{"id":43903,"date":"2026-07-23T23:30:00","date_gmt":"2026-07-23T21:30:00","guid":{"rendered":"http:\/\/stocks-future.com\/?guid=5c739b313777554d93aa20ee3b92dc1f"},"modified":"2026-07-23T23:30:00","modified_gmt":"2026-07-23T21:30:00","slug":"liqid-unveils-massive-scale-up-ai-platform-powered-by-amd-instinct-mi350p-gpus","status":"publish","type":"post","link":"https:\/\/stocks-future.com\/?p=43903","title":{"rendered":"Liqid Unveils Massive Scale-Up AI Platform Powered by AMD Instinct\u2122 MI350P GPUs"},"content":{"rendered":"<p>\n<i>Solution combines up to 30x AMD Instinct MI350P GPUs with Liqid's GPU pooling platform, to deliver breakthrough AI inference performance and efficiency.<\/i><\/p><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260723526233\/en\/538743\/5\/Liqid_full-identity_black-cyan.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260723526233\/en\/538743\/22\/Liqid_full-identity_black-cyan.jpg\" \/><\/a><br\/><a href=\"https:\/\/mms.businesswire.com\/media\/20260723526233\/en\/538743\/5\/Liqid_full-identity_black-cyan.jpg\"><img src=\"https:\/\/mms.businesswire.com\/media\/20260723526233\/en\/538743\/21\/Liqid_full-identity_black-cyan.jpg\" \/><\/a><p>WESTMINSTER, Colo.--(BUSINESS WIRE)--<a href=\"https:\/\/twitter.com\/hashtag\/aiinfrastructure?src=hash\" >#aiinfrastructure<\/a>--<b>Liqid<\/b>\u00ae (<a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.liqid.com&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=www.liqid.com&amp;index=1&amp;md5=8128741fbe2e6cbb9374c5aba734d7a4\" rel=\"nofollow\" shape=\"rect\">www.liqid.com<\/a>), the global leader in software-defined memory and GPU pooling infrastructure, today announced a strategic collaboration with AMD to deliver next-generation AI infrastructure solutions built around the new AMD Instinct\u2122 MI350P GPUs. The collaboration pairs Liqid\u2019s GPU pooling solutions with AMD PCIe-based Instinct GPUs to give enterprise and cloud customers scalable, efficient AI infrastructure, without rebuilding their datacenters around it.<\/p><p>\nAs AI inference workloads continue to grow in size and complexity, organizations need infrastructure that delivers higher performance while maximizing GPU utilization and lowering the cost of every generated token. Powered by AMD Instinct MI350P Series GPUs, Liqid enables customers to dynamically pool and scale-up 30x GPUs to a server, creating large, pooled accelerator fabrics that can deploy models of the largest size. The result is breakthrough AI performance, higher GPU utilization, and industry-leading token economics; delivering more tokens per second, more tokens per dollar, and more tokens per watt without requiring specialized cooling or a complete datacenter redesign.<\/p><p>\n\u201cLiqid has established itself as the leader in GPU pooling and scaling,\u201d said Rick Hegberg, CEO, Liqid. \u201cThe AMD Instinct MI350P Series gives us the ideal PCIe-based GPU to build the next generation of AI infrastructure, allowing us to deliver solutions tuned for enterprise AI inference where utilization and cost per token decide the economics.\u201d<\/p><p>\n\"The AMD Instinct MI350P PCIe GPU delivers exceptional AI inference performance without requiring specialized infrastructure,\" said Suresh Andani, corporate vice president, Compute and Enterprise AI Group, AMD. \"Together with Liqid's GPU pooling solutions, customers can scale GPU resources on demand to achieve higher utilization, lower infrastructure costs, and industry-leading AI inference economics.\"<\/p><p>\n<b>Liqid UltraStack 30 \u2013 AMD MI350P<\/b><\/p><table cellspacing=\"0\" class=\"bwtablemarginb bwblockalignl bwwidth100\">\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<b>Specification<\/b><\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<b>Configuration<\/b><\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nServer<\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nAMD EPYC\u2122 9005 Series CPU, Dual-Socket<\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nGPUs<\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n30\u00d7 AMD Instinct\u2122 MI350P PCIe<\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nAI Performance<\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n69 PFLOPS (FP8)<\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nGPU HBM Memory<\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n4.3 TB<\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth25\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nTotal System Power<\/p><\/td><td class=\"bwpadl0 bwwidth75\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n~22 kW<\/p><\/td><\/tr>\n<\/table><ul class=\"bwlistdisc\">\n<li>\nScale up to 30x MI350P GPUs within a single server through Liqid\u2019s GPU pooling solution.