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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Innovative tools and platforms designed to solve real-world problems.
Latest Technical Insights
Deep dives into model optimization, HPC, MLOps, DevOps, and production-grade AI/ML engineering.
Building Production-Ready GPU-Accelerated Transformer Summarization Services: Python vs Rust
A comprehensive comparison of Python (FastAPI + Hugging Face) versus Rust (Axum + rust-bert) for production transformer inference. Load testing reveals Rust delivers 30-50% lower latency and 35-81% higher throughput.
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.
Python 3.14 No-GIL vs Rust: Breaking the Performance Barrier
Benchmarking Python 3.14 no-GIL vs Rust: Free-threaded Python achieves ~4× speedup with 4 threads, closing the multi-core performance gap from ~13× to ~3.4× vs Rust. Complete benchmarks, code examples, and performance analysis.
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.