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0h48v48H0z"></path></clipPath></defs></svg></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-black text-white md:pt-13! pt-6! sm:pt-10!" id="serverless"><div data-slot="section-container" class="container h-full"><div class="flex flex-col items-start justify-between"><div class="flex w-full flex-col justify-between gap-8 sm:flex-row sm:gap-0"><div class="flex items-start justify-between"><div class="flex flex-col"><div data-slot="section-header" class="flex flex-col gap-6 max-w-186"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px]"><span class="text-muted-foreground">Start serverless<!-- -->.</span><br/><span class="text-white">Scale for success</span></h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6">Run AI models instantly with serverless inference, then scale seamlessly into dedicated GPU infrastructure as your 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fill="currentColor" d="m9.25 3.849.9.9.9-.9-.9-.9zM8.348 4.749l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m7.451 5.649.9.9.9-.9-.9-.9zM6.549 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m5.652 7.449.9.9.9-.9-.9-.9zM4.75 8.348l.9.9.9-.9-.9-.9zM3.85 9.249l.9.9.9-.9-.9-.9zM2.947 10.149l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m2.05 11.049.9.9.901-.9-.9-.9zM10.15 4.749l.9.9.9-.9-.9-.9zM10.15 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m10.15 8.348.9.9.9-.9-.9-.9zM10.15 10.149l.9.9.9-.9-.9-.9z"></path></svg></a></div><div class="border-border-dark mt-16 hidden w-full border lg:flex" style="height:534px"><div class="border-border-dark w-136 flex shrink-0 flex-col border-r"><div class="border-border-dark flex flex-1 cursor-pointer items-center gap-6 border-b px-8 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M21.334 8v18.667h-2.667V8zM18.666 5.333V8H5.333V5.333z"></path><path fill="currentColor" d="M13.334 21.333v-2.667h13.333v2.667zM16 24v-2.667h2.667V24zM21.334 24v-2.667h2.667V24z"></path><path fill="currentColor" d="M24 21.333v-2.667h2.667v2.667z"></path></svg><p class="text-xl font-medium leading-6 transition-colors duration-200 text-white">Automatic scaling to zero with no idle cost</p></div><div class="border-border-dark flex flex-1 cursor-pointer items-center gap-6 border-b px-8 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M2.666 8h2.667v5.333H2.666zM2.666 13.333h2.667v5.333H2.666zM2.666 18.667h2.667V24H2.666zM26.666 8h2.667v5.333h-2.667zM26.666 13.333h2.667v5.333h-2.667zM26.666 18.667h2.667V24h-2.667zM5.334 5.333h5.333V8H5.334zM5.334 16h5.333v-2.667H5.334zM5.334 21.333h5.333v-2.667H5.334zM5.334 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14.667h2.667v2.667H2.666zM29.334 14.667h-2.667v2.667h2.667z"></path></svg><p class="text-xl font-medium leading-6 transition-colors duration-200 text-white">Production-ready APIs for LLM and multimodal models</p></div><div class="border-border-dark flex flex-1 cursor-pointer items-center gap-6 border-b px-8 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M5.334 2.667h21.333v2.667H5.334zM2.666 5.333h2.667v13.333H2.666z"></path><path fill="currentColor" d="M26.666 5.333h2.667v13.333h-2.667zM5.332 18.667h2.667v2.667H5.332zM8 21.334h2.667v2.667H8zM13.334 26.667h5.333v2.667h-5.333zM26.666 18.667h-2.667v2.667h2.667z"></path><path fill="currentColor" d="M24 21.334h-2.667V24H24zM21.332 24h-2.667v2.667h2.667zM13.334 24h-2.667v2.667h2.667z"></path></svg><p class="text-xl font-medium leading-6 transition-colors duration-200 text-white">Multi-tenant isolation for predictable performance</p></div></div><div class="relative min-w-0 flex-1 overflow-hidden bg-black"><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$--></div></div><div class="border-border-dark mt-8 w-full border lg:hidden"><div class="border-border-dark flex cursor-pointer items-center gap-6 border-b px-6 py-6 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M21.334 8v18.667h-2.667V8zM18.666 5.333V8H5.333V5.333z"></path><path fill="currentColor" d="M13.334 21.333v-2.667h13.333v2.667zM16 24v-2.667h2.667V24zM21.334 24v-2.667h2.667V24z"></path><path fill="currentColor" d="M24 21.333v-2.667h2.667v2.667z"></path></svg><p class="text-lg font-medium leading-6 transition-colors duration-200 text-white">Automatic scaling to zero with no idle cost</p></div><div class="border-border-dark flex cursor-pointer items-center gap-6 border-b px-6 py-6 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M2.666 