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data-p="%.@."cloudblog","products/identity-security/expanding-confidential-computing-for-ai-workloads-next24","en"]" data-node-index="0;0" jsmodel="hc6Ubd" view c-wiz data-ogpc><div class="T4LgNb " jsname="a9kxte"><div jsname="qJTHM" class="kFwPee"><article class="nRhiJb-qJTHM" jsaction="rcuQ6b:npT2md" jscontroller="kxO7ab"><section class="nRhiJb-DARUcf"><div class="Wdmc0c nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c nRhiJb-BFbNVe-r8s4j-bMElCd dIsJJe" track-name="security & identity"track-type="tag">Security & Identity</div><div class="nRhiJb-ObfsIf"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-R6PoUb"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-EehZO nRhiJb-fmcmS-oXtfBe"><h1 class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><div class="Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-ibL1re"><span class="FewWi"></span>Expanded Confidential Computing portfolio and introducing Confidential Accelerators for AI workloads</div></h1></div></div><div class="nRhiJb-fmcmS-oXtfBe dEogG">April 11, 2024</div></div></section><div class="EKklye"><div class="nRhiJb-DARUcf ZWw7T"><div class="npzWPc"><div class="dzoHJ"><div class="nRhiJb-DX2B6 nRhiJb-DX2B6-OWXEXe-h30Snd"><div class="nRhiJb-j5y3u"><ul class="nRhiJb-Qijihe phRaUe" role="list"><li class="hpHPGf"><a class="nRhiJb-ARYxNe" href="https://x.com/intent/tweet?text=Expanded%20Confidential%20Computing%20portfolio%20and%20introducing%20Confidential%20Accelerators%20for%20AI%20workloads%20@googlecloud&url=https://cloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24" track-name="x"track-type="social share"track-metadata-eventdetail="x.com/intent/tweet?text=Expanded Confidential Computing portfolio and introducing Confidential Accelerators for AI workloads%20@googlecloud&url=cloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24"track-metadata-module="social icons" target="_blank" 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workloads&body=Check%20out%20this%20article%20on%20the%20Cloud%20Blog:%0A%0AExpanded Confidential Computing portfolio and introducing Confidential Accelerators for AI workloads%0A%0AAt Next ‘24, we’re announcing advancements in our Confidential Computing solutions that expand hardware options, add additional support for AI workloads, and further expand our partnerships.%0A%0Acloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24"track-metadata-module="social icons" target="_blank" rel="noopener"><svg class="nRhiJb-Bz112c nRhiJb-Bz112c-OWXEXe-DX2B6 nRhiJb-Bz112c-OWXEXe-nSuQf" viewBox="0 0 24 24" role="presentation" aria-hidden="true" role="presentation" aria-hidden="true"><path d="M20 4H4c-1.1 0-2 .9-2 2v12c0 1.1.9 2 2 2h16c1.1 0 2-.9 2-2V6c0-1.1-.9-2-2-2zm-.8 2L12 10.8 4.8 6h14.4zM4 18V7.87l8 5.33 8-5.33V18H4z"></path></svg></a></li></ul></div></div></div></div></div><div><section class="nRhiJb-RWrDld WWjeSb"><div class="nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><div class="nRhiJb-DARUcf"><div class="VI2oYd"><section class="PBkdHd "><img class=" rFf1Dd" src="https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg" alt="https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg" loading="lazy"/></section></div></div></div></section><section class="nRhiJb-DARUcf"><div class="nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-wNfPc-cGMI2b"><section class="DA9Qj nRhiJb-ObfsIf nRhiJb-fmcmS-oXtfBe"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re"></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Sam Lugani</h5><p class="nRhiJb-qJTHM khCp7b">Product Lead, Confidential Computing & Confidential AI</p></div><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-II5mzb kWSSdd"><h5 class="cHE8Ub Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-qWD73c">Nelly Porter</h5><p class="nRhiJb-qJTHM khCp7b">Director, Product Management, Google Cloud</p></div></section></div></section><div class="nRhiJb-DARUcf"><div class="nRhiJb-ObfsIf nRhiJb-DbgRPb-wNfPc-ma6Yeb nRhiJb-DbgRPb-qWD73c-cGMI2b"><div class="nRhiJb-kR0ZEf-OWXEXe-GV1x9e-ibL1re dzoHJ"><div class="aLW4J" track-metadata-module="left rail"><h5 class="qZDXV Qwf2Db-MnozTc Qwf2Db-MnozTc-OWXEXe-MnozTc-wNfPc">Try Gemini 1.5 models</h5><p class="nRhiJb-cHYyed Mrfygc nRhiJb-BP2Omd-ma6Yeb-KE6vqe nRhiJb-DbgRPb-R6PoUb-cGMI2b">Google's most advanced multimodal models in Vertex AI</p><a class="nRhiJb-LgbsSe nRhiJb-LgbsSe-OWXEXe-CNusmb-o6Shpd " href="https://console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text" track-metadata-module="left