Dis.co

Model training taking too long? Having trouble scaling? Forgot to turn off your AWS server and now dealing with overage costs? Here’s a way out of it.

https://dis.co/blog/running-a-scalable-hello-world-in-minutes-on-dis-co/

Running A Scalable “Hello World” in Minutes on Dis.co. - Disco Setting up a cloud service such as AWS, Google Cloud, or Microsoft Azure can sometimes be an adventure itself. Today, I could only vaguely remember all

Machine Learning is already breaking new ground in AI - but where do we go from here? Read all about how cloud parallelization is changing the landscape of ML model training in our latest whitepaper: https://try.dis.co/whitepaper/

Parallelization is poised to improve machine learning model training. Head of Dis.co Avi Barliya's latest blog explores how and why at http://bit.ly/33fJVN6

Can Distributed Compute Solve Model Training Constraints? AI/ML model training demands powerful computing resources, and distributed compute may be the best way to addressing processing…

The tech community needs more women in leadership. Ashley has been an integral part of Dis.co's development, and we look forward to even more important contributions from the incredible women on our team. Thank you Ashley, we appreciate you!

Meet our Senior Strategic Partnerships Manager, Ashley Kraska, who joined NEXT in January.

“As a member of our Partnerships team, I have the opportunity to contribute to everything from Executive Workshops, the success of Whisk and Dis.co, and the launch of products earlier in their lifecycle like Smart Fitness to collaboration with our portfolio companies. The abundance of opportunity is what I'm most excited about!”

Digital transformation is shaping the global business landscape. A growing diversity of industries and enterprises are embracing the impacts of digitization, and this is leading to increasing demands on DevOps teams. Dis.co knows all about the demands facing today’s DevOps professionals, and it was the first topic we covered on our blog! Check it out in case you missed it: http://bit.ly/2VOjImQ

What is DevOps and Why You Should Care - Disco What is DevOps? Discover what DevOps is and the proof points of success. Collaboration. Speed. Automation. Scale. Continuous improvement.

Dis.co us at the Node.TLV 2020 Conference this week connecting with the international Node.js community - come check us out!

Parallelization opens the door for faster and better rendering.
In the final article of his 3-part series, product guru Raymond Lo explores ways artists can use Dis.co to automate job ex*****on and distribution process to parallelize thousands of tasks. Read "Creating a Serverless and Scalable Render Farm with Dis.co" on our blog at http://bit.ly/2T5P1Ib. In case you missed it, read Part 1: "How to Build a Render Farm (Distributed Rendering) with Dis.co" at http://bit.ly/2vm2KBo and Part 2 on "Build a Blender-Docker Container for Distributed Rendering" at http://bit.ly/2PsdlSt

The amount of computing power used in AI model training is already doubling every 3.4 months - and this rate is accelerating. Developers need solutions that improve the speed and efficiency of complex training jobs just to keep up with growing compute demands. Dis.co has built a serverless solution that scales ML workflow to the cloud - if you're an AI/ML professional in need a model training solution that's faster and more agile than what you've got now, reach out at https://try.dis.co/aiml/

The Distributed Rendering saga continues!
In Part 2 of his 3-part series, our very own Raymond Lo explores ways artists can use the Docker tool to improve rendering. Read "Build a Blender-Docker Container for Distributed Rendering" on Dis.co's blog at http://bit.ly/2PsdlSt - and in case you missed it, read Part 1: "How to Build a Render Farm (Distributed Rendering) with Dis.co" at http://bit.ly/2vm2KBo.

Build a Blender-Docker Container for Distributing Rendering In the first blog post of this series, we reviewed the history of graphics rendering and how computers never seem…

Improved rendering creates better quality 3D videos, but artists are often constrained by compute availability. In Part 1 of his 3-Part series on Distributed Rendering with Dis.co, Technology Evangelist Raymond Lo explains how to leverage the power of distributed computing to build a powerful render farm with just 2 tools: Dis.co and Packet. Read Part 1 of the series on our blog at http://bit.ly/2vm2KBo , and keep an eye out for Part 2: Build a Blender-Docker Container for Distributing Rendering and Part 3: Creating a Serverless and Scalable Render Farm with Dis.co