{
  "type": "tweet",
  "id": "2094539314600239110",
  "url": "https://x.com/PyTorch/status/2094539314600239110",
  "twitterUrl": "https://twitter.com/PyTorch/status/2094539314600239110",
  "text": "NVIDIA's (@nvidia) Anjulie Agrusa, Ryan Spring, and Bruce Zitelli will show how the latest NVFP4 pretraining recipes can accelerate large-scale LLM training while closing the quality gap to BF16 at PyTorch Conference North America 2026.\n\nTheir October 21 session, “Efficient Pretraining of LLMs in NVFP4,” will cover the recipe and PyTorch tooling that make this possible, including recipe design, kernel choices, and the API surface needed to bring NVFP4 training into native PyTorch workflows.\n\nThe recipes are being upstreamed into the PyTorch ecosystem through TorchAO and TorchTitan, with dense linear NVFP4 training available in TorchAO today.\n\nRegister by September 4 to save on your conference pass.\n\n🔗 Register: https://t.co/GIZUAha5wA\n\n#PyTorchCon",
  "source": "Twitter for iPhone",
  "retweetCount": 2,
  "replyCount": 0,
  "likeCount": 2,
  "quoteCount": 0,
  "viewCount": 1283,
  "createdAt": "Mon Aug 31 21:34:21 +0000 2026",
  "lang": "en",
  "bookmarkCount": 1,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2094539314600239110",
  "displayTextRange": [
    0,
    274
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "PyTorch",
    "url": "https://x.com/PyTorch",
    "twitterUrl": "https://twitter.com/PyTorch",
    "id": "776585502606721024",
    "name": "PyTorch",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1813965160702451712/yXV1vRhr_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/776585502606721024/1761575044",
    "description": "",
    "location": "",
    "followers": 509164,
    "following": 90,
    "status": "",
    "canDm": false,
    "canMediaTag": true,
    "createdAt": "Fri Sep 16 00:56:26 +0000 2016",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 1006,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 1638,
    "statusesCount": 3526,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [],
    "profile_bio": {
      "description": "Tensors and neural networks in Python with strong hardware acceleration. PyTorch is an open source project at the Linux Foundation. #PyTorchFoundation",
      "entities": {
        "description": {
          "hashtags": [
            {
              "indices": [
                132,
                150
              ],
              "text": "PyTorchFoundation"
            }
          ]
        },
        "url": {
          "urls": [
            {
              "display_url": "pytorch.org",
              "expanded_url": "http://pytorch.org",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/6SwTBhUwTJ"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "additional_media_info": {
          "monetizable": false
        },
        "display_url": "pic.x.com/iQY2MaoLtE",
        "expanded_url": "https://x.com/PyTorch/status/2094539314600239110/video/1",
        "ext_master_playlist_only": [],
        "ext_media_availability": {
          "status": "Available"
        },
        "ext_playlists": [],
        "id_str": "2094539166897860608",
        "indices": [
          275,
          298
        ],
        "media_key": "13_2094539166897860608",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwABAoAAR0RTEZjFvAAAAA=",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAAECgABHRFMRmMW8AAAAA==",
            "media_key": "13_2094539166897860608"
          }
        },
        "media_url_https": "https://pbs.twimg.com/media/HRFMY5eXQAAi-S3.jpg",
        "original_info": {
          "focus_rects": [],
          "height": 1080,
          "width": 1920
        },
        "sizes": {
          "large": {
            "h": 1080,
            "w": 1920
          }
        },
        "type": "video",
        "url": "https://t.co/iQY2MaoLtE",
        "video_info": {
          "aspect_ratio": [
            16,
            9
          ],
          "duration_millis": 35456,
          "variants": [
            {
              "content_type": "application/x-mpegURL",
              "url": "https://video.twimg.com/amplify_video/2094539166897860608/pl/zOpu0tPzrEQ7E8pM.m3u8?tag=14"
            },
            {
              "bitrate": 288000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2094539166897860608/vid/avc1/480x270/4hQNsYQIhzMM72iC.mp4?tag=14"
            },
            {
              "bitrate": 832000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2094539166897860608/vid/avc1/640x360/TK8NjsgU4wqqHyxo.mp4?tag=14"
            },
            {
              "bitrate": 2176000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2094539166897860608/vid/avc1/1280x720/tGlBijOKFgqqk11m.mp4?tag=14"
            }
          ]
        }
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [
      {
        "indices": [
          746,
          757
        ],
        "text": "PyTorchCon"
      }
    ],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "hubs.la/Q04tDbKG0",
        "expanded_url": "https://hubs.la/Q04tDbKG0",
        "indices": [
          721,
          744
        ],
        "url": "https://t.co/GIZUAha5wA"
      }
    ],
    "user_mentions": [
      {
        "id_str": "61559439",
        "indices": [
          10,
          17
        ],
        "name": "NVIDIA",
        "screen_name": "nvidia"
      }
    ]
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "communityInfo": null,
  "article": null
}