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opacity-30"></div></div><div class="relative mx-auto max-w-7xl px-6 py-24 sm:py-32 lg:flex lg:items-center lg:px-8 lg:py-40"><div class="max-w-2xl lg:max-w-xl"><h1 class="text-4xl font-bold tracking-tight text-white sm:text-6xl">5x+ Faster Deep Learning at Scale</h1><p class="mt-6 text-xl leading-8 text-gray-400">Train and Control Multiple Models Simultaneously</p><p class="text-xl leading-8 text-gray-400">For All Data and Model Sizes</p><div class="mt-10 flex items-center gap-x-6"><a href="/contact-us/" class="rounded-md bg-blue-500 px-3.5 py-2.5 text-sm font-semibold text-white shadow-sm hover:bg-blue-600 transition-colors duration-300 focus-visible:outline focus-visible:outline-2 focus-visible:outline-offset-2 focus-visible:outline-blue-500">Book a Free Trial</a></div></div></div></div><div class="mx-auto mt-8 max-w-7xl px-6 sm:mt-16 lg:px-8"><div class="mx-auto max-w-5xl text-center"><p class="text-gray-400 text-sm font-medium uppercase tracking-wider mb-2">Why RapidFire</p><p class="text-3xl font-bold tracking-tight text-white sm:text-4xl">Agile Experiments. Rapid Results.</p></div><div class="mx-auto mt-16 max-w-6xl"><div class="grid grid-cols-1 md:grid-cols-3 gap-4 mb-4"><div class="border border-white/20 rounded-lg p-6 hover:border-white/40 transition-colors duration-300"><div class="flex items-center gap-6"><div class="flex-shrink-0 h-16 w-16 flex items-center justify-center"> <svg xmlns="http://www.w3.org/2000/svg" width="60" height="60" viewbox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="text-white"><rect x="3" y="3" width="4" height="4" /><rect x="10" y="3" width="4" height="4" /><rect x="17" y="3" width="4" height="4" /><rect x="3" y="10" width="4" height="4" /><rect x="10" y="10" width="4" height="4" /><rect x="17" y="10" width="4" height="4" /><rect x="3" y="17" width="4" height="4" /><rect x="10" y="17" width="4" height="4" /><rect x="17" y="17" width="4" height="4" /><path d="M7 5h3" /><path d="M14 5h3" /><path d="M7 12h3" /><path d="M14 12h3" /><path d="M7 19h3" /><path d="M14 19h3" /><path d="M5 7v3" /><path d="M12 7v3" /><path d="M19 7v3" /><path d="M5 14v3" /><path d="M12 14v3" /><path d="M19 14v3" /></svg></div><div><h3 class="text-lg font-semibold text-white mb-2">Hyperparallelized</h3><p class="text-gray-400">Train many model configurations at once</p></div></div></div><div class="border border-white/20 rounded-lg p-6 hover:border-white/40 transition-colors duration-300"><div class="flex items-center gap-6"><div class="flex-shrink-0 h-16 w-16 flex items-center justify-center"> <img loading="lazy" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/2ecc8ecd-962a-4083-7bb8-763296a74800/original" class="max-h-full w-auto" data-assetid="vrm4exjk" data-responsiver="false" alt="Controller"></div><div><h3 class="text-lg font-semibold text-white mb-2">Real-Time Control</h3><p class="text-gray-400">Kill what doesn鈥檛 work, clone what does</p></div></div></div><div class="border border-white/20 rounded-lg p-6 hover:border-white/40 transition-colors duration-300"><div class="flex items-center gap-6"><div class="flex-shrink-0 h-16 w-16 flex items-center justify-center"><img loading="lazy" class="max-h-full w-auto" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/1e5a1093-5e9e-4bf8-57b5-3147b6545600/original" data-assetid="dvm9tl6u" data-responsiver="false" alt="Environment"></div><div><h3 class="text-lg font-semibold text-white mb-2">Fully Optimized</h3><p class="text-gray-400">Dramatically faster time to accuracy, lower GPU costs</p></div></div></div></div><div class="grid grid-cols-1 md:grid-cols-2 gap-4 max-w-[75%] mx-auto"><div class="border border-white/20 rounded-lg p-6 hover:border-white/40 transition-colors duration-300"><div class="flex items-center gap-6"><div class="flex-shrink-0 h-16 w-16 flex items-center justify-center"> <img loading="lazy" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/365c7843-bf33-45e1-9aab-9ef6f03af500/original" class="max-h-full w-auto" data-assetid="5wlha5rl" data-responsiver="false" alt="Scale"></div><div><h3 class="text-lg font-semibold text-white mb-2">Scale Out of the Box</h3><p class="text-gray-400">Across all model and data sizes</p></div></div></div><div class="border border-white/20 rounded-lg p-6 hover:border-white/40 transition-colors duration-300"><div class="flex items-center gap-6"><div class="flex-shrink-0 h-16 w-16 flex items-center