Who It's For and Why It Matters
DeepEngine is designed for organizations that need powerful AI without sending sensitive data to the cloud. Perfect for legal firms, healthcare providers, financial institutions, and companies looking for an easy on-ramp to AI without specialized engineers or unpredictable costs.
Your AI, Your Rules
Start immediately with pre-loaded models and a complete software stack—no AI expertise required. It's the convenience of cloud AI with the data sovereignty of on-premise infrastructure. Perfect for organizations that need to keep data in-house while leveraging cutting-edge AI.
Perfect For Organizations That Need:
Keep sensitive client data, patient records, or proprietary information completely in-house while still leveraging advanced AI capabilities.
Get up and running without specialized ML engineers or complex setups. A true plug-and-play solution for teams without extensive technical resources.
One fixed investment instead of ongoing cloud bills. Perfect for steady workloads like daily document processing or continuous monitoring applications.
Ideal for environments requiring on-site processing—factory floors, branch offices, or locations with limited connectivity—where cloud-based solutions aren't viable.
Ready-to-Use Models
Immediate value with preinstalled models—LLaMA for text generation, Whisper for speech-to-text, and more—no configuration needed. Start using AI from day one without technical setup.
User-Friendly Interface
Intuitive dashboards and controls designed for non-technical users. Your team can manage models and run AI workflows without specialized knowledge.
Complete Data Sovereignty
All processing stays on your premises—ideal for regulated industries, confidential data, and compliance requirements. No data ever leaves your control.
Superior ROI for Steady Workloads
With predictable AI needs, see ROI in months compared to cloud subscriptions. Fixed investment with no usage meters or surprise bills.
Ready in Three Steps
1. Plug in the Box
Connect power and network. That's it.
2. Access Your Dashboard
Open a web browser to manage models, monitor performance, and run quick demos.
3. Run Your Model
Use our intuitive API or the integrated UI to start inference instantly.
All the complexity is hidden under the hood. We've streamlined every layer so you don't have to worry about kernel panics or obscure driver errors.
Dive Deep into Our Hardware & Software Stack
Hardware Configurations
Mini Box
Perfect for smaller LLM models (33B/70B) and initial AI workloads
- GPU/AI Chips:
2× AMD Radeon 7900 XTX (48GB VRAM, 960GB/s each)
- Total GPU RAM Bandwidth:
1920GB/s
- Compute Performance:
~246 TFLOPS FP16
- Memory:
64GB DDR5
- Storage:
2TB NVMe SSD
- Form Factor:
Mid-Tower ATX, ~1000W PSU
Multi-GPU Box
Scalable solution for parallel model inference and demanding workloads
- GPU/AI Chips:
4× AMD Radeon 7900 XTX (96GB VRAM, 960GB/s each)
- Total GPU RAM Bandwidth:
3840GB/s
- Compute Performance:
~492 TFLOPS FP16
- Memory:
128GB DDR5
- Storage:
4TB NVMe SSD
- Form Factor:
Tower/4U Rack, ~2000W PSU
HPC Box
CPU-based AI solutions with massive memory bandwidth for special workloads
- CPU/AI Chip:
1× AMD EPYC (12 memory channels)
- Memory:
288GB DDR5 ECC RAM (12CH)
- Storage:
2TB NVMe SSD
- Form Factor:
Rackmount/Tower, 750W PSU
- Performance:
DeepSeek R1 Q2_K_XL, ~10 tokens/s
Software Stack
Core Components & Models
Whisper Service
A battle-tested, high-accuracy speech-to-text engine packaged as a ready-to-go service. Perfect for real-time call center transcription and voice-based analytics.
OLAMA
A user-friendly Large Language Model framework that enables quick text generation and summarization without deep optimization overhead.
VLLM
An advanced LLM runtime offering superior performance for demanding language tasks with optimized token handling and memory management.
Infrastructure & Management
Pop!_OS (Ubuntu-based ML Distribution)
A specialized OS with pre-installed Python, PyTorch, CUDA, and other GPU/ML toolchains. No more dependency conflicts – everything works out of the box.
Docker & Portainer
Keep each service isolated and portable with Docker, while managing everything through Portainer's intuitive GUI. Scale up or down with minimal fuss.
Streamlit Dashboard
A simple web-based interface for enabling, disabling, and monitoring services. Get immediate visual feedback on GPU usage and real-time logs.
Open Web UI
A JSON-configurable web interface for quick text generation, chat demos, or showcasing advanced prompts. Plug in your own modules with minimal coding.
Monitoring & Diagnostics
Dashboard
Access a web UI or CLI that shows GPU usage, memory consumption, throughput, and model-specific metrics in real time.
Logging & Alerting
Automatic logs for each inference request and error; optional email or Slack alerts for critical issues.
Performance Tuning
Adjust GPU usage or batch sizes on the fly. Fine-tune concurrency settings for maximum throughput.
Historical Data
Retain logs and usage stats for post-hoc analysis, helping you refine deployment strategies or plan hardware upgrades.
Got Questions? We've Got Answers.
How exactly does DeepEngine protect our sensitive data?
