{"id":250456,"date":"2024-11-28T16:10:07","date_gmt":"2024-11-28T15:10:07","guid":{"rendered":"https:\/\/raspberrypi.dk\/?post_type=product&#038;p=250456"},"modified":"2024-11-28T16:23:11","modified_gmt":"2024-11-28T15:23:11","slug":"compute-blade-tpm","status":"publish","type":"product","link":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/","title":{"rendered":"Compute Blade TPM"},"content":{"rendered":"<p>Getting started guide: <a href=\"https:\/\/www.youtube.com\/watch?v=2l90-AyoXls\">https:\/\/www.youtube.com\/watch?v=2l90-AyoXls<\/a><\/p>\n<h2><span class=\"fontstyle0\">Rack-mountable, PoE-powered carrier board\u00a0<\/span><span class=\"fontstyle0\">for Raspberry Pi Compute Module 4\/5 and compatible modules with all the necessary interfaces<\/span><\/h2>\n<p><span class=\"fontstyle0\">The Compute Blade, an Uptime Industries product, is a enterprise grade rack-mountable, PoE-powered\u00a0<strong>carrier board for Raspberry Pi Compute Module 4\/5<\/strong>\u00a0with all the necessary interfaces. With Compute Blade, you can create a high-density, low-power-consuming, plug-and-play blade server\u00a0<\/span><span class=\"fontstyle0\">for home or data-center use. The Compute Blades were designed to work 24\/7.<\/span><\/p>\n<p><span class=\"fontstyle0\">Create your high-density server with Compute Blade:\u00a0You can fit\u00a0<strong>up to 20 Compute Blades<\/strong>\u00a0into a\u00a0<strong>1U 19-inch rack space<\/strong>, which can add up to\u00a0<strong>80 ARM\u00a0<\/strong><\/span><span class=\"fontstyle0\"><strong>cores<\/strong>, <strong>320GB RAM<\/strong>, and\u00a0<strong>10TB of NVMe flash storage<\/strong>\u00a0depending on your configuration.\u00a0<\/span><\/p>\n<h2>Key Features<\/h2>\n<ul>\n<li><span class=\"fontstyle0\">Raspberry Pi CM4 and CM5 support<\/span><\/li>\n<li><span class=\"fontstyle0\">support for fan using PWM fan connector<\/span><\/li>\n<li><span class=\"fontstyle0\">supports NVMe SSDs up to 22110 (2230, 2242, 2260, 2280)<\/span><\/li>\n<li><span class=\"fontstyle0\">Power over Ethernet IEEE 802.3at (PoE+)<\/span><span class=\"fontstyle0\">\u00a0<\/span><\/li>\n<\/ul>\n<h3><span class=\"fontstyle0\">Interfaces<\/span><\/h3>\n<ul>\n<li><span class=\"fontstyle0\">Gigabit Ethernet<\/span><\/li>\n<li>HDMI (up to 4k60) (Compute Blade TPM and Compute Blade Dev)<\/li>\n<li>UART0 on the front<\/li>\n<li>Uptime high speed module support<\/li>\n<li>USB-A, USB-C switchable USB input<\/li>\n<\/ul>\n<h3>Additional features:<\/h3>\n<ul>\n<li><span class=\"fontstyle0\">TPM 2.0 secure boot (<span style=\"font-size: 0.875rem;\">Compute Blade TPM and Compute Blade Dev<\/span>)<\/span><\/li>\n<li><span class=\"fontstyle0\">WiFi, BT and EEPROM write-protection (WiFi + BT require CM4\/5 with WiFi \/ BT support, only on Compute Blade Dev)\u00a0<\/span><\/li>\n<li><span class=\"fontstyle0\">Controllable RGB LEDs<\/span><\/li>\n<\/ul>\n<p>A\u00a0<a href=\"https:\/\/raspberrypi.dk\/webshop\/kategori\/raspberry-pi-compute-module-4-cm4\/\">Compute Module (CM4)<\/a> or <a href=\"https:\/\/raspberrypi.dk\/webshop\/kategori\/raspberry-pi-compute-module-5-cm5\/\">Compute Module 5 (CM5)<\/a> is required to use this device, and is sold separately. The compute modules and other accessories shown in the images are shown for illustration purposes.<\/p>\n<p>We offer a variety of models in our shop, for the operation of the Compute Blade we recommend a Compute Module 4 with the maximum amount of RAM (<strong>8GB<\/strong>), for example\u00a0<a href=\"https:\/\/raspberrypi.dk\/produkt\/cm4108032-sc0678\">CM4108032<\/a>.