BigML vs CoreWeave
Compare data AI Tools
9% Similar based on 1 shared tag
BigML
End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.
Pricing Free trial, contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
C
CoreWeave
AI cloud with on demand NVIDIA GPUs, fast storage and orchestration, offering transparent per hour rates for latest accelerators and fleet scale for training and inference.
Pricing On demand from $42 per hour GB200 NVL72, B200 from $68.80 per hour
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in BigML
machine-learningautomlapideploymentsgovernance
Shared
cloud
Only in CoreWeave
gpuai-infrastructuretraininginferencekubernetes
Key Features
BigML
- • GUI and REST API for the full ML lifecycle with reproducible resources
- • AutoML and ensembles
- • Time series anomaly detection clustering and topic modeling
- • WhizzML to script and share pipelines
- • Versioned immutable resources
- • Organizations with roles projects and dashboards
CoreWeave
- • On demand NVIDIA fleets including B200 and GB200 classes
- • Per hour pricing published for select SKUs
- • Elastic Kubernetes orchestration and job scaling
- • High performance block and object storage
- • Multi region capacity for training and inference
- • Templates for LLM fine tuning and serving
Use Cases
BigML
- → Stand up a governed ML workflow
- → Automate repeatable training and evaluation with WhizzML
- → Detect anomalies for risk monitoring
- → Forecast demand with time series
- → Cluster customers and products
- → Embed predictions through the REST API
CoreWeave
- → Spin up multi GPU training clusters quickly
- → Serve low latency inference on modern GPUs
- → Run fine tuning and evaluation workflows
- → Burst capacity during peak experiments
- → Disaster recovery or secondary region runs
- → Benchmark new architectures on latest silicon
Perfect For
BigML
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
CoreWeave
ml teams, research labs, SaaS platforms and enterprises needing reliable GPU capacity without building their own data centers
Capabilities
BigML
AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional
CoreWeave
On Demand GPUs Professional
Kubernetes & Storage Professional
Right Sizing & Regions Intermediate
Reservations & Support Professional
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