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Models: MLOps solution
Experiments
Track and visualize your ML experiments
Sweeps
Optimize your hyperparameters
Registry
Publish and share your ML models and datasets
Automations
Trigger workflows automatically
Launch
Package and run your ML workflow jobs
Weave: LLMOps solution
Traces
Explore and debug LLM applications
Evaluations
Rigorous evaluations of GenAI applications
Core platform
Artifacts
Version and manage your ML pipelines
Tables
Visualize and explore your ML data
Reports
Document and share your ML insights
Solutions
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Use cases
Develop with LLMs
Train LLMs
Fine-tune LLMs
Computer Vision
Time Series
Recommender Systems
Classification & Regression
Develop with LLMs
Train LLMs
Fine-tune LLMs
Computer Vision
Time Series
Recommender Systems
Classification & Regression
Industries
Autonomous Vehicles
Financial Services
Scientific Research
Communications
Public Sector
Healthcare and Life Sciences
Academic Research
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Financial Services
Scientific Research
Communications
Public Sector
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Academic Research
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MLOps For Enterprise
W&B For Teams
Deployment Options
Build vs. Buy
MLOps Maturity Assessment
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MLOps For Enterprise
W&B For Teams
Deployment Options
Build vs. Buy
MLOps Maturity Assessment
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The AI Developer Platform
Most cost-efficient
Enterprise
(Multi-tenant SaaS)
Multi-tenant and scalable, fully-managed SaaS infrastructure in GCP, providing economies of scale and simpler setup.
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Autoscaling multi-tenant infra in GCP
Economies of scale
No Infra and SRE overhead
Shared VPC and IAM
Shared metadata and data storage
Per-team Secure Storage Connector
SSO and RBAC
Managed support at scale, and more
Autoscaling multi-tenant infra in GCP
Economies of scale
No Infra and SRE overhead
Shared VPC and IAM
Shared metadata and data storage
Per-team Secure Storage Connector
Connect securely to the data in your own cloud blob storage
SSO and RBAC
Managed support at scale, and more
Most secure with global infrastructure
Recommended
Recommended
Dedicated
(Single-tenant SaaS)
Single-tenant and isolated, fully-managed SaaS in the cloud and region of customer’s choice, with required governance capabilities.
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Choice of cloud (AWS, GCP, Azure) and region
No Infra and SRE overhead
Per-deployment VPC and IAM
Per-deployment metadata and data storage
Per-deployment and Per-team Secure Storage Connector
SSO and RBAC
Audit logs
Advanced security options
Deployment size per usage
Dedicated support channel, and more
Choice of cloud (AWS, GCP, Azure) and region
No Infra and SRE overhead
Per-deployment VPC and IAM
Per-deployment metadata and data storage
Per-deployment and Per-team Secure Storage Connector
SSO and RBAC
Audit logs
Advanced security options
Deployment size per usage
Dedicated support channel, and more
Most appropriate for non-cloud and air-gapped
Customer managed
(Self-hosted)
Single-tenant deployment in customer-managed environment for maximum control by customer infra and SRE teams.
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Deploy in your infrastructure
Best suited for Kubernetes outside AWS, GCP and Azure
Requires its own database
Fully managed by your Infra and SRE team
SSO and RBAC
Audit logs
Advanced security options
Requires minimum annual commitment
Deploy in your infrastructure
Best suited for Kubernetes outside AWS, GCP and Azure
Requires its own database
Fully managed by your Infra and SRE team
SSO and RBAC
Audit logs
Advanced security options
Requires minimum annual commitment
Platform
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Experiments
Lightweight experiment tracking
Reports
Collaborative dashboards
Artifacts
Dataset and model versioning
Tables
Interactive data visualization
Sweeps
Hyperparameter optimization
Models
Centralized model registry
Launch
Automated ML workflows
Prompts
LLMOps and prompt engineering
Monitoring
Observability for production ML
Weave
Interactive ML app builder
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