Measure First. Buy Second.
Most AI infrastructure projects start with guesswork: guessing model size, guessing VRAM requirements, and overpaying for hardware that does not fit. We test your actual workload on live local machines before you spend a single dollar.
30 minutes on a private model
Connect via Open WebUI in your browser or point your tooling at an OpenAI-compatible endpoint on the same machine. Judge quality and integration yourself.
Your workload, measured
Your documents, your traffic pattern, your user count. We measure tokens per second, first-token latency, p95, concurrency, and cost crossover.
The readout picks the box
Deploy a DGX Spark, a dual/quad Spark link, a custom RTX PRO 6000 workstation, or a private cluster. Every recommendation is driven by data.
What the Assessment Measures
Below is an example readout generated for an enterprise legal team testing contract review workloads across 12 concurrent users.
- Prompt Length
- 1,200 tokens (Contract Review)
- Generation Target
- 450 tokens
- First-Token Latency
- 142 ms
- Generation Speed
- 84.2 tok/s (single stream)
- 12-User Concurrency
- 62.8 tok/s aggregate / user p95 210 ms
- VRAM Usage
- 54 GB / 128 GB Unified (57% headroom)
- Cost Crossover
- 4.2 months vs. current frontier cloud API pricing
Sample figures based on measured benchmark tests. Your assessment will use your actual prompts and documents.
Throughput & Latency
We measure time-to-first-token (TTFT) and token generation rates across single-session and multi-session prompts to ensure real-time responsiveness.
Concurrency Ceiling
We stress-test the local vLLM serving engine up to your target user count, finding the exact point where queue times degrade experience.
Cost Crossover
We compare your current monthly cloud API invoices against fixed hardware CapEx to calculate the exact month where local ownership pays off.
Request Your Workload Assessment
Fill out your workload parameters below. We will set up a private test session and generate your custom readout.