8h2.667v5.333H2.666zM2.666 13.333h2.667v5.333H2.666zM2.666 18.667h2.667V24H2.666zM26.666 8h2.667v5.333h-2.667zM26.666 13.333h2.667v5.333h-2.667zM26.666 18.667h2.667V24h-2.667zM5.334 5.333h5.333V8H5.334zM5.334 16h5.333v-2.667H5.334zM5.334 21.333h5.333v-2.667H5.334zM5.334 26.667h5.333V24H5.334zM21.334 5.333h5.333V8h-5.333z"></path><path fill="currentColor" d="M21.334 16h5.333v-2.667h-5.333zM21.334 21.333h5.333v-2.667h-5.333zM21.334 26.667h5.333V24h-5.333zM10.666 2.667h10.667v2.667H10.666zM10.666 18.667h10.667V16H10.666zM10.666 24h10.667v-2.667H10.666zM10.666 29.333h10.667v-2.667H10.666z"></path></svg><p class="text-lg font-medium leading-6 transition-colors duration-200 text-white">Built-in batching and latency-aware scheduling</p></div><div class="border-border-dark flex cursor-pointer items-center gap-6 border-b px-6 py-6 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M8 5.333h5.333V8H8zM24 5.333h-5.333V8H24zM8 26.667h5.333V24H8zM24 26.666h-5.333V24H24zM5.334 8h2.667v6.667H5.334zM26.666 8h-2.667v6.667h2.667zM5.334 24h2.667v-6.667H5.334zM26.666 24h-2.667v-6.667h2.667zM2.666 14.667h2.667v2.667H2.666zM29.334 14.667h-2.667v2.667h2.667z"></path></svg><p class="text-lg font-medium leading-6 transition-colors duration-200 text-white">Production-ready APIs for LLM and multimodal models</p></div><div class="border-border-dark flex cursor-pointer items-center gap-6 border-b px-6 py-6 transition-colors duration-200 last:border-b-0 bg-transparent"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="size-8 shrink-0 text-lime"><path fill="currentColor" d="M5.334 2.667h21.333v2.667H5.334zM2.666 5.333h2.667v13.333H2.666z"></path><path fill="currentColor" d="M26.666 5.333h2.667v13.333h-2.667zM5.332 18.667h2.667v2.667H5.332zM8 21.334h2.667v2.667H8zM13.334 26.667h5.333v2.667h-5.333zM26.666 18.667h-2.667v2.667h2.667z"></path><path fill="currentColor" d="M24 21.334h-2.667V24H24zM21.332 24h-2.667v2.667h2.667zM13.334 24h-2.667v2.667h2.667z"></path></svg><p class="text-lg font-medium leading-6 transition-colors duration-200 text-white">Multi-tenant isolation for predictable performance</p></div><div class="sm:h-105 relative h-80 w-full overflow-hidden bg-black"><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$--></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 text-foreground bg-white relative flex flex-col" id="gpu-cluster"><div data-slot="section-container" class="container h-full"><img alt="" loading="lazy" decoding="async" data-nimg="fill" class="object-cover opacity-50 mix-blend-multiply" style="position:absolute;height:100%;width:100%;left:0;top:0;right:0;bottom:0;color:transparent" src="/_next/static/media/gpu-cluster-background.09xjahkafh5t6.webp"/><div class="mb-12 flex flex-col gap-16"><div class="z-1 flex flex-col justify-between gap-12 lg:flex-row lg:gap-0"><div data-slot="section-header" class="flex flex-col gap-6"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px] hidden flex-col lg:flex"><span>When serverless isn&#x27;t enough, Take Control.</span></h2><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px] flex flex-col lg:hidden"><span>When serverless isn&#x27;t enough, Take Control.</span></h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6">Built on NVIDIA Reference Platform Cloud Architecture and validated designs for performance, reliability, and scale.</p></div><a data-slot="button" class="focus-visible:ring-ring inline-flex shrink-0 cursor-pointer items-center justify-center whitespace-nowrap font-mono font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 disabled:pointer-events-none disabled:opacity-50 [&amp;_svg]:pointer-events-none [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 bg-secondary text-secondary-foreground hover:text-lime h-8 px-3 text-xs sm:h-10 sm:px-4 sm:text-sm group gap-2 self-start uppercase lg:self-end" href="/en/gpus">Explore GPU Infrastructure<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 14 14" class="size-4 transition-transform duration-200 group-hover:rotate-45"><path fill="currentColor" d="m2.947 2.95.9.9.9-.9-.9-.9zM4.75 2.95l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m6.549 2.95.