AI Azure AI Search Tier & Sizing Calculator | Free Tool August 14, 202564 views0 By IG Share Share Choosing the right pricing tier for Azure AI Search can be complex. Balancing storage capacity, vector search quotas, and throughput is key to optimizing both performance and cost. This free interactive calculator simplifies the process. Just enter your estimated text index size, vector data requirements, and desired SLA, and we’ll instantly recommend the most cost-effective tier and configuration for your needs. Azure AI Search Tier Calculator Azure AI Search Tier Calculator Estimate the best tier for your search service based on your data. 1. Storage & Vector Inputs Text Index Size (GB) Number of Documents (for vectors) Vector Dimensions Vector Data Type float32 (4 bytes) float16 (2 bytes) 2. Workload & SLA Select your primary workload Read-Write 3 Replicas (Recommended) Read-Heavy 2 Replicas Calculate Reset 3. Recommended Configuration Your results will appear here. Frequently Asked Questions How does this calculator work? The tool calculates the partitions needed for your text index and vector index separately. It then recommends the smallest (most cost-effective) tier that can support the larger of those two requirements. Why doesn't changing 'Number of Documents' always change the tier? This happens when your Text Index Size is the primary driver for the tier selection. The number of documents must be high enough for the vector memory to require more partitions than the text index already does. Try lowering the text size to see the impact of the document count more clearly. What overhead is included for vectors? The calculation includes a 20% overhead on top of the raw vector data size. This is a general estimate for the HNSW (Hierarchical Navigable Small Worlds) indexing algorithm used by Azure AI Search. Is this calculator 100% accurate? This tool provides a reliable estimate based on official Azure guidelines. However, the actual storage for your text index can vary. The best practice is to build a small, representative sample index in Azure to verify your true storage needs. Disclaimer: The Questions and Answers provided on https://gigxp.com are for general information purposes only. We make no representations or warranties of any kind, express or implied, about the completeness, accuracy, reliability, suitability or availability with respect to the website or the information, products, services, or related graphics contained on the website for any purpose. Share What's your reaction? Excited 0 Happy 0 In Love 0 Not Sure 0 Silly 0 IG Website Twitter
AI Grok 4.1 vs. Gemini 3 vs. GPT-5.1: Reasoning Model Benchmark & Architecture The monolithic era of Large Language Models is over. As of November 2025, the AI ...
AI Azure HorizonDB vs. PostgreSQL: Architecture, Vector Benchmark The era of “shared-nothing” architecture is reaching its physical limits in the modern cloud. As ...
AI GPT-5.1 Thinking (Heavy) vs GPT-5 Pro: Benchmark, Cost & API Pro users and developers are often faced with a key choice: is “GPT-5.1 Thinking (Heavy)” ...
AI Fix Power BI Copilot: From Ambiguity to Deterministic DAX Results Many Power BI and Microsoft Fabric users report that Copilot produces incorrect or ‘random’ results, ...
AI Free Microsoft MCP AI Agent Learning Plan: 2025 Training Guide Welcome to the definitive learning path for developers and AI engineers aiming to master Microsoft’s ...
AI Guide to FP8 & FP16: Accelerating AI – Convert FP16 to FP8? The race to build larger and more powerful AI models, from massive language models to ...
AI Guide to FP16 & FP8 GPUs: Deep Dive Low-Precision AI Acceleration The world of artificial intelligence and high-performance computing is undergoing a seismic shift. As the ...
AI The Hidden Costs of Azure AI: A Deep Dive into Prompt Caching If you’re building with powerful models like Deepseek or Grok on Azure AI, you might ...
AI Seq2Seq Models Explained: Deep Dive into Attention & Transformers Sequence-to-Sequence (Seq2Seq) models have fundamentally reshaped the landscape of Natural Language Processing, powering everything from ...
Azure Azure AI Token Cost Calculator & Estimator | OpenAI & Foundry Models Planning your budget for an AI project? Our Azure AI Token Cost Estimator is a ...
AI Guide to Local LLM Deployment: Models, Hardware Specs & Tools The era of relying solely on cloud-based APIs for powerful AI is ending. A major ...
AI Gemini vs. GPT-5 vs. Perplexity: Reasoning vs Web vs Coding The generative AI landscape is no longer a one-horse race. With the launch of OpenAI’s ...