Choose the plan that's right for you
Creator$11/moUpgradable to Creator Plus or Pro
Team$111/mo
EnterpriseLet's chat
Platform
Profile Management
Publishing Projects
Publishing Video
Clone Projects
View unlimited videos (no ads)
Resume Generation
Tools
Notebooks
Unlimited notebooks
Unlimited notebooks
Unlimited notebooks
Jobs
Unlimited jobs
Unlimited jobs
Unlimited jobs
Endpoints
One free endpoint (active for 12 hours)
One free endpoint per user (active for 12 hours) + Additional endpoints for $8/month
Unlimited
Support for Instance Types
Free Instances:
- Ascendio-CPU (4CPU, 16GB RAM)
- Ascendio-GPU (Tesla T4 GPU, 4CPU, 16GB RAM)
Free Instances:
- Ascendio-CPU (4CPU, 16GB RAM)
- Ascendio-GPU (Tesla T4 GPU, 4CPU, 16GB RAM)
Premium Instances
- V100 GPU
- T4 GPU
- P4 GPU
- A100 GPU
Everything in Team + Private Cloud
Instance Timeout (duration after which an instance will perform auto-shutdown)
2 hours
4 hours (& 40 GPU Credits) for Creator Plus and
8 hours (& 80 GPU Credits) for Creator Pro.
8 hours (1000 CPU Credits & 250 GPU Credits) for each Team member.
No timeouts for Premium instances
No timeouts
On Prem Support
Not supported
Not supported
Supported
Bring your own Cloud
Not supported
Not supported
Supported
Collaboration
Private Collaboration with team
Not supported
Supported
Supported
Built in chat
(Only with community)
Supported
Supported
Live co-editing with others inside notebooks and jobs
(Only with community)
Supported
Supported
Measurable and
Instant ROI
Huge Productivity Improvements
Data Scientists (& ML Engineers) save between 5-10 hours/week on average by working on Deque
Eliminate barriers to Multi GPU Multi Node training
Deque makes distributed training very simple to use and can speed up training at infinite scalability with single click abstraction saving hours of platform work - no cluster setup or administration required. From notebook and job optimizations to OS tweaks, training workloads run faster on Deque
Material Compute Savings
By using the cloud resources optimally (within seconds) and using on-prem infrastructure transparently, clients can achieve. Deque can lower cloud bills associated with deep learning by over 20% [no surcharge tied to consumption and through optimal utilization.
Optimize headcount
Deque’s platform needs ZERO overhead and management to run the training workloads, obviating expenses associated with large platform teams.