import{s as Ct,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 z,h as St,a as r,d as n,b as a,f as _t,g as I,j as o,k as kt,l as zt,m as i,n as A,t as B,o as j,p as E}from"../chunks/index.18a26576.js";import{C as It}from"../chunks/CopyLLMTxtMenu.f4001e5e.js";import{H as rt}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.d7e7b6b3.js";function At(ot){let m,q,P,R,p,W,f,F,u,mt="How fast is Llama-3.1-8b on Inferentia2?  Let’s figure out!",G,h,pt="For this benchmark we will use the following configurations:",N,d,ft="<thead><tr><th>Model type</th> <th>batch_size</th> <th>sequence_length</th></tr></thead> <tbody><tr><td>Llama3.1 8b BS1</td> <td>1</td> <td>4096</td></tr> <tr><td>Llama3.1 8b BS4</td> <td>4</td> <td>4096</td></tr> <tr><td>Llama3.1 8b BS8</td> <td>8</td> <td>4096</td></tr> <tr><td>Llama3.1 8b BS16</td> <td>16</td> <td>4096</td></tr> <tr><td>Llama3.1 8b BS32</td> <td>32</td> <td>4096</td></tr> <tr><td>Llama3.1 8b BS48</td> <td>48</td> <td>4096</td></tr></tbody>",U,c,ut="<em>Note: all models are compiled to use 4 devices corresponding to 8 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,$,dt=`The time to first token is the time required to process the input tokens and generate the first output token.
It is a very important metric, as it corresponds to the latency directly perceived by the user when streaming generated tokens.`,K,x,ct="We test the time to first token for increasing context sizes, from a typical Q/A usage, to heavy Retrieval Augmented Generation (RAG) use-cases.",O,b,gt="Time to first token is expressed in <strong>seconds</strong>.",V,T,vt='<img src="https://raw.githubusercontent.com/huggingface/optimum-neuron/main/docs/assets/benchmarks/inferentia-llama3.1-8b/ttft.png" alt="Llama3.1 8b inferentia2 TTFT" title="Time to first token"/>',X,L,Y,y,$t="The inter-token latency corresponds to the average time elapsed between two generated tokens.",Z,_,xt="It is expressed in <strong>milliseconds</strong>.",tt,k,bt='<img src="https://raw.githubusercontent.com/huggingface/optimum-neuron/main/docs/assets/benchmarks/inferentia-llama3.1-8b/latency.png" alt="Llama3.1 8b inferentia2 inter-token latency" title="Inter-token latency"/>',et,C,nt,w,Tt=`Unlike some other benchmarks, we evaluate the throughput using generated tokens only, by dividing their number
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