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.
  • 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.

MLOps self hosted LLM
OFFER

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

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


process

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.

On your side
  1. Buy the hardware We help you with the spec and source it
  2. Rack it in your data centre (or any infrastructure provider of your choice)

… and that’s it!

We do everything else
  • 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
economics

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.

Per-seat subscriptions $0 /mo
Self-hosted cluster $14,000 /mo
Your saving $0 /mo
Self-hosted cluster Per-seat subscriptions + API usage
quality

Opus 4.8 vs. the open frontier

SWE-bench Prohardest agentic coding
Claude Fable 5 API only
0.0
GLM-5.2 (Z.ai) open weights
0.0
MiniMax M3 API only
0.0
DeepSeek V4-Pro open weights
0.0
GPQA Diamondgraduate-level reasoning
Claude Opus 4.8 API only
0.0
GLM-5.2 (Z.ai) open weights
0.0
DeepSeek V4-Pro open weights
0.0
SWE-bench Verifiednear saturation
Claude Fable 5 API only
0.0
DeepSeek V4-Pro open weights
0.0

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.

Let’s see how self-hosted AI fits your needs
setup

Ray-powered serving setup

Baseline cluster 8 × H200
Estimated active users 100-250 devs
Throughput planning range 6k-15k tok/s
Entry
Developers IDE, agents, chat
API gateway Auth, limits, audit
Ray control plane
Ray Serve LLM OpenAI API, routing
Scheduler Queues, batching, scale
GPU serving pool
Replica A
Replica B
Replica C
Standby
vLLM engines TP, batching, KV cache

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.

details

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.

deploy

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

Pricing

Setup fee
Monthly subscription
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
Setup fee
€5,000
Includes

Initial deployment and model configuration, introductory online meetings

Monthly subscription
Basic
€1,000 per month
Includes

Regular updates, 8/5 support, basic monitoring

services

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