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m8.348 2.95.9.9.9-.9-.9-.9zM10.15 2.95l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m9.25 3.849.9.9.9-.9-.9-.9zM8.348 4.749l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m7.451 5.649.9.9.9-.9-.9-.9zM6.549 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m5.652 7.449.9.9.9-.9-.9-.9zM4.75 8.348l.9.9.9-.9-.9-.9zM3.85 9.249l.9.9.9-.9-.9-.9zM2.947 10.149l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m2.05 11.049.9.9.901-.9-.9-.9zM10.15 4.749l.9.9.9-.9-.9-.9zM10.15 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m10.15 8.348.9.9.9-.9-.9-.9zM10.15 10.149l.9.9.9-.9-.9-.9z"></path></svg></a></div><div class="border-border-dark divide-border-dark z-1 flex flex-col divide-y border lg:flex-row lg:divide-x lg:divide-y-0"><div class="flex flex-1 flex-col bg-white"><div class="m-6 mb-4 flex flex-1 flex-col gap-6 sm:m-8"><p class="text-center font-mono text-base font-medium leading-6 sm:font-sans sm:text-xl lg:text-start">Dedicated bare metal GPUs with predictable performance.</p><div class="sm:h-70 relative h-60 min-w-0"><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$--></div></div></div><div class="flex flex-1 flex-col bg-white"><div class="m-6 mb-4 flex flex-1 flex-col gap-6 sm:m-8"><p class="text-center font-mono text-base font-medium leading-6 sm:font-sans sm:text-xl lg:text-start">Our Cluster engine orchestrates multi-node cluster at the infrastructure layer.</p><div class="sm:h-70 relative h-60 min-w-0"><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$--></div></div></div><div class="flex flex-1 flex-col bg-white"><div class="m-6 mb-4 flex flex-1 flex-col gap-6 sm:m-8"><p class="text-center font-mono text-base font-medium leading-6 sm:font-sans sm:text-xl lg:text-start">Root access and custom stacks when infrastructure matters.</p><div class="sm:h-70 relative h-60 min-w-0"><!--$!--><template data-dgst="BAILOUT_TO_CLIENT_SIDE_RENDERING"></template><!--/$--></div></div></div></div></div><div class="flex flex-col gap-12"><div class="z-1 flex flex-col justify-between gap-6 lg:flex-row lg:items-center lg:gap-0"><div data-slot="section-header" class="flex flex-col gap-6"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px]">GPU Pricing</h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6">Transparent GPU pricing for production AI workloads across NVIDIA H100, H200, and Blackwell platforms.</p></div><a data-slot="button" class="focus-visible:ring-ring inline-flex shrink-0 cursor-pointer items-center justify-center whitespace-nowrap font-mono font-medium transition-colors focus-visible:outline-none focus-visible:ring-1 disabled:pointer-events-none disabled:opacity-50 [&amp;_svg]:pointer-events-none [&amp;_svg]:size-4 [&amp;_svg]:shrink-0 bg-secondary text-secondary-foreground hover:text-lime h-8 px-3 text-xs sm:h-10 sm:px-4 sm:text-sm group gap-2 self-start uppercase" href="/en/pricing">View GPU Pricing<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 14 14" class="size-4 transition-transform duration-200 group-hover:rotate-45"><path fill="currentColor" d="m2.947 2.95.9.9.9-.9-.9-.9zM4.75 2.95l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m6.549 2.95.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m8.348 2.95.9.9.9-.9-.9-.9zM10.15 2.95l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m9.25 3.849.9.9.9-.9-.9-.9zM8.348 4.749l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m7.451 5.649.9.9.9-.9-.9-.9zM6.549 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m5.652 7.449.9.9.9-.9-.9-.9zM4.75 8.348l.9.9.9-.9-.9-.9zM3.85 9.249l.9.9.9-.9-.9-.9zM2.947 10.149l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m2.05 11.049.9.9.901-.9-.9-.9zM10.15 4.749l.9.9.9-.9-.9-.9zM10.15 6.549l.9.9.9-.9-.9-.9z"></path><path fill="currentColor" d="m10.15 8.348.9.9.9-.9-.9-.9zM10.15 10.149l.9.9.9-.9-.9-.9z"></path></svg></a></div><div class="border-border-dark divide-border-dark z-1 flex flex-col divide-y border lg:flex-row lg:divide-x lg:divide-y-0"><div class="flex flex-1 flex-col bg-white"><div class="flex flex-1 flex-col gap-8 px-6 pt-8 sm:gap-12 sm:px-8 sm:pt-14"><div class="flex flex-col gap-6 font-medium"><h3 class="text-2xl sm:text-4xl">NVIDIA H100</h3><div class="flex items-baseline gap-2"><span class="font-mono text-lg sm:text-2xl">$2.00</span><span class="font-mono text-[10px] sm:text-xs">/GPU-hour</span></div></div><p class="leading-4.5 flex-1 font-mono text-xs sm:text-sm">Ideal for inference and training jobs needing high memory bandwidth and larger model footprints.