Arcium’s architecture for confidential LLM inference.
Until now, the industry standard for confidential inference has utilized a Confidential Virtual Machine (CVM) launched on top of CPU TEEs (Intel TDX or AMD-SEV) sitting on the GPU host. However, TEEs have an extensive history of breaches and compromises. This is where trust and security collapse.Blackthorn is Arcium’s replacement for vulnerable CPU TEEs and encrypts the outer channel with AES keys secret-shared across MPC nodes. It lets you run a model on infrastructure you don’t control (a cloud GPU, a rented box, someone else’s cluster) without that operator or Arcium ever seeing your prompts or the model’s responses.
Your prompts and the model’s responses are readable only on your own device and inside the GPU’s protected memory, never to the machine that hosts the GPU.
Trust is split, not concentrated: no single party, including the host operator, holds the keys that could open your traffic.
It runs on standard, shipping hardware — no custom silicon, no CPU TEE on the host.
Blackthorn runs on shipping NVIDIA Confidential-Computing GPUs. It supports NVIDIA Hopper (H100) and Blackwell (B300) GPUs.
{"docsConfig":{"theme":"mint","$schema":"https://mintlify.com/docs.json","name":"Arcium Docs","colors":{"primary":"#654490","light":"#9162ce","dark":"#9162ce"},"logo":{"light":"https://mintcdn.com/arcium/9466H0KeSU-eNM9-/logo/ARCIUM_Primary-Icon_light.svg?fit=max\u0026auto=format\u0026n=9466H0KeSU-eNM9-\u0026q=85\u0026s=0728c3fe7f1e35b74b1b8905001d3f8e","dark":"https://mintcdn.com/arcium/9466H0KeSU-eNM9-/logo/ARCIUM_Primary-Icon_dark.svg?fit=max\u0026auto=format\u0026n=9466H0KeSU-eNM9-\u0026q=85\u0026s=6d43cbfdc64bad53a8e9c107f4fb3bc3"},"favicon":"https://mintcdn.com/arcium/9466H0KeSU-eNM9-/favicon.svg?fit=max\u0026auto=format\u0026n=9466H0KeSU-eNM9-\u0026q=85\u0026s=8b2b2e88542a6f5f6ff7c0938f345f35","background":{"color":{"dark":"#000"}},"navbar":{"links":[{"href":"https://www.arcium.com/","label":"arcium.com"},{"href":"https://x.com/arcium","label":"X @arcium"}]},"contextual":{"options":["copy","view","chatgpt","claude","perplexity","mcp","cursor","vscode"],"display":"header"},"styling":{"latex":true},"navigation":{"pages":[]}},"deployment":{"deploymentMetadataValue":{"subdomain":"arcium","hasAudioNarration":false,"actualSubdomain":"arcium","customDomains":["docs.arcium.com"],"gitSource":{"type":"github","owner":"arcium-hq","repo":"arcium-mintlify-docs","deployBranch":"main","contentDirectory":"","isPrivate":true,"mountPath":"","label":""},"entitlements":{"AI_CHAT":{"status":"ENABLED"},"WEB_MCP":{"status":"ENABLED"},"NARRATION":{"status":"ENABLED"}},"buildId":"6aed9ab9644e5d1cbd4c25d6","clientVersion":"0.0.4094","searchFilterCounts":[{"language":"default","tag":"Developers","count":32},{"language":"default","tag":"Documentation","count":25},{"language":"default","tag":"Arcis","count":8},{"language":"default","tag":"INTRODUCTION","count":6},{"language":"default","tag":"Blackthorn","count":5},{"language":"default","tag":"GETTING STARTED","count":5},{"language":"default","tag":"CLUSTERS","count":5},{"language":"default","tag":"COMPUTATIONS","count":5},{"language":"default","tag":"Invoking a Computation from your Solana program","count":5},{"language":"default","tag":"ARX NODES","count":3}]},"assistantConfig":{"enableStarterQuestions":false},"basePath":"","hasChatPermissions":true,"hasWebMcpPermissions":true,"toggles":[{"name":"kill-isr","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"agent-mintlify-slack","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"agent-integrations-settings","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"rbac-expansion","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automations-pr-grouping","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"custom-prefix","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"analytics-v7","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"user-flows-analytics","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"no-publish-flow","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workos-onboarding","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"llms-txt-