Managed hosting

Open models on rented GPUs, run for you

silybench measures what self-hosting really costs. We then deploy and operate your open model on the cheapest GPUs that meet your latency target, and keep proving it's cheaper than the API.

Get a quotePrice your traffic first

Launch

Your model live on the cheapest GPU that meets your latency target

  • Benchmark your model and traffic shape on 2-3 candidate GPUs
  • vLLM deployment with an OpenAI-compatible endpoint, TLS and API keys
  • Right precision (BF16/FP8) chosen from measured accuracy
  • Hand-over runbook, or move up to Managed
One-off, fixed quote

Managed

Most chosen

We run it; you use the endpoint

  • Everything in Launch
  • Monitoring of latency, errors and GPU health, with alerts and an on-call response
  • Autoscaling for peaks, and failover to a second provider
  • Monthly model/engine upgrades, re-benchmarked before rollout
  • Monthly cost report: GPU spend vs what the API would have cost
Monthly fee + GPU cost at provider list price

Optimize

Already self-hosting? Cut the bill

  • Audit of your current serving stack against silybench numbers
  • Engine, quantization and batching tuning
  • Provider and GPU re-selection, spot/reserved strategy
Fixed fee, or a share of the savings

How it works

  1. Step 1
    Measure

    We benchmark your model and request shape on candidate GPUs, the same way as every run on this site.

  2. Step 2
    Choose

    Cheapest GPU × provider × precision that meets your latency and accuracy bar.

  3. Step 3
    Deploy

    vLLM behind an OpenAI-compatible endpoint, so switching from an API is a base-URL change.

  4. Step 4
    Operate

    Monitoring, scaling, upgrades and a monthly cost report against the API alternative.

FAQ

Whose GPUs does it run on?
Rented from public GPU clouds (RunPod, Lambda, Nebius, Vast, GCP, …), in your account or ours. We pick by measured cost at your latency target, not by partnership.
Is my data sent to a third-party model API?
No. The model runs on dedicated GPUs; prompts never leave the deployment. That matters for privacy and compliance, and it's often why teams self-host even at low volume.
What if my traffic is small?
Below the break-even volume on the home page, an API is cheaper, and we'll tell you so. Managed hosting pays off above break-even, or when privacy, latency or customization matter more than price.
Can I check your numbers?
Yes. Every benchmark, price and cost formula is public in silybench-data, and anyone can re-run a benchmark on their own rented GPU with one prompt to Claude.