{"id":3948,"date":"2026-03-11T15:21:23","date_gmt":"2026-03-11T07:21:23","guid":{"rendered":"https:\/\/oretonstorage.com\/?p=3948"},"modified":"2026-03-11T15:21:23","modified_gmt":"2026-03-11T07:21:23","slug":"as-cargas-de-trabalho-de-ia-estao-mudando-os-requisitos-de-hardware-dos-pcs-dos-consumidores","status":"publish","type":"post","link":"https:\/\/oretonstorage.com\/pt\/blog\/as-cargas-de-trabalho-de-ia-estao-mudando-os-requisitos-de-hardware-dos-pcs-dos-consumidores","title":{"rendered":"As cargas de trabalho de IA est\u00e3o mudando os requisitos de hardware do PC do consumidor"},"content":{"rendered":"<p data-start=\"164\" data-end=\"508\">A intelig\u00eancia artificial n\u00e3o est\u00e1 mais limitada a data centers ou laborat\u00f3rios de pesquisa. Nos \u00faltimos anos, os aplicativos alimentados por IA tornaram-se rapidamente parte da computa\u00e7\u00e3o cotidiana. Da gera\u00e7\u00e3o de imagens e codifica\u00e7\u00e3o assistida por IA \u00e0 edi\u00e7\u00e3o de v\u00eddeo e ferramentas de produtividade, espera-se cada vez mais que os dispositivos de consumo lidem com cargas de trabalho de IA localmente.<\/p>\n<p data-start=\"510\" data-end=\"810\">Essa mudan\u00e7a est\u00e1 alterando fundamentalmente o que os usu\u00e1rios esperam de seus computadores pessoais. Os componentes de hardware que antes serviam principalmente para tarefas tradicionais de computa\u00e7\u00e3o - como CPUs, mem\u00f3ria, armazenamento e GPUs - agora s\u00e3o necess\u00e1rios para dar suporte \u00e0 infer\u00eancia de IA, \u00e0 execu\u00e7\u00e3o de modelos e ao processamento de dados de alto rendimento.<\/p>\n<p data-start=\"812\" data-end=\"948\">\u00c0 medida que as ferramentas de IA s\u00e3o integradas aos fluxos de trabalho di\u00e1rios, os requisitos para o hardware do PC do consumidor est\u00e3o evoluindo de v\u00e1rias maneiras importantes.<\/p>\n<hr data-start=\"950\" data-end=\"953\" \/>\n<h1 data-section-id=\"wdalcj\" data-start=\"955\" data-end=\"994\">A crescente demanda por PCs com capacidade de IA<\/h1>\n<p data-start=\"996\" data-end=\"1224\">As principais empresas de tecnologia j\u00e1 est\u00e3o se empenhando no conceito de <strong data-start=\"1069\" data-end=\"1081\">\"AI PC\".<\/strong> Esses sistemas s\u00e3o projetados especificamente para executar cargas de trabalho de IA localmente, geralmente combinando CPUs, GPUs e unidades de processamento neural (NPUs) dedicadas.<\/p>\n<p data-start=\"1226\" data-end=\"1435\">De acordo com relat\u00f3rios do setor, <strong data-start=\"1257\" data-end=\"1328\">Somente a Intel j\u00e1 forneceu quase 100 milh\u00f5es de processadores de PC com capacidade de IA<\/strong>muitos dos quais incluem NPUs integradas projetadas para acelera\u00e7\u00e3o de IA.<\/p>\n<p data-start=\"1437\" data-end=\"1536\">Ao mesmo tempo, os sistemas operacionais e as plataformas de software est\u00e3o integrando mais profundamente os recursos de IA:<\/p>\n<ul data-start=\"1538\" data-end=\"1692\">\n<li data-section-id=\"18svakr\" data-start=\"1538\" data-end=\"1576\">\n<p data-start=\"1540\" data-end=\"1576\">Assistentes de IA em sistemas operacionais<\/p>\n<\/li>\n<li data-section-id=\"1uspr2q\" data-start=\"1577\" data-end=\"1615\">\n<p data-start=\"1579\" data-end=\"1615\">Edi\u00e7\u00e3o de imagens e v\u00eddeos com tecnologia de IA<\/p>\n<\/li>\n<li data-section-id=\"rey25j\" data-start=\"1616\" data-end=\"1647\">\n<p