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We take care of autoscaling and latency to ensure efficient utilization of resources.</p></div></div></div></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b18452-1a31fe50" class="product_process-grid-box"><div data-w-id="6b97c5d5-4536-75a9-6c86-e58974b18453" style="opacity:0" class="product_process-box-content"><div class="margin-top margin-small"><h3 class="heading-style-h3 text-color-green">Balance autoscaling and latency</h3><div class="margin-top margin-small"><p class="text-size-medium">Through our proprietary algorithm, we help companies get the desired latency and linear autoscaling by using a cluster of always-on machines to optimize model load while maintaining the SLA.</p></div></div></div></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b1845b-1a31fe50" data-w-id="6b97c5d5-4536-75a9-6c86-e58974b1845b" style="opacity:0" class="product_process-grid-box"><div class="product_process-box-content"><div class="margin-top margin-small"><h3 class="heading-style-h3 text-color-green">Keep inference cost under control</h3><div class="margin-top margin-small"><p class="text-size-medium">With our developer-friendly usage-based billing module, we help companies only pay for the inference seconds they use for each model so that they donât have to worry about fixed inference costs.</p></div></div></div></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b18464-1a31fe50" class="product_process-grid-box"><div data-w-id="6b97c5d5-4536-75a9-6c86-e58974b18465" style="opacity:0" class="product_process-box-content"><div class="margin-top margin-small"><h3 class="heading-style-h3 text-color-green">End-to-End Model Deployment</h3><div class="margin-top margin-small"><p class="text-size-medium">With us, engineering teams can just deploy the model file, along with the pre-processing and post-processing functions. We automatically create the endpoints and provide the monitoring data.</p></div></div></div></div></div></div></div></div></div><section class="product-serverless"><div class="padding-global-old"><div class="container-large"><div class="padding-vertical padding-xxlarge"><div><h2 data-w-id="978429b3-621c-1c62-f30a-7c701de9825c" style="opacity:0" class="heading-style-h2 text-color-green text-weight-medium text-align-center">Why Serverless GPUs?</h2><div class="serverless-item-wrapper"><div data-w-id="33bcc306-7ad1-658a-e9c9-d36c18b757c1" class="serverless-item"><div class="serverless-head"><div class="text-size-medium">Viable Unit Economics</div><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6415ba5ec7afb784a9585b83_Group%2061.svg" loading="lazy" style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" alt="" class="servless-icon"/></div><h3 class="heading-style-h2 text-color-green text-weight-medium">10x Cost Savings for Deployment</h3><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccdf3a96ce1a7283f6cd_Mask%20group%20(30).webp" loading="lazy" style="opacity:1" sizes="(max-width: 1035px) 100v
429w, 1035px" alt="" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccdf3a96ce1a7283f6cd_Mask%20group%20(30)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccdf3a96ce1a7283f6cd_Mask%20group%20(30)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccdf3a96ce1a7283f6cd_Mask%20group%20(30).webp 1035w" class="serverless-item-image"/><div style="opacity:0" class="serverless-item-text">Gain cost efficiency by paying for GPU resources you need (utilization time) rather than expensive "always on" GPU resources.</div></div><div data-w-id="f81cbdd3-1599-dc70-0ca3-dc05060982e7" class="serverless-item"><div class="serverless-head"><div class="text-size-medium">Speed to market</div><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6415ba5ec7afb784a9585b83_Group%2061.svg" loading="lazy" style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" alt="" class="servless-icon"/></div><h3 class="heading-style-h2 text-color-green text-weight-medium">Deploy Any Model with 3 Lines of Code</h3><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccc92c3ec17c81b94725_Mask%20group%20(29).webp" loading="lazy" style="opacity:1" sizes="(max-width: 1035px) 100vw, 1035px" alt="" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccc92c3ec17c81b94725_Mask%20group%20(29)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccc92c3ec17c81b94725_Mask%20group%20(29)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ccc92c3ec17c81b94725_Mask%20group%20(29).webp 1035w" class="serverless-item-image"/><div style="opacity:0" class="serverless-item-text">We can provide Serverless GPUs for any model architecture. Allow you to pair models from Hugging face, Sagemaker, Pytorch, Tensorflow.</div></div><div data-w-id="9ed64bf5-1193-7c49-4dc9-469228731291" class="serverless-item"><div class="serverless-head"><div class="text-size-medium">Upgrade customer experience</div><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6415ba5ec7afb784a9585b83_Group%2061.svg" loading="lazy" style="-webkit-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-moz-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);-ms-transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0);transform:translate3d(0, 0, 0) scale3d(1, 1, 1) rotateX(0) rotateY(0) rotateZ(0deg) skew(0, 0)" alt="" class="servless-icon"/></div><h3 class="heading-style-h2 text-color-green text-weight-medium">Reduce Model Cold Start by 99%</h3><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/64227837841f871ab3f50905_Mask%20group%20(17).webp" loading="lazy" style="opacity:1" sizes="(max-width: 810px) 100vw, 810px" alt="" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/64227837841f871ab3f50905_Mask%20group%20(17)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/64227837841f871ab3f50905_Mask%20group%20(17).webp 810w" class="serverless-item-image"/><div style="opacity:0" class="serverless-item-text">Generally Out-of-the-box GPT-J model takes 25 minutes to âcold startâ. With Us, it takes ~10 seconds. No hassle to provision hardware upfront</div></div></div></div></div></div></div></section><div class="product_rr-section"><div class="padding-global-old"><div class="container-large"><div class="product_rr-wrapper"><h2 data-w-id="6b97c5d5-4536-75a9-6c86-e58974b18471" style="opacity:0" class="heading-style-h2 text-color-green text-weight-medium">Simply Run and Push with Our Serverless GPUs</h2><div class="product_rr-grid-wrapper"><div class="product_rr-content"><h3 class="heading-style-h2 text-color-green is--simple text-weight-medium">Run</h3><div class="product_rr-summary"><p class="text-size-medium">With us, you can execute complex machine learning models with just a few lines of code, eliminating the need for in-depth knowledge of ML concepts.