Vector Databases & Dense Retrieval
Pure Edge Computation
Embedding Vector Storage & HNSW RAM Sizing Calculator
Calculates memory, index overhead, and disk requirements for Qdrant, Milvus, pgvector, and Cloudflare Vectorize.
Formula:
Raw Bytes = N * D * Precision; HNSW Overhead = N * (2 * M * 8 + 32); Total RAM = (Raw + HNSW) * 1.25
Model Parameters
Outputs & Underwriting Summary
Calculation Status
STORAGE DIMENSIONED
Verified Model
Raw Vector Footprint
28.61 GB
Graph Index Overhead: 1.34 GB
Total HNSW RAM Required
37.44 GB
NVMe Disk Footprint: 59.9 GB
A corpus of 5,000,000 embeddings (1536d) requires 28.61 GB raw storage. HNSW indexing (M=16) adds 1.34 GB graph structure, demanding 37.44 GB RAM and 59.9 GB NVMe storage.
AutoPublish AI Computational & Analytical Suite
AI Inference Architecture
LLM Reasoning & Inference Cost Calculator
Evaluates hidden chain-of-thought token costs and monthly budget scaling for reasoning models versus standard large language models.
Distributed ML Serving
Transformer KV Cache VRAM Allocation Modeler
Models High-Bandwidth Memory (HBM) consumption for transformer attention layers during long-context serving.
SaaS Operations & Pricing
B2B SaaS Net Revenue Retention (NRR) & Expansion Modeler
Decomposes enterprise customer expansion velocity, down-sell contraction, and logo churn into actionable valuation metrics.