Blogs

NVIDIA H200 GPU (2026): The Ultimate Guide for AI & HPC Workloads

Discover how NVIDIA’s H200 GPU revolutionizes AI and HPC with 141GB HBM3e memory & 4.8TB/s bandwidth. Learn about applications, performance, & reducing cost.

What Is Inference in ML? How Models Turn Data Into Decisions

Inference in machine learning, often misunderstood, is the application of a trained model on new data to generate outputs. It highlights the intersection of training choices and real-world data, ultimately determining a model’s effectiveness and trustworthiness.

Inference Endpoint Benchmarking: Accuracy vs. Throughput at Production Scale

AI performance heavily relies on inference endpoint benchmarking in real-world scenarios. Effective models balance responsiveness, cost, and user concurrency, with 8B models often sufficing, while 70B models excel in complex contexts.

Model Inference: How Predictions Actually Run in Practice

Model inference is the moment a trained model actually does work. It’s where forward-pass computation, precision choices, and execution patterns translate intelligence into real-world performance. This article breaks down what truly drives latency, cost, and reliability once a model enters production.

The real math behind AI infrastructure: When to subscribe, rent, or buy

The content discusses the evolving decisions faced by Indian enterprises regarding AI infrastructure deployment, emphasizing the shift from model selection to deployment strategies amid rising regulatory pressures and the emergence of competitive open-weight models.

Enterprise AI: A Clear Guide for New AI Initiatives

Enterprise AI enables organisations to deploy and scale AI across operations, from customer experience to risk management. Success depends on connected infrastructure, governance, and workflows. Neysa’s AI Platform as a Service act as a ready workshop, letting teams assemble compute, storage, orchestration, and monitoring without bottlenecks, ensuring reliable, enterprise-wide AI adoption.