justify-center"> <img loading="lazy" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/7f90fcfc-1a2a-4d5b-e0ef-9b9ac187d300/original" class="max-h-full w-auto" data-assetid="7irb4i3v" data-responsiver="false" alt="Setup"></div><div><h3 class="text-lg font-semibold text-white mb-2">Simple Setup</h3><p class="text-gray-400">No MLOps friction, launch runs from a notebook</p></div></div></div></div></div></div><div class="mx-auto mt-32 max-w-7xl px-6 sm:mt-54 lg:px-8"><div class="mx-auto max-w-5xl text-center"><p class="text-gray-400 text-sm font-medium uppercase tracking-wider mb-2">Our Technology</p><p class="text-3xl font-bold tracking-tight text-white sm:text-4xl">What RapidFire Does</p></div><div class="space-y-16"><div class="flex flex-col lg:flex-row items-center gap-8"><div class="w-full lg:w-1/2"> <img loading="lazy" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/861d89ea-530d-49ef-3cb4-70994f8ec700/original" class="w-full h-auto max-w-2xl mx-auto" data-assetid="yl20enij" data-responsiver="false" alt="Multi-Dimensional Parallelism"></div><div class="w-full lg:w-1/2"><h3 class="text-xl font-semibold leading-7 text-white mb-4">Multi-Dimensional Parallelism</h3><div class="text-base leading-7 text-gray-300"><p class="mb-4">RapidFire AI features a patent-pending innovative hybrid-parallel distributed execution engine that we call <i>multi-dimensional parallelism</i> to scale workloads automatically on a cluster, improve GPU utilization, and reduce runtimes.</p><div class="space-y-3"><div class="border border-gray-700 rounded-lg overflow-hidden"><button class="w-full px-4 py-3 flex items-center justify-between text-white hover:bg-gray-800/50 transition-colors duration-200"><div class="flex items-center"><svg class="h-6 w-6 flex-none fill-indigo-500" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3">Data Scaling</span></div><svg class="accordion-arrow h-5 w-5" fill="none" viewbox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M19 9l-7 7-7-7" /></svg></button><div class="accordion-content max-h-0 overflow-hidden"><div class="p-4 bg-gray-800/25 text-gray-300">A new hybrid of sharded data parallelism and task parallelism helps us scale to arbitrarily large datasets across GPUs and machines in a resource-optimal manner that minimizes communication costs.</div></div></div><div class="border border-gray-700 rounded-lg overflow-hidden"><button class="w-full px-4 py-3 flex items-center justify-between text-white hover:bg-gray-800/50 transition-colors duration-200"><div class="flex items-center"><svg class="h-6 w-6 flex-none fill-indigo-500" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3">Model Scaling</span></div><svg class="accordion-arrow h-5 w-5" fill="none" viewbox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M19 9l-7 7-7-7" /></svg></button><div class="accordion-content max-h-0 overflow-hidden"><div class="p-4 bg-gray-800/25 text-gray-300">A new hybrid of task parallelism and model parallelism generalizes intra-machine data parallelism, FSDP, and DeepSpeed-style pipelining across GPUs in an automated manner that maximizes GPU utilization.</div></div></div><div class="border border-gray-700 rounded-lg overflow-hidden"><button class="w-full px-4 py-3 flex items-center justify-between text-white hover:bg-gray-800/50 transition-colors duration-200"><div class="flex items-center"><svg class="h-6 w-6 flex-none fill-indigo-500" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3">Multi-Model Execution</span></div><svg class="accordion-arrow h-5 w-5" fill="none" viewbox="0 0 24 24" stroke="currentColor"><path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M19 9l-7 7-7-7" /></svg></button><div class="accordion-content max-h-0 overflow-hidden"><div class="p-4 bg-gray-800/25 text-gray-300">New analogues of "multi-query optimization" interleave computation, communication, and data movement across the memory hierarchy for concurrent model configurations in a holistic and resource-aware manner to reduce runtimes and reduce communication costs by 10,000x.