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"snapshot-serving-live","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"stripTemperatureMiddleware","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"support-platform-pylon-zendesk","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"snapshot-serving","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"instant-rollback","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"granular-notifications-server","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"granular-notifications","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automations-fable","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"fixed-ai-action-pricing","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"automation-resolve-merge-conflict","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"scoped-publishing","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"mintql","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"page-level-analytics","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-version-history-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"billing-page-v2","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"full-page-search","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workspace-projects","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"assistant-v5","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"fork-pr-previews","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"revalidation-jwt","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workos-sso-scim","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"hobby-abuse-scan","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"dashboard-inbox","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workos-signup","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"turbopuffer-dual-write","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"workos-enabled","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"approve-review-flow","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"editor-metadata","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"sso-setup-deadline-banner","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"turbopuffer-serve","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"live-agents","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false},{"name":"comment-mode","enabled":true,"variant":{"name":"disabled","enabled":false,"feature_enabled":true},"impressionData":false}],"googleFontsInlined":false},"customCss":[{"filePath":"style.css","content":"html.dark .nav-tabs-item:has(.bg-primary){color:#9162ce!important}.nav-tabs-item:has(.bg-primary){color:#654490!important}#sidebar-content li a.bg-primary\\/10{background-color:transparent!important}html.dark #content .link{color:#9162ce!important}#content .link{color:#654490!important}button:has(+ul li a.bg-primary\\/10){color:#654490!important}button:has(+ul li a.bg-primary\\/10) svg:first-of-type:not(.transition-transform){background-color:#654490!important}html.dark button:has(+ul li a.bg-primary\\/10){color:#9162ce!important}html.dark button:has(+ul li a.bg-primary\\/10) svg:first-of-type:not(.transition-transform){background-color:#9162ce!important}a[href^=\"http\"]:not([href=\"https://auth0.com\"])::after{margin-left:4px;position:relative;top:1px;content:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='14' height='14' viewBox='0 0 24 24' fill='none' stroke='%23000000' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E\u003cpath d='M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6'>\u003c/path>\u003cpolyline points='15 3 21 3 21 9'>\u003c/polyline>\u003cline x1='10' y1='14' x2='21' y2='3'>\u003c/line>\u003c/svg>\")}.dark a[href^=\"http\"]:not([href=\"https://auth0.com\"])::after{content:url(\"data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='14' height='14' viewBox='0 0 24 24' fill='none' stroke='%239162ce' stroke-width='2' stroke-linecap='round' stroke-linejoin='round'%3E\u003cpath d='M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6'>\u003c/path>\u003cpolyline points='15 3 21 3 21 9'>\u003c/polyline>\u003cline x1='10' y1='14' x2='21' y2='3'>\u003c/line>\u003c/svg>\")}#footer