Efficiency Hardware Tuning Video 
The Netflix TechBlog
NOVEMBER 9, 2021
by Liwei Guo , Ashwin Kumar Gopi Valliammal , Raymond Tam , Chris Pham , Agata Opalach , Weibo Ni AV1 is the first high-efficiency video codec format with a royalty-free license from Alliance of Open Media (AOMedia), made possible by wide-ranging industry commitment of expertise and resources.
Dynatrace
OCTOBER 28, 2021
In 2009, the purveyor of online videos migrated to AWS cloud infrastructure to deliver its entertainment to a growing audience. A disruption spanning hardware, networks, and cloud infrastructure can require input and participation from network and infrastructure architects, risk experts, security teams, and even procurement officers.
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Dynatrace
JANUARY 26, 2021
This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.
KeyCDN
SEPTEMBER 20, 2018
Error monitoring can get increasingly complicated as you deal with bugs reported by users and your production team, which is why having an efficient error tracking workflow from the beginning is so important. Not all back-end errors affect the user experience, but keeping track of them can prove helpful when tuning your app.
The Netflix TechBlog
APRIL 29, 2019
We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members. video streaming) takes place in the Open Connect network. Our Infrastructure Security team leverages Python to help with IAM permission tuning using Repokid.
O'Reilly
NOVEMBER 28, 2023
Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. That pricing won’t be sustainable, particularly as hardware shortages drive up the cost of building infrastructure.
O'Reilly
SEPTEMBER 19, 2023
Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Google goes a step further in offering compute instances with its specialized TPU hardware.
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