data-start=\"1618\" data-end=\"1647\">Ferramentas de produtividade baseadas em IA<\/p>\n<\/li>\n<li data-section-id=\"1dnc7bm\" data-start=\"1648\" data-end=\"1692\">\n<p data-start=\"1650\" data-end=\"1692\">infer\u00eancia local de modelo de linguagem grande (LLM)<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"1694\" data-end=\"1835\">Como resultado, os PCs modernos devem suportar cada vez mais cargas de trabalho que envolvem <strong data-start=\"1767\" data-end=\"1834\">grandes conjuntos de dados, computa\u00e7\u00e3o paralela e alta largura de banda de mem\u00f3ria<\/strong>.<\/p>\n<p data-start=\"1837\" data-end=\"1963\">Essa tend\u00eancia est\u00e1 levando os requisitos de hardware muito al\u00e9m das necessidades tradicionais de navega\u00e7\u00e3o na Web, trabalho de escrit\u00f3rio ou reprodu\u00e7\u00e3o de m\u00eddia.<\/p>\n<hr data-start=\"1965\" data-end=\"1968\" \/>\n<h1 data-section-id=\"1xvdjt3\" data-start=\"1970\" data-end=\"2014\">Os requisitos de mem\u00f3ria est\u00e3o aumentando rapidamente<\/h1>\n<p data-start=\"2016\" data-end=\"2125\">Uma das mudan\u00e7as de hardware mais imediatas impulsionadas pelas cargas de trabalho de IA \u00e9 a crescente demanda por mem\u00f3ria do sistema.<\/p>\n<p data-start=\"2127\" data-end=\"2291\">Os modelos de IA - especialmente os modelos de linguagem grandes e as ferramentas de IA generativas - geralmente exigem grandes quantidades de mem\u00f3ria para armazenar par\u00e2metros e dados intermedi\u00e1rios durante a infer\u00eancia.<\/p>\n<p data-start=\"2293\" data-end=\"2321\">As diretrizes do setor sugerem:<\/p>\n<ul data-start=\"2323\" data-end=\"2566\">\n<li data-section-id=\"l8jeku\" data-start=\"2323\" data-end=\"2383\">\n<p data-start=\"2325\" data-end=\"2383\"><strong data-start=\"2325\" data-end=\"2337\">16 GB DE RAM<\/strong> como um m\u00ednimo para cargas de trabalho b\u00e1sicas relacionadas \u00e0 IA<\/p>\n<\/li>\n<li data-section-id=\"2rfeqo\" data-start=\"2384\" data-end=\"2452\">\n<p data-start=\"2386\" data-end=\"2452\"><strong data-start=\"2386\" data-end=\"2398\">32 GB DE RAM<\/strong> para profissionais criativos que usam ferramentas de IA regularmente<\/p>\n<\/li>\n<li data-section-id=\"1nak4wk\" data-start=\"2453\" data-end=\"2566\">\n<p data-start=\"2455\" data-end=\"2566\"><strong data-start=\"2455\" data-end=\"2471\">64 GB ou mais<\/strong> para cargas de trabalho de IA mais intensivas ou execu\u00e7\u00e3o de modelos locais<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2568\" data-end=\"2775\">O motivo \u00e9 simples: As cargas de trabalho de IA frequentemente processam grandes matrizes e conjuntos de dados simultaneamente. Uma mem\u00f3ria insuficiente pode levar a uma troca constante entre RAM e armazenamento, reduzindo drasticamente o desempenho.<\/p>\n<p data-start=\"2777\" data-end=\"3077\">A crescente demanda por mem\u00f3ria j\u00e1 \u00e9 vis\u00edvel na cadeia de suprimentos global de semicondutores. Os analistas informam que <strong data-start=\"2888\" data-end=\"2970\">Os data centers de IA podem consumir at\u00e9 70% da produ\u00e7\u00e3o global de chips de mem\u00f3ria em 2026<\/strong>afetando significativamente a disponibilidade para os mercados de hardware de consumo.