rail"track-metadata-module_headline="try gemini 15 models" track-name="try it"track-type="button"track-metadata-position="cta"track-metadata-eventdetail="console.cloud.google.com/freetrial/?redirectPath=/vertex-ai/generative/multimodal/create/text">Try it </a></div></div><div class="OYL9D nRhiJb-kR0ZEf-OWXEXe-GV1x9e-OiUrBf" jsname="tx2NYc"><section class="Wy08Ac nRhiJb-qJTHM-OWXEXe-hJDwNd nRhiJb-DbgRPb-II5mzb-cGMI2b"><span class="dQQu7c" jsaction="rcuQ6b:npT2md" jscontroller="YSybTb" data-track-type="" soy-skip ssk='5:kbe95'><p><em><strong>Editor’s note</strong>: As of June 2024, Confidential VM with AMD SEV-SNP is generally available on the general purpose N2D machine series. As of September 2024, Confidential VM with Intel TDX and Intel AMX is generally available on the general purpose C3 machine series. As of October 2024, Confidential VM with NVIDIA H100 GPU is in preview on the accelerator optimized A3 machines series.</em></p> <hr> <p><a href="https://cloud.google.com/security/products/confidential-computing"><span style="text-decoration:underline;vertical-align:baseline">Confidential Computing</span></a><span style="vertical-align:baseline"> can help organizations process sensitive data in the cloud with strong guarantees around confidentiality. We’ve continued to make strides in maturing this important technology, and are collaborating with industry leaders including Intel, AMD, and NVIDIA on advancing Confidential Computing solutions. </span></p> <p><span style="vertical-align:baseline">Today at Google Cloud Next, we are excited to announce advancements in our Confidential Computing solutions that expand hardware options, add support for data migrations, and further broaden the partnerships that have helped establish Confidential Computing as a vital solution for data security and confidentiality. </span></p> <h3><strong style="vertical-align:baseline">Confidential VMs with Intel TDX and built-in accelerator with AMX </strong></h3> <p><span style="vertical-align:baseline">We are excited to unveil the preview of Intel Trust Domain Extensions (TDX) for Confidential Computing. Intel TDX offers a new level of hardware-based confidentiality, integrity, and isolation for virtual machines, offering enhanced protection for your most sensitive data and applications. </span></p> <p><span style="vertical-align:baseline">“Intel’s collaboration with Google Cloud on Confidential Computing helps organizations strengthen their data privacy, workload security and compliance in the cloud, especially with sensitive or regulated data,” said Anand Pashupathy, vice president and general manager, security software and services division, Intel. “Google Cloud’s new C3 instances and Confidential Spaces solution enable organizations to easily port their workloads to a confidential environment and collaborate with partners on joint analyses while keeping their data private.”</span></p> <p><span style="vertical-align:baseline">Confidential VMs on the new C3 virtual machines series use 4th Gen Intel Xeon Scalable CPUs and leverage Intel Trust Domain Extensions (Intel TDX) technology. They work with Intel AMX, a new built-in accelerator that helps improve the performance of deep-learning training and inference on the CPU. They’re also ideal for workloads like natural-language processing, recommendation systems, and image recognition. </span></p> <p><span style="vertical-align:baseline">Our customers can now explore the benefits of Confidential Computing on Intel TDX and AMX and provide feedback as we continue to refine this </span><a href="https://cloud.google.com/blog/products/identity-security/rsa-confidential-computing-transforming-cloud-security"><span style="text-decoration:underline;vertical-align:baseline">groundbreaking technology</span></a><span style="vertical-align:baseline">. </span></p> <p><span style="vertical-align:baseline">“Utilizing Google Cloud's C3 VMs equipped with Intel TDX has empowered Edgeless Systems to further enhance our Constellation and Contrast solutions. The inclusion of Intel TDX now offers our customers greater choice and flexibility, ensuring they have access to the latest in Confidential Computing hardware options,” said Moritz Eckert, chief architect, Edgeless Systems.