AlphaTango

What does reliability cost?

The Llama-3-70B chat assistant needs 32 H200 GPUs, $57,600 a month. Surviving a server failure takes 44 GPUs ($79,200); surviving a whole rack failing takes 68 ($122,400). Know the price of each promise.

Teams with uptime promises
Surviving a rack failure: 2.1× the bill

Capacity Planner / demo 5

01What you enter, what you get

You enter
Capacity Planner input

The same Llama-3-70B chat assistant as demo 2 (live chat, chat and batch summaries, 70 requests a second) on DGX H200 racks, with two availability settings: N+1 against a server failure and N+1 against a whole-rack failure, each with 10% headroom.

You get
Capacity Planner result

Base fleet: 32 GPUs, about $57,600 a month. Survive a server failure: 44 GPUs, about $79,200 (+38%). Survive a rack failure: 68 GPUs, about $122,400 — 2.1× the bill with no failure protection, because a whole spare 32-GPU rack stands by. Every speed promise met in all three.

02The Capacity Planner's report

Every run produces a report you can share: the workload, the recommended cluster, each traffic pattern against its speed promise, and the economics. This is the summary report from this demo, exactly as the Capacity Planner produced it.

Summary report · Survive a server failure
First page of the Capacity Planner summary report Download the PDF
Summary report · Survive a rack failure
First page of the Capacity Planner summary report Download the PDF

03Watch

The demo in 34 seconds.

The real Capacity Planner screens, sped up.

Let’s see what your fleet can really do.

Book a demo