Larger models · Local execution · Existing hardware
ONE MODEL. MULTIPLE MACHINES.Illustration
120B parameters. One local model.
ABC
Too large for one machine
↓ Split across suitable existing hardware
A
Computer 132GB RAM + GPU
Model part A
B
Computer 232GB RAM + GPU
Model part B
C
Computer 332GB RAM + GPU
Model part C
120B model · 3 computers · 32GB RAM each
Illustrative 120B configuration. Model fit depends on the model, quantization and available hardware. Switch computers on or off to explore.
START WITH YOUR QUESTION
Where are you starting?
Run a model you trust, choose a local AI package, or explore a new use case with us.
LOXIA GRID INFRASTRUCTURE
Have a use case and a model you trust, but not enough hardware?
Run your model across the hardware you own.
Loxia Grid splits a supported model across suitable computers or servers inside your organization. Run a model that is too large for a single machine by combining the capacity of your existing hardware.
We review your model, machines and network, then agree the supported setup.
Want to chat with your data or bring local AI to your developers?
Choose a package built around small language models running inside your organization.
Smart Knowledge package
Chat with your organization’s data. Ask questions about internal files and receive answers through a local chat interface powered by a small language model.
Software Development package
Give your developers local AI assistance powered by a supported small language model, configured for your team’s development workflow.
Not sure a small language model can deliver what you need?
Test your use case with us.
We work with you to choose a specific task and model, agree what success looks like, and set a defined testing period. Then we run the pilot and show you the results, including what worked and where the model fell short.
A separate evaluation service to help you decide whether to proceed with a deployment.
A 120-billion-parameter model split across three computers, each with 32GB RAM and a graphics card.
Example configuration. Compatibility depends on the selected model, quantization and hardware.
32GBRAM + GPU+32GBRAM + GPU+32GBRAM + GPU
HOW THE MACHINES WORK TOGETHER
Your existing hardware. A larger local AI model.
Loxia distributes different parts of a supported model across connected machines. They participate in the same model execution, while the model and your data stay inside your organization.
01
Split the model
Different machines hold different parts of the same supported model.
02
Run the parts together
Loxia coordinates execution across the participating machines.
03
Use it locally
Your team uses the model through the local environment configured for your chosen solution.
FROM YOUR GOAL TO LOCAL AI
Start with the outcome. Then configure the deployment.
01 / CHOOSE
Define what you want to run.
Bring your chosen model, choose a local AI package, or start with a separate pilot to evaluate a new task.
02 / CONFIGURE
Match the setup to the workload.
We review the model, available memory, machines and network, then agree the supported configuration.
03 / DEPLOY
Run it inside your organization.
We set up the agreed local environment and confirm the outcome with your team.
EXISTING HARDWARE FIRST
Where the configuration supports it, no new hardware is needed. If it doesn’t, we explain what must change before you commit.
BEFORE YOU START
A few practical questions.
Can we run any model on any hardware?
No. The model must be supported, and the machines and network must meet its requirements. Splitting a model helps it fit across machines; it does not remove those requirements.
Does connecting more machines guarantee faster answers?
No. Performance depends on the model, hardware, network and workload. The illustration explains model splitting and does not represent a speed or capacity benchmark.
Can we run AI on our company’s data without sending it to the cloud?
Yes. With a local deployment, supported AI models run on your organization’s computers and servers. Your documents, prompts and answers can stay inside your environment. Loxia Grid connects the devices that run the model. We review your chosen model, hardware, network and integrations to plan a setup that keeps processing local.
Can we start with a specific use case?
Yes. Choose the Smart Knowledge package for chat with your organization’s data, or the Software Development package for local coding assistance. Both use small language models. If you need to find out whether a model can handle a new task, start with a separate use case pilot. We agree the task, model, testing period and evaluation criteria with you before testing.
Can small language models work well in Hebrew?
Yes. We have had good results making small language models work well in Hebrew, including with large Hebrew datasets. We can provide production-grade local AI solutions powered by small language models, with full Hebrew support inside your organization.
How long does deployment take?
We can deploy Loxia Grid to a first department within 2 to 3 weeks once the scope, hardware, network access and required approvals are ready. Timing depends on your environment and coordination with your team. We confirm the deployment plan before starting.