CASCADE PyTorch Hebbian CIPS Stack
GPU Accelerated

PyTorch Memory

~5ms Search time
GPU-accelerated
Click anywhere to search R regenerate 1-9 change K
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P
Vector Memory

Performance Specifications

Built for speed. Built to scale.

~5ms
Search Time
GPU-accelerated
10K+
Vectors
Scales with GPU VRAM
384
Dimensions
MiniLM-L6-v2
Float16
Precision
Half memory usage
~15ms
Add Memory
Including encoding
<1s
Checkpoint
Persist to disk
Deployment

PyTorch Memory Deployment

GPU-accelerated vector memory. Drop-in ready.

01
Discovery

Scope

Quick call

Tell us what you're building. We'll tell you what you need.

  • Define your use case
  • Estimate vector volume
  • Set integration points
02
Configure

Customize

Rapid setup

We configure the system for your specific requirements.

  • Configure GPU tensors
  • Set up embedding pipeline
  • Optimize for your hardware
03
Deploy

Live

Fast deployment

Lightning-fast semantic search. Production-ready, running, yours.

  • Deploy to your infrastructure
  • Verify search performance
  • You're live
$
Pricing

Simple, Transparent Pricing

One license. Full power. No hidden costs.

PyTorch Memory Enterprise

Optimized • Production Scale

Base License
$600
One-time payment (1 developer)
Per Developer
$60
Named developers, not concurrent
Proprietary speed enhancement (<2ms search, hardware dependent). See benchmarks
Docker deployment configs
1 year updates included
90-day money-back guarantee
90-Day Money-Back Guarantee
Not satisfied? Full refund, no questions asked.
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