</span></p> <h3><strong style="vertical-align:baseline">Confidential VMs on N2D machine series with AMD SEV-SNP in preview</strong></h3> <p><span style="vertical-align:baseline">Confidential VMs on general purpose N2D machine series with </span><a href="https://cloud.google.com/blog/products/identity-security/rsa-snp-vm-more-confidential"><span style="text-decoration:underline;vertical-align:baseline">AMD Secure Encrypted Virtualization-Secure Nested Paging</span></a><span style="vertical-align:baseline"> (SEV-SNP) are also now in preview. AMD SEV-SNP is the latest Confidential Computing technology from AMD. It builds upon AMD SEV and its security features data and memory confidentiality, and adds strong memory integrity protection to help prevent malicious hypervisor-based attacks like data replay, memory remapping, and others. Confidential VMs with AMD SEV-SNP technology can help keep your most sensitive data protected end to end in the cloud with remote attestation.</span></p> <h3><strong style="vertical-align:baseline">Live migration support for Confidential VMs now generally available</strong></h3> <p><span style="vertical-align:baseline">Live Migration for Confidential VMs can allow customers to use Confidential Computing technology with their long-lived workloads. It can minimize downtime from host maintenance events while preserving in-use protection. </span><a href="https://cloud.google.com/compute/docs/instances/live-migration-process"><span style="text-decoration:underline;vertical-align:baseline">Live Migration on Confidential VMs</span></a><span style="vertical-align:baseline"> is now in general availability on N2D machine series across all regions. </span></p> <h3><strong style="vertical-align:baseline">Introducing Confidential VMs with NVIDIA H100 Tensor Core GPUs for AI Workloads</strong></h3> <p><span style="vertical-align:baseline">Expanding our capabilities for secure computation, we're excited to unveil Confidential VMs on the </span><a href="https://cloud.google.com/compute/docs/accelerator-optimized-machines#a3-vms"><span style="text-decoration:underline;vertical-align:baseline">A3 machine series</span></a><span style="vertical-align:baseline"> with </span><a href="https://www.nvidia.com/en-us/data-center/h100/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">NVIDIA Tensor Core H100</span></a><span style="vertical-align:baseline"> GPUs</span><a href="https://www.nvidia.com/en-us/data-center/h100/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline"> GPUs</span></a><span style="vertical-align:baseline">. This offering extends hardware-based data and model protection with confidentiality, integrity, and isolation from the CPU to GPUs, enabling accelerated workloads critical to AI, machine learning, and scientific simulations. </span><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">NVIDIA </span><span style="vertical-align:baseline">Confidential Computing</span></a><span style="vertical-align:baseline"> on H100 GPUs </span><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" rel="noopener" target="_blank"><span style="vertical-align:baseline"> </span></a><span style="vertical-align:baseline">allows customers to secure data while in use, and protect their most valuable AI workloads while accessing the power of GPU-accelerated computing, provides the additional advantage of performant GPUs to protect their most valuable workloads , no longer requiring them to choose between security and performance — with NVIDIA and Google, they can have the benefit of both.</span></p> <p><span style="vertical-align:baseline">Confidential VMs on A3 VMs offer NVIDIA H100 GPUs with </span><a href="https://www.nvidia.com/en-us/data-center/hgx/" rel="noopener" target="_blank"><span style="text-decoration:underline;vertical-align:baseline">NVIDIA HGX</span></a><span style="vertical-align:baseline"> Protected PCIe can help ensure that sensitive code, AI models, and data remain protected even during compute-intensive operations. Accelerator-optimized A3 machine series with NVIDIA H100 GPUs will offer Confidential VMs in private preview later this year.</span></p> <p><span style="vertical-align:baseline">“The Confidential VM A3 powered by NVIDIA HGX H100 with Protected PCIe will help power a new era of business innovation driven by generative AI insights in the most performant and secure way.”—Daniel Rohrer, Vice President of Product Security at NVIDIA</span></p> <h3><strong style="vertical-align:baseline">Establishing key partnerships</strong></h3> <p><span style="vertical-align:baseline">We remain committed to fostering a collaborative ecosystem for Confidential Computing. We've expanded our partnerships with leading industry organizations, including chipmakers, cloud providers, and software vendors. These collaborations are instrumental in accelerating the development and adoption of Confidential Computing solutions, ultimately benefiting the entire cloud security landscape.