NVIDIA has multiple different open-source kernel drivers for their GPU and display hardware, used in different scenarios – and working on different sets of NVIDIA devices.<\/p>\n\n\n\n
The This driver is available at https:\/\/nv-tegra.nvidia.com\/r\/gitweb?p=linux-nvgpu.git;a=summary<\/a> under MIT license, except the Linux-specific components, which are licensed as GPLv2.<\/p>\n\n\n\n For a Tegra integrated GPUs, For dedicated GPUs, unified memory isn’t supported with this driver. NVIDIA also doesn’t redistribute a firmware set for this driver for dedicated GPUs.<\/p>\n\n\n\n This driver doesn’t require the usage of the GPU System Processor present on Turing and later, and supports earlier GPUs.<\/p>\n\n\n\n Supported iGPUs by this driver: GM20B, GP10B, GV11B, GA10B<\/p>\n\n\n\n Supported dGPUs by this driver: GP106, GV100, TU104, GA100<\/p>\n\n\n\n The mainline kernel uses a DRM The K1 switched to regular NVIDIA GPU architectures instead of using GeForce ULP.<\/p>\n\n\n\n Those drivers below are derived from the same root codebase and share the same module names. ( The NVIDIA proprietary driver has obfuscated symbols, to (try to) make reverse engineering harder than it could be. Non-GSP firmware is directly included in the binary instead of being separate, unlike The proprietary component code sizes for this kernel driver:<\/p>\n\n\n\n The ones on the Open GPU Kernel Modules <\/em>for comparison, when precompiled by NVIDIA for shorter installation times:<\/p>\n\n\n\n This driver does support using the GPU System Processor, which is available on Turing GPUs (GeForce GTX 16xx and RTX) onwards.<\/p>\n\n\n\n The GSP firmware is totally optional in this driver. It is not required to be used in any way. <\/p>\n\n\n\n When the GSP driver is used, a significant chunk of the driver is offloaded, which makes open-sourcing that code not necessary in order to not have proprietary code running in the host OS kernel. <\/p>\n\n\n\n An extensive RPC interface is used for communication across the two worlds, not very much unlike what Apple does for the display controller on the A14 onwards.<\/p>\n\n\n\n The GSP firmware weights 39MB on the latest It’s a RISC-V 64-bit ELF binary.<\/p>\n\n\n\n Sections on the We can see that most executable code is shared between GPU generations in this scenario.<\/p>\n\n\n\n This driver is the one above, but with only <\/em>supporting the GPU System Processor offloaded code path and available under an open-source license (dual GPLv2 + MIT).<\/p>\n\n\n\n As it relies on the GSP, this driver only supports Turing and later.<\/p>\n\n\n\n Currently, this driver only supports T234D and as such, when using a dedicated GPU on Orin, the onboard display controller is lost.<\/p>\n\n\n\n No ABI compatibility is guaranteed between kernel and user land across In both the edit (May 15): all of the NVIDIA has multiple different open-source kernel drivers for their GPU and display hardware, used in different scenarios – and working on different sets of NVIDIA devices. nvgpu driver The nvgpu driver is used mainly\/almost exclusively on NVIDIA Tegra SoCs. It’s a GPU – as in accelerator block – only driver that doesn’t handle display management… Read More »NVIDIA’s open-source drivers<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-417","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/posts\/417","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/comments?post=417"}],"version-history":[{"count":6,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/posts\/417\/revisions"}],"predecessor-version":[{"id":440,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/posts\/417\/revisions\/440"}],"wp:attachment":[{"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/media?parent=417"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/categories?post=417"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/threedots.ovh\/blog\/wp-json\/wp\/v2\/tags?post=417"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}nvgpu<\/code> driver is used mainly\/almost exclusively on NVIDIA Tegra SoCs. It’s a GPU – as in accelerator block – only driver that doesn’t handle display management – as that’s handled by separate display hardware.