<\/li>\n<li>\nScale more than 4TB of aggregate HBM3E for deploying large AI models in one system.<\/li>\n<li>\nSupport multiple parallel model deployments with native Kubernetes support.<\/li>\n<li>\nReduce the infrastructure cost of deploying frontier and large-context models.<\/li>\n<li>\nTarget up to 65% lower deployment cost and 50% lower power consumption.<\/li>\n<\/ul><p>\n<b>Optimized for AI Inference<\/b><\/p><p>\nThis solution is designed for AI inference, where infrastructure efficiency directly impacts deployment cost and business value. By pooling and sharing AMD Instinct GPUs over Liqid\u2019s fabric, customers optimize the metrics that matter most:<\/p><ul class=\"bwlistdisc\">\n<li>\n<b>Up to 3.7x higher tokens per second <\/b>\u2014 significantly greater inference throughput than traditional servers.<\/li>\n<li>\n<b>Up to 2.1x more tokens per dollar <\/b>\u2014 generate up to two times more AI tokens from the same capital investment.<\/li>\n<li>\n<b>Up to 1.8x better tokens per watt <\/b>\u2014 double inference efficiency, cutting power consumed per generated token.<\/li>\n<\/ul><table cellspacing=\"0\" class=\"bwtablemarginb bwblockalignl bwwidth100\">\n<tr>\n<td class=\"bwpadl0 bwwidth20\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<strong>Key Metric<\/strong><\/p><\/td><td class=\"bwpadl0 bwwidth80\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<strong>Value<\/strong><\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth20\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nPerformance per kW<\/p><\/td><td class=\"bwpadl0 bwwidth80\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<strong>~3.14 PFLOPS\/kW<\/strong><\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth20\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nHBM per kW<\/p><\/td><td class=\"bwpadl0 bwwidth80\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<strong>~195 GB\/kW<\/strong><\/p><\/td><\/tr>\n<tr>\n<td class=\"bwpadl0 bwwidth20\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\nHBM per PFLOP<\/p><\/td><td class=\"bwpadl0 bwwidth80\" colspan=\"1\" rowspan=\"1\"><p class=\"bwcellpmargin\">\n<strong>~62 GB\/PFLOP<\/strong><\/p><\/td><\/tr>\n<\/table><p>\n<b>Memory Pooling Ready System<\/b><\/p><p>\nThe Liqid platform, powered by AMD, is designed to be CXL memory pooling ready, providing a future path to memory expansion and shared memory access across multiple servers. As CXL memory pooling and sharing mature, customers will be able to dynamically allocate terabytes of memory for KV cache and other memory-intensive AI workloads. Combined with large-scale GPU pooling, this next-generation architecture will support larger AI models, higher inference throughput, and significantly improved AI infrastructure economics, delivering unprecedented performance, efficiency, and scalability.<\/p><p>\n<b>Use Cases and Who It\u2019s For<\/b><\/p><p>\nBy combining AMD Instinct MI350P GPUs with Liqid's GPU pooling platform in this new solution, customers can scale AI infrastructure beyond traditional server limits to run larger models, more models per server, and deliver industry-leading inference economics. Key enterprise workloads include:<\/p><ul class=\"bwlistdisc\">\n<li>\n<b>Enterprise agentic assistants \u2014 <\/b>sales, HR, marketing, legal, and coding assistants running on-premises, where data stays private and costs stay predictable.<\/li>\n<li>\n<b>Retrieval-augmented generation (RAG) <\/b>and long-context inference that benefit from more than 4TB of HBM3E per system.<\/li>\n<li>\n<b>Scientific and technical workloads \u2014 <\/b>drug discovery, materials science, and mechanical design that need GPU capacity that flexes with demand.<\/li>\n<li>\n<b>Mixed model fleets <\/b>\u2014 small, medium, and large models served from one shared pool to enable higher model per server density.<\/li>\n<\/ul><p>\nThe platform is built for organizations deploying AI at scale, NeoCloud and AI service providers, enterprise AI teams, and high-performance computing and research institutions. Pairing AMD AI accelerators with Liqid\u2019s GPU pooling infrastructure allows customers to build flexible AI environments that adapt as workload demands change.<\/p><p>\nLiqid and AMD are committed to an open, scalable AI infrastructure platform that accelerates AI adoption while maximizing performance, efficiency, and return on investment. More detail on the companies\u2019 joint solutions will follow as development milestones are reached, and customer deployments begin.