</span></p> <p><span style="vertical-align:baseline">“As more enterprises migrate their data and workloads to the cloud, there is an increasing demand to safeguard the privacy and integrity of data, especially sensitive workloads, intellectual property, AI models and information of value. This collaboration enables enterprises to protect and control their data at rest, in transit and in use with fully verifiable attestation. Our close collaboration with Google Cloud and Intel increases our customers' trust in their cloud migration,” said Todd Moore, vice president, data security products, Thales.</span></p> <p><span style="vertical-align:baseline">By continuously innovating and collaborating, we're committed to making Confidential Computing the cornerstone of a secure and thriving cloud ecosystem. We invite you to explore our latest offerings and embark on your journey towards a future of secure and confidential cloud computing</span></p></span></section><section class="kcBhad"><section class="Fabbec"><span class="WrMNjb">Posted in</span><ul class="FzXI4e"><li class="I4B51b"><a href="https://cloud.google.com/blog/products/identity-security" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/products/identity-security"track-metadata-module="tag list"track-metadata-module_headline="posted in">Security & Identity</a></li><li class="I4B51b"><a href="https://cloud.google.com/blog/topics/google-cloud-next" track-metadata-position="body"track-metadata-eventdetail="cloud.google.com/blog/topics/google-cloud-next"track-metadata-module="tag list"track-metadata-module_headline="posted in">Google Cloud Next</a></li></ul></section></section></div></div></div></div></div><section class="nRhiJb-DARUcf " track-metadata-module="related articles" 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additional support for AI workloads, and further expand our partnerships.",[1712790000],"https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg","https://cloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24",[1712790043,667473000]],[["Sam Lugani","Product Lead, Confidential Computing \u0026 Confidential AI"],["Nelly Porter","Director, Product Management, Google Cloud"]],[null,"\u003cscript type\u003d\"application/ld+json\"\u003e{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"@id\":\"https://cloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24\",\"headline\":\"Next \u201824: Expanding Confidential Computing for AI workloads\",\"description\":\"At Next \u201824, we\u2019re announcing advancements in our Confidential Computing solutions that expand hardware options, add additional support for AI workloads, and further expand our partnerships.\",\"image\":\"https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg\",\"author\":[{\"@type\":\"Person\",\"name\":\"Sam Lugani\",\"url\":\"\"},{\"@type\":\"Person\",\"name\":\"Nelly Porter\",\"url\":\"\"}],\"datePublished\":\"2024-04-10\",\"publisher\":{\"@type\":\"Organization\",\"name\":\"Google Cloud\",\"logo\":{\"@type\":\"ImageObject\",\"url\":\"https://www.gstatic.com/devrel-devsite/prod/v8bb8fa0afe9a8c3a776ebeb25d421bb443344d789b3607754dfabea418b8c4be/cloud/images/cloud-logo.svg\"}},\"url\":\"https://cloud.google.com/blog/products/identity-security/expanding-confidential-computing-for-ai-workloads-next24\",\"keywords\":[\"Security \\u0026 Identity\",\"Google Cloud Next\"],\"timeRequired\":\"PT5M\"}\u003c/script\u003e"],["Expanded Confidential Computing portfolio and introducing Confidential Accelerators for AI workloads"],["https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-1300x1300.jpg 1288w, https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg 2436w"," 1288px, 2436px","https://storage.googleapis.com/gweb-cloudblog-publish/images/Next24_Blog_blank_2-08.max-2500x2500.jpg"],null,[[null,null,[null,[null,"\u003cp\u003e\u003cem\u003e\u003cstrong\u003eEditor\u2019s note\u003c/strong\u003e: As of June 2024, Confidential VM with AMD SEV-SNP is generally available on the general purpose N2D machine series. As of September 2024, Confidential VM with Intel TDX and Intel AMX is generally available on the general purpose C3 machine series. As of October 2024, Confidential VM with NVIDIA H100 GPU is in preview on the accelerator optimized A3 machines series.