<\/p>\n\n\n\nnvgpu<\/code> isn’t a standalone driver: it relies on the nvmap<\/code> and host1x<\/code> drivers for memory mapping and communication respectively.<\/p>\n\n\n\nnvgpu<\/code> supports multiple operating systems. It runs on Linux, QNX and Nintendo Horizon. This drivers supports Functional Safety (FUSA) requirements for automotive use.<\/p>\n\n\n\nFirmware set for Xavier (nvgpu)<\/h3>\n\n\n\n
-rwxr-xr-x 1 root root 102K avril 6 21:08 NETA_img.bin\n-rwxr-xr-x 1 root root 102K avril 6 21:08 NETB_img.bin\n-rwxr-xr-x 1 root root 102K avril 6 21:08 NETC_img.bin\n-rw-r--r-- 1 root root 97K avril 6 21:08 NETD_img.bin\n-rw-r--r-- 1 root root 25K avril 6 21:08 acr_ucode_dbg.bin\n-rw-r--r-- 1 root root 25K avril 6 21:08 acr_ucode_prod.bin\n-rw-r--r-- 1 root root 528 avril 6 21:08 fecs.bin\n-rw-r--r-- 1 root root 108 avril 6 21:08 fecs_sig.bin\n-rw-r--r-- 1 root root 528 avril 6 21:08 gpccs.bin\n-rw-r--r-- 1 root root 108 avril 6 21:08 gpccs_sig.bin\n-rw-r--r-- 1 root root 95K avril 6 21:08 gpmu_ucode.bin\n-rw-r--r-- 1 root root 656 avril 6 21:08 gpmu_ucode_desc.bin\n-rw-r--r-- 1 root root 95K avril 6 21:08 gpmu_ucode_image.bin\n-rw-r--r-- 1 root root 1,3K avril 6 21:08 pmu_bl.bin\n-rw-r--r-- 1 root root 108 avril 6 21:08 pmu_sig.bin<\/code><\/pre>\n\n\n\nTegra DC driver<\/h2>\n\n\n\n
tegradc<\/code> is a driver for the display controller used on NVIDIA Tegra hardware prior to Orin (t234). It’s fully independent from accelerator hardware.<\/p>\n\n\n\ntegra<\/code> driver for the same purpose – which also has support for 3D acceleration on hardware that pre-dates Tegra K1. <\/p>\n\n\n\nnvidia driver<\/h2>\n\n\n\n
nvidia<\/code> and nvidia-*<\/code>) As such, they cannot be loaded at the same time as one another. You’ll have to pick one<\/em> of those on a given machine.<\/p>\n\n\n\nProprietary<\/h3>\n\n\n\n
nvgpu<\/code> which has it stored it in \/lib\/firmware<\/code>. <\/p>\n\n\n\n1,5M nvidia-modeset\/nv-modeset-kernel.o_binary\n44M nvidia\/nv-kernel.o_binary<\/code><\/pre>\n\n\n\n1,8M nvidia-modeset\/nv-modeset-kernel.o_binary\n6,3M nvidia\/nv-kernel.o_binary<\/code><\/pre>\n\n\n\nGPU System Processor<\/h4>\n\n\n\n
515.43.04<\/code> driver release.<\/p>\n\n\n\nfirmware\/gsp.bin: ELF 64-bit LSB executable, UCB RISC-V, version 1 (SYSV), statically linked, stripped<\/code><\/pre>\n\n\n\ngsp.bin<\/code> firmware file:<\/p>\n\n\n\nSection Headers:\n [Nr] Name Type Address Off Size ES Flg Lk Inf Al\n [ 0] NULL 0000000000000000 000000 000000 00 0 0 0\n [ 1] .gnext_data PROGBITS 0000000004001000 001000 0021a8 00 WA 0 0 8\n [ 2] .ga10x_data PROGBITS 0000000004004000 004000 001090 00 WA 0 0 8\n [ 3] .ga100_data PROGBITS 0000000004006000 006000 0010f0 00 WA 0 0 8\n [ 4] .tu10x_data PROGBITS 0000000004008000 008000 0010f0 00 WA 0 0 8\n [ 5] .gnext_text PROGBITS 000000000400a000 00a000 001830 00 AX 0 0 4\n [ 6] .ga10x_text PROGBITS 000000000400c000 00c000 00107c 00 AX 0 0 4\n [ 7] .ga100_text PROGBITS 000000000400e000 00e000 001104 00 AX 0 0 4\n [ 8] .tu10x_text PROGBITS 0000000004010000 010000 001104 00 AX 0 0 4\n [ 9] .bootstrap PROGBITS 0000000004012000 012000 0000c4 00 AX 0 0 4\n [10] .gnext_resident_text PROGBITS 0000000004013000 013000 002000 00 WAX 0 0 4\n [11] .gnext_resident_data PROGBITS 0000000004015000 015000 001000 00 WA 0 0 32\n [12] .ga10x_resident_text PROGBITS 0000000004016000 016000 002000 00 WAX 0 0 4\n [13] .ga10x_resident_data PROGBITS 0000000004018000 018000 001000 00 WA 0 0 32\n [14] .ga100_resident_text PROGBITS 0000000004019000 019000 002000 00 WAX 0 0 4\n [15] .ga100_resident_data PROGBITS 000000000401b000 01b000 001000 00 WA 0 0 32\n [16] .tu10x_resident_text PROGBITS 