AI Infrastructure Performance Audit
A hands-on audit of your AI inference stack — architecture, cost model, bottlenecks, latency, provider fit and reliability — with a 60–90 minute technical debrief. From $2,500.
AI Infrastructure Performance Audit
You’re running AI in production and the bill is climbing, latency is creeping, or you’re not sure the architecture will survive your next traffic spike. This audit gives you a clear, evidence-based picture of where your money and performance are going — and a prioritized plan to fix it.
What you get
A hands-on review of your inference stack, delivered as a written report plus a live technical debrief:
- Current architecture assessment — how your inference pipeline is actually built, end to end
- Inference cost model — what each component costs per 1M tokens and per month, and where the waste is
- Bottleneck identification — where latency and throughput are lost (GPU, network, framework, batching)
- Latency / throughput review — measured against what your workload actually needs
- Provider comparison — is your current GPU/API provider the right one for your traffic?
- Reliability / failover assessment — what happens when a provider or GPU fails
- GPU / API optimization recommendations — prioritized, with expected impact
- 60–90 minute technical debrief — walk through the findings live, ask anything
Pricing
| Offer | Price | Best for |
|---|---|---|
| AI Infrastructure Performance Audit | $2,500–$5,000 | Teams with a live inference stack that want to cut cost and improve performance |
| Production AI Architecture Review | $5,000–$12,000 | Teams preparing to scale — architecture, capacity planning, and provider strategy |
Why RavChat
The benchmarks on this site are the proof. Every article is built on real, reproducible testing — GPU comparisons, speculative decoding, cost analysis, production reliability. You’re not hiring a generic consultant; you’re hiring someone who has already done the work in public.
How it works
- Intro call — 20 minutes to scope your stack and confirm fit (free)
- Audit — I review your architecture, configs, and cost data (1–2 weeks)
- Report + debrief — written findings plus a 60–90 minute live walkthrough
- Optional follow-up — implementation support or a scaling architecture review
Get started
Email me to book a free scoping call:
claudiu.raveica@gmail.com — subject line “AI Infrastructure Audit”
Tell me a bit about your stack (models, providers, rough traffic) and I’ll confirm whether the audit is a good fit.
Book a free scoping call
Tell me about your stack and I'll confirm whether the audit is a good fit — no obligation.
Email me about an audit