</p></div><div class="border-border-dark lg:mt-22 mx-6 mb-2 mt-10 flex border-t py-4 sm:mx-8 sm:mb-4 sm:mt-12"><span class="font-mono text-[10px] uppercase tracking-wider sm:text-xs">AVAILABLE NOW</span></div></div><div class="flex flex-1 flex-col bg-white"><div class="flex flex-1 flex-col gap-8 px-6 pt-8 sm:gap-12 sm:px-8 sm:pt-14"><div class="flex flex-col gap-6 font-medium"><h3 class="text-2xl sm:text-4xl">NVIDIA H200</h3><div class="flex items-baseline gap-2"><span class="font-mono text-lg sm:text-2xl">$2.60</span><span class="font-mono text-[10px] sm:text-xs">/GPU-hour</span></div></div><p class="leading-4.5 flex-1 font-mono text-xs sm:text-sm">Optimized for training and inference at scale with strong performance, availability, and ecosystem support.</p></div><div class="border-border-dark lg:mt-22 mx-6 mb-2 mt-10 flex border-t py-4 sm:mx-8 sm:mb-4 sm:mt-12"><span class="font-mono text-[10px] uppercase tracking-wider sm:text-xs">AVAILABLE NOW</span></div></div><div class="flex flex-1 flex-col bg-white"><div class="flex flex-1 flex-col gap-8 px-6 pt-8 sm:gap-12 sm:px-8 sm:pt-14"><div class="flex flex-col gap-6 font-medium"><h3 class="text-2xl sm:text-4xl">NVIDIA Blackwell</h3><div class="flex items-baseline gap-2"><span class="font-mono text-lg sm:text-2xl">Pre-order</span></div></div><p class="leading-4.5 flex-1 font-mono text-xs sm:text-sm">Best for teams planning large-scale deployments that require maximum performance headroom.</p></div><div class="border-border-dark lg:mt-22 mx-6 mb-2 mt-10 flex border-t py-4 sm:mx-8 sm:mb-4 sm:mt-12"><span class="font-mono text-[10px] uppercase tracking-wider sm:text-xs">coming soon</span></div></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-black text-white" id="production-ai"><div data-slot="section-container" class="container h-full"><div class="lg:gap-42 flex flex-col gap-8 sm:gap-16 lg:flex-row"><div class="lg:flex-3 flex flex-col gap-6 lg:justify-between"><div data-slot="section-header" class="flex flex-col gap-6"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px] text-white">Production AI Runs Better on GMI Cloud</h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6 text-white">Real performance gains across production AI workloads.</p></div><div class="h-70 sm:h-100 relative"><div class="absolute inset-0"></div></div></div><div class="flex-2 flex flex-col gap-14"><div class="grid grid-cols-2 gap-x-6 sm:gap-x-12 lg:grid-cols-1 lg:gap-x-0"><div class="flex flex-col gap-4 border-b border-[#404040] py-6"><p class="sm:leading-12 text-[32px] font-medium leading-8 text-white sm:text-[48px]">3.7x</p><p class="leading-4.5 font-mono text-sm font-medium text-white opacity-80 sm:font-sans sm:text-xl">Higher throughput</p></div><div class="flex flex-col gap-4 border-b border-[#404040] py-6"><p class="sm:leading-12 text-[32px] font-medium leading-8 text-white sm:text-[48px]">5.1x</p><p class="leading-4.5 font-mono text-sm font-medium text-white opacity-80 sm:font-sans sm:text-xl">Faster inference</p></div><div class="flex flex-col gap-4 border-b border-[#404040] py-6"><p class="sm:leading-12 text-[32px] font-medium leading-8 text-white sm:text-[48px]">30%</p><p class="leading-4.5 font-mono text-sm font-medium text-white opacity-80 sm:font-sans sm:text-xl">Lower cost</p></div><div class="flex flex-col gap-4 border-b border-[#404040] py-6"><p class="sm:leading-12 text-[32px] font-medium leading-8 text-white sm:text-[48px]">2.3x</p><p class="leading-4.5 font-mono text-sm font-medium text-white opacity-80 sm:font-sans sm:text-xl">Faster Scaling When Demand Spikes</p></div></div><p class="font-mono text-xs font-medium leading-4 text-white opacity-80 sm:text-sm">Based on real production inference traffic, including real-time and batch workloads, using equivalent model configurations.</p></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-black text-white" id="modern-ai"><div data-slot="section-container" class="container h-full"><div class="flex flex-col gap-12 sm:gap-16"><div data-slot="section-header" class="flex flex-col gap-6"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px]">Inference-First by Design</h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6">Inference is serverless by default. Scaling, traffic handling, and cost optimization happen automatically, including scaling to zero.