\u003c/em\u003e\u003c/p\u003e\n\u003chr\u003e\n\u003cp\u003e\u003ca href\u003d\"https://cloud.google.com/security/products/confidential-computing\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eConfidential Computing\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e can help organizations process sensitive data in the cloud with strong guarantees around confidentiality. We\u2019ve continued to make strides in maturing this important technology, and are collaborating with industry leaders including Intel, AMD, and NVIDIA on advancing Confidential Computing solutions.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eToday at Google Cloud Next, we are excited to announce advancements in our Confidential Computing solutions that expand hardware options, add support for data migrations, and further broaden the partnerships that have helped establish Confidential Computing as a vital solution for data security and confidentiality.\u00a0\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eConfidential VMs with Intel TDX and built-in accelerator with AMX\u00a0\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe are excited to unveil the preview of Intel Trust Domain Extensions (TDX) for Confidential Computing. Intel TDX offers a new level of hardware-based confidentiality, integrity, and isolation for virtual machines, offering enhanced protection for your most sensitive data and applications.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cIntel\u2019s collaboration with Google Cloud on Confidential Computing helps organizations strengthen their data privacy, workload security and compliance in the cloud, especially with sensitive or regulated data,\u201d said Anand Pashupathy, vice president and general manager, security software and services division, Intel. \u201cGoogle Cloud\u2019s new C3 instances and Confidential Spaces solution enable organizations to easily port their workloads to a confidential environment and collaborate with partners on joint analyses while keeping their data private.\u201d\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eConfidential VMs on the new C3 virtual machines series use 4th Gen Intel Xeon Scalable CPUs and leverage Intel Trust Domain Extensions (Intel TDX) technology. They work with Intel AMX, a new built-in accelerator that helps improve the performance of deep-learning training and inference on the CPU. They\u2019re also ideal for workloads like natural-language processing, recommendation systems, and image recognition.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eOur customers can now explore the benefits of Confidential Computing on Intel TDX and AMX and provide feedback as we continue to refine this \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/blog/products/identity-security/rsa-confidential-computing-transforming-cloud-security\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003egroundbreaking technology\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cUtilizing Google Cloud's C3 VMs equipped with Intel TDX has empowered Edgeless Systems to further enhance our Constellation and Contrast solutions. The inclusion of Intel TDX now offers our customers greater choice and flexibility, ensuring they have access to the latest in Confidential Computing hardware options,\u201d said Moritz Eckert, chief architect, Edgeless Systems.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eConfidential VMs on N2D machine series with AMD SEV-SNP in preview\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eConfidential VMs on general purpose N2D machine series with \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/blog/products/identity-security/rsa-snp-vm-more-confidential\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eAMD Secure Encrypted Virtualization-Secure Nested Paging\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e (SEV-SNP) are also now in preview. AMD SEV-SNP is the latest Confidential Computing technology from AMD. It builds upon AMD SEV and its security features data and memory confidentiality, and adds strong memory integrity protection to help prevent malicious hypervisor-based attacks like data replay, memory remapping, and others. Confidential VMs with AMD SEV-SNP technology can help keep your most sensitive data protected end to end in the cloud with remote attestation.