_spanian-uncut-raw-interview-with-criminal-turned-social-media-star-124-2gb-sydney-preview-1.jpg "Spanian Uncut: Raw interview with criminal turned social media star | 2GB Sydney from 2gb video Video Screenshot Preview 1")
Gallery_spanian-uncut-raw-interview-with-criminal-turned-social-media-star-124-2gb-sydney-preview-3.jpg "Spanian Uncut: Raw interview with criminal turned social media star | 2GB Sydney from 2gb video Video Screenshot Preview 3")
Gallery_spanian-uncut-raw-interview-with-criminal-turned-social-media-star-124-2gb-sydney-preview-hqdefault.jpg "Spanian Uncut: Raw interview with criminal turned social media star | 2GB Sydney from 2gb video Video Screenshot Preview hqdefault")
GalleryPlay Video:
(Note: The default playback of the video is HD VERSION. If your browser is buffering the video slowly, please play the REGULAR MP4 VERSION or Open The Video below for better experience. Thank you!)
Jump To Video Parts
⏲ Duration: 24 minutes 23 seconds
👁 View: 278.6K times
Play Audio:👁 View: 278.6K times
Description:
2GB Sydney
2GB Sydney
Share with your friends:
Whatsapp | Viber | Telegram | Line | SMS
Email | Twitter | Reddit | Tumblr | Pinterest
Related Videos
_how-to-send-large-videos-on-gmail-quick-2024.webp "How to Simple")
_my-first-graphics-card-install-msi-gaming-geforce-gt-710-2gb-gdrr3-lp-in-a-dell-optiplex-3010.webp "whattmeter")
⏲ 7 minutes 16 seconds 👁 168.8K
_mapping-a-day-in-the-life-of-twitter.webp "Blog post on this here: http://sciblogs.co.nz/seeing-data/2010/11/25/mapping-a-day-in-the-life-of-twitter/nnLast week I hooked a computer up to the Twitter data streaming API and, over the course of a day, grabbed every tweet that had geographic coordinates. I wrote a Python script to parse the 2GB of JSON files and used Matplotlib with the Basemap extension to animate 25 hours of data on a world map. The resulting animation plots almost 530,000 tweets -- and remember these are just tweets with")
_2gb-vs-4gb-video-memory-graphics-card-comparison-with-nvidia-gtx-960.webp "goldfries")
_element3d-v2-render-test.webp "Test with Element3D V2, 23 seconds per frame on average. nRaytrace Shadows and AO.nMotion Blur added in post.nnThis is only the first part, video will be updated soon, with a Shadow Map and a ScreenSpace AO version to compare render times and visual quality.nnComparison with other render engines: https://www.behance.net/gallery/21615831/Testing-render-enginesnnPlease note, I didn't only rotated the light during the animation but also the environment map, that's why the reflections change. It was")
_counter-strike-2-csgo2-2gb-ram-4gb-ram-vs-8gb-ram-vs-16gb-ram-vs-32gb-ram.webp "Easy Benchmark")
⏲ 8 minutes 15 seconds 👁 434.3K
_playing-all-gta-games-on-2gb-ram-test.webp "GRIZZLY BEAR")
_pro-tips-for-packing-a-canopy.webp "I was very lucky to bump into Alexandra Mao Iancu at my home DZ in Utti Finland, since I'm a very slow packer myself, and she's a master. =) Mao was kind enough to give me some professional packer tips and she let me film the whole procedure! So I decided to make a simple video out of it, and share these tips and tricks with everyone who feel the need to learn to pack more efficiently. This is not a 'how to' video or 'the only way to pack a canopy' video, and definitely not a speed run video (sh")
_how-to-send-large-videos-on-gmail-quick-2024.jpg)
_my-first-graphics-card-install-msi-gaming-geforce-gt-710-2gb-gdrr3-lp-in-a-dell-optiplex-3010.jpg)
_mapping-a-day-in-the-life-of-twitter.jpg)
_2gb-vs-4gb-video-memory-graphics-card-comparison-with-nvidia-gtx-960.jpg)
_element3d-v2-render-test.jpg)
_counter-strike-2-csgo2-2gb-ram-4gb-ram-vs-8gb-ram-vs-16gb-ram-vs-32gb-ram.jpg)
_playing-all-gta-games-on-2gb-ram-test.jpg)
_pro-tips-for-packing-a-canopy.jpg)
![[+]](/images/menu.gif){kind=small}