</p></div><div class="border-border-dark flex flex-col border"><div class="divide-border-dark flex flex-col divide-y lg:flex-row lg:divide-x lg:divide-y-0"><div class="flex flex-1 items-center p-6 sm:p-8"><div class="flex items-start gap-6"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="text-lime size-8 shrink-0"><path fill="currentColor" d="M26.667 8H24v2.667h2.667zM29.333 10.667h-2.667V16h2.667zM26.667 16H5.334v2.667h21.333zM5.333 10.667H2.666V16h2.667zM10.667 8H5.334v2.667h5.333zM21.334 2.667h-8v2.666h8zM13.333 5.333h-2.667V8h2.667zM13.333 10.667h-2.667v2.666h2.667zM24 5.333h-2.666V8h2.667zM24 10.667h-2.666v2.666h2.667zM14.666 21.333h2.667V24h-2.667zM14.666 26.667h2.667v2.667h-2.667zM5.334 24h9.333v2.667H5.334zM17.334 24h9.333v2.667h-9.333z"></path><path fill="currentColor" d="M14.666 18.667h2.667v2.667h-2.667z"></path></svg><div class="flex flex-col gap-4"><h3 class="text-lg font-medium leading-6 text-white sm:text-2xl">Serverless by Default</h3><p class="leading-4.5 font-mono text-xs text-[#a3a3a3] sm:text-sm">Inference runs serverless by default, with automatic scaling, request batching, and cost-aware scheduling.</p></div></div></div><div class="flex flex-1 items-center p-6 sm:p-8"><div class="flex items-start gap-6"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="text-lime size-8 shrink-0"><path fill="currentColor" fill-rule="evenodd" d="M5.334 17.333h10.667v8h2.667V28h-2.667v2.667h-2.667V20H2.668v-5.333h2.666zm16 8h-2.666v-2.666h2.666zm2.667-2.666h-2.667V20h2.667zM26.668 20h-2.667v-2.667h2.667zm-8-8h10.666v5.333h-2.666v-2.666H16.001v-8h-2.667V4h2.667V1.333h2.667zM8.001 14.667H5.334V12h2.667zM10.668 12H8.001V9.333h2.667zm2.666-2.667h-2.666V6.667h2.666z" clip-rule="evenodd"></path></svg><div class="flex flex-col gap-4"><h3 class="text-lg font-medium leading-6 text-white sm:text-2xl">Performance at Scale</h3><p class="leading-4.5 font-mono text-xs text-[#a3a3a3] sm:text-sm">Dedicated GPU clusters with RDMA-ready networking ensure stable throughput under sustained load.</p></div></div></div><div class="flex flex-1 items-center p-6 sm:p-8"><div class="flex items-start gap-6"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 32 32" class="text-lime size-8 shrink-0"><path fill="currentColor" d="M2.666 18.667h10.667v2.667H2.666zM2.666 26.667h10.667v2.667H2.666z"></path><path fill="currentColor" d="M2.666 21.333h2.667v5.333H2.666zM10.666 21.333h2.667v5.333h-2.667zM18.666 2.667h10.667v2.667H18.666zM18.666 10.667h10.667v2.667H18.666z"></path><path fill="currentColor" d="M18.666 5.333h2.667v5.333h-2.667zM26.666 5.333h2.667v5.333h-2.667zM16 22.667h9.333v2.667H16zM22.666 16h2.667v6.667h-2.667zM6.666 2.667h2.667V16H6.666z"></path></svg><div class="flex flex-col gap-4"><h3 class="text-lg font-medium leading-6 text-white sm:text-2xl">Flexible by Design</h3><p class="leading-4.5 font-mono text-xs text-[#a3a3a3] sm:text-sm">Scale from API-based inference to full GPU clusters without re-architecting your stack.</p></div></div></div></div><div class="border-border-dark lg:h-100 relative h-60 border-t sm:h-80"><div class="absolute inset-0"></div></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-black text-white" id="testimonials"><div data-slot="section-container" class="container h-full"><div class="flex flex-col gap-6 sm:gap-16"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px]">Trusted by Leading AI Teams</h2><div class="border-border-dark border-b border-r"><div class="grid grid-cols-1 sm:grid-cols-3"><article class="border-border-dark flex flex-col gap-6 border-l border-t p-6 sm:p-8"><div class="flex h-10 items-center"><img alt="Mirelo AI" loading="lazy" width="150" height="32" decoding="async" data-nimg="1" class="h-6 w-auto" style="color:transparent" srcSet="/_next/static/media/mirelo-ai-logo.0kij0.d2wsx~m.webp 1x, /_next/static/media/mirelo-ai-logo.0kij0.d2wsx~m.webp 2x" src="/_next/static/media/mirelo-ai-logo.0kij0.d2wsx~m.webp"/></div><p class="font-mono text-xs leading-5 text-white/70">Mirelo AI chose GMI Cloud as its AI infrastructure partner to scale foundational model development with lower cost, faster iteration, and startup-friendly flexibility.</p><ul class="flex flex-col gap-2"><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">40% lower training costs</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">20% faster training time</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">10–15% lower infrastructure cost vs. alternatives</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Flexible commercial structure tailored to startup needs</span></li></ul></article><article class="border-border-dark flex flex-col gap-6 border-l border-t p-6 sm:p-8"><div class="flex h-10 items-center"><img alt="Higgsfield" loading="lazy" width="115" height="32" decoding="async" data-nimg="1" class="h-8 w-auto invert" style="color:transparent" srcSet="/_next/static/media/higgsfield-logo.0zd11f8uk4npu.webp 1x, /_next/static/media/higgsfield-logo.0zd11f8uk4npu.webp 2x" src="/_next/static/media/higgsfield-logo.0zd11f8uk4npu.webp"/></div><p class="font-mono text-xs leading-5 text-white/70">Higgsfield runs real-time generative video workloads on GMI Cloud with lower latency, lower compute cost, and production-grade reliability.