import{s as kt,n as wt,o as Mt}from"../chunks/scheduler.56725da7.js";import{S as Ht,i as Pt,e as s,s as l,c as S,h as zt,a as r,d as n,b as a,f as _t,g as I,j as o,k as Ct,l as St,m as i,n as A,t as q,o as E,p as B}from"../chunks/index.18a26576.js";import{C as It}from"../chunks/CopyLLMTxtMenu.08cb1880.js";import{H as rt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.bfeb55ce.js";function At(ot){let m,j,P,R,p,W,f,F,u,mt="How fast is Llama-3.3-70b on Inferentia2?  Let’s figure out!",G,h,pt="For this benchmark we will use the following configurations:",N,c,ft="<thead><tr><th>Model type</th> <th>batch_size</th> <th>sequence_length</th></tr></thead> <tbody><tr><td>Llama3.3 70b BS1</td> <td>1</td> <td>4096</td></tr> <tr><td>Llama3.3 70b BS4</td> <td>4</td> <td>4096</td></tr> <tr><td>Llama3.3 70b BS8</td> <td>8</td> <td>4096</td></tr></tbody>",U,d,ut="<em>Note: all models are compiled to use 12 devices corresponding to 24 cores on the <code>inf2.48xlarge</code> instance.</em>",Q,g,ht='<em>Note: please refer to the <a href="https://aws.amazon.com/ec2/instance-types/inf2/" rel="nofollow">inferentia2 product page</a> for details on the available instances.</em>',D,v,J,x,ct=`The time to first token is the time required to process the input tokens and generate the first output token.
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