8×
H100 GPUs
640GB HBM3 aggregate
< 80ms
P95 Latency
Time-to-first-token
405B
Max Parameters
Single-node inference
30TB
NVMe Storage
25 GB/s sequential read
Why Deploy LLMs On-Prem
Cloud LLM APIs introduce data residency risk, unpredictable costs, and vendor dependency. On-premise LLM deployment gives you full control.
Complete Data Control
Every token stays within your network perimeter. No API calls to external endpoints — critical for regulated industries.
Zero data egress by architecture
No third-party data processors
Full data residency compliance
Customer-managed encryption keys
Zero Cloud Dependency
Eliminate vendor lock-in and third-party risk. Your LLM runs on hardware you own.
No subscription fees or rate limits
No service disruptions from upstream
Own your model weights and configs
Air-gapped deployment support
Predictable Performance
Sub-100ms inference with dedicated GPU resources. No multi-tenant noise, no cold starts.
Dedicated GPU resources
Consistent sub-100ms latency
No multi-tenant contention
Predictable cost per inference

On-Prem LLM Deployment
Your data center. Your models. Your rules.
Purpose-built hardware for AbacusOS Custom LLM inference. No cloud accounts, no API keys, no external dependencies.
AbacusOS Custom LLM Capabilities
Purpose-built AI models optimized for regulated industries — all running on the Go1 inference stack.
AbacusOS Custom LLM
Deploy AbacusOS Custom LLM with enterprise-grade inference, optimized for compliance, accuracy, and on-premise performance.
Enterprise Foundation Models
Custom-tuned models from 8B to 405B parameters with quantized and full-precision variants optimized for the Go1.
Conversational & Chat
Industry-specific chat models with built-in prompt management, system message configuration, and multi-turn context.
Custom Fine-Tuning
Bring your own training data and fine-tune models for your specific use cases. Hot-swap models without downtime.
Specialized AI Capabilities
Full RAG pipeline support — embeddings, retrieval, and generation — entirely on-premise.
Document Intelligence
Extract, classify, and analyze documents with AI purpose-built for financial services, healthcare, and insurance.
Multimodal Processing
Vision-language capabilities for document analysis, image classification, and OCR — all on-premise.
Semantic Search & RAG
Dense vector embeddings for semantic search, retrieval-augmented generation, and document similarity.
The Hardware
The Go1
8x NVIDIA H100 GPUs, 640GB HBM3 memory, 30TB NVMe storage. Run AbacusOS Custom LLM with 405B-parameter models on a single node with sub-80ms P95 latency. Plug in, connect ethernet, and deploy in under 15 minutes.
8× H100 GPUs
30TB NVMe
< 80ms P95
Liquid Cooling

On-Prem LLM vs. Cloud LLM APIs
Compare on-premise LLM deployment with cloud-based APIs across the metrics that matter for production workloads.
| # | Feature | Cloud LLM API | Abacus On-Prem |
|---|---|---|---|
| ROW-01 | Data Residency | Data sent to cloud provider | 100% local, never leaves |
| ROW-02 | Latency (P95) | 200-500ms variable | < 80ms consistent |
| ROW-03 | Cost Model | Per-token pricing, unpredictable | Fixed hardware cost, unlimited use |
| ROW-04 | Model Selection | Limited to provider's catalog | Any open-weight model + custom |
| ROW-05 | Availability | Dependent on cloud uptime | Runs on your infrastructure |
| ROW-06 | Fine-Tuning | Expensive, limited options | Full control, LoRA hot-swap |
Deploy Your First LLM On-Prem
See the Go1 run AbacusOS Custom LLM at production scale — inside your own data center, with zero cloud dependency.
Deploy AI That Passes Every Audit
900K monthly users went live in under 24 hours. SOC 2 Type II, ISO 27001, and HIPAA certified from day one.
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