</p><ul class="flex flex-col gap-2"><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">65% lower p95 inference latency</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">45% lower compute cost</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">99.9% request success rate under peak traffic</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Production-grade endpoint resilience</span></li></ul></article><article class="border-border-dark flex flex-col gap-6 border-l border-t p-6 sm:p-8"><div class="flex h-10 items-center"><svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 344 47" class="h-4 w-auto brightness-0 invert" aria-label="WiAdvance"><path fill="#82C200" d="M73.523 0H62.258v8.755h11.265z"></path><path fill="#575A5D" d="M62.234 8.31H73.5l.182 36.914H62.417z"></path><path fill="#82C200" d="M147.67 8.914c-2.54-.228-4.75-.193-7.062-.16h-.217c-3.098.046-5.9.616-8.327 1.677-2.608 1.14-4.374 2.565-5.547 4.48-1.23 1.983-1.845 4.412-1.845 7.216v8.014c0 2.12.159 4.127.467 5.962.342 2.03 1.105 3.82 2.267 5.324 1.23 1.585 3.041 2.839 5.387 3.717 2.256.843 5.138 1.254 8.783 1.254s6.527-.41 8.816-1.254c2.381-.878 4.203-2.144 5.434-3.762 1.161-1.517 1.925-3.318 2.266-5.347.308-1.835.467-3.853.467-6.02l-.376-29.89h-10.547l.045 8.79zm0 21.729c0 1.231-.046 2.417-.137 3.511-.08.878-.307 1.642-.672 2.257-.296.49-.786.878-1.481 1.186-.547.24-1.651.524-3.804.524s-3.269-.296-3.805-.547c-.706-.32-1.196-.741-1.503-1.265-.388-.662-.615-1.494-.695-2.463a50 50 0 0 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1.948-2.759 2.301-4.491.308-1.517.456-3.227.456-5.085h-10.457c0 .958-.068 1.836-.193 2.634a3 3 0 0 1-.65 1.493c-.307.365-.774.661-1.458.9-.535.194-1.594.422-3.565.422-2.107 0-3.178-.296-3.713-.547-.695-.319-1.162-.73-1.435-1.242-.354-.65-.547-1.448-.581-2.349a90 90 0 0 1-.069-3.66v-7.865c0-.992.08-1.915.228-2.759.114-.673.353-1.231.718-1.71.307-.399.786-.718 1.435-.969.512-.194 1.515-.433 3.406-.433s2.984.228 3.542.433c.684.24 1.185.547 1.47.9.341.422.558.913.649 1.517.114.73.194 2.382.194 3.454v1.881h10.308zM343.669 24.031c0-2.223-.193-4.275-.569-6.11-.41-2.007-1.23-3.762-2.426-5.21-1.253-1.494-3.008-2.68-5.217-3.488-2.142-.798-4.796-1.175-8.111-1.175-3.554 0-6.344.4-8.52 1.209-2.255.843-3.998 2.052-5.205 3.59-1.151 1.483-1.891 3.227-2.187 5.21-.274 1.768-.411 3.728-.411 5.803v5.883c0 2.086.149 4.024.445 5.79.33 1.95 1.059 3.672 2.187 5.12 1.173 1.527 2.916 2.724 5.171 3.568 2.176.809 4.955 1.208 8.52 1.208 2.962 0 5.491-.285 7.518-.844 2.142-.593 3.896-1.447 5.206-2.565 1.333-1.128 2.267-2.485 2.802-4.058.478-1.425.729-3.021.729-4.754l-10.457.057c0 1.437-.376 2.52-1.127 3.215-.388.365-1.515.98-4.671.98-2.073 0-3.132-.273-3.656-.501-.661-.297-1.116-.673-1.401-1.186-.376-.661-.604-1.46-.672-2.383-.08-1.037-.125-2.2-.137-3.465h22.189V24.02zm-22.166-1.88a42 42 0 0 1 .114-2.19c.068-.866.296-1.618.66-2.234.297-.49.764-.89 1.447-1.209.513-.239 1.572-.524 3.622-.524 1.891 0 2.928.24 3.463.445.627.24 1.071.57 1.378 1.037.399.593.661 1.402.798 2.383.091.684.159 1.459.193 2.302h-11.675zM234.626 20.92c0-1.494-.205-2.999-.615-4.458-.444-1.607-1.31-3.055-2.563-4.31-1.264-1.253-3.03-2.28-5.274-3.032-2.187-.74-4.921-1.094-8.361-1.094-2.676 0-5.034.296-7.005.9-2.027.605-3.725 1.448-5.035 2.497-1.332 1.06-2.346 2.314-2.984 3.717a10.26 10.26 0 0 0-.945 4.32h10.046c0-1.847.661-3.557 5.445-3.557 2.346 0 3.622.308 4.271.559.878.342 1.515.752 1.891 1.22.41.513.661 1.037.752 1.619.114.706.171 1.333.182 1.915-2.733-.228-5.023-.206-7.586-.183h-.216c-3.019.034-5.753.49-8.133 1.345-2.62.947-4.34 2.087-5.548 3.694-1.218 1.619-1.868 3.58-1.925 5.837v.33c.023 1.654.183 3.215.479 4.652a9.16 9.16 0 0 0 2.358 4.548c1.23 1.311 3.03 2.326 5.342 3.044 2.198.673 5.012 1.003 8.6 1.003s6.402-.33 8.623-1.003c2.346-.718 4.157-1.744 5.399-3.078a9.33 9.33 0 0 0 2.346-4.56c.251-1.22.399-2.53.445-3.922h.011V20.92m-10.571 11.388c0 .992-.045 1.95-.136 2.839-.069.66-.262 1.197-.604 1.653-.273.376-.774.695-1.492.957-.592.217-1.766.468-4.021.468s-3.337-.263-3.918-.48c-.718-.273-1.208-.603-1.493-1.002-.341-.49-.558-1.106-.626-1.836-.08-.855-.125-1.79-.137-2.793.023-.786.217-1.38.684-2.086.398-.604 