<\/p>\n<p><img decoding=\"async\" style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/compute-blade-specifications.jpg?v=1711369426\" alt=\"\" width=\"750\" height=\"256\" \/><\/p>\n<h2>Specifications<\/h2>\n<p>&nbsp;<\/p>\n<div class=\"table-wrapper\">\n<table>\n<tbody>\n<tr>\n<th>Compatibility<\/th>\n<td>Raspberry Pi Compute Module 4 \/ 4 Lite<br \/>\nRaspberry Pi Compute Module 5 \/ 5 Lite<br \/>\nRaspberry Pi Compute Module 4 Compatible Boards<br \/>\nRaspberry Pi Compute Module 5 Compatible Boards<\/td>\n<\/tr>\n<tr>\n<th>Storage<\/th>\n<td>M.2 NVMe up to 22110<br \/>\nMicro SD<\/td>\n<\/tr>\n<tr>\n<th>Networking<\/th>\n<td>Gigabit Ethernet<br \/>\n(Wi-Fi on some CM4\/CM5 models, not recommended in rack usage)<\/td>\n<\/tr>\n<tr>\n<th>GPIO<\/th>\n<td>2 x UART<br \/>\n7 x User Controllable GPIO including I2C<br \/>\nFan Unit Connector<br \/>\nProgrammable Button<br \/>\n2 x Controllable RGB LEDs<\/td>\n<\/tr>\n<tr>\n<th>Operating Voltage<\/th>\n<td>5V &#8211; USB C<br \/>\n5.1V &#8211; Power over Ethernet IEEE 802.3at (PoE+) up to 30W @5.1V<\/td>\n<\/tr>\n<tr>\n<th>Input Power (Normal Operation)<\/th>\n<td>2 &#8211; 8W<\/td>\n<\/tr>\n<tr>\n<th>Ports<\/th>\n<td>HDMI (4K60)<br \/>\nUSB A<br \/>\nUSB C<\/td>\n<\/tr>\n<tr>\n<th>Security<\/th>\n<td>TPM 2.0<br \/>\nHardware switchable Wi-Fi, Bluetooth and EEPROM write-protection<br \/>\nSupport for ZYMKEY 4i, Security Keys<\/td>\n<\/tr>\n<tr>\n<th>Dimensions<\/th>\n<td>42.5 x 250 x 17.5 mm<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>&nbsp;<\/p>\n<h2>Accessories for the Compute Blade platform<\/h2>\n<p>The Compute Blade platform is a product family, consisting of products optimized to work with each other:<\/p>\n<ul>\n<li><a href=\"https:\/\/raspberrypi.dk\/produkt\/compute-blade-dev\/\"><strong>Compute Blade<\/strong><\/a> (this product), compatible with Raspberry Pi Compute Module CM4 \/ CM5<\/li>\n<li><strong><a href=\"https:\/\/raspberrypi.dk\/produkt\/fan-unit-smart-til-compute-blade\/\">Compute Blade Fan Unit<\/a><\/strong>\u00a0(Basic Fan Unit &amp; Smart Fan Unit versions) &#8211; one fan unit cools two compute blades.<\/li>\n<li><a href=\"https:\/\/raspberrypi.dk\/produkt\/heat-sink-red-til-compute-blade\/\"><strong>Compute Blade Heatsink<\/strong><\/a>\u00a0&#8211; available in black, red, blue<\/li>\n<li><a href=\"https:\/\/raspberrypi.dk\/produkt\/bladerunner-19inch\/\"><strong>BladeRunner Compute Blade Enclosures<\/strong><\/a>\u00a0&#8211; available in a 19&raquo;-rack mountable version, and a <a href=\"https:\/\/raspberrypi.dk\/produkt\/bladerunner-4-node\/\">4-unit housing version<\/a><\/li>\n<li>(coming soon):\u00a0<strong>AI accelerator module<\/strong>, adds two Coral TPUs to the compute blade<\/li>\n<li>(coming soon):\u00a0<strong>BladeCluster Pro<\/strong>\u00a0and\u00a0<strong>BladeCluster ProSW<\/strong>\u00a0&#8211; fully assembled 19&raquo; 1U metal racks, including compute modules and software (ProSW only)<\/li>\n<\/ul>\n<h2>Advantages of the Compute Blade platform<\/h2>\n<p><span class=\"fontstyle0\">Unlike conventional blade servers, the Compute Blade system\u00a0<\/span><span class=\"fontstyle0\">eliminates a single point of failure as it doesn&#8217;t rely on a server platform. While it still uses a PoE network switch (also necessary for blade servers), switches are simpler to replace or keep as spares compared to entire server platforms. Network\u00a0<\/span><span class=\"fontstyle0\">equipment typically boasts high reliability.<\/span><\/p>\n<p><span class=\"fontstyle0\">Individual blades can be rebooted or power-cycled by momentarily disabling their switch port power. Thanks to the CM4\/5&#8217;s network boot feature, reprovisioning and system rescue are straightforward. Each blade is compact and devoid of moving parts.<\/span><\/p>\n<p><span class=\"fontstyle0\"><em>Note: the optional fans which are recommended for high loads of course include moving parts<\/em><\/span><\/p>\n<p><img decoding=\"async\" style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/ComputeBlade_Product_10_696269c1-bb4c-415c-b1fd-0f5eb939d695.jpg?v=1711372352\" alt=\"\" width=\"500\" height=\"375\" \/><\/p>\n<h2>Versions<\/h2>\n<p>The Compute Blade is available in three different versions:<\/p>\n<ul>\n<li>The\u00a0<strong>Compute Blade Basic<\/strong>\u00a0is intended for scaling your cluster environment. It contains only the necessary components for an enterprise grade worker node. This is also the most affordable version of the Compute Blade.<\/li>\n<li><strong>Compute Blade TPM<\/strong>: Adds a TPM 2.0 for advanced security<\/li>\n<li><strong>Compute Blade Dev:<\/strong>\u00a0Recommended as master node, and for development and homelab environments.