a[href^=\"http\"]::after,#navbar a[href^=\"http\"]::after,#sidebar-content a[href^=\"http\"]::after,a.no_external_icon[href^=\"http\"]::after,a.card[href^=\"http\"]::after{content:none!important}a strong{color:#654490!important}html.dark a strong{color:#9162ce!important}"}],"page":{"pagePath":"blackthorn/what-it-is","slug":"/blackthorn/what-it-is","pageMetadata":{"title":"What is Blackthorn?","description":"Arcium's architecture for confidential LLM inference.","href":"/blackthorn/what-it-is"},"description":{"compiledSource":"\"use strict\";\nconst {jsx: _jsx} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = {\n p: \"p\",\n ..._provideComponents(),\n ...props.components\n };\n return _jsx(_components.p, {\n children: \"Arcium’s architecture for confidential LLM inference.\"\n });\n}\nfunction MDXContent(props = {}) {\n const {wrapper: MDXLayout} = {\n ..._provideComponents(),\n ...props.components\n };\n return MDXLayout ? _jsx(MDXLayout, {\n ...props,\n children: _jsx(_createMdxContent, {\n ...props\n })\n }) : _createMdxContent(props);\n}\nreturn {\n default: MDXContent\n};\n","frontmatter":{},"scope":{}},"pageType":"default","mdx":{"mdxSource":{"compiledSource":"\"use strict\";const{Fragment:_Fragment,jsx:_jsx,jsxs:_jsxs}=arguments[0];const{useMDXComponents:_provideComponents}=arguments[0];function _createMdxContent(props){const _components={a:`a`,li:`li`,p:`p`,strong:`strong`,ul:`ul`,..._provideComponents(),...props.components},{Heading,Note}=_components;if(!Heading)_missingMdxReference(`Heading`,true);if(!Note)_missingMdxReference(`Note`,true);return _jsxs(_Fragment,{children:[_jsx(_components.p,{children:`Until now, the industry standard for confidential inference has utilized a Confidential Virtual Machine (CVM) launched on top of CPU TEEs (Intel TDX or AMD-SEV) sitting on the GPU host. However, TEEs have an extensive history of breaches and compromises. This is where trust and security collapse.`}),`\n`,_jsx(_components.p,{children:`Blackthorn is Arcium’s replacement for vulnerable CPU TEEs and encrypts the outer channel with AES keys secret-shared across MPC nodes. It lets you run a model on infrastructure you don’t control (a cloud GPU, a rented box, someone else’s cluster) without that operator or Arcium ever seeing your prompts or the model’s responses.`}),`\n`,_jsx(Heading,{level:`2`,id:`what-you-get-with-blackthorn`,children:`What you get with Blackthorn`}),`\n`,_jsxs(_components.ul,{children:[`\n`,_jsxs(_components.li,{children:[`Your prompts and the model’s responses are readable only on `,_jsx(_components.strong,{children:`your own device`}),` and inside the `,_jsx(_components.strong,{children:`GPU’s protected memory`}),`, never to the machine that hosts the GPU.`]}),`\n`,_jsxs(_components.li,{children:[`Trust is `,_jsx(_components.strong,{children:`split`}),`, not concentrated: no single party, including the host operator, holds the keys that could open your traffic.`]}),`\n`,_jsxs(_components.li,{children:[`It runs on `,_jsx(_components.strong,{children:`standard, shipping hardware`}),` — no custom silicon, no CPU TEE on the host.`]}),`\n`]}),`\n`,_jsx(Note,{children:_jsxs(_components.p,{children:[`Blackthorn runs on shipping `,_jsx(_components.strong,{children:`NVIDIA Confidential-Computing GPUs`}),`. It supports NVIDIA Hopper (H100) and Blackwell (B300) GPUs.`]})}),`\n`,_jsxs(_components.p,{children:[`Next: `,_jsx(_components.a,{href:`/blackthorn/how-it-works`,children:`how it works`}),`.`]})]})}function MDXContent(props={}){const{wrapper:MDXLayout}={..._provideComponents(),...props.components};return MDXLayout?_jsx(MDXLayout,{...props,children:_jsx(_createMdxContent,{...props})}):_createMdxContent(props)}return{default:MDXContent};function _missingMdxReference(id,component){throw new Error(`Expected `+(component?`component`:`object`)+\" `\"+id+\"` to be defined: you likely forgot to import, pass, or provide it.