Initial deployment and model configuration, introductory online meetings
Private, self-hosted LLM
- $ Our AI spend has grown to thousands of dollars per developer.
- We worry about privacy — and how to actually control it.
- We want AI beyond agentic coding — in real business processes.
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your private LLM
Open-weight LLMs answer all three. You get a fully configured, ready-to-use cluster in your infrastructure — flat cost, private by design, open to any AI model.
WHAT WE OFFER
Self-hosted LLMs
Privacy-first AI deployed on your premises — including air-gapped environments and any infrastructure provider.
- Regular updates and 24/7 maintenance
- Full control over what data is being processed
- No user limits, no hidden costs
AI across your business
Benefit from open-weight AI models and use them any way you want — one cluster covers it all.
- Agentic development for your engineering teams
- Augmented back office: support, contracts, invoices
- Search across your internal knowledge
Flexibility in AI
Work with the available open-weight models of your choice — DeepSeek, Qwen, Llama, and beyond.
- LLMs, code, and image models
- Swap models freely as the field moves
- Integrate with your products and third-party software
Business value
Make your product stand out and accelerate operations by leveraging bleeding-edge AI capabilities that are secure, tailored for your business, and impose no limits.
Let’s discuss my AI needs
How we work together
The split is simple: you provide the hardware, we turn it into a working self-hosted AI platform — and keep it that way.
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Buy the hardware We help you with the spec and source it
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Rack it in your data centre (or any infrastructure provider of your choice)
… and that’s it!
- Hardware sizing and procurement
- Cluster deployment, models included
- Regular model and software updates
- 24/7 monitoring, maintenance, support
- Ensuring your data stays private
- Scaling with your team and use cases
The economics: per-seat vs. self-hosted
Per-seat AI costs scale with every developer and token. Self-hosting LLMs turns that into one fixed cluster cost for the whole team.
Opus 4.8 vs. the open frontier
Cluster cost and benchmark scores are planning estimates based on public vendor pricing, model cards, and leaderboard reports. This data is relevant for June 2026.
Ray-powered serving setup
Fault tolerant by design
Ray Serve health-checks replicas, restarts failed workers, and keeps traffic on healthy deployments.
Autoscaled for bursts
Queue pressure drives replica scaling; GPU nodes can be added when workload grows.
Operated like infra
Metrics, logs, dashboards, model rollout policy, and capacity alerts become part of the platform.
Technical details
Embracing private AI installations and ready-to-use MLOps service lets enterprises fully benefit from the latest LLMs and other AI models and lead the game. To ensure an easy-to-use and efficient experience with AI, we provide:
Robust privacy control with local data storage, network traffic restrictions, and support for air-gapped environments.
A wide choice from millions of LLMs and other AI models from Hugging Face and Ollama, including Llama, Gemma, Mistral, DeepSeek, CompVis Stable Diffusion, OpenAI Whisper, etc.
Everything you need to fine-tune the chosen models to get the best possible AI assistance for your use cases.
An infrastructure-agnostic solution, enabling the ubiquitous deployment of AI models to on-prem and collocated bare-metal servers, public and private clouds. You’ll be able to perform computing in the cloud even when your data is stored locally.
Multi-faceted optimisation of AI-related infrastructure. It covers hardware performance optimisation and better cost-efficiency thanks to using spot instances for fine-tuning and workflows (batch processing).
Assistance in integrating AI with your own applications and third-party software you use, such as messaging and conference platforms, productivity apps, CRM and ERP systems, project management and software development systems, etc.
Versatile observability featuring self-hosted dashboards, availability and performance monitoring, and alerting. AI prompt tracing allows your users to enhance their prompts.
Prompt 24/7 support and automatic updates for all tools and AI models with a configurable maintenance window.
Why deploy self-hosted LLMs?
Switch to a local or private AI installation due to the security requirements and compliance regulations, such as conforming to GDPR and working in an air-gapped environment.
Eliminate existing limits on AI usage and maximise AI adoption to meet your growing business needs.
Benefit from what on-prem AI solutions offer, even with zero or limited MLOps expertise to maintain them, by outsourcing these tasks to Palark.
Efficiently deal with content generation, business automation and analytics, software development, and many other tasks by utilising domain-specific LLMs and other AI models.
Make AI usage cost-efficient for a growing number of corporate users.
Pricing
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Setup fee
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Monthly subscription
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| Basic | Pro | ||
| Price | €5,000 | €1,000 per month | €5,000 per month |
| Includes | Initial deployment and model configuration, introductory online meetings | Regular updates, 8/5 support, basic monitoring | Regular updates, 24/7 support, basic and performance monitoring, model analysis |
Regular updates, 8/5 support, basic monitoring
Regular updates, 24/7 support, basic and performance monitoring, model analysis