<\/li>\n<\/ul>\n<div class=\"table-wrapper\">\n<table style=\"width: 100%; height: 344px;\" width=\"100%\">\n<tbody>\n<tr>\n<td><strong>features\u00a0<\/strong><\/td>\n<td><strong>Compute Blade Basic<\/strong><\/td>\n<td><strong>Compute Blade TPM<\/strong><\/td>\n<td><strong>Compute Blade Dev<\/strong><\/td>\n<\/tr>\n<tr>\n<td>\u00a0Raspberry Pi CM4 and CM5 support<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>M.2 Key M up to 22110<br \/>\nfor NVMe disks or high-speed modules<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a01Gbit Ethernet with PoE up to 30 W<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0UART<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Compute Blade headers port<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Button<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Stealth mode<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Digital LEDs<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0USB-A<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0TPM 2.0 onboard<\/td>\n<td><\/td>\n<td>yes<\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>\u00a0HDMI port<\/td>\n<td><\/td>\n<td><\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>USB-C for bootloader update<\/td>\n<td><\/td>\n<td><\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>microSD card slot<\/td>\n<td><\/td>\n<td><\/td>\n<td>yes<\/td>\n<\/tr>\n<tr>\n<td>Wi-Fi, BT, nRPIBOOT<\/td>\n<td>locked<\/td>\n<td>locked<\/td>\n<td>switchable<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/ComputeBlade_Product_03.jpg?v=1710795318\" alt=\"\" width=\"500\" height=\"500\" \/><\/p>\n<p><em>The image above shows the different options and extensions which the Compute Blade will support, amongst others, opening up a world of possibilities for your application.<\/em><\/p>\n<h2>Applications<\/h2>\n<p><strong><span class=\"fontstyle0\">Edge servers<\/span><\/strong><\/p>\n<p><span class=\"fontstyle0\">Reduce latency and extend compute power to make your processes leaner, more\u00a0<\/span><span class=\"fontstyle0\">efficient, and more cost-effective.<\/span><\/p>\n<p><strong><span class=\"fontstyle0\">CI\/CD systems and Automated tests<\/span><br \/>\n<\/strong><\/p>\n<p><span class=\"fontstyle0\">Perform performance tests on dedicated hardware for far more stable results than running tests on virtual machines.<\/span><strong><br \/>\n<\/strong><\/p>\n<p><span class=\"fontstyle0\"><strong>Stateless Computing<\/strong><br \/>\n<\/span><\/p>\n<p><span class=\"fontstyle0\">Seamlessly deploy specialized stateless computing platforms, such as OpenFaaS, onto the\u00a0<\/span><span class=\"fontstyle0\">blades to enhance functionality and performance.<br \/>\n<\/span><\/p>\n<p><strong><span class=\"fontstyle0\">High Availability Computing<\/span><\/strong><\/p>\n<p><span class=\"fontstyle0\">Deploy robust, high-availability computing to maintain critical operations and services with\u00a0<\/span><span class=\"fontstyle0\">minimal downtime.<\/span><\/p>\n<p><span class=\"fontstyle0\"><strong>Education<\/strong><br \/>\n<\/span><\/p>\n<p><span class=\"fontstyle0\">Enhance educational experiences with practical, hands-on tech learning, facilitating\u00a0<\/span><span class=\"fontstyle0\">innovation and computing skills.<br \/>\n<\/span><\/p>\n<p><strong><span class=\"fontstyle0\">Private Cloud<\/span><\/strong><\/p>\n<p><span class=\"fontstyle0\">Create your own secure, scalable private cloud for efficient data management and tailored \u2028<\/span><span class=\"fontstyle0\">IT services.<\/span><\/p>\n<p><strong>Home Labs<\/strong><\/p>\n<p><span class=\"fontstyle0\">An enterprise-level homelab experience that you can use \u2028<\/span><span class=\"fontstyle0\">to build, play with, and explore new technologies<\/span><\/p>\n<p><strong><span class=\"fontstyle0\">Hosting provider<\/span><\/strong><\/p>\n<p><span class=\"fontstyle0\">Provide dedicated resources and isolate customer machines\u2028<\/span><span class=\"fontstyle0\">on a physical layer, to protect against modern CPU\/hypervisor exploits.