<\/p>\n<p data-start=\"3079\" data-end=\"3355\">Em alguns casos, os pre\u00e7os da mem\u00f3ria aumentaram drasticamente. Os relat\u00f3rios mostram que determinados m\u00f3dulos de mem\u00f3ria sofreram <strong data-start=\"3195\" data-end=\"3240\">aumentos de pre\u00e7os de mais de 90% em alguns meses<\/strong>A mem\u00f3ria de alta largura de banda (HBM), usada em servidores de IA, \u00e9 priorizada pelos fabricantes.<\/p>\n<p data-start=\"3357\" data-end=\"3476\">Isso ilustra como a demanda de IA est\u00e1 remodelando todo o ecossistema de mem\u00f3ria, desde a infraestrutura corporativa at\u00e9 os PCs de consumo.<\/p>\n<hr data-start=\"3478\" data-end=\"3481\" \/>\n<h1 data-section-id=\"nmc0vx\" data-start=\"3483\" data-end=\"3535\">As GPUs est\u00e3o se tornando essenciais para as cargas de trabalho de IA do consumidor<\/h1>\n<p data-start=\"3537\" data-end=\"3703\">Embora as CPUs continuem sendo essenciais para tarefas gerais de computa\u00e7\u00e3o, as cargas de trabalho de IA dependem muito de <strong data-start=\"3622\" data-end=\"3645\">processamento paralelo<\/strong>tornando as GPUs cada vez mais importantes para os sistemas de consumo.<\/p>\n<p data-start=\"3705\" data-end=\"3909\">As GPUs modernas incluem unidades de hardware especializadas projetadas para tarefas de aprendizado de m\u00e1quina, como n\u00facleos de tensor ou aceleradores de IA. Essas unidades aceleram significativamente as opera\u00e7\u00f5es de matriz usadas em redes neurais.<\/p>\n<p data-start=\"3911\" data-end=\"4119\">Para o desenvolvimento de IA e cargas de trabalho generativas avan\u00e7adas, as GPUs com <strong data-start=\"3975\" data-end=\"3999\">24 GB ou mais de VRAM<\/strong> s\u00e3o frequentemente recomendados para evitar gargalos de desempenho ao carregar modelos grandes.<\/p>\n<p data-start=\"4121\" data-end=\"4407\">A import\u00e2ncia da mem\u00f3ria da GPU \u00e9 particularmente evidente ao executar modelos de linguagem locais grandes. Se o modelo n\u00e3o couber totalmente na VRAM, o sistema dever\u00e1 descarregar os dados na mem\u00f3ria do sistema ou no armazenamento, o que pode tornar o processamento mais lento em <strong data-start=\"4353\" data-end=\"4368\">10-50 vezes<\/strong>.<\/p>\n<p data-start=\"4409\" data-end=\"4555\">Essa crescente depend\u00eancia da acelera\u00e7\u00e3o da GPU \u00e9 um dos motivos pelos quais a demanda de IA est\u00e1 influenciando o pre\u00e7o e a disponibilidade do hardware gr\u00e1fico em todo o mundo.<\/p>\n<hr data-start=\"4557\" data-end=\"4560\" \/>\n<h1 data-section-id=\"11vay19\" data-start=\"4562\" data-end=\"4606\">O desempenho do armazenamento \u00e9 mais importante do que nunca<\/h1>\n<p data-start=\"4608\" data-end=\"4773\">Os aplicativos de IA tamb\u00e9m geram e processam grandes quantidades de dados. Conjuntos de dados de treinamento, pontos de verifica\u00e7\u00e3o de modelos e conte\u00fado gerado exigem armazenamento r\u00e1pido e confi\u00e1vel.<\/p>\n<p data-start=\"4775\" data-end=\"4855\">Como resultado, os SSDs NVMe de alta velocidade se tornaram essenciais para os fluxos de trabalho modernos de IA.