<\/p><p>\n<b>Additional Resources<\/b><\/p><p>\n<a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fliqid.com%2Fproducts%2Fultrastack-30-amd&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=Liqid+UltraStack+30+%26%238211%3B+AMD+MI350P&amp;index=2&amp;md5=2036f452f8cb14426a70a896e6e7720f\" rel=\"nofollow\" shape=\"rect\">Liqid UltraStack 30 \u2013 AMD MI350P<\/a><br\/><a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.liqid.com%2Fproducts%2Fliqid-matrix-software&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=Liqid+Matrix+Software&amp;index=3&amp;md5=e4ee88ec7230dbca5aff190e01d3afcf\" rel=\"nofollow\" shape=\"rect\">Liqid Matrix Software<\/a><br\/><a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.liqid.com%2Fproducts%2Fgpu-pooling-solutions&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=Liqid+GPU+Pooling+Solutions&amp;index=4&amp;md5=6415d266526596e1c5b1ac6c29cbebc5\" rel=\"nofollow\" shape=\"rect\">Liqid GPU Pooling Solutions<\/a><br\/><a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.liqid.com%2Fproducts%2Fmemory-pooling-solutions&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=Liqid+Memory+Pooling+Solutions&amp;index=5&amp;md5=932a647a8d66c6780a8724e13afb1aa1\" rel=\"nofollow\" shape=\"rect\">Liqid Memory Pooling Solutions<\/a><br\/>Connect with Liqid on <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=https%3A%2F%2Fwww.linkedin.com%2Fcompany%2Fliqid-inc&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=LinkedIn&amp;index=6&amp;md5=47fd08d0a4ac86b6e56268944825cd68\" rel=\"nofollow\" shape=\"rect\">LinkedIn<\/a><\/p><p>\n<b>About Liqid<\/b><\/p><p>\nLiqid is the global leader in software-defined memory and GPU pooling. Liqid builds flexible, high-performance, and efficient datacenter and edge solutions that deliver superior tokenomics. Liqid powers next-generation AI inference, KV cache, in-memory databases, VDI, virtualization, and HPC workloads. Liqid solutions are trusted by organizations across cloud service providers, financial services, higher education and research, healthcare, media and entertainment, and government and defense.<\/p><p>\nLiqid enables customers to manage, configure, reconfigure, and scale essential memory, compute, accelerators (GPU, DPU, TPU, FPGA), storage, and networking into physical bare-metal server systems in seconds. Liqid customers can optimize their IT infrastructure and achieve up to 100% memory and GPU utilization for maximum tokens per watt, tokens per dollar, and tokens per second. Learn more at <a  href=\"https:\/\/cts.businesswire.com\/ct\/CT?id=smartlink&amp;url=http%3A%2F%2Fwww.liqid.com&amp;esheet=54576163&amp;newsitemid=20260723526233&amp;lan=en-US&amp;anchor=www.liqid.com&amp;index=7&amp;md5=df50f3d89bcb01575aac54d6525ab165\" rel=\"nofollow\" shape=\"rect\">www.liqid.com<\/a>.<\/p><p>\nCopyright \u00a9 2026 Liqid, Inc. All Rights Reserved. Liqid and Liqid Matrix are registered trademarks of Liqid, Inc. Other trademarks may be trademarks of their respective owners.<\/p><p>\n<i>Performance figures referenced for the AMD Instinct MI350P are based on AMD published specifications and engineering projections as of April\u2013May 2026 and are subject to change. Liqid solution metrics are targets based on internal projections and may vary by configuration and workload. AMD, the AMD Arrow logo, AMD Instinct, CDNA, EPYC, ROCm, and combinations thereof are trademarks of Advanced Micro Devices, Inc. PCIe is a registered trademark of PCI-SIG Corporation.<\/i><\/p><br\/> <b>Contacts<\/b> <br\/><p>\nMedia Contact:\n<br\/>Joe Vukson, Liqid\n<br\/><a  href=\"mailto:joe.vukson@liqid.com\" rel=\"nofollow\" shape=\"rect\">joe.vukson@liqid.com<\/a><br\/>303-500-1551<\/p>","protected":false},"excerpt":{"rendered":"<p>Solution combines up to 30x AMD Instinct MI350P GPUs with Liqid&rsquo;s GPU pooling platform, to deliver breakthrough AI inference performance and efficiency.WESTMINSTER, Colo.&#8211;(BUSINESS WIRE)&#8211;#aiinfrastructure&#8211;Liqid\u00ae (www.liqid.com), the global leader i&#8230;<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-43903","post","type-post","status-publish","format-standard","hentry","category-infos-businesswire"],"_links":{"self":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/43903","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=43903"}],"version-history":[{"count":1,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/43903\/revisions"}],"predecessor-version":[{"id":43904,"href":"https:\/\/stocks-future.com\/index.php?rest_route=\/wp\/v2\/posts\/43903\/revisions\/43904"}],"wp:attachment":[{"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=43903"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=43903"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/stocks-future.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=43903"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}