</p></div><div class="product_rr-grid-wrap"><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b18488-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31).webp" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31)-p-1080.webp 1080w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31)-p-1600.webp 1600w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdd394136e1fe776250e_Mask%20group%20(31).webp 1764w" alt="" class="product_rr-image"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b1848a-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fe4a49a01008932c0ec13_Group%2096.svg" loading="lazy" alt="" class="product_rr-image big"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b1848c-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32).webp" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32)-p-1080.webp 1080w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32)-p-1600.webp 1600w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423cdfa21de6af300a13053_Mask%20group%20(32).webp 1764w" alt="" class="product_rr-image"/></div></div></div><div class="product_rr-content"><h3 class="heading-style-h2 text-color-green is--simple text-weight-medium">Push</h3><div class="product_rr-summary"><p class="text-size-medium">We've made the process easy for you so that you do not have to focus on GPU provisioning, intricating docker files</p></div><div class="product_rr-grid-wrap"><div id="w-node-_8aea9abd-3368-1958-8d08-ec4e7f3e9f40-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ce2d6b45797b1ad664b1_Group%2092.webp" loading="lazy" alt="" class="product_rr-image"/></div><div id="w-node-_8aea9abd-3368-1958-8d08-ec4e7f3e9f42-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ce5698e25f20623330f4_Mask%20group%20(34).webp" loading="lazy" alt="" class="product_rr-image big"/></div><div id="w-node-_8aea9abd-3368-1958-8d08-ec4e7f3e9f44-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/6423ce2d6b45797b1ad664b1_Group%2092.webp" loading="lazy" alt="" class="product_rr-image"/></div></div></div></div><div data-delay="4000" data-animation="slide" class="product_rr-slider w-slider" data-autoplay="false" data-easing="ease" data-hide-arrows="false" data-disable-swipe="false" data-autoplay-limit="0" data-nav-spacing="3" data-duration="300" data-infinite="true"><div class="product_rr-slider-mask w-slider-mask"><div class="product_rr-slider-slide w-slide"><div class="product_rr-grid-wrapper"><div class="product_rr-content"><h3 class="heading-style-h2 text-color-green is--simple text-weight-medium">Run</h3><div class="product_rr-summary"><p class="text-size-medium">With us, you can execute complex machine learning models with just a few lines of code, eliminating the need for in-depth knowledge of ML concepts.</p></div><div class="product_rr-grid-wrap"><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b18499-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec65a2bd1efdfa43eb47_Mask%20group%20(15).webp" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec65a2bd1efdfa43eb47_Mask%20group%20(15)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec65a2bd1efdfa43eb47_Mask%20group%20(15)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec65a2bd1efdfa43eb47_Mask%20group%20(15)-p-1080.webp 1080w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec65a2bd1efdfa43eb47_Mask%20group%20(15).webp 1176w" alt="" class="product_rr-image"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b1849b-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec74cc09c96708c0b3de_Mask%20group%20(16).webp" loading="lazy" sizes="100vw" srcset="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec74cc09c96708c0b3de_Mask%20group%20(16)-p-500.webp 500w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec74cc09c96708c0b3de_Mask%20group%20(16)-p-800.webp 800w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec74cc09c96708c0b3de_Mask%20group%20(16)-p-1080.webp 1080w, https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec74cc09c96708c0b3de_Mask%20group%20(16).webp 1176w" alt="" class="product_rr-image"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b1849d-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fe4a49a01008932c0ec13_Group%2096.svg" loading="lazy" alt="" class="product_rr-image"/></div></div></div></div></div><div class="product_rr-slider-slide w-slide"><div class="product_rr-grid-wrapper"><div class="product_rr-content"><h3 class="heading-style-h2 text-color-green is--simple text-weight-medium">Push</h3><div class="product_rr-summary"><p class="text-size-medium">We've made the process easy for you so that you do not have to focus on GPU provisioning, intricating docker files</p></div><div class="product_rr-grid-wrap"><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b184a8-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641febf29a708b42219da7b2_Mask%20group%20(12).png" loading="lazy" alt="" class="product_rr-image"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b184aa-1a31fe50" class="product_rr-image-wrapper"><img src="https://cdn.prod.website-files.com/640eae2485ab876a9c047cb2/641fec4f1971456499272816_Mask%20group%20(14).webp" loading="lazy" alt="" class="product_rr-image"/></div><div id="w-node-_6b97c5d5-4536-75a9-6c86-e58974b184ac-1a31fe50" 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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.