1.036-1.049 1.936-1.368.957-.342 2.324-.502 4.431-.547.923-.023 3.246.011 5.388.342v3.853z"></path><path fill="#575A5D" d="m23.75 8.276-6.79 21.068-6.538-21.068H0l12.974 36.868h7.95l8.305-22.96 8.2 22.949h7.963L58.696 8.276h-10.49l-6.79 21.068-7.198-21.01M112.919 45.076h11.904L107.737.194H95.606L76.89 45.178h11.584l4.716-11.64h14.99l4.738 11.526zM97.257 23.678l4.146-10.066 3.418 10.066z"></path><path fill="#82C200" d="m108.177 33.539 4.83 11.628h11.903L107.733.194H95.602"></path></svg></div><p class="font-mono text-xs leading-5 text-white/70">WiAdvance works with GMI Cloud to support public-sector and enterprise AI adoption in Taiwan through flexible infrastructure allocation and managed AI access.</p><ul class="flex flex-col gap-2"><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Trusted SI / channel-led delivery model</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Supports government and education-related use cases</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Flexible allocation across committed and on-demand capacity</span></li><li class="flex items-start gap-2"><span class="bg-lime mt-1.5 h-1.5 w-1.5 shrink-0" aria-hidden="true"></span><span class="font-mono text-xs leading-5 text-white/70">Detailed usage reporting for downstream operations</span></li></ul></article></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-[#262626] text-white" id="faq"><div data-slot="section-container" class="container h-full"><div class="flex flex-col gap-6 sm:gap-14 lg:flex-row lg:gap-32"><div data-slot="section-header" class="flex flex-col gap-6 shrink-0 max-w-100"><h2 data-slot="section-title" class="text-[32px] font-medium leading-10 sm:text-[48px] text-white sm:leading-16">FAQ</h2><p data-slot="section-description" class="font-mono text-sm opacity-80 sm:text-lg sm:leading-6 text-white">Get quick answers to common queries in our FAQs.</p></div><div class="flex-1"><div data-orientation="vertical" dir="ltr" role="region" data-slot="accordion"><div data-orientation="vertical" data-index="-1" data-closed="" data-slot="accordion-item" class="border-b border-border-dark"><h3 data-orientation="vertical" data-index="-1" data-closed="" class="flex"><button type="button" data-value="" data-orientation="vertical" data-index="-1" tabindex="0" aria-disabled="false" aria-expanded="false" id="base-ui-_R_1l5fiv9filbH2_" data-slot="accordion-trigger" class="flex flex-1 items-center justify-between gap-6 transition-all sm:gap-10 [&amp;[data-open]&gt;svg]:rotate-180 data-panel-open:text-lime hover:text-lime py-6 pb-8 text-left text-lg font-medium text-white data-panel-open:pb-0 sm:py-8 sm:text-2xl">What is AI inference infrastructure?<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 16 16" class="size-4 shrink-0 transition-transform duration-200"><path fill="currentColor" d="M1.455 4.364H2.91v1.455H1.455zM2.91 5.818h1.455v1.455H2.91zM4.363 7.273h1.455v1.455H4.363z"></path><path fill="currentColor" d="M5.818 8.727h1.455v1.455H5.818zM7.273 10.182h1.455v1.455H7.273zM8.729 8.727h1.455v1.455H8.729z"></path><path fill="currentColor" d="M10.182 7.273h1.455v1.455h-1.455zM11.637 5.818h1.455v1.455h-1.455zM13.092 4.364h1.455v1.455h-1.455z"></path></svg></button></h3></div><div data-orientation="vertical" data-index="-1" data-closed="" data-slot="accordion-item" class="border-b border-border-dark"><h3 data-orientation="vertical" data-index="-1" data-closed="" class="flex"><button type="button" data-value="" data-orientation="vertical" data-index="-1" tabindex="0" aria-disabled="false" aria-expanded="false" id="base-ui-_R_2l5fiv9filbH2_" data-slot="accordion-trigger" class="flex flex-1 items-center justify-between gap-6 transition-all sm:gap-10 [&amp;[data-open]&gt;svg]:rotate-180 data-panel-open:text-lime hover:text-lime py-6 pb-8 text-left text-lg font-medium text-white data-panel-open:pb-0 sm:py-8 sm:text-2xl">Why do companies need specialized infrastructure for AI inference?