<\/span><\/p>\n<p><strong><span class=\"fontstyle0\">Smart Homes<\/span><\/strong><\/p>\n<p><span class=\"fontstyle0\">Make your home server highly available and increase\u00a0<\/span><span class=\"fontstyle0\">the possibilities e.g by adding more modules like the Uptime AI-Module.<\/span><\/p>\n<p><img decoding=\"async\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/ComputeBlade_Product_07.jpg?v=1710795320\" alt=\"\" width=\"514\" height=\"386\" \/><\/p>\n<h2>Documentation<\/h2>\n<ul>\n<li><a href=\"https:\/\/docs.computeblade.com\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Documentation<\/a><\/li>\n<li><a href=\"https:\/\/docs.computeblade.com\/getting-started\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Getting started<\/a>\u00a0includes\u00a0<a href=\"https:\/\/docs.computeblade.com\/getting-started\/zero-to-ssh\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">From Zero to SSH<\/a><\/li>\n<li><a href=\"https:\/\/uplab.pro\/discord\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Discord<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Uptime-Lab\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">GitHub<\/a><\/li>\n<li><a href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/Compute_Blade_DataSheet_01.pdf?v=1711370641\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Data sheet<\/a><\/li>\n<li><a href=\"https:\/\/docs.computeblade.com\/models\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">3D Models\u00a0<\/a><\/li>\n<\/ul>\n<h2><strong>FAQ<\/strong><\/h2>\n<p><strong>What is a blade server?<\/strong><\/p>\n<p>A blade server is a compact, self-contained computer server, specifically designed to minimize the use of physical space and energy. Unlike traditional rack-mount servers, which are standalone servers that require individual components such as network and storage interfaces, blade servers are housed in a chassis that provides these resources collectively. This setup allows for a high density of servers, which can share power, cooling, networking, and storage facilities provided by the chassis.<\/p>\n<p>Blade servers are particularly suitable for environments requiring high compute density without the need for a lot of individual storage, like web hosting, virtualization, and cloud computing services.<\/p>\n<p><strong>Where can I find out more about Uptime Industries, what is their story?\u00a0<\/strong><\/p>\n<p><span class=\"fontstyle0\">Uptime Industries was founded in April 2023 by Ivan Kuleshov and Sascha B\u00fchrle following\u00a0a successful Kickstarter campaign \u201cCompute Blade:\u00a0<\/span><span class=\"fontstyle0\">Your Rack-Mountable ARM Cluster,\u201d\u00a0where the first 12,000 blades were sold and the community expanded.<\/span><\/p>\n<p><span class=\"fontstyle0\">Based on community requests, Uptime Industries decided in early 2024 to extend the Compute Blade platform with multiple modules and accessories, besides working on its own software products for a holistic Compute Blade experience, innovating in the cluster computing space.<\/span><\/p>\n<p><span class=\"fontstyle0\">During the same time,\u00a0<\/span><span class=\"fontstyle0\">a well-recognized VC, TrueVentures, joined forces to expand and scale the Compute Blade platform rapidly besides developing an upcoming edgeAI focused product line.\u00a0<\/span><\/p>\n<p>You can find out more about Uptime Industries on their homepage:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.computeblade.com\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">www.computeblade.com<\/a><\/li>\n<li><a href=\"https:\/\/www.uptime.industries\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">www.uptime.industries<\/a><\/li>\n<li><a href=\"https:\/\/www.uptime.industries\/legal\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">www.uptime.industries\/legal<\/a><\/li>\n<\/ul>\n<p><strong>How does the Compute Blade contribute to energy savings and sustainability?<\/strong><\/p>\n<p>The Compute Blade is designed with energy efficiency at its core. Its low-power ARM cores and PoE+ capabilities allow you to scale your computing needs without the high energy costs typically associated with traditional servers. This not only results in operational cost savings but also reduces your carbon footprint, contributing to a greener planet.