AI you control
Run open-source models on your own servers when data can't leave your environment.
Pyalm sets up servers for AI models and applications, moves your websites, apps and databases to better hosting without losing data, and helps you choose the right cloud and database provider for cost, speed and data residency.
Run open-source models on your own servers when data can't leave your environment.
Planned cut-overs, full backups and rollback plans, so moving servers doesn't mean losing data or customers.
Hosting and databases sized for your traffic, budget and data-residency needs, not overpaid or under-powered.
Public AI APIs are the fastest way to start, but some businesses can't send customer, financial or health data to a third party. We set up self-hosted AI servers running open-source models, served through an API your applications can call, with authentication, logging and monitoring.
We size the hardware to the model and the workload, from CPU servers for small models to cloud GPU instances for larger ones, and help you weigh renting cloud GPUs against buying hardware. Read how to set up an AI server for self-hosted LLMs.
Most migrations go wrong because of something nobody listed: an email setting, a cron job, a hard-coded path or a DNS record. We inventory everything first, take full backups, rehearse the migration, lower DNS TTLs in advance and cut over in a quiet window with a tested rollback plan. Read the server migration checklist.
Managed databases from AWS, Azure, Google Cloud, DigitalOcean, Supabase, Neon, MongoDB Atlas and others all work, but they differ in cost, scaling, backups, regions and lock-in. For UAE businesses, data residency matters too: AWS, Microsoft Azure and Oracle all operate UAE cloud regions. See database hosting providers compared and cloud hosting in the UAE.
Scope, evidence, and ownership remain visible throughout the project so the finished system can be operated—not just demonstrated.
Review your current setup, data, traffic, risks and requirements, including data residency.
Choose providers, size servers, design the architecture and write the migration or setup plan.
Set up infrastructure, migrate data with backups and test before the cut-over.
Monitoring, backups, security updates and support after go-live.
Yes. We deploy open-source models on your cloud account or hardware, expose them through a secure API, and add logging, monitoring and access control.
It depends on the model size, speed and number of users. Small models can run on CPU; larger models and many concurrent users need GPUs. We size it before you spend.
Most migrations can be done with little or no visible downtime by preparing the new server in advance, syncing data and switching DNS in a planned window with a rollback option.
Yes. We can migrate workloads to UAE cloud regions offered by major providers when data residency is a requirement.
Yes. Monitoring, backups, updates, security patches and support are available as a monthly service after setup or migration.
A practical guide to running open-source AI models on your own server — choosing a model, sizing CPU or GPU, serving with Ollama or vLLM, securing the API and keeping costs under control.
How to choose a GPU server for AI workloads — inference vs training, GPU memory, common NVIDIA options, cloud vs dedicated vs on-premise, and how to avoid overspending.
A step-by-step server migration checklist — inventory, backups, DNS TTLs, email, cron jobs, testing, cut-over and rollback — for moving websites, apps and databases safely.
How to choose a managed database provider — AWS, Azure, Google Cloud, DigitalOcean, Supabase, Neon, MongoDB Atlas and others — compared on features, scaling, backups, regions and lock-in.
Why UAE businesses consider local cloud regions, which major providers operate data centres in the UAE, what data residency means, and how to plan a compliant cloud setup.
How UAE businesses move from shared hosting, on-premise servers or one cloud to another — the migration strategies, costs, risks, timelines and how to avoid downtime.