Run 70B+ Models
on Consumer GPUs
Apexus extends GPU VRAM 10-20x through intelligent memory tiering across GPU VRAM, DRAM, and SLC NVMe SSDs. No expensive hardware upgrades.
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.
Enterprise Capabilities
Built for production workloads with cutting-edge optimizations
10-20x Memory Extension
Run 70B+ parameter models on consumer GPUs. Extend your VRAM capacity dramatically without expensive hardware upgrades.
Sub-second TTFT
Lightning-fast time to first token. Start generating responses in under a second, even with massive models.
Intelligent Prefetching
ML-powered prediction engine that anticipates your needs and preloads model layers before they're required.
Hardware-Agnostic
Works with any GPU, any SSD. No vendor lock-in. Deploy on your existing infrastructure without restrictions.
PyTorch/HF Integration
Drop-in replacement for your existing workflows. Zero code changes required — just install and run.
Enterprise Monitoring
Comprehensive observability with real-time metrics, alerts, and performance analytics built for production.
How It Works
Three simple steps to extend your GPU memory and run larger models.
Intelligent Memory Management
Automatically analyzes memory usage patterns and offloads inactive model layers and KV cache to the optimal memory 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
Measurable improvements across every dimension of AI workloads.
Optimized For Every Workload
From research to production, scale your AI workloads with confidence
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
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 apexus 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 apexus-sdkpip install apexus-sdk[gpu]pip install apexus-sdk[full]pip install apexus-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
Ready to Scale Your AI Workloads?
Get started free and run 70B+ parameter models on your existing hardware.