<\/p>\n<p data-start=\"4857\" data-end=\"4900\">As recomenda\u00e7\u00f5es do setor normalmente incluem:<\/p>\n<ul data-start=\"4902\" data-end=\"5091\">\n<li data-section-id=\"1useaxf\" data-start=\"4902\" data-end=\"4954\">\n<p data-start=\"4904\" data-end=\"4954\"><strong data-start=\"4904\" data-end=\"4922\">SSDs PCIe NVMe<\/strong> como a m\u00eddia de armazenamento principal<\/p>\n<\/li>\n<li data-section-id=\"1219l6h\" data-start=\"4955\" data-end=\"4985\">\n<p data-start=\"4957\" data-end=\"4985\">m\u00ednimo <strong data-start=\"4965\" data-end=\"4983\">Capacidade de 512 GB<\/strong><\/p>\n<\/li>\n<li data-section-id=\"pfx016\" data-start=\"4986\" data-end=\"5091\">\n<p data-start=\"4988\" data-end=\"5091\"><strong data-start=\"4988\" data-end=\"5015\">Recomenda-se 1 TB ou mais<\/strong> para projetos que envolvem grandes conjuntos de dados<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"5093\" data-end=\"5278\">A velocidade de armazenamento afeta diretamente a rapidez com que os conjuntos de dados podem ser carregados, processados e salvos. O armazenamento lento pode criar gargalos que reduzem significativamente a efici\u00eancia do sistema durante as tarefas de IA.<\/p>\n<p data-start=\"5280\" data-end=\"5610\">Al\u00e9m disso, a demanda impulsionada pela IA por flash NAND e infraestrutura de armazenamento est\u00e1 influenciando o mercado mais amplo. \u00c0 medida que os data centers dimensionam a infraestrutura de IA, os fabricantes priorizam cada vez mais as solu\u00e7\u00f5es de armazenamento corporativo de alto desempenho, o que pode afetar a oferta e os pre\u00e7os no mercado consumidor.<\/p>\n<hr data-start=\"5612\" data-end=\"5615\" \/>\n<h1 data-section-id=\"txwa6k\" data-start=\"5617\" data-end=\"5656\">O surgimento de aceleradores de IA dedicados<\/h1>\n<p data-start=\"5658\" data-end=\"5771\">Outra tend\u00eancia importante de hardware \u00e9 a integra\u00e7\u00e3o de <strong data-start=\"5713\" data-end=\"5742\">aceleradores de IA dedicados<\/strong> em CPUs e SoCs para consumidores.<\/p>\n<p data-start=\"5773\" data-end=\"5969\">Esses aceleradores, muitas vezes chamados de NPUs, s\u00e3o otimizados especificamente para a infer\u00eancia de redes neurais. Em compara\u00e7\u00e3o com as GPUs ou CPUs, eles podem executar modelos de IA com consumo de energia significativamente menor.<\/p>\n<p data-start=\"5971\" data-end=\"6110\">Os novos processadores de PC da Intel, AMD e Qualcomm incluem cada vez mais esses blocos de hardware espec\u00edficos de IA, permitindo recursos locais de IA, como:<\/p>\n<ul data-start=\"6112\" data-end=\"6230\">\n<li data-section-id=\"18jtko5\" data-start=\"6112\" data-end=\"6144\">\n<p data-start=\"6114\" data-end=\"6144\">reconhecimento de fala em tempo real<\/p>\n<\/li>\n<li data-section-id=\"18wknav\" data-start=\"6145\" data-end=\"6166\">\n<p data-start=\"6147\" data-end=\"6166\">aprimoramento de imagem<\/p>\n<\/li>\n<li data-section-id=\"nx4kb3\" data-start=\"6167\" data-end=\"6204\">\n<p data-start=\"6169\" data-end=\"6204\">remo\u00e7\u00e3o de plano de fundo em chamadas com v\u00eddeo<\/p>\n<\/li>\n<li data-section-id=\"gixi37\" data-start=\"6205\" data-end=\"6230\">\n<p data-start=\"6207\" data-end=\"6230\">assistentes de IA no dispositivo<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"6232\" data-end=\"6370\">Essa mudan\u00e7a reflete uma expectativa mais ampla do setor de que <strong data-start=\"6288\" data-end=\"6369\">A funcionalidade de IA se tornar\u00e1 um recurso padr\u00e3o dos dispositivos de computa\u00e7\u00e3o do consumidor<\/strong>.<\/p>\n<hr data-start=\"6372\" data-end=\"6375\" \/>\n<h1 data-section-id=\"g7ncmb\" data-start=\"6377\" data-end=\"6424\">A IA est\u00e1 remodelando todo o ecossistema de hardware<\/h1>\n<p data-start=\"6426\" data-end=\"6497\">A influ\u00eancia das cargas de trabalho de IA vai muito al\u00e9m dos componentes individuais.