<\/p>\n<p><strong>Can the Compute Blade be used for educational purposes?<\/strong><\/p>\n<p>Absolutely! The Compute Blade is an excellent tool for educational environments. It provides a tangible, hands-on experience for students learning about computing, networking, and hardware. With its modular design and safe, low-power operation, it&#8217;s perfect for classroom settings.<\/p>\n<p><strong>What support options are available for Compute Blade users?<\/strong><\/p>\n<p>Uptime Industries offers comprehensive support for all Compute Blade users. This includes an extensive online knowledge base, a user forum for community assistance, and direct customer service for more complex inquiries. Please refer to the following links to get started:<\/p>\n<ul>\n<li><a href=\"https:\/\/docs.computeblade.com\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Documentation<\/a><\/li>\n<li><a href=\"https:\/\/docs.computeblade.com\/getting-started\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Getting started<\/a>\u00a0includes\u00a0<a href=\"https:\/\/docs.computeblade.com\/getting-started\/zero-to-ssh\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">From Zero to SSH<\/a><\/li>\n<li><a href=\"https:\/\/uplab.pro\/discord\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Discord<\/a><\/li>\n<li><a href=\"https:\/\/github.com\/Uptime-Lab\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">GitHub<\/a><\/li>\n<li><a href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1560\/1473\/files\/Compute_Blade_DataSheet_01.pdf?v=1711370641\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">Data sheet<\/a><\/li>\n<li><a href=\"https:\/\/docs.computeblade.com\/models\/\" target=\"_blank\" rel=\"noopener\" aria-describedby=\"a11y-new-window-message\">3D Models\u00a0<\/a><\/li>\n<\/ul>\n<p><strong>How does Compute Blade ensure data security and privacy?<\/strong><\/p>\n<p>Security is paramount for Uptime Industries. The Compute Blade comes equipped with TPM 2.0 for hardware-based security (in the TPM and Dev versions), including secure boot processes and encryption key generation.<\/p>\n<p><strong>What are the upgrade options for the Compute Blade?<\/strong><\/p>\n<p>The Compute Blade is designed with future-proofing in mind. It supports various add-ons and modules, allowing you to expand storage, add AI co-processors, or enhance security features. You also have the option to choose \/ upgrade your compute modules to other CM4\/CM5 versions, in case, for example, your RAM requirements change.<\/p>\n<p><em>Please note: at this stage, CM5 is not publicly available, therefore CM5 compatibility can&#8217;t be guaranteed.\u00a0<\/em><\/p>\n<p><strong>What is a TPM?\u00a0<\/strong><\/p>\n<p>TPM stands for Trusted Platform Module. It is an industry standard module for secure storage and generation of encryption keys. Whereas software offers attack surfaces through algorithm changes (e.g. allowing a savvy attacker to brute-force a password), the TPM is designed to start increasing lock-out times under attack, thereby making it physically impossible to brute-force the password. It can also be used to verify that you are indeed talking to the device you want to be talking to, this way Man in the middle attacks can be mitigated.<\/p>\n<p>Note that these features also require software implementation, please check if a software implementation for your use case exists.<\/p>\n<p><strong>What advantages do PoE-powered computing solutions like the Compute Blade offer?<\/strong><\/p>\n<p>PoE-powered computing solutions, such as the Compute Blade, streamline power management and cable clutter, leading to cleaner installations and easier maintenance. This also translates to lower setup costs and increased reliability for both home and enterprise networks.<\/p>\n<p><strong>Are there specific Raspberry Pi server solutions that the Compute Blade supports?