S Syvidea
Decision entry point

Start here
— workload-based AI system selection

We evaluate your workload context and map your requirements to optimized hardware configurations. Every recommendation is manually reviewed and validated within 24–48 hours.

What this means for you:

You are guided through a structured decision path instead of selecting hardware directly. All configurations are manually reviewed and validated within 24–48 hours.

How to Get Started

Select the path that matches your current stage

Path A: I know my workload

I have specific models or frameworks in mind

You know exactly what you need. We'll validate your requirements against our hardware and provide a tailored configuration proposal.

Path B: I need validation

I'm not sure if local inference fits my budget

You're exploring options. We'll share benchmark data and help you understand what's possible with local AI.

Path C: Complex deployment

I need custom software stack or multi-node

You have advanced requirements. Let's discuss your specific needs and design a complete solution.

*For custom software stacks, multi-node setups, or enterprise deployments.*

All three paths lead to a manually reviewed, validated configuration proposal within 24–48 hours.

Workload Optimization

What You Get: Workload-Specific Optimization

We don't just ship hardware. We pre-configure the software stack based on your use case.

Your Workload Our Configuration Key Optimizations
Local LLM Chat (Llama 3, Qwen)
Optimized VRAM allocation, LM Studio pre-installed 96GB dynamic VRAM, model library pre-loaded
RAG Pipeline (Vector DB, knowledge base)
Vector DB optimization, high-speed storage indexing SSD I/O tuning, embeddings cache optimization
AI Agents (Tool-using, coding agents)
Multi-process allocation, background task management Parallel processing, resource pooling
Multimodal (Vision/Audio/Video)
NPU driver tuning, mixed-precision setup XDNA 2 acceleration, media pipeline optimization
The Process

Four steps to your configured workstation

Submit Requirements

Describe your workload, model size, and use case.

Manual Validation

We evaluate your needs against our hardware specifications.

Pre-configuration

Software stack optimized for your specific workload.

Shipping

Workstation delivered with your custom setup.

Not sure yet?

Use the recommendation engine

Answer 5 questions about your AI workload. We'll instantly map your needs to the best hardware configuration.

Map your workload to hardware without spending hours researching specifications.