</div></div></div></div></div></div></div></div><script>document.querySelectorAll(".border.border-gray-700").forEach(e=>{const r=e.querySelector("button"),t=e.querySelector(".accordion-content"),o=e.querySelector(".accordion-arrow");r.addEventListener("click",()=>{var e="true"===r.getAttribute("aria-expanded");document.querySelectorAll(".border.border-gray-700").forEach(e=>{var r=e.querySelector("button"),t=e.querySelector(".accordion-content"),e=e.querySelector(".accordion-arrow");r.setAttribute("aria-expanded","false"),t.style.maxHeight="0",e.style.transform="rotate(0deg)"}),e||(r.setAttribute("aria-expanded","true"),t.style.maxHeight=t.scrollHeight+"px",o.style.transform="rotate(180deg)")}),r.setAttribute("aria-expanded","false");e="accordion-content-"+Math.random().toString(36).substr(2,9);r.setAttribute("aria-controls",e),t.id=e})</script><div class="w-full mt-24 lg:mt-32 mb-32 lg:mb-48"><div class="mx-auto max-w-7xl px-6 lg:px-8"><div class="mx-auto max-w-5xl text-center mb-16"><p class="text-gray-400 text-sm font-medium uppercase tracking-wider mb-2">Features</p><p class="text-3xl font-bold tracking-tight text-white sm:text-4xl">Agile Development Environment</p></div><div class="border-b border-gray-700"><nav class="flex justify-center -mb-px space-x-8" aria-label="Features"><button class="feature-tab border-b-2 border-blue-500 py-4 px-1 text-sm font-medium text-blue-500 whitespace-nowrap" data-tab="1">Hyperparallelized Training</button> <button class="feature-tab border-b-2 border-transparent py-4 px-1 text-sm font-medium text-gray-400 hover:text-gray-300 whitespace-nowrap" data-tab="2">Real-Time Control</button> <button class="feature-tab border-b-2 border-transparent py-4 px-1 text-sm font-medium text-gray-400 hover:text-gray-300 whitespace-nowrap" data-tab="3">Quick Launch from UI</button></nav></div><div class="relative mt-12"><div class="feature-content opacity-100" data-content="1"><div class="grid grid-cols-1 lg:grid-cols-2 gap-8 items-center"><div class="order-2 lg:order-1 flex flex-col justify-center"><h3 class="text-xl font-semibold leading-7 text-white mb-4">Train Multiple Models Simultaneously</h3><p class="text-base leading-7 text-gray-300 mb-6">Train and compare multiple model configurations at once, maximizing your GPU utilization, and accelerating your development cycle.</p><ul class="space-y-4"><li class="flex items-start"><svg class="h-6 w-6 flex-none fill-indigo-500 mt-1" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3 text-gray-300">Parallel model training with optimized resource allocation</span></li><li class="flex items-start"><svg class="h-6 w-6 flex-none fill-indigo-500 mt-1" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3 text-gray-300">Compare any combination of hyperparameter values, model architecture changes, and even input/output representations</span></li></ul></div><div class="order-1 lg:order-2 flex items-center"> <img data-pristine="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/original" sizes="100vw" srcset="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/small 320w, /cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/medium 640w, /cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/large 1280w, /cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/xl 1920w, /cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/xxl 2560w, /cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/original 5120w" loading="lazy" src="/cdn-cgi/imagedelivery/CkSmQAGqpZ-mcWDDI6mu0w/236b3492-6885-484a-6b8f-fea4b6450d00/original" class="rounded-xl shadow-2xl ring-1 ring-gray-700/10 w-full" data-assetid="wfdtbc0v" alt="Notebook"></div></div></div><div class="feature-content opacity-0 absolute top-0 left-0 right-0" data-content="2"><div class="grid grid-cols-1 lg:grid-cols-2 gap-8 items-center"><div class="order-2 lg:order-1 flex flex-col justify-center"><h3 class="text-xl font-semibold leading-7 text-white mb-4">Control Your Models in Real Time</h3><p class="text-base leading-7 text-gray-300 mb-6">Take control of your training process with real-time monitoring and control capabilities.</p><ul class="space-y-4"><li class="flex items-start"><svg class="h-6 w-6 flex-none fill-indigo-500 mt-1" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3 text-gray-300">Stop underperforming models in place. Resources automatically reapportioned to running models.</span></li><li class="flex items-start"><svg class="h-6 w-6 flex-none fill-indigo-500 mt-1" viewbox="0 0 24 24"><circle cx="12" cy="12" r="12" opacity="0.2" /><path d="M8 13l2.5 2.5L16 9" stroke="white" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" /></svg> <span class="ml-3 text-gray-300">Clone high performing models, modify any knobs (hyperparameters, architecture, etc.), and add them to the mix. 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