\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eLive migration support for Confidential VMs now generally available\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eLive Migration for Confidential VMs can allow customers to use Confidential Computing technology with their long-lived workloads. It can minimize downtime from host maintenance events while preserving in-use protection. \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/compute/docs/instances/live-migration-process\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eLive Migration on Confidential VMs\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e is now in general availability on N2D machine series across all regions.\u00a0\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eIntroducing Confidential VMs with NVIDIA H100 Tensor Core GPUs for AI Workloads\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eExpanding our capabilities for secure computation, we're excited to unveil Confidential VMs on the \u003c/span\u003e\u003ca href\u003d\"https://cloud.google.com/compute/docs/accelerator-optimized-machines#a3-vms\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eA3 machine series\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e with \u003c/span\u003e\u003ca href\u003d\"https://www.nvidia.com/en-us/data-center/h100/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eNVIDIA Tensor Core H100\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e GPUs\u003c/span\u003e\u003ca href\u003d\"https://www.nvidia.com/en-us/data-center/h100/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003e GPUs\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e. This offering extends hardware-based data and model protection with confidentiality, integrity, and isolation from the CPU to GPUs, enabling accelerated workloads critical to AI, machine learning, and scientific simulations. \u003c/span\u003e\u003ca href\u003d\"https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eNVIDIA \u003c/span\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eConfidential Computing\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e on H100 GPUs \u003c/span\u003e\u003ca href\u003d\"https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u00a0\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eallows customers to secure data while in use, and protect their most valuable AI workloads while accessing the power of GPU-accelerated computing, provides the additional advantage of performant GPUs to protect their most valuable workloads , no longer requiring them to choose between security and performance \u2014 with NVIDIA and Google, they can have the benefit of both.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eConfidential VMs on A3 VMs offer NVIDIA H100 GPUs with \u003c/span\u003e\u003ca href\u003d\"https://www.nvidia.com/en-us/data-center/hgx/\" rel\u003d\"noopener\" target\u003d\"_blank\"\u003e\u003cspan style\u003d\"text-decoration:underline;vertical-align:baseline\"\u003eNVIDIA HGX\u003c/span\u003e\u003c/a\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e Protected PCIe can\u00a0 help ensure that sensitive code, AI models, and data remain protected even during compute-intensive operations. Accelerator-optimized A3 machine series with NVIDIA H100 GPUs will offer Confidential VMs in private preview later this year.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cThe Confidential VM A3 powered by NVIDIA HGX H100 with Protected PCIe will help power a new era of business innovation driven by generative AI insights in the most performant and secure way.\u201d\u2014Daniel Rohrer, Vice President of Product Security at NVIDIA\u003c/span\u003e\u003c/p\u003e\n\u003ch3\u003e\u003cstrong style\u003d\"vertical-align:baseline\"\u003eEstablishing key partnerships\u003c/strong\u003e\u003c/h3\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eWe remain committed to fostering a collaborative ecosystem for Confidential Computing. We've expanded our partnerships with leading industry organizations, including chipmakers, cloud providers, and software vendors. These collaborations are instrumental in accelerating the development and adoption of Confidential Computing solutions, ultimately benefiting the entire cloud security landscape.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003e\u201cAs more enterprises migrate their data and workloads to the cloud, there is an increasing demand to safeguard the privacy and integrity of data, especially sensitive workloads, intellectual property, AI models and information of value. This collaboration enables enterprises to protect and control their data at rest, in transit and in use with fully verifiable attestation. Our close collaboration with Google Cloud and Intel increases our customers' trust in their cloud migration,\u201d said Todd Moore, vice president, data security products, Thales.