<\/strong> The Compute Blade is optimized for the Raspberry Pi Compute Module 4 and 5, supporting a range of configurations that cater to various applications, from educational platforms to robust data center innovations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Raspberry Pi CM4\/CM5 cluster compute carrier board, enterprise grade. Compute Blade TPM.<\/p>\n","protected":false},"featured_media":250566,"comment_status":"open","ping_status":"closed","template":"","meta":[],"product_brand":[],"product_cat":[613],"product_tag":[785,786],"class_list":{"0":"post-250456","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-industriell-raspberry-pi","7":"product_tag-cm4-no","8":"product_tag-cm5-no","10":"first","11":"outofstock","12":"taxable","13":"shipping-taxable","14":"purchasable","15":"product-type-simple"},"composite_virtual":false,"composite_layout":"","composite_add_to_cart_form_location":"","composite_editable_in_cart":false,"composite_sold_individually_context":"","composite_shop_price_calc":"","composite_components":[],"composite_scenarios":[],"bundled_by":["258703","258712"],"bundle_stock_status":"outofstock","bundle_stock_quantity":0,"bundle_virtual":false,"bundle_layout":"","bundle_add_to_cart_form_location":"","bundle_editable_in_cart":false,"bundle_sold_individually_context":"","bundle_item_grouping":"","bundle_min_size":"","bundle_max_size":"","bundle_price":[],"bundled_items":[],"bundle_sell_ids":[242076],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Compute Blade TPM \u2022 RaspberryPi.dk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Compute Blade TPM \u2022 RaspberryPi.dk\" \/>\n<meta property=\"og:description\" content=\"Raspberry Pi CM4\/CM5 cluster compute carrier board, enterprise grade. Compute Blade TPM.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/\" \/>\n<meta property=\"og:site_name\" content=\"RaspberryPi.dk\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/facebook.com\/RaspberryPiDanmark\" \/>\n<meta property=\"article:modified_time\" content=\"2024-11-28T15:23:11+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/05\/Dev-computeblade-top-view.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1201\" \/>\n\t<meta property=\"og:image:height\" content=\"1200\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@raspberrypidk\" \/>\n<meta name=\"twitter:label1\" content=\"Ansl. lesetid\" \/>\n\t<meta name=\"twitter:data1\" content=\"11 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/\",\"url\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/\",\"name\":\"Compute Blade TPM \u2022 RaspberryPi.dk\",\"isPartOf\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp\",\"datePublished\":\"2024-11-28T15:10:07+00:00\",\"dateModified\":\"2024-11-28T15:23:11+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#breadcrumb\"},\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage\",\"url\":\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp\",\"contentUrl\":\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp\",\"width\":1770,\"height\":362},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Hjem\",\"item\":\"https:\/\/raspberrypi.dk\/no\/raspberry-pi-nettbutikk\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Shop\",\"item\":\"https:\/\/raspberrypi.dk\/no\/shop-2\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Compute Blade TPM\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/#website\",\"url\":\"https:\/\/raspberrypi.dk\/no\/\",\"name\":\"RaspberryPi.dk\",\"description\":\"Danmarks f\u00f8rende Raspberry Pi side!\",\"publisher\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/raspberrypi.dk\/no\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"nb-NO\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/#organization\",\"name\":\"RaspberryPi.dk\",\"url\":\"https:\/\/raspberrypi.dk\/no\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\/\/raspberrypi.dk\/no\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2017\/05\/RaspberryPidk_logo-2.png\",\"contentUrl\":\"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2017\/05\/RaspberryPidk_logo-2.png\",\"width\":470,\"height\":110,\"caption\":\"RaspberryPi.dk\"},\"image\":{\"@id\":\"https:\/\/raspberrypi.dk\/no\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/facebook.com\/RaspberryPiDanmark\",\"https:\/\/x.com\/raspberrypidk\",\"https:\/\/instagram.com\/raspberrypi.dk\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Compute