The secret ingredient for your ML success
Qwak's blog provides original content for machine learning engineers, data scientists and curious ducks
Free
Best suited for dev environments
Start for FreeUp to 300 QPU per month
Unlimited model versions on Qwak model registry
Train and deploy on scalable resources
Managed Jupyter notebooks
Transform, store and manage features in the Feature store
Automatic inference and training pipelines
Monitor models and features
Model A/B testing and traffic splitting
Chat support
Pay As You Go
Best suited for productions environments
Start for FreeEverything in free, plus:
Unlimited QPU
Multiple environments
<2 hours SLA for critical cases
99.8% uptime guarantee
Multi A-Z installation (DR)
Enterprise
Best suited for enterprise environments
Contact usEverything in pay as you go, plus:
Volume discounts for pre-commitments
Self hosted hybrid deployments
SSO login
RBAC support
Dedicated support channel
<1 hour SLA for critical cases
<2 hours for important cases
Dedicated Qwak architect hours/month
2 annual on-site workshops
99.9% uptime guarantee
Private VPC installation
The world’s best machine learning teams have chosen Qwak
Qwak pricing calculator
Models
Take your models from research to production.
Feature Store
Manage the entire feature lifecycle with a fully managed feature store.
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FAQs
The platform is made for data scientists who are looking to eliminate dependency on engineering resources and ML engineers who need someone else to take care of the heavy lifting so they can focus on their business’ needs.
We're a usage-based platform measured in QPUs, an internal processing unit we use at Qwak. We charge for build and deployment time, along with the resources you choose to use. Check out the pricing calculator above to estimate your monthly/annual costs.
QPU, or Qwak Processing Unit, is our internal processing unit. To see how QPU’s are calculated, please see our documentation.
No, we have SaaS and hybrid options you can choose from. You're also able to run Qwak on your own AWS instances.
All Python based models are supported.
We support all common data sources, such as Snowflake, Kafka, BigQuery, RedShift, SQL, etc. We do not support data sources that are on-premise. See our documentation for the full list of supported data sources.
Qwak takes the confidentiality and integrity of its customer data very seriously and strives to ensure that data is protected from unauthorized access and is available when needed. Additionally, our assumption is that all data added into the platform by our customers is potentially PII / sensitive data, and is therefore treated as such.
Say goodbye to complex MLOps
Chat with us to see the platform live and discover how we can help simplify your ML journey.
