https://verificate.ai/_next/static/chunks/pages/benchmarks-ca86ba63efb2cc8e.js

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Audited GuideLLM numbers on AMD EPYC included."}),(0,a.jsx)(i.Nv,{}),(0,a.jsxs)("div",{className:"relative overflow-hidden",children:[(0,a.jsx)("div",{className:"absolute -top-40 right-[-10%] w-[55%] h-[55%] rounded-full opacity-[0.15] pointer-events-none",style:{background:"radial-gradient(circle,#8CCB43 0%,rgba(140,203,67,0) 68%)"}}),(0,a.jsxs)(i.wn,{className:"relative pt-36 pb-14",children:[(0,a.jsx)(n.P.div,{initial:"hidden",animate:"show",variants:l,children:(0,a.jsx)(i.YZ,{children:"Audited performance \xb7 speed + trust"})}),(0,a.jsxs)(n.P.h1,{initial:"hidden",animate:"show",custom:1,variants:l,className:"mt-6 text-4xl sm:text-5xl md:text-6xl font-bold tracking-tight text-white leading-[1.06] max-w-4xl",children:["Performance you can measure.",(0,a.jsx)("br",{}),"Trust as a new engine column."]}),(0,a.jsxs)(n.P.p,{initial:"hidden",animate:"show",custom:2,variants:l,className:"mt-6 text-lg text-white/60 max-w-2xl leading-relaxed",children:["Most inference engines publish tok/s only. HELIX adds a trust surface: a 0–100% confidence score at under 1% compute (near-zero added cost on GPU). Serving numbers below are from the official vLLM GuideLLM harness on AMD EPYC 9254 — ",(0,a.jsx)("strong",{className:"text-white",children:"640/640 requests, zero errors"})," ",(0,a.jsx)(i.y0,{kind:"M"}),"."]}),(0,a.jsx)(n.P.p,{initial:"hidden",animate:"show",custom:3,variants:l,className:"mt-3 text-[15px] text-white/45 max-w-2xl",children:"HELIX runs across GPU, CPU, edge, and IoT. These CPU serving rows are one measured lane — not the whole product identity. Prefer residual risk at a review budget when quoting trust results."}),(0,a.jsxs)(n.P.div,{initial:"hidden",animate:"show",custom:3,variants:l,className:"mt-14 grid grid-cols-2 md:grid-cols-4 rounded-lg border border-white/[0.08] bg-[#12160F] overflow-hidden max-w-4xl",children:[(0,a.jsx)(i.ro,{n:"940",unit:"ms",k:"p50 TTFT at c=1"}),(0,a.jsx)(i.ro,{n:"12.9",unit:"\xd7",k:"faster TTFT than Ollama (c=4)"}),(0,a.jsx)(i.ro,{n:"100",unit:"%",k:"valid JSON, every tier"}),(0,a.jsx)(i.ro,{n:"98.5",unit:"%",k:"of FP16 accuracy at 4-bit"})]})]})]}),(0,a.jsxs)(i.wn,{className:"py-10",children:[(0,a.jsx)(i.YZ,{children:"Primary matrix"}),(0,a.jsx)("h2",{className:"mt-4 text-2xl md:text-3xl font-bold text-white tracking-tight",children:"HELIX v1.7 vs stock Ollama"}),(0,a.jsx)("div",{className:"mt-8 overflow-x-auto rounded-2xl border border-white/[0.08]",children:(0,a.jsxs)("table",{className:"w-full text-sm min-w-[720px]",children:[(0,a.jsx)("thead",{children:(0,a.jsxs)("tr",{className:"bg-[#0E120C] text-left font-mono text-[11px] uppercase tracking-wider text-white/45",children:[(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"System"}),(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"Conc."}),(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"TTFT p50"}),(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"TTFT p95"}),(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"Valid JSON"}),(0,a.jsx)("th",{className:"px-5 py-3 font-semibold",children:"Tokens / req"})]})}),(0,a.jsx)("tbody",{children:d.map((e,t)=>{let s=e[0].startsWith("HELIX");return(0,a.jsxs)("tr",{className:"border-t border-white/[0.06] ".concat(s?"bg-[#15200D]/40":""),children:[(0,a.jsx)("td",{className:"px-5 py-3 font-semibold ".concat(s?"text-[#a5db6b]":"text-white/60"),children:e[0]}),(0,a.jsx)("td",{className:"px-5 py-3 font-mono",children:e[1]}),(0,a.jsx)("td",{className:"px-5 py-3 font-mono ".concat(s?"text-[#8CCB43]":""),children:e[2]}),(0,a.jsx)("td",{className:"px-5 py-3 font-mono text-white/60",children:e[3]}),(0,a.jsx)("td",{className:"px-5 py-3",children:e[4]}),(0,a.jsx)("td",{className:"px-5 py-3",children:e[5]})]},t)})})]})}),(0,a.jsxs)("p",{className:"mt-3 text-xs text-white/35 font-mono",children:["Ollama returns ~16-token fragments at 32K (full Mamba2 SSM state rebuild); HELIX returns complete schema-valid extractions. 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