Harness the power of Meta's Llama 2 models in your own infrastructure. No data leakage, no compliance concerns, no usage limits.
Free for commercial use with up to 700M MAU
Competitive with GPT-3.5 performance
Customize on your proprietary data
Extensive tooling and optimization support
Your data never leaves your servers
Meta's Commitment: Continuous updates and improvements with Llama 2.1 and beyond
70B
Parameters in largest model
$0
Licensing costs
100%
Data remains on-premise
∞
API calls (no limits)
See how on-premise Llama 2 compares to cloud-based solutions for enterprise use
| Feature |
Llama 2 (On-Premise)
with LLMDeploy
|
OpenAI GPT-4 | Anthropic Claude |
|---|---|---|---|
| Data Privacy | ✓ 100% On-Premise | ✗ Data sent to cloud | ✗ Data sent to cloud |
| Compliance Ready | ✓ HIPAA, GDPR, SOC2 | ⚠ Limited compliance | ⚠ Limited compliance |
| Cost Model | Fixed infrastructure | $30-60/M tokens | $15-75/M tokens |
| Usage Limits | ✓ Unlimited | Rate limited | Rate limited |
| Fine-tuning | ✓ Full control | Limited & expensive | ✗ Not available |
| Latency | <10ms local | 100-500ms | 100-500ms |
| Air-gap Deployment | ✓ Supported | ✗ Requires internet | ✗ Requires internet |
| Model Transparency | ✓ Open weights | ✗ Proprietary | ✗ Proprietary |
1M API calls/month:
Cloud APIs: $15,000-30,000/month
Llama 2 On-Premise: $0 (after setup)
10M API calls/month:
Cloud APIs: $150,000-300,000/month
Llama 2 On-Premise: $0 (after setup)
Choose the right model size for your enterprise needs
Perfect for real-time applications
Balanced performance & quality
Maximum capability model
Get Llama 2 running in your infrastructure in 72 hours
Optimized Docker images with Llama 2, inference servers, and monitoring
Quantization, batching, and caching for maximum performance
Load balancing, auto-scaling, audit logs, and RBAC
Tools to train Llama 2 on your proprietary data
Cost Estimate: $50K-100K one-time hardware investment
ROI: Break-even in 2-4 months vs cloud APIs
Real-world applications of on-premise Llama 2
Process contracts, reports, and confidential documents without data leakage
Generate and review code while keeping proprietary logic secure
AI assistants that understand your products without exposing customer data
Analyze sensitive financial and operational data on-premise
HIPAA-compliant patient data processing and medical insights
Build internal knowledge bases without exposing IP
Join enterprises saving millions while maintaining complete data control
Average Deployment Time
72 hours
Cost Savings vs Cloud
70-90%
Data Control
100%