\")}","frontmatter":{},"scope":{"config":{},"pageMetadata":{"title":"What is Blackthorn?","description":"Arcium's architecture for confidential LLM inference.","href":"/blackthorn/what-it-is"}}},"mdxSourceWithNoJs":null},"mdxExtracts":{"tableOfContents":[{"title":"What you get with Blackthorn","slug":"what-you-get-with-blackthorn","depth":2,"children":[]}],"codeExamples":{}},"jsLinks":[],"subdomain":"arcium","siteName":"Arcium Docs","title":"What is Blackthorn? - Arcium Docs","navMaps":{"firstHrefInVersion":{},"firstHrefInLanguage":{}},"lastModified":"2026-10-21T11:02:52.482Z","originalFileLocation":"blackthorn/what-it-is.mdx"},"headHtml":"\u003cscript data-mint-head>(function(){var d=document.documentElement,p=null;if(!p){try{p=localStorage.getItem(\"isDarkMode\")}catch(e){}if(p==='true')p='dark';else if(p==='false')p='light';if(p!=='light'\u0026\u0026p!=='dark'\u0026\u0026p!=='system')p=\"system\"}var r=p==='system'?(matchMedia(\"(prefers-color-scheme: dark)\").matches?'dark':'light'):p;d.classList.remove(r==='dark'?'light':'dark');d.classList.add(r);d.setAttribute(\"data-theme-preference\",p)})();\u003c/script>\u003cmeta data-mint-head name=\"description\" content=\"Arcium\u0026#x27;s architecture for confidential LLM inference.\">\u003cmeta data-mint-head name=\"application-name\" content=\"Arcium Docs\">\u003cmeta data-mint-head name=\"generator\" content=\"Mintlify\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"192x192\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/android-chrome-192x192.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"apple-touch-icon\" type=\"image/png\" sizes=\"180x180\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/apple-touch-icon.png\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"16x16\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/favicon-16x16.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/favicon-32x32.png\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"shortcut icon\" type=\"image/x-icon\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/favicon.ico\" media=\"(prefers-color-scheme: light)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"192x192\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon-dark/android-chrome-192x192.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"16x16\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon-dark/favicon-16x16.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"icon\" type=\"image/png\" sizes=\"32x32\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon-dark/favicon-32x32.png\" media=\"(prefers-color-scheme: dark)\">\u003clink data-mint-head rel=\"shortcut icon\" type=\"image/x-icon\" href=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon-dark/favicon.ico\" media=\"(prefers-color-scheme: dark)\">\u003cmeta data-mint-head property=\"og:title\" content=\"What is Blackthorn? - Arcium Docs\">\u003cmeta data-mint-head property=\"og:description\" content=\"Arcium\u0026#x27;s architecture for confidential LLM inference.\">\u003cmeta data-mint-head property=\"og:site_name\" content=\"Arcium Docs\">\u003cmeta data-mint-head property=\"og:url\" content=\"https://docs.arcium.com/blackthorn/what-it-is\">\u003cmeta data-mint-head property=\"og:type\" content=\"website\">\u003cmeta data-mint-head property=\"og:image\" content=\"https://arcium.mintlify.site/_mintlify/api/og/v2?division=INTRODUCTION\u0026amp;title=What+is+Blackthorn%3F\u0026amp;description=Arcium%27s+architecture+for+confidential+LLM+inference.\u0026amp;theme=9dea3d27c2eb8c975b396b1c\u0026amp;signature=1df84688d0726bd1b1c1aa4373f014804290961e697e59fe99ef979705047fe1\">\u003cmeta data-mint-head property=\"og:image:width\" content=\"1200\">\u003cmeta data-mint-head property=\"og:image:height\" content=\"630\">\u003cmeta data-mint-head name=\"twitter:card\" content=\"summary_large_image\">\u003cmeta data-mint-head name=\"twitter:title\" content=\"What is Blackthorn? - Arcium Docs\">\u003cmeta data-mint-head name=\"twitter:description\" content=\"Arcium\u0026#x27;s architecture for confidential LLM inference.\">\u003cmeta data-mint-head name=\"twitter:image\" content=\"https://arcium.mintlify.site/_mintlify/api/og/v2?division=INTRODUCTION\u0026amp;title=What+is+Blackthorn%3F\u0026amp;description=Arcium%27s+architecture+for+confidential+LLM+inference.