MatLogica | Cloud-Native AAD

Cloud-Native AAD

Secure, Scalable Cloud Execution for Risk Calculations

Offload critical calculations to the cloud without exposing proprietary models or data. Deploy encrypted binary kernels with AVX2/AVX512 vectorization and multi-core parallelism. Reduce cloud costs up to 99%.

Cloud Scalability Without Security Compromise

With MatLogica's AADC, you don't risk exposing proprietary analytics or data to the cloud. Deploy only the computational graph in encrypted binary form—impossible to reverse engineer.

Three-Layer Security Model

  1. On-Premises: Proprietary models and sensitive data stay protected
  2. Encrypted Kernels: Only binary computational graphs deployed to cloud
  3. Reverse Engineering: Nearly impossible to extract original algorithms

Core Advantages

Security, performance, and cost efficiency in one solution

Encrypted Cloud Deployment

Ship only encrypted binary computational graphs to the cloud

  • Proprietary models stay on-premises
  • Algorithms never exposed
  • Sensitive data remains secure
  • Nearly impossible to reverse engineer
  • Compliance-friendly architecture

Up to 99% Cost Reduction

Dramatically reduce cloud bills through efficient execution

  • Fewer instances needed
  • Shorter runtime per calculation
  • AVX2/AVX512 vectorization
  • Optimal multi-core utilization
  • Pay only for actual compute used

Accelerated Models with AAD

Speed up calculations while computing all sensitivities

  • 20-50x faster execution
  • Automatic sensitivity calculation
  • All Greeks computed together
  • Thread-safe by design
  • Linear scaling to available cores

Why Cloud-Native AAD Changes the Game

Security Architecture

Complete protection of proprietary IP and data

  • Binary-only deployment: Source code never leaves premises
  • Encrypted kernels: Computational graphs in binary form
  • Data isolation: Sensitive data remains on-premises
  • Compliance-ready: Meets regulatory requirements
  • Audit trail: Track what computation runs where

Performance Optimization

Maximum efficiency from every CPU cycle

  • AVX2/AVX512: 8-16 operations per CPU cycle
  • Multi-core: Automatic parallelization without code changes
  • Memory efficient: Optimized kernel footprint
  • Cache-friendly: Minimal memory bandwidth usage
  • Hardware-specific: Optimized for target CPU architecture

Cost Efficiency

Dramatic reduction in cloud infrastructure costs

  • Up to 99% reduction: Dramatically lower cloud compute bills
  • Fewer instances needed: Each instance does more work
  • Shorter runtime: Pay for less compute time
  • Efficient scaling: Scale horizontally without overhead
  • Pay-per-use: Only pay for actual computation

Operational Benefits

Simplified deployment and management

  • No Docker overhead: Native binary execution
  • Instant deployment: Serialize and ship kernels
  • Version control: Kernel versioning and rollback
  • A/B testing: Deploy multiple kernel versions
  • Monitoring: Built-in performance metrics

Cloud Deployment Scenarios

Real-world applications of cloud-native AAD

Hybrid Cloud Live Risk

Need real-time risk but can't move models to cloud

  • Keep models on-premises
  • Deploy binary kernels to cloud for computation
  • Sub-second portfolio Greeks
  • Complete data sovereignty maintained

Burst Compute for Stress Testing

Need massive compute quarterly but not daily

  • Deploy kernels to elastic cloud resources
  • Run 10,000 scenarios in minutes
  • Pay only for burst compute
  • No permanent infrastructure needed

Multi-Region Pricing Services

Serve pricing globally with low latency, protect IP

  • Deploy encrypted kernels to regional endpoints
  • <50ms latency worldwide
  • Models never exposed
  • Consistent pricing across regions

Third-Party Risk as a Service

Offer risk calculations to clients without exposing models

  • Client-specific kernels deployed
  • Isolated cloud instances
  • New revenue stream enabled
  • Complete model protection

Cloud Cost Comparison

Portfolio risk calculation: 10,000 instruments, 1,000 scenarios

Approach Compute Time Instances Needed Monthly Cost
Traditional (always-on) 10 minutes per run 100 × c5.xlarge ~$15,000
Traditional (on-demand) 10 minutes per run 100 × c5.xlarge
(plus spin-up time)		 ~$3,000 + latency
AADC Kernels 30 seconds per run 5 × c5.xlarge ~$150
Savings Achieved:

99% reduction vs always-on | 95% reduction vs on-demand (plus no latency penalty)

Technical Implementation

How to integrate cloud-native AAD into your infrastructure

Integration Process
Three-phase process: Record computational graph once, JIT compile to optimized machine code, execute thousands of times with 6-1000x speedup.
1️⃣
Record Once

Execute your model on-premises with AADC to record the computational graph

2️⃣
Compile & Deploy

JIT compile to binary kernel and deploy encrypted version to cloud

3️⃣
Execute Thousands of Times

Run kernel in cloud with different market data, getting 6-1000x speedup

Choose Your Cloud Implementation Path

Different approaches for different situations

Transform Your Quant Technology Stack
Strategic technology modernization with developer productivity. 3-5x faster development, 50%+ cloud cost reduction, vendor independence, incremental transformation with 20x ROI by year 2.
Build Production-Ready Models 5x Faster
Build new pricing models and analytics 5x faster. Focus on business logic while AADC handles optimization, vectorization, and AAD automatically. Python-first or C++ - your choice.
Supercharge Your Open-Source Stack
Accelerate QuantLib and ORE by 6-100x with minimal code changes. First production ORE deployment, Luigi Ballabio endorsement, vendor-class performance at fraction of cost.

Related Resources

Explore more about cloud optimization and AADC technology

Transform Cloud Economics

Cut cloud costs 50-99% through efficiency. Same workload

Calculate ROI
CPU Performance That Matches GPU

AADC matches GPU performance on standard CPUs with none of the complexity. Lower TCO, no CUDA rewrite, no vendor lock-in, simpler deployment.

View Benchmarks

Ready to Reduce Your Cloud Costs by 99%?

Let us analyze your cloud compute costs and show you the potential savings with encrypted binary kernel deployment

Schedule Consultation Contact Us

Typical analysis shows 90-99% cost reduction opportunities