inference frameworks. Our optimization services reduce memory footprint, lower computation complexity, and decrease inference latency while maintaining model performance.
How much does AI ML consulting cost?
AI ML consulting costs vary based on project scope, complexity, and duration. At NavyaAI, we offer flexible engagement models tailored to your needs. We provide transparent pricing and work with businesses of all sizes. Contact us for a customized quote based on your specific requirements.
What programming languages and technologies do you use?
We work with a wide range of technologies including Rust, Python, Golang, Mojo, and C. Our expertise spans HPC solutions, MLOps, DevOps automation, and production-grade AI/ML systems. We choose the best technology stack based on your performance requirements and infrastructure constraints.
Do you provide end-to-end AI application development?
Yes, NavyaAI specializes in end-to-end AI application development. From initial strategy and model design to deployment, optimization, and ongoing maintenance, we handle the complete lifecycle of AI applications. Our services include model inference optimization, DevOps automation, and production-grade system development.