Blade TPM \u2022 RaspberryPi.dk","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/","og_locale":"nb_NO","og_type":"article","og_title":"Compute Blade TPM \u2022 RaspberryPi.dk","og_description":"Raspberry Pi CM4\/CM5 cluster compute carrier board, enterprise grade. Compute Blade TPM.","og_url":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/","og_site_name":"RaspberryPi.dk","article_publisher":"https:\/\/facebook.com\/RaspberryPiDanmark","article_modified_time":"2024-11-28T15:23:11+00:00","og_image":[{"width":1201,"height":1200,"url":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/05\/Dev-computeblade-top-view.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_site":"@raspberrypidk","twitter_misc":{"Ansl. lesetid":"11 minutter"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/","url":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/","name":"Compute Blade TPM \u2022 RaspberryPi.dk","isPartOf":{"@id":"https:\/\/raspberrypi.dk\/no\/#website"},"primaryImageOfPage":{"@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage"},"image":{"@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage"},"thumbnailUrl":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp","datePublished":"2024-11-28T15:10:07+00:00","dateModified":"2024-11-28T15:23:11+00:00","breadcrumb":{"@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#breadcrumb"},"inLanguage":"nb-NO","potentialAction":[{"@type":"ReadAction","target":["https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/"]}]},{"@type":"ImageObject","inLanguage":"nb-NO","@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#primaryimage","url":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp","contentUrl":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2024\/11\/compute-blade-tpm-mk4-k-tpm.webp","width":1770,"height":362},{"@type":"BreadcrumbList","@id":"https:\/\/raspberrypi.dk\/no\/produkt\/compute-blade-tpm\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Hjem","item":"https:\/\/raspberrypi.dk\/no\/raspberry-pi-nettbutikk\/"},{"@type":"ListItem","position":2,"name":"Shop","item":"https:\/\/raspberrypi.dk\/no\/shop-2\/"},{"@type":"ListItem","position":3,"name":"Compute Blade TPM"}]},{"@type":"WebSite","@id":"https:\/\/raspberrypi.dk\/no\/#website","url":"https:\/\/raspberrypi.dk\/no\/","name":"RaspberryPi.dk","description":"Danmarks f\u00f8rende Raspberry Pi side!","publisher":{"@id":"https:\/\/raspberrypi.dk\/no\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/raspberrypi.dk\/no\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"nb-NO"},{"@type":"Organization","@id":"https:\/\/raspberrypi.dk\/no\/#organization","name":"RaspberryPi.dk","url":"https:\/\/raspberrypi.dk\/no\/","logo":{"@type":"ImageObject","inLanguage":"nb-NO","@id":"https:\/\/raspberrypi.dk\/no\/#\/schema\/logo\/image\/","url":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2017\/05\/RaspberryPidk_logo-2.png","contentUrl":"https:\/\/raspberrypi.dk\/wp-content\/uploads\/2017\/05\/RaspberryPidk_logo-2.png","width":470,"height":110,"caption":"RaspberryPi.dk"},"image":{"@id":"https:\/\/raspberrypi.dk\/no\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/facebook.com\/RaspberryPiDanmark","https:\/\/x.com\/raspberrypidk","https:\/\/instagram.com\/raspberrypi.dk"]}]}},"_links":{"self":[{"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/product\/250456","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/comments?post=250456"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/media\/250566"}],"wp:attachment":[{"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/media?parent=250456"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/product_brand?post=250456"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/product_cat?post=250456"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/raspberrypi.dk\/no\/wp-json\/wp\/v2\/product_tag?post=250456"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}