000000000401c000 01c000 002000 00 WAX 0 0 4\n [17] .tu10x_resident_data PROGBITS 000000000401e000 01e000 001000 00 WA 0 0 32\n [18] .acl PROGBITS 000000000401f000 01f000 000160 00 WA 0 0 1\n [19] .manifest PROGBITS 000000000401f160 01f160 000ea0 00 WA 0 0 1\n [20] .section_task_init_stack_instance PROGBITS 000000000662a000 021000 002000 00 WA 0 0 1\n [21] .section_task_rm_stack_instance NOBITS 000000000662d000 967000 010000 00 WA 0 0 1\n [22] .header PROGBITS 0000000004020000 020000 000010 00 WA 0 0 1\n [23] .memory_region_init_arguments PROGBITS 0000000004020010 263c010 000060 00 WA 0 0 1\n [24] .section_task_rm_elf_rodata_instance PROGBITS 0000000004021000 97e000 11d000 00 A 0 0 8\n [25] .section_task_rm_elf_data_instance PROGBITS 000000000413e000 a9f000 1b9d000 00 WA 0 0 8\n [26] .section_task_rm_elf_paged_data_instance PROGBITS 0000000005cdb000 263c070 000000 00 W 0 0 1\n [27] .section_task_rm_elf_text_instance PROGBITS 0000000005cdb000 023000 944000 00 AX 0 0 4\n [28] .section_task_rm_elf_paged_text_instance PROGBITS 000000000661f000 263c070 000000 00 W 0 0 1\n [29] .section_task_init_elf_rodata_instance PROGBITS 000000000661f000 97d000 001000 00 A 0 0 8\n [30] .section_task_init_elf_data_instance PROGBITS 0000000006620000 967000 001000 00 WA 0 0 8\n [31] .fwsignature_ga100 PROGBITS 0000000006621000 968000 001000 00 WA 0 0 8\n [32] .fwsignature_ga10x PROGBITS 0000000006622000 969000 001000 00 WA 0 0 8\n [33] .fwsignature_tu10x PROGBITS 0000000006623000 96a000 001000 00 WA 0 0 8\n [34] .fwsignature_tu11x PROGBITS 0000000006624000 96b000 001000 00 WA 0 0 8\n [35] .section_task_init_elf_paged_data_instance PROGBITS 0000000006625000 a9b000 001000 00 WA 0 0 1\n [36] .section_task_init_elf_text_instance PROGBITS 0000000006626000 a9c000 003000 00 AX 0 0 4\n [37] .section_task_init_elf_paged_text_instance PROGBITS 0000000006629000 97c000 001000 00 WA 0 0 1\n [38] .section_task_rm_memset_buffer_instance NOBITS 000000000662c000 023000 001000 00 WA 0 0 1\n [39] .section_log_rm_buffer_instance NOBITS 000000000663d000 000000 040000 00 WA 0 0 1\n [40] .section_task_rm_args_buffer_instance NOBITS 000000000667d000 000000 001000 00 WA 0 0 1\n [41] .section_task_init_dmem_64kb_instance PROGBITS 000000000667e000 96c000 010000 00 WA 0 0 1\n [42] .section_log_init_buffer_instance NOBITS 000000000668e000 000000 010000 00 WA 0 0 1\n [43] .section_task_rm_message_timing_buffer_instance NOBITS 000000000669e000 97d000 001000 00 WA 0 0 1\n [44] .section_task_rm_msgq_work_areas_instance NOBITS 000000000669f000 a9c000 021000 00 WA 0 0 1\n [45] .section_task_rm_memcpy_buffer_instance NOBITS 00000000066c0000 a9c000 001000 00 WA 0 0 1\n [46] .comment PROGBITS 0000000000000000 263c070 000011 01 MS 0 0 1\n [47] .shstrtab STRTAB 0000000000000000 263c081 0004a6 00 0 0 1\nKey to Flags:\n W (write), A (alloc), X (execute), M (merge), S (strings), I (info),\n L (link order), O (extra OS processing required), G (group), T (TLS),\n C (compressed), x (unknown), o (OS specific), E (exclude),\n R (retain), p (processor specific)<\/code><\/pre>\n\n\n\nOpen GPU Kernel Modules<\/h3>\n\n\n\n
opensrc-disp<\/h3>\n\n\n\n
opensrc-disp<\/code> is derived from the mainline NVIDIA closed-source driver, like the one above. It replaces tegradc<\/code> on Orin (t234) and later. It does not drive the GPU accelerator, which is still driven by the nvgpu<\/code> driver on Orin.<\/p>\n\n\n\nUserspace compatibility<\/h2>\n\n\n\n
nvidia<\/code> GPU driver versions. nvgpu<\/code> has a significantly higher ABI stability level.<\/p>\n\n\n\nnvgpu<\/code> and nvidia<\/code> do not share ABIs. As such, different sets of user-mode drivers are needed to interface with them. <\/p>\n\n\n\nnvgpu<\/code> and nvidia<\/code> scenarios, the user-space GPU driver components provided by NVIDIA are proprietary.<\/p>\n\n\n\nnvgpu<\/code> Linux-specific components are licensed as GPLv2.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"