ActivityPub Viewer

A small tool to view real-world ActivityPub objects as JSON! Enter a URL or username from Mastodon or a similar service below, and we'll send a request with the right Accept header to the server to view the underlying object.

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{ "@context": [ "https://www.w3.org/ns/activitystreams", { "ostatus": "http://ostatus.org#", "atomUri": "ostatus:atomUri", "inReplyToAtomUri": "ostatus:inReplyToAtomUri", "conversation": "ostatus:conversation", "sensitive": "as:sensitive", "toot": "http://joinmastodon.org/ns#", "votersCount": "toot:votersCount", "Hashtag": "as:Hashtag" } ], "id": "https://ma.fellr.net/users/fell/statuses/114137682058297817", "type": "Note", "summary": null, "inReplyTo": null, "published": "2025-03-10T10:33:34Z", "url": "https://ma.fellr.net/@fell/114137682058297817", "attributedTo": "https://ma.fellr.net/users/fell", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://ma.fellr.net/users/fell/followers" ], "sensitive": false, "atomUri": "https://ma.fellr.net/users/fell/statuses/114137682058297817", "inReplyToAtomUri": null, "conversation": "tag:ma.fellr.net,2025-03-10:objectId=19365931:objectType=Conversation", "content": "<p>I just found out that the NVIDIA driver on Linux simply cannot utilise the system RAM when your GPU is running out of VRAM. Allocations will simply fail. </p><p>That fucking sucks.</p><p>Windows is apparently remarkably good at managing video memory, so many games simply rely on that and don&#39;t take into account how much VRAM is used or available.</p><p>Seems like AMD&#39;s drivers (Mesa) can deal with this, but I&#39;m not sure.</p><p><a href=\"https://ma.fellr.net/tags/NVIDIA\" class=\"mention hashtag\" rel=\"tag\">#<span>NVIDIA</span></a> <a href=\"https://ma.fellr.net/tags/Linux\" class=\"mention hashtag\" rel=\"tag\">#<span>Linux</span></a> <a href=\"https://ma.fellr.net/tags/RAM\" class=\"mention hashtag\" rel=\"tag\">#<span>RAM</span></a> <a href=\"https://ma.fellr.net/tags/GPU\" class=\"mention hashtag\" rel=\"tag\">#<span>GPU</span></a> <a href=\"https://ma.fellr.net/tags/VRAM\" class=\"mention hashtag\" rel=\"tag\">#<span>VRAM</span></a> <a href=\"https://ma.fellr.net/tags/Memory\" class=\"mention hashtag\" rel=\"tag\">#<span>Memory</span></a> <a href=\"https://ma.fellr.net/tags/Windows\" class=\"mention hashtag\" rel=\"tag\">#<span>Windows</span></a> <a href=\"https://ma.fellr.net/tags/AMD\" class=\"mention hashtag\" rel=\"tag\">#<span>AMD</span></a> <a href=\"https://ma.fellr.net/tags/Mesa\" class=\"mention hashtag\" rel=\"tag\">#<span>Mesa</span></a> <a href=\"https://ma.fellr.net/tags/LinuxGaming\" class=\"mention hashtag\" rel=\"tag\">#<span>LinuxGaming</span></a> <a href=\"https://ma.fellr.net/tags/GamingOnLinux\" class=\"mention hashtag\" rel=\"tag\">#<span>GamingOnLinux</span></a></p>", "contentMap": { "en": "<p>I just found out that the NVIDIA driver on Linux simply cannot utilise the system RAM when your GPU is running out of VRAM. Allocations will simply fail. </p><p>That fucking sucks.</p><p>Windows is apparently remarkably good at managing video memory, so many games simply rely on that and don&#39;t take into account how much VRAM is used or available.</p><p>Seems like AMD&#39;s drivers (Mesa) can deal with this, but I&#39;m not sure.</p><p><a href=\"https://ma.fellr.net/tags/NVIDIA\" class=\"mention hashtag\" rel=\"tag\">#<span>NVIDIA</span></a> <a href=\"https://ma.fellr.net/tags/Linux\" class=\"mention hashtag\" rel=\"tag\">#<span>Linux</span></a> <a href=\"https://ma.fellr.net/tags/RAM\" class=\"mention hashtag\" rel=\"tag\">#<span>RAM</span></a> <a href=\"https://ma.fellr.net/tags/GPU\" class=\"mention hashtag\" rel=\"tag\">#<span>GPU</span></a> <a href=\"https://ma.fellr.net/tags/VRAM\" class=\"mention hashtag\" rel=\"tag\">#<span>VRAM</span></a> <a href=\"https://ma.fellr.net/tags/Memory\" class=\"mention hashtag\" rel=\"tag\">#<span>Memory</span></a> <a href=\"https://ma.fellr.net/tags/Windows\" class=\"mention hashtag\" rel=\"tag\">#<span>Windows</span></a> <a href=\"https://ma.fellr.net/tags/AMD\" class=\"mention hashtag\" rel=\"tag\">#<span>AMD</span></a> <a href=\"https://ma.fellr.net/tags/Mesa\" class=\"mention hashtag\" rel=\"tag\">#<span>Mesa</span></a> <a href=\"https://ma.fellr.net/tags/LinuxGaming\" class=\"mention hashtag\" rel=\"tag\">#<span>LinuxGaming</span></a> <a href=\"https://ma.fellr.net/tags/GamingOnLinux\" class=\"mention hashtag\" rel=\"tag\">#<span>GamingOnLinux</span></a></p>" }, "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://ma.fellr.net/tags/nvidia", "name": "#nvidia" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/linux", "name": "#linux" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/ram", "name": "#ram" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/gpu", "name": "#gpu" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/vram", "name": "#vram" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/memory", "name": "#memory" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/windows", "name": "#windows" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/amd", "name": "#amd" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/mesa", "name": "#mesa" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/linuxgaming", "name": "#linuxgaming" }, { "type": "Hashtag", "href": "https://ma.fellr.net/tags/gamingonlinux", "name": "#gamingonlinux" } ], "replies": { "id": "https://ma.fellr.net/users/fell/statuses/114137682058297817/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://ma.fellr.net/users/fell/statuses/114137682058297817/replies?only_other_accounts=true&page=true", "partOf": "https://ma.fellr.net/users/fell/statuses/114137682058297817/replies", "items": [] } }, "likes": { "id": "https://ma.fellr.net/users/fell/statuses/114137682058297817/likes", "type": "Collection", "totalItems": 2 }, "shares": { "id": "https://ma.fellr.net/users/fell/statuses/114137682058297817/shares", "type": "Collection", "totalItems": 4 } }