Enterprise LLM Pipeline · RTX 4090 Ready

Quantized
Super
Models

Production-grade web scraping, compression, and fine-tuning at scale — from 1TB of raw data to a 24GB GPU-optimized model.

Explore the pipeline
🌐 1M+ Sources Source Discovery catalog · index · prioritize Smart Crawling v1→v2→v3 JS render · proxy · fingerprint Quality Filter ML-based · 99.9% accuracy Compression 50:1 1TB → 20GB · RTX 4090 ready SCRAPER v1 → v2 → v3 QUALITY ASSURANCE
24GB VRAM target
10B+ data points
50:1 compression
RTX 4090 native
 · Web Harvesting at Scale  · 10M URLs/day  · Apache Kafka · Apache Iceberg · 4-bit Quantization · GPTQ · AWQ · bitsandbytes · Playwright · Scrapy · DuckDB · Polars · ONNX · TensorRT · Kubernetes · Ray · Apache Arrow · Parquet ·   · Web Harvesting at Scale  · 10M URLs/day  · Apache Kafka · Apache Iceberg · 4-bit Quantization · GPTQ · AWQ · bitsandbytes · Playwright · Scrapy · DuckDB · Polars · ONNX · TensorRT · Kubernetes · Ray · Apache Arrow · Parquet · 
1M+
Daily Sources Crawled
10B+
Instruction/Response Pairs
50:1
Compression Ratio
24GB
RTX 4090 VRAM Target
01 /

Progressive Scraper Versions

v1 — Foundation
Basic Distributed Crawler
Initial architecture with static HTML parsing and simple rate limiting. Baseline throughput, limited JS support.
100K URLs / day
40% efficiency
Regex content detection
v2 — Enhanced
Adaptive Rate + JS Render
JavaScript rendering via headless browser, intelligent headers, proxy rotation, content fingerprinting for dedup.
1M URLs / day
75% efficiency
Heuristic content detection
v3 — Production
ML-Driven Intelligent Crawl
Machine-learning content detection, fully adaptive crawling strategies, real-time quality scoring and filtering.
10M URLs / day
99% efficiency
ML-based content detection
02 /

How the Pipeline Works

01
Source Discovery
Catalog 1M+ sources: blogs, documentation, Q&A forums, academic papers, code repositories. Prioritize by freshness and quality signals.
02
Smart Crawling
Three-generation adaptive crawler with JS rendering, proxy rotation, and content fingerprinting for deduplication on the fly.
03
Quality Filtering
ML-driven noise removal, exact + fuzzy deduplication, and instruction/response pair validation to 99.9% accuracy.
04
Compression
8-bit and 4-bit quantization, tokenization, stratified sampling, and Apache Arrow formatting. 1TB → 20GB without semantic loss.
05
Versioned Dataset Composition
ACID-guaranteed snapshots, time-travel queries, and reproducible versioning via Apache Iceberg.
System Architecture
🌐 Web Sources (1M+ URLs) 📡 Scraper Pipeline v1→v3 ⚡ Compression Engine 50:1 DataHarness Layer · Apache Kafka (real-time streams) · Apache Iceberg (ACID batch lake) · Time-travel · Schema evolution · Spark + Trino query layer 🚀 RTX 4090 · 24 GB VRAM KAFKA STREAM
03 /

Data Source Diversity

Technical Blogs
50M+ articles harvested
Code Repositories
100M+ files indexed
Q&A Forums
200M+ threads mined
Documentation
5M+ pages parsed
Academic Papers
50M+ PDFs processed
Tutorial Sites
100M+ tutorials scraped
04 /

Aggressive Compression

Optimized 20 GB Raw input 1 TB 50 : 1 ratio
Tokenization
Vocabulary optimization and frequency-based pruning convert raw text to compact token sequences.
4-bit & 8-bit Quantization
GPTQ and AWQ schemes reduce memory footprint while preserving semantic richness for fine-tuning.
Fuzzy Deduplication
Exact and near-duplicate removal with semantic similarity analysis using MinHash LSH.
Multi-Dimensional Quality Scoring
Relevance, diversity, coherence, and instruction-response alignment — scored and filtered in parallel.
Stratified Sampling
Balanced representation across domains, languages, and complexity levels for robust fine-tuning.
Apache Arrow + Parquet
GPU-optimized binary formats with columnar storage for maximum throughput during model training.
05 /

Scraper Evolution

Metric v1 — Foundation v2 — Enhanced v3 — Production
Throughput 100K URLs / day 1M URLs / day 10M URLs / day
JavaScript Support ✕ ✓ ✓ Advanced
Content Detection Regex-based Heuristic-based ML-based
Quality Filter Basic Intermediate 99.9% accuracy
Proxy Rotation ✕ ✓ ✓ Intelligent
Memory Efficiency 40% 75% 99%
06 /

Technology Stack

Scraping & Crawling
BeautifulSoup Selenium Scrapy Playwright Httpx
Data Processing
Apache Spark Pandas Polars DuckDB Dask
Data Lake
Apache Iceberg Apache Kafka S3 Trino Delta Lake
Compression & Format
Apache Arrow Parquet Protocol Buffers HuggingFace Datasets ONNX
ML & Quantization
bitsandbytes GPTQ AWQ PyTorch TensorRT
Infrastructure
Kubernetes Docker Ray Airflow Prometheus

Ready for Production
Deployment

From harvesting 10 billion data points across 1M+ sources to deploying a fully quantized model on a single RTX 4090.

Start Your Pipeline