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style\u003d\"vertical-align:baseline\"\u003eBy continuously innovating and collaborating, we're committed to making Confidential Computing the cornerstone of a secure and thriving cloud ecosystem. We invite you to explore our latest offerings and embark on your journey towards a future of secure and confidential cloud computing\u003c/span\u003e\u003c/p\u003e"]]]],[["Security \u0026 Identity","Make IAM for GKE easier to use with Workload Identity Federation","Workload Identity Federation for GKE is now even easier to use with deeper IAM integration. Here\u2019s what you need to know.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg"],null,4,null,"https://cloud.google.com/blog/products/identity-security/make-iam-for-gke-easier-to-use-with-workload-identity-federation",null,1,[["Cynthia Thomas","Product Manager"],["Shaun Liu","Product Manager"]],null,"55618"],["Security \u0026 Identity","Shift-left your cloud compliance auditing with Audit Manager","Our Audit Manager service, which can digitize and help streamline the compliance auditing process, is now generally available.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/17_-_Security__Identity_NrORvDT.max-700x700.jpg"],null,4,null,"https://cloud.google.com/blog/products/identity-security/shift-left-your-cloud-compliance-auditing-with-audit-manager",null,1,[["Pratik Bhangale","Product Manager, Google Cloud"],["Elise Bailey","Cloud Program Manager, Google Cloud"]],null,"55583"],["Security \u0026 Identity","Cloud CISO Perspectives: The high security cost of legacy tech","A new Google survey shines a light onto the high security costs of legacy tech, explain Phil Venables and Andy Wen. Here\u2019s what you should know.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/Cloud_CISO_Perspectives_header_4_Blue.max-700x700.png","https://storage.googleapis.com/gweb-cloudblog-publish/images/Cloud_CISO_Perspectives_header_4_Blue.max-400x400.png 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/Cloud_CISO_Perspectives_header_4_Blue.max-700x700.png 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/Cloud_CISO_Perspectives_header_4_Blue.max-700x700.png"],null,6,null,"https://cloud.google.com/blog/products/identity-security/cloud-ciso-perspectives-the-high-security-cost-of-legacy-tech",null,1,[["Phil Venables","VP, TI Security \u0026 CISO, Google Cloud"],["Andy Wen","Director, Product Management, Workspace Security"]],null,"55571"],["Data Analytics","Secure your data ecosystem: a multi-layered approach with Google Cloud","A new ebook, Building a Secure Data Platform with Google Cloud, details the tools available to protect your data as you use it to grow your business.",["https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-400x400.jpg 324w, https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg 648w"," 324px, 648px","https://storage.googleapis.com/gweb-cloudblog-publish/images/09_-_Data_Analytics_tFH57V6.max-700x700.jpg"],null,3,null,"https://cloud.google.com/blog/products/data-analytics/learn-how-to-build-a-secure-data-platform-with-google-cloud-ebook",null,1,[["Nic Smith","Head of Product Marketing, Data \u0026 Analytics"],["Robert Sadowski","Director, Product Marketing, Security \u0026 Trust"]],null,"55573"]],null,"Security \u0026 Identity",["Try Gemini 1.5 models","Google's most advanced multimodal models in Vertex AI","Try it","https://console.cloud.google.com/freetrial/?redirectPath\u003d/vertex-ai/generative/multimodal/create/text"],[["Security \u0026 Identity","https://cloud.google.com/blog/products/identity-security","identity-security"],["Google Cloud Next","https://cloud.google.com/blog/topics/google-cloud-next","next"]],null,null,5], sideChannel: {}});</script><script id="wiz_jd" nonce="J2yur5y_LTuzzwTahhMzKA">if (window['_wjdc']) {const wjd = {}; window['_wjdc'](wjd); delete window['_wjdc'];}</script><script aria-hidden="true" id="WIZ-footer" nonce="J2yur5y_LTuzzwTahhMzKA">window.wiz_progress&&window.wiz_progress(); window.stopScanForCss&&window.stopScanForCss(); ccTick('bl');</script></body></html><footer id="ZCHFDb"><footer class="nRhiJb-RWrDld nRhiJb-yePe5c QJnbF" jscontroller="NsSboe" track-metadata-module="footer"><h3 class="nRhiJb-VqCwd-L6cTce">Footer Links</h3><section class="nRhiJb-haF9Wb r2W5Od"><section class="nRhiJb-DX2B6"><div class="nRhiJb-j5y3u"><h4 class="nRhiJb-BkAck 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