Apexenus
SDK
Enterprise-Grade SSD-Based VRAM Cache Swapping for LLM Training & Inference
Revolutionary SDK that enables running 70B+ parameter models on consumer hardware through intelligent memory tiering across GPU VRAM, DRAM, and SLC NVMe SSDs.
Trusted by leading AI companies
Revolutionary Memory Tiering
Our patented 3-tier memory architecture extends GPU VRAM by 10-20x, enabling you to run 70B+ parameter models on consumer hardware.
L1 • GPU VRAM
Fastest memory tier with 16-24GB capacity. Stores active model layers and KV cache for immediate access.
10-20x memory extension capability
Sub-second Time To First Token (TTFT)
Intelligent prefetching and DMA optimization
Hardware-agnostic design
Seamless PyTorch/Hugging Face integration
Enterprise-grade monitoring and reliability
Automatic memory management
Multi-GPU support
Quantization optimization
Custom training loop support
How It Works
Intelligent Memory Management
Our SDK automatically analyzes memory usage patterns and intelligently offloads inactive model layers and KV cache to the optimal tier.
Predictive Prefetching
Advanced algorithms predict which model components will be needed next, preloading them into faster memory tiers before they're required.
Seamless Integration
Drop-in replacement for existing PyTorch workflows. No code changes required - just install and run your models as usual.
Performance Metrics
Optimized For Every Workload
Large Model Training
Train 70B+ parameter models on consumer hardware
Production Inference
Deploy large models in production with optimal performance
AI Research
Enable researchers to experiment with large models
Enterprise AI
Deploy AI solutions at scale with enterprise reliability
Memory Tiering Architecture
Watch as our intelligent memory management system transforms sparse storage into a seamless, high-performance memory hierarchy. Scroll to see the holes fill and the cube transform.
L1: GPU VRAM
L2: System DRAM
L3: SLC NVMe SSD
Performance Impact
Multi-Language SDK
Choose your preferred language. Our SDK provides native support for Python, JavaScript, TypeScript, C++, and Rust with consistent APIs across all platforms.
Code Examples
from apexenus import MemoryTieringManager
import torch
# Initialize memory tiering
manager = MemoryTieringManager(
vram_limit="16GB",
ssd_path="/mnt/nvme/llm_cache",
tiering_strategy="adaptive"
)
# Load large model with automatic offloading
model = manager.load_model(
"meta-llama/Llama-2-70b-chat-hf",
device_map="auto"
)Python Support
Python
Version 3.8+
Installation
pip install apexenus-sdkpip install apexenus-sdk[gpu]pip install apexenus-sdk[full]pip install apexenus-sdk[dev]Quick Start
- 1Install the SDK package
- 2Import and initialize the memory manager
- 3Load your model and start using it
Universal Features Across All Languages
Memory Tiering Management
Automatic Model Offloading
Performance Monitoring
Multi-GPU Support
Custom Optimization Hooks
Enterprise Security
Massive Cost Savings
Transform your AI infrastructure costs with up to 85% reduction in total ownership costs while maintaining enterprise-grade performance.
Cost Category
Traditional Approach
With Apexenus
GPU Hardware
High-end GPUs with large VRAM
RTX 4090, A100, H100
RTX 3080, RTX 4070, A4000
Memory & Storage
High-speed DRAM and NVMe
128GB+ DDR5, Enterprise NVMe
32GB DDR4, Consumer SLC NVMe
Power & Cooling
Annual operational costs
High power consumption
Optimized power usage
Total Cost
Initial + 1 year operational
Traditional approach
With Apexenus
Return on Investment
Payback Period: 3-6 Months
Most organizations see full ROI within 6 months through reduced infrastructure costs and increased development velocity.
5-Year TCO Reduction: 70-85%
Total cost of ownership over 5 years is dramatically reduced through lower hardware, power, and maintenance costs.
Development Velocity: 50-70% Faster
Faster iteration cycles and reduced infrastructure setup time accelerate time-to-market for AI products.
Cost Breakdown
hardware
operational
development
Enterprise Benefits Beyond Cost
Scalability
Scale from development to production seamlessly
Reliability
Enterprise-grade monitoring and error handling
Flexibility
Support for multiple frameworks and deployment models
Security
Built-in security features and compliance support
Ready to Transform Your AI Infrastructure?
Join leading organizations saving millions on AI infrastructure costs while improving performance and developer productivity.