DeepEngine runs 100% on your premises. Your data never leaves your network—unlike cloud solutions, there's no data transmission to external servers. All processing happens locally, and you maintain complete control over network access. For regulated industries, this means simplified compliance with HIPAA, GDPR, and financial regulations.
Do we need AI engineers or ML experts to operate DeepEngine?
Absolutely not. DeepEngine is designed for operation by regular business users. Our intuitive interface lets your team manage models and run inference through simple controls—no code or specialized knowledge needed. You'll be productive from day one without hiring AI specialists.
How do I calculate ROI compared to cloud-based AI services?
Most organizations see ROI within 6-9 months. The formula is simple: calculate your current monthly spending on AI APIs/services, then compare with DeepEngine's one-time cost. For stable workloads, the break-even point comes quickly since you eliminate ongoing per-token or per-user fees. We provide an ROI calculator during consultation.
Can I run industry-specific AI models with DeepEngine?
Yes! We offer specialized versions with pre-loaded, fine-tuned models for legal, healthcare, financial, and manufacturing industries. These models are optimized for domain-specific terminology and use cases. You can also load your own custom models or fine-tuned versions through our intuitive management interface.
How does DeepEngine perform in locations with poor connectivity?
DeepEngine operates entirely offline after initial setup. It's perfect for remote locations, factories, ships, branch offices, or any environment with limited bandwidth. Your AI applications will continue working at full speed regardless of internet quality, making it ideal for edge deployments where cloud solutions would struggle.
What kind of workloads is DeepEngine best suited for?
DeepEngine excels at predictable, steady AI workloads: daily document processing, continuous monitoring, regular customer service needs, and similar scenarios. It's ideal when you can estimate your usage patterns and where throughput requirements are well-defined. This stability is where on-premises deployment provides maximum financial advantage.
How long does implementation take for a typical organization?
Most clients are fully operational within days, not months. The hardware arrives pre-configured—simply connect power and network, log into the dashboard, and you're ready. Integration with existing systems takes as little as a few hours using our REST APIs and sample code. We provide standard connectors for common business applications.
What support options are available for non-technical teams?
We offer tiered support packages designed specifically for organizations without AI expertise. This includes 24/7 phone support, remote troubleshooting, monthly check-ins, and on-site service options. Many clients choose our "Managed DeepEngine" plan where we handle all maintenance and updates remotely while you focus on using the AI capabilities.
Costs, ROI, and Financing Options
It's time to demystify complex cloud pricing. With DeepEngine, you pay once (or in installments/leasing) and own your AI infrastructure without monthly surprises.
Fixed Investment vs. Recurring Fees
Greater cost predictability and complete control over your expenses. No more surprise bills at the end of the month.
Quick Return on Investment
Just a few months of intensive AI operations can "recover" the cost of your server compared to cloud subscriptions or per-user licenses.
Flexible Financing Options
We work with leasing companies and offer installment options. Instead of spending everything upfront, spread your payments over time.
The result? You have costs under control, and your team gains the freedom to build and deploy AI without cloud limitations.
How DeepEngine Works in Practice
See how organizations across regulated industries, branch locations, and traditional businesses are transforming their operations with DeepEngine:
Case Study: Legal Industry
A mid-sized law firm with strict client confidentiality requirements deployed DeepEngine instead of cloud-based document AI. The result? They process 5,000+ legal documents monthly with complete data privacy, zero risk of leaks, and 40% lower costs than cloud alternatives. Non-technical paralegals operate the system without IT assistance.
Case Study: Financial Services
A regional bank needed real-time transaction analysis without sending customer data to third parties. With DeepEngine deployed at their data center, they process thousands of daily transactions with ML-powered fraud detection while maintaining full regulatory compliance. The one-time investment delivered ROI within 9 months compared to API-based alternatives.
Case Study: Manufacturing
A factory with limited internet connectivity deployed DeepEngine at the edge to analyze production line video feeds. The system continuously monitors quality control without cloud dependence, processing data in real-time with millisecond latency. Factory supervisors with no AI background now rely on the system for day-to-day operations.
Case Study: Government Agency
A conservative government department needed to modernize without risking sensitive data in the cloud. DeepEngine provided a controlled entry point to AI adoption, enabling document processing and citizen service applications while maintaining strict security protocols and helping the IT team gain confidence in AI technologies.
Industry-Specific AI Solutions
We also offer specialized versions of DeepEngine with models fine-tuned for specific industries. Whether you need medical transcription with healthcare terminology, financial document analysis with regulatory compliance, or manufacturing optimization, we have tailored solutions that deliver immediate value.
Want to Check if DeepEngine Makes Sense for You?
To make your decision easier, we've prepared a simple form where you describe your current infrastructure and needs. In return, you'll receive a quick analysis (free of charge!) showing where you can cut costs and gain efficiency.
Fill Out a Short Form
Describe how you currently use AI – what you're paying, your workloads, number of users, etc.
Receive Savings Calculation
Our team (with AI assistance) will analyze your data and present you with real figures you can save.
See an Implementation Plan
You'll see which DeepEngine model will be optimal for you and how quickly you can get started.
Free Analysis Request
Instead of guessing, see the numbers that show if this makes sense for you. We value efficiency and transparency – that's why we show you how you can benefit first, and only then discuss the final configuration.