Rta LabsInference infrastructure, matched to your traffic.
Rta Labs Compute sources production inference infrastructure matched against throughput, latency, memory, geography and cost, in North America and other regions. Describe the model and the traffic; Rta Labs checks which provider options fit, whether rented capacity or your own hardware in colocation.
What Rta Labs sources
- Dedicated or shared GPU capacity for serving models in production
- API endpoints, containers or bare metal, depending on how you deploy
- Capacity sized to average and peak traffic, with room to grow
- Options near your users, with data residency where required
What to include in your request
- Model family and size or parameter range; serving framework if fixed
- GPU preference and minimum VRAM
- Traffic: average and peak requests per second, tokens per second, concurrency
- Latency target and uptime target
- Where your users are, and any data residency requirement
- Autoscaling, dedicated or shared, and API, container or bare metal
- Expected monthly spend and growth over six months
For each major point, say whether it is required, preferred or flexible.
Location, residency and control
Rta Labs Compute sources worldwide, with a focus on North America. You can require a country, set a preferred region or metro, and say whether a location is required or only preferred.
You can require data residency in a specific country, or a provider controlled in a specific country, such as a Canadian-controlled provider. Rta Labs verifies these per provider and per requirement.
Physical location alone does not make a provider sovereign. Rta Labs does not label a provider sovereign on location alone.
When a workload allows it, Rta Labs also checks options in other regions.
Inference Infrastructure Sourcing FAQ
Do I need to share my model or prompts?
No. Never send model weights or proprietary prompts. Describe the model family, size and traffic; Rta Labs only needs infrastructure requirements.
Can inference run in a specific country for users there?
You can require a country and data residency there, or state where your users are. Rta Labs verifies residency and provider control per provider rather than assuming it from location.
How does Rta Labs compare inference options?
Options are normalized on GPU, memory, location, deployment model, term, service levels and total cost, and each option shows which of your required and preferred requirements it meets.
Capacity, pricing, and delivery and deployment dates are confirmed with suppliers before a formal option is presented. Suppliers deliver under their own agreements, and their identities stay private until an introduction is approved.
Tell us what you need.
A person at Rta Labs reads every request. Incomplete requirements are welcome.
Also sourced: GPU hardware · GPU compute · AI colocation