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App-full: SHIELD TV Now Streaming More Hit Movies and Shows with Apple TV

The streaming device with the most 4K HDR content available now has even more as Apple TV joins the lineup on NVIDIA SHIELD. Starting today, SHIELD owners can stream the Apple TV app, including Apple TV+, and its impressive lineup of award-winning series, compelling dramas, groundbreaking documentaries, kids’ shows, comedies and more. The Apple TV Read article >

The post App-full: SHIELD TV Now Streaming More Hit Movies and Shows with Apple TV appeared first on The Official NVIDIA Blog.

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NVIDIA AI Enterprise Software Drives New Wave of Certified Systems from World’s Leading Manufacturers

NVIDIA today announced dozens of new servers certified to run NVIDIA AI Enterprise software, marking a rapid expansion of the NVIDIA-Certified Systems™ program, which has grown to include more than 50 systems from the world’s leading manufacturers.

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NVIDIA Partners Unveil New Servers Featuring NVIDIA BlueField DPUs

Several of the world’s top server manufacturers today at COMPUTEX 2021 announced new systems powered by NVIDIA BlueField-2 data processing units. While systems with NVIDIA GPUs are already available now with the option of adding BlueField-2 DPUs, many applications and customer use cases may not require a GPU but can still benefit from a DPU. Read article >

The post NVIDIA Partners Unveil New Servers Featuring NVIDIA BlueField DPUs appeared first on The Official NVIDIA Blog.

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From Hours to Minutes with New Rendering Powerhouses: GeForce RTX 3080 Ti and 3070 Ti

Content creators are getting a slew of new tools in their creative arsenal at COMPUTEX with the announcement of new NVIDIA GeForce RTX 3080 Ti and 3070 Ti GPUs. These GPUs deliver massive time savings for freelancers and creatives specializing in video editing, 3D animation or architectural visualization. In addition, HP and Acer announced new Read article >

The post From Hours to Minutes with New Rendering Powerhouses: GeForce RTX 3080 Ti and 3070 Ti appeared first on The Official NVIDIA Blog.

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NVIDIA Brings Gaming, Enterprise Innovations to COMPUTEX 2021

Touching on gaming, enterprise AI — and the advances underpinning both — NVIDIA’s Jeff Fisher and Manuvir Das Tuesday delivered a news-packed virtual keynote at COMPUTEX 2021. Fisher, senior vice president of NVIDIA’s GeForce business, announced a pair of powerful new gaming GPUs — the GeForce RTX 3080 Ti and GeForce 3070 Ti. He spoke Read article >

The post NVIDIA Brings Gaming, Enterprise Innovations to COMPUTEX 2021 appeared first on The Official NVIDIA Blog.

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NVIDIA RTX Titles Jump to 130 on Widespread Industry Adoption of Ray Tracing, NVIDIA DLSS

‘DOOM Eternal’, ‘Rainbow Six Siege’ and ‘Red Dead Redemption 2’ Among Latest RTX Titles; NVIDIA Reflex in 12 of Top 15 Competitive Shooters SANTA CLARA, Calif., May 31, 2021 (GLOBE NEWSWIRE) …

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It’s Time for Ti: NVIDIA Introduces Gaming Flagship — the GeForce RTX 3080 Ti

1.5x Faster Than Previous Gen, Availability Begins June 3; Equally Impressive RTX 3070 Ti Available Next Week SANTA CLARA, Calif., May 31, 2021 (GLOBE NEWSWIRE) — NVIDIA today unveiled two …

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NVIDIA Base Command Platform Provides Enterprises with Fast Path to Scale Production AI

NVIDIA and NetApp Offer Subscription to Hosted NVIDIA DGX SuperPOD and NetApp Data Management Platform; Integrations Coming Soon for Public Cloud InfrastructureSANTA CLARA, Calif., May 31, …

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Learn TensorFlow

I am a bit new to the TensorFlow. I have following questions

  1. How to select which version to use.
  2. How different are the two versions.
  3. what could be the best way to learn TensorFlow( are learning TF1 and learning TF2 completely different things?)

I would really appreciate any help. Thank you

submitted by /u/Pranavkulkarni08
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Batch the calculation to resize the image

Hi,

Could anyone please give me an example of how to batch the calculation when using tf.image.resize? Resizing all the images (20000) in my dataset at once crashes my system. I’m trying to upscale my images. I couldn’t find the documentation or examples for it.

submitted by /u/aark91
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