Your own AI coding server. Shared with your squad.
Run frontier-class open-source models on dedicated 8× RTX 5090 servers. Split the cost with your squad. No rate limits. No token metering.
Token pricing is broken for power developers
Agentic coding burns 1.5B+ tokens per month
A single power developer burns 40–60M tokens per day — that's ~1.5B tokens per month. A squad of 5? Over 7B. At Claude Sonnet API rates, that's ~$20,000/month. Even the cheapest open-source API option costs ~$1,650+.
Subscriptions throttle or bankrupt you
Cursor Ultra's $200/month covers ~500M tokens — extreme users exhaust it in ~10 days, then pay-per-token kicks in. Claude Max limits you to ~25M uncached tokens/week. Exceed the limit? Overage at full Sonnet API rates ($3/$15 per 1M in/out) gets expensive fast.
Self-hosting costs $30,000+
Running a 200B+ model needs datacenter GPUs, specialized hardware, and ongoing ops. The dream of 'your own server' is real — but at what cost?
Token pricing is fractional reserve banking
Providers charge each user full price while serving 10 concurrent users at only ~20% extra cost. You're paying for compute that's multiplied, not dedicated.
Live in under 10 minutes
Create your Squad Server
Pick your model (MiniMax M2.5, GLM-5, DeepSeek V3.2, Qwen3), choose your GPU tier, set your daily hours.
Invite your squad
Share a link. Up to 10 people join. Thanks to vLLM's parallel processing, everyone uses it simultaneously with minimal performance loss.
Point your tools
Get an OpenAI-compatible endpoint. Plug it into Cursor, Continue, aider, or any SDK. Just change the API URL.
Split the cost
Equal split, owner-pays, or usage-based. syndicAI handles billing so you don't need a spreadsheet.
Built for developers who push hard
Frontier-class OSS models
MiniMax M2.5, GLM-5, DeepSeek V3.2, Qwen3-Coder — models that rival Claude Opus on coding benchmarks. Open-weight, continuously improving.
OpenAI-compatible API
Every Squad Server exposes a standard /v1/chat/completions endpoint. Works with every tool that supports OpenAI's API.
Pay by GPU-hour, not token
A busy squad and a light squad on the same tier pay the same. The GPU costs the same whether it processes 50M or 400M tokens/day.
Your data stays on your node
Token data never leaves the GPU instance. syndicAI's control plane handles management only — CRUD, billing, lifecycle. Zero token data flows to central.
Auto-start, auto-stop
Server spins up when you need it, idles down when you don't. No wasted GPU-hours, no manual babysitting.
10-minute setup
No Docker configs, no GPU marketplace hunting, no SSH into remote machines. Click, pay, code.
How syndicAI compares
Monthly cost for a 5-person squad of power developers burning ~1.5B tokens/month each.
Cursor Ultra
- Monthly cost
- ~$4,000–5,000+ total
- Model quality
- Frontier (proprietary)
- Rate limits
- ~500M tokens included, then pay-per-token
- Data privacy
- Third-party routing
- Setup effort
- None
Claude Max
- Monthly cost
- $1,000–$13,000+ (depends on overage)
- Model quality
- Frontier
- Rate limits
- Weekly uncached token budgets
- Data privacy
- Anthropic servers
- Setup effort
- None
Claude API (Sonnet)
- Monthly cost
- ~$20,000–21,000
- Model quality
- Frontier
- Rate limits
- None
- Data privacy
- Anthropic servers
- Setup effort
- Minimal
OpenRouter MiniMax M2.5
- Monthly cost
- ~$1,600–1,700
- Model quality
- Near-frontier
- Rate limits
- None
- Data privacy
- Third-party routing
- Setup effort
- Minimal
Own server (8× RTX 5090)
- Monthly cost
- ~$800–1,400 + $20K upfront
- Model quality
- Your choice
- Rate limits
- None
- Data privacy
- Full control
- Setup effort
- Days to weeks
syndicAI Standard Recommended
- Monthly cost
- ~$284 max (pay-as-you-go)
- Model quality
- Near-frontier OSS
- Rate limits
- None, ever
- Data privacy
- Data stays on GPU node
- Setup effort
- Under 10 minutes
Built for squads who code with AI all day
Power-user dev squads
2–10 friends or collaborators already using agentic coding workflows. You've hit the rate limits. You've seen the API bills. You know there has to be a better way.
Small dev teams
3–30 engineers who want their own coding AI 'box' with team-level controls, usage visibility, and predictable costs.
Data-conscious teams
Teams that need to control where compute and code data live. Token data stays on your GPU node — never routed through a third party.
Stop paying the token tax.
Your squad's AI coding server is 10 minutes away. Frontier-class models, shared infrastructure, split costs.