\u0026amp;theme=9dea3d27c2eb8c975b396b1c\u0026amp;signature=1df84688d0726bd1b1c1aa4373f014804290961e697e59fe99ef979705047fe1\">\u003cmeta data-mint-head name=\"twitter:image:width\" content=\"1200\">\u003cmeta data-mint-head name=\"twitter:image:height\" content=\"630\">\u003cmeta data-mint-head name=\"msapplication-config\" content=\"/mintlify-assets/_mintlify/favicons/arcium/qRef_Qzh_lSKSTEX/_generated/favicon/browserconfig.xml\">\u003cmeta data-mint-head name=\"apple-mobile-web-app-title\" content=\"Arcium Docs\">\u003cmeta data-mint-head name=\"msapplication-TileColor\" content=\"#654490\">\u003clink data-mint-head rel=\"canonical\" href=\"https://docs.arcium.com/blackthorn/what-it-is\">\u003clink data-mint-head rel=\"alternate\" type=\"application/xml\" href=\"/sitemap.xml\">\u003clink data-mint-head rel=\"alternate\" type=\"text/markdown\" href=\"/blackthorn/what-it-is.md\">\u003cscript data-mint-head type=\"application/ld+json\">{\"@context\":\"https://schema.org\",\"@graph\":[{\"@type\":\"Organization\",\"@id\":\"https://docs.arcium.com/#organization\",\"name\":\"Arcium Docs\",\"url\":\"https://docs.arcium.com\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://mintcdn.com/arcium/9466H0KeSU-eNM9-/logo/ARCIUM_Primary-Icon_light.svg?fit=max\u0026auto=format\u0026n=9466H0KeSU-eNM9-\u0026q=85\u0026s=0728c3fe7f1e35b74b1b8905001d3f8e\"}},{\"@type\":\"WebSite\",\"@id\":\"https://docs.arcium.com#website\",\"name\":\"Arcium Docs\",\"url\":\"https://docs.arcium.com\",\"publisher\":{\"@id\":\"https://docs.arcium.com/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https://docs.arcium.com/blackthorn/what-it-is#webpage\",\"url\":\"https://docs.arcium.com/blackthorn/what-it-is\",\"name\":\"What is Blackthorn?\",\"description\":\"Arcium's architecture for confidential LLM inference.\",\"dateModified\":\"2026-10-21T11:02:52.482Z\",\"isPartOf\":{\"@id\":\"https://docs.arcium.com#website\"},\"breadcrumb\":{\"@id\":\"https://docs.arcium.com/blackthorn/what-it-is#breadcrumb\"}},{\"@type\":\"BreadcrumbList\",\"@id\":\"https://docs.arcium.com/blackthorn/what-it-is#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"INTRODUCTION\",\"item\":\"https://docs.arcium.com/blackthorn/index\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"What is Blackthorn?\",\"item\":\"https://docs.arcium.com/blackthorn/what-it-is\"}]},{\"@type\":[\"Article\",\"TechArticle\"],\"@id\":\"https://docs.arcium.com/blackthorn/what-it-is#article\",\"headline\":\"What is Blackthorn?\",\"name\":\"What is Blackthorn?\",\"description\":\"Arcium's architecture for confidential LLM inference.\",\"url\":\"https://docs.arcium.com/blackthorn/what-it-is\",\"mainEntityOfPage\":{\"@id\":\"https://docs.arcium.com/blackthorn/what-it-is#webpage\"},\"dateModified\":\"2026-10-21T11:02:52.482Z\",\"publisher\":{\"@id\":\"https://docs.arcium.com/#organization\"},\"isPartOf\":{\"@id\":\"https://docs.arcium.com#website\"}}]}\u003c/script>\u003cscript data-mint-head type=\"application/ld+json\">{\"@context\":\"https://schema.org\",\"@type\":\"WebSite\",\"name\":\"Arcium Docs\",\"creator\":{\"@type\":\"Organization\",\"name\":\"Mintlify\",\"url\":\"https://mintlify.com\"}}\u003c/script>","siteName":"Arcium Docs","nav":{"global":null,"tabs":[{"tab":"Documentation","icon":"book-open","pages":[{"title":"Documentation","href":""}]},{"tab":"Developers","icon":"square-terminal","pages":[{"title":"Developers","href":"/developers"}]},{"tab":"Blackthorn","icon":"shield-halved","groups":[{"group":"INTRODUCTION","pages":[{"title":"Blackthorn","sidebarTitle":"Overview","description":"Arcium’s architecture for confidential LLM inference on NVIDIA Confidential Computing GPUs, with no CPU TEE in the trust chain.","href":"/blackthorn"},{"title":"What is Blackthorn?","href":"/blackthorn/what-it-is"},{"title":"How it works","description":"Trust split across GPU Confidential Computing and Arcium's MPC network, with the host reduced to transport.","href":"/blackthorn/how-it-works"}]},{"group":"GETTING STARTED","pages":[{"title":"Quickstart","url":"https://www.arcium.com/blackthorn/portal","href":"/blackthorn/quickstart"},{"title":"Coding agents","href":"/blackthorn/coding-agents"}]}]}]},"basePath":"","title":"What is Blackthorn? - Arcium Docs","buildId":"dpl_42LwxxU1kGN114H4XzwGYXa9ZDah","deploymentId":"dpl_42LwxxU1kGN114H4XzwGYXa9ZDah","dynamics":[],"chunks":[]}