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Deep Learning platform
Background
Deep Learning is the
next technology
frontier.
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.
Gather
data
Transform
data
Ingest
Train
model
Analyze
Deploy
model
Deep Learning
Pipeline
Process
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outdated and difficult to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.
Introducing
Gradient°
Mission: To accelerate AI workloads by
enabling data science teams to quickly and
efficiently develop, train, and deploy deep
learning models.
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.
Where Gradient° assists in the journey
End-to-end
Deep Learning Pipeline
Frameworks
supported
Compatible with any modern machine
learning framework.
Run on pre-built containers or your own
custom container.
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
Enterprise Ready
• User Management
- Isolate individuals and teams
• Security
- Advanced Networking
- SSO and SAML
• Any workload, any size
- Infinite scale
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
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.

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Introducing Gradient

  • 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.
  • 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
  • 12.
  • 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.