Quantum Encoding LogoQUANTUM ENCODING
5,000x Cost Reduction

The World's Fastest
Tokenization Engine

11-51M tokens/second. Process 1 billion tokens for $0.02. Available in ARM64 enterprise and x86_64 GPU configurations.

51M
Tokens/Second
ARM64 Peak
$0.02
Per Billion
vs $100 OpenAI
5,000x
Cost Reduction
Validated benchmark
Get Enterprise License View Benchmarks

Two Editions for Every Scale

Enterprise Cloud
Quantum Token Engine (ARM64)

Google Axion CPU-Based ONNX Runtime

Performance

  • 11-51M tokens/second on ARM64
  • Process 1B tokens for $0.02
  • 5,000x cost reduction vs OpenAI

Architecture

  • • Google Axion processors
  • • ONNX runtime optimization
  • • Cloud-native deployment
  • • Auto-scaling support

Best For

Enterprise-scale tokenization workloads, cloud deployments, massive batch processing, cost-sensitive operations.

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Local Deployment
Quantum Token Engine (GPU)

x86_64 Rust/ONNX Vector Generation

Performance

  • 3.9M tokens/second on GPU
  • 768-dimensional embeddings
  • On-premise sovereignty

Architecture

  • • x86_64 GPU acceleration
  • • Rust performance core
  • • CUDA/ROCm support
  • • Docker containerized

Best For

On-premise deployments, RAG system embeddings, privacy-sensitive workloads, local development.

Available in Quantum Forge

The Irrefutable Benchmarks

Real-World Production Results

ARM64 Google Axion (Enterprise)

Benchmark: 10 billion token file
Machine: Google Cloud ARM64 Axion
Runtime: ONNX optimized

Results:
- Throughput: 11-51M tokens/second
- Total time: 3.3 minutes (peak speed)
- Cost: $0.20
- vs OpenAI: $1,000 (5,000x reduction)
- vs Anthropic: $600 (3,000x reduction)

x86_64 GPU (Local Deployment)

Benchmark: Anthropic JSON export (260MB)
Machine: NVIDIA A100 40GB
Runtime: Rust + ONNX

Results:
- File size: 260MB JSON
- Throughput: 3.9M tokens/second
- Total tokens: ~65M tokens
- Processing time: 16.7 seconds
- Embeddings: 768-dimensional
- Memory usage: 8.2GB

Cost Comparison (10B tokens)

ProviderCostTimevs Quantum
Quantum Token Engine$0.203.3 min-
OpenAI (tiktoken)$1,000~30 hours5,000x more
Anthropic$600~20 hours3,000x more
Cohere$400~15 hours2,000x more
View Full Benchmark Report

Production Use Cases

RAG Pipeline Preprocessing

Tokenize and embed millions of documents for vector databases at unprecedented speed.

  • ✓ Process entire knowledge bases in minutes
  • ✓ Generate embeddings for semantic search
  • ✓ Chunk optimization for retrieval
LLM Training Data Preparation

Prepare massive datasets for training with consistent tokenization.

  • ✓ Tokenize TB-scale datasets efficiently
  • ✓ Consistent vocabulary handling
  • ✓ Special token insertion
Real-time Stream Processing

Handle high-volume text streams with sub-millisecond latency.

  • ✓ Live chat tokenization
  • ✓ Social media feed processing
  • ✓ Log analysis pipelines
Cost Optimization at Scale

Replace expensive API calls with local processing.

  • ✓ Eliminate API rate limits
  • ✓ Reduce operational costs by 5,000x
  • ✓ Predictable pricing model

Stop Paying the API Tax

Every tokenization API call is money leaving your pocket. The Quantum Token Engine puts that power back in your hands with a one-time license that pays for itself in hours, not months.

Get Enterprise LicenseTry in Quantum Forge

ROI Calculator: At 1B tokens/month, you save $99,980 in the first month alone.