<\/p>\n<p data-start=\"6499\" data-end=\"6795\">A pesquisa sugere que o crescimento da infraestrutura de IA poderia aumentar significativamente o consumo global de energia do data center, potencialmente aumentando de <strong data-start=\"6639\" data-end=\"6690\">cerca de 415 TWh em 2024 para quase 945 TWh em 2030<\/strong>com as cargas de trabalho de IA respons\u00e1veis por uma grande parte desse aumento.<\/p>\n<p data-start=\"6797\" data-end=\"6957\">Ao mesmo tempo, os fabricantes de semicondutores est\u00e3o realocando a capacidade de produ\u00e7\u00e3o para produtos focados em IA, como mem\u00f3ria de alta largura de banda e aceleradores de IA.<\/p>\n<p data-start=\"6959\" data-end=\"7023\">Essa mudan\u00e7a tem efeitos em cascata em todo o mercado de hardware:<\/p>\n<ul data-start=\"7025\" data-end=\"7141\">\n<li data-section-id=\"1fossh8\" data-start=\"7025\" data-end=\"7054\">\n<p data-start=\"7027\" data-end=\"7054\">restri\u00e7\u00f5es de fornecimento de mem\u00f3ria<\/p>\n<\/li>\n<li data-section-id=\"s38pid\" data-start=\"7055\" data-end=\"7076\">\n<p data-start=\"7057\" data-end=\"7076\">Aumento da demanda por GPUs<\/p>\n<\/li>\n<li data-section-id=\"cemz7g\" data-start=\"7077\" data-end=\"7112\">\n<p data-start=\"7079\" data-end=\"7112\">aumento dos requisitos de armazenamento<\/p>\n<\/li>\n<li data-section-id=\"1sdyq26\" data-start=\"7113\" data-end=\"7141\">\n<p data-start=\"7115\" data-end=\"7141\">arquiteturas de CPU em evolu\u00e7\u00e3o<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"7143\" data-end=\"7324\">Para os consumidores e os criadores de sistemas, isso significa que os requisitos de hardware n\u00e3o s\u00e3o mais orientados apenas por aplicativos de jogos ou de produtividade - as cargas de trabalho de IA est\u00e3o se tornando um fator importante.<\/p>\n<hr data-start=\"7326\" data-end=\"7329\" \/>\n<h1 data-section-id=\"1pov1vr\" data-start=\"7331\" data-end=\"7393\">A estabilidade e a compatibilidade s\u00e3o mais importantes do que o desempenho bruto<\/h1>\n<p data-start=\"7395\" data-end=\"7520\">\u00c0 medida que as cargas de trabalho de IA se tornam mais comuns na computa\u00e7\u00e3o cotidiana, a estabilidade do sistema est\u00e1 se tornando t\u00e3o importante quanto o desempenho m\u00e1ximo.<\/p>\n<p data-start=\"7522\" data-end=\"7739\">A execu\u00e7\u00e3o de aplicativos de IA geralmente envolve cargas de processamento sustentadas, grandes conjuntos de dados e longos tempos de execu\u00e7\u00e3o. Essas cargas de trabalho causam um estresse significativo nos componentes do sistema, incluindo m\u00f3dulos de mem\u00f3ria e dispositivos de armazenamento.<\/p>\n<p data-start=\"7741\" data-end=\"7918\">Para integradores de sistemas, parceiros OEM e fabricantes de hardware, garantir <strong data-start=\"7816\" data-end=\"7894\">compatibilidade de componentes, desempenho consistente e confiabilidade de longo prazo<\/strong> \u00e9, portanto, essencial.