Introducing Gradient
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Paperspace is the cloud AI-platform built for the future. Tens of thousands of individuals, startups and enterprises use Paperspace to power a range of next-generation applications. Gradient° by Paperspace is a deep learning platform built for developers. From exploration to production deployment, Gradient° enables individuals and teams to quickly develop and collaborate on deep learning models. Join over a hundred thousand developers on the platform and enjoy 1-click Jupyter notebooks, prebuilt templates, a python library, and powerful low-cost GPUs.
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What will be discussed?
What is Data Science?
Types of data scientists
What makes a Data Science Team? Who are its members?
Why does a DS team need Full Stack Developer?
Who should lead the DS Team
Building a Data Science team in a Startup Vs Enterprise
Case studies on:
Evolution Of Airbnb’s DS Team
How Facebook on-boards DS team and trains them
Apple’s Acqui-hiring Strategy to build DS team
Spotify -‘Center of Excellence’ Model
Who should attend?
Managers
Technical Leaders who want to get started with Data Science
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Introducing Gradient
- 1. by Paperspace Deep Learning platform
- 2. Background Deep Learning is the next technology frontier.
- 3. The State of AI Today Self-driving cars, fraud detection, genomics research, etc. Only accessible to Uber/Facebook that have built large pipelines internally. Every company in the world is beginning to see ROI from AI. Most are struggling with putting all the pieces together to start. Vast array of applications. Currently limited to select few. Becoming mainstream today.
- 4. Gather data Transform data Ingest Train model Analyze Deploy model Deep Learning Pipeline Process
- 5. Challenges Significant upfront investment, time to market is 6-18 months! 80% of data scientists are still in school. Infrastructure is quickly outdated and difficult to maintain. Time-consuming process. A large skills gap. AI hardware is rapidly evolving.
- 6. Introducing Gradient° Mission: To accelerate AI workloads by enabling data science teams to quickly and efficiently develop, train, and deploy deep learning models.
- 7. Why Gradient°? A complete platform for modern deep learning • From concept to production, true end-to-end platform. • Zero Setup. We handle the Ops, you focus on Deep Learning. • Collaboration hub for developers. Think of a GitHub for Deep Learning. • Multi-cloud. No Vendor Lock-in. • Flexible pricing, pay by the second.
- 8. Where Gradient° assists in the journey End-to-end Deep Learning Pipeline
- 9. Frameworks supported Compatible with any modern machine learning framework. Run on pre-built containers or your own custom container.
- 10. Infrastructure Agnostic Gradient transforms any infrastructure into a powerful Deep Learning platform. • Paperspace GPU cloud • Public cloud (AWS, GCP, Azure) • On-premise with bare-metal, VMs or Kubernetes Cloud On-prem
- 11. Enterprise Ready • User Management - Isolate individuals and teams • Security - Advanced Networking - SSO and SAML • Any workload, any size - Infinite scale
- 13. How are we doing so far? • Over 150k active users -Adding 10k per month • $28M funding • AI startups • MOOCs and Academies • Universities & Research • Strong presence worldwide US, EU, Asia Pacific • Exceptional compliance standards SOC 1, SOC 2, ISO 27001 • World‐class investors Intel, Battery, Initialized Capital, Y Combinator Progress
- 14. Paperspace 201 Moore St. Brooklyn, NY, 11206, USA raj@paperspace.com www.gradient.cloud Infinite, Versatile, Effortless. Contact us to see how Gradient° can accelerate your AI workloads.