<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 16 16" class="size-4 shrink-0 transition-transform duration-200"><path fill="currentColor" d="M1.455 4.364H2.91v1.455H1.455zM2.91 5.818h1.455v1.455H2.91zM4.363 7.273h1.455v1.455H4.363z"></path><path fill="currentColor" d="M5.818 8.727h1.455v1.455H5.818zM7.273 10.182h1.455v1.455H7.273zM8.729 8.727h1.455v1.455H8.729z"></path><path fill="currentColor" d="M10.182 7.273h1.455v1.455h-1.455zM11.637 5.818h1.455v1.455h-1.455zM13.092 4.364h1.455v1.455h-1.455z"></path></svg></button></h3></div><div data-orientation="vertical" data-index="-1" data-closed="" data-slot="accordion-item" class="border-b border-border-dark"><h3 data-orientation="vertical" data-index="-1" data-closed="" class="flex"><button type="button" data-value="" data-orientation="vertical" data-index="-1" tabindex="0" aria-disabled="false" aria-expanded="false" id="base-ui-_R_3l5fiv9filbH2_" data-slot="accordion-trigger" class="flex flex-1 items-center justify-between gap-6 transition-all sm:gap-10 [&amp;[data-open]&gt;svg]:rotate-180 data-panel-open:text-lime hover:text-lime py-6 pb-8 text-left text-lg font-medium text-white data-panel-open:pb-0 sm:py-8 sm:text-2xl">What types of AI workloads can run on GMI Cloud?<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 16 16" class="size-4 shrink-0 transition-transform duration-200"><path fill="currentColor" d="M1.455 4.364H2.91v1.455H1.455zM2.91 5.818h1.455v1.455H2.91zM4.363 7.273h1.455v1.455H4.363z"></path><path fill="currentColor" d="M5.818 8.727h1.455v1.455H5.818zM7.273 10.182h1.455v1.455H7.273zM8.729 8.727h1.455v1.455H8.729z"></path><path fill="currentColor" d="M10.182 7.273h1.455v1.455h-1.455zM11.637 5.818h1.455v1.455h-1.455zM13.092 4.364h1.455v1.455h-1.455z"></path></svg></button></h3></div><div data-orientation="vertical" data-index="-1" data-closed="" data-slot="accordion-item" class="border-b border-border-dark"><h3 data-orientation="vertical" data-index="-1" data-closed="" class="flex"><button type="button" data-value="" data-orientation="vertical" data-index="-1" tabindex="0" aria-disabled="false" aria-expanded="false" id="base-ui-_R_4l5fiv9filbH2_" data-slot="accordion-trigger" class="flex flex-1 items-center justify-between gap-6 transition-all sm:gap-10 [&amp;[data-open]&gt;svg]:rotate-180 data-panel-open:text-lime hover:text-lime py-6 pb-8 text-left text-lg font-medium text-white data-panel-open:pb-0 sm:py-8 sm:text-2xl">How do teams move from AI prototype to production deployment?<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 16 16" class="size-4 shrink-0 transition-transform duration-200"><path fill="currentColor" d="M1.455 4.364H2.91v1.455H1.455zM2.91 5.818h1.455v1.455H2.91zM4.363 7.273h1.455v1.455H4.363z"></path><path fill="currentColor" d="M5.818 8.727h1.455v1.455H5.818zM7.273 10.182h1.455v1.455H7.273zM8.729 8.727h1.455v1.455H8.729z"></path><path fill="currentColor" d="M10.182 7.273h1.455v1.455h-1.455zM11.637 5.818h1.455v1.455h-1.455zM13.092 4.364h1.455v1.455h-1.455z"></path></svg></button></h3></div><div data-orientation="vertical" data-index="-1" data-closed="" data-slot="accordion-item" class="border-b border-border-dark"><h3 data-orientation="vertical" data-index="-1" data-closed="" class="flex"><button type="button" data-value="" data-orientation="vertical" data-index="-1" tabindex="0" aria-disabled="false" aria-expanded="false" id="base-ui-_R_5l5fiv9filbH2_" data-slot="accordion-trigger" class="flex flex-1 items-center justify-between gap-6 transition-all sm:gap-10 [&amp;[data-open]&gt;svg]:rotate-180 data-panel-open:text-lime hover:text-lime py-6 pb-8 text-left text-lg font-medium text-white data-panel-open:pb-0 sm:py-8 sm:text-2xl">How can companies reduce the cost of large-scale AI inference?<svg xmlns="http://www.w3.org/2000/svg" fill="none" viewBox="0 0 16 16" class="size-4 shrink-0 transition-transform duration-200"><path fill="currentColor" d="M1.455 4.364H2.91v1.455H1.455zM2.91 5.818h1.455v1.455H2.91zM4.363 7.273h1.455v1.455H4.363z"></path><path fill="currentColor" d="M5.818 8.727h1.455v1.455H5.818zM7.273 10.182h1.455v1.455H7.273zM8.729 8.727h1.455v1.455H8.729z"></path><path fill="currentColor" d="M10.182 7.273h1.455v1.455h-1.455zM11.637 5.818h1.455v1.455h-1.455zM13.092 4.364h1.455v1.455h-1.455z"></path></svg></button></h3></div></div></div></div></div></section><section data-slot="section" class="md:py-26 lg:py-26 w-full px-6 py-12 sm:px-10 sm:py-20 md:px-16 bg-lime text-lime-foreground lg:h-169 relative overflow-hidden"><div data-slot="section-container" class="container h-full"><img alt="" loading="lazy" width="1920" height="673" decoding="async" data-nimg="1" class="min-w-360 sm:min-w-480 absolute bottom-0 left-1/2 -translate-x-1/2 mix-blend-multiply" style="color:transparent" src="/_next/static/media/mountain-background.05v3~hxiu_mu6.png"/><div 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