<\/p>\n<hr data-start=\"7920\" data-end=\"7923\" \/>\n<h1 data-section-id=\"zyrr6w\" data-start=\"7925\" data-end=\"7984\">Oreton: Suporte a hardware confi\u00e1vel para cargas de trabalho modernas<\/h1>\n<p><a href=\"https:\/\/oretonstorage.com\/pt\/solucoes-de-armazenamento-oem\/\"><img decoding=\"async\" class=\"wp-image-3778 alignright\" style=\"color: #555555;font-size: 14.4px\" src=\"https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner.webp\" alt=\"\" width=\"755\" height=\"425\" srcset=\"https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner.webp 1000w, https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner-300x169.webp 300w, https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner-768x432.webp 768w, https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner-18x10.webp 18w, https:\/\/oretonstorage.com\/wp-content\/uploads\/2026\/01\/oretonstorage_phone_banner-800x450.webp 800w\" sizes=\"(max-width: 755px) 100vw, 755px\" \/><\/a><\/p>\n<p data-start=\"7986\" data-end=\"8081\">Em <strong data-start=\"7989\" data-end=\"7999\">Oreton<\/strong>Acreditamos que o hardware confi\u00e1vel \u00e9 a base dos sistemas de computa\u00e7\u00e3o modernos.<\/p>\n<p data-start=\"8083\" data-end=\"8351\">\u00c0 medida que os aplicativos de IA continuam a se expandir em ambientes profissionais e de consumo, o desempenho est\u00e1vel do sistema se torna cada vez mais importante. Nossas solu\u00e7\u00f5es de armazenamento e mem\u00f3ria s\u00e3o projetadas para oferecer suporte \u00e0 opera\u00e7\u00e3o consistente em uma ampla variedade de plataformas e cargas de trabalho.<\/p>\n<p data-start=\"8353\" data-end=\"8601\">Por meio de uma cuidadosa sele\u00e7\u00e3o de componentes, processos de produ\u00e7\u00e3o controlados e v\u00e1rios est\u00e1gios de valida\u00e7\u00e3o antes do envio, a Oreton se concentra em fornecer solu\u00e7\u00f5es de hardware que enfatizam <strong data-start=\"8534\" data-end=\"8600\">estabilidade, compatibilidade e desempenho confi\u00e1vel a longo prazo<\/strong>.<\/p>\n<p data-start=\"8603\" data-end=\"8737\">\u00c0 medida que a IA remodela o futuro da computa\u00e7\u00e3o, a infraestrutura confi\u00e1vel de mem\u00f3ria e armazenamento continuar\u00e1 sendo uma parte essencial dessa transforma\u00e7\u00e3o.<\/p>","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence is no longer limited to data centers or research laboratories. Over the past few years, AI-powered applications have rapidly become part of everyday computing. From image generation and AI-assisted coding to video editing and productivity tools, consumer devices are increasingly expected to handle AI workloads locally. This shift is fundamentally changing what users&#8230;<\/p>","protected":false},"author":3,"featured_media":3950,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3948","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Workloads Are Changing Consumer PC Hardware Requirements -<\/title>\n<meta name=\"description\" content=\"AI workloads are transforming consumer PC hardware requirements. Learn how memory, storage, and GPUs are evolving to support modern AI applications and local AI computing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/oretonstorage.com\/pt\/blog\/as-cargas-de-trabalho-de-ia-estao-mudando-os-requisitos-de-hardware-dos-pcs-dos-consumidores\" \/>\n<meta property=\"og:locale\" content=\"pt_BR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Workloads Are Changing Consumer PC Hardware Requirements -\" \/>\n<meta property=\"og:description\" content=\"AI workloads are transforming consumer PC hardware requirements. 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