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ML OPS Platform
Model Training & Deployment
Model training, fine-tuning, deployment. Versioning, A/B testing, inference.
TAM 2024
$1.5B
Market Size
TAM 2030
$8.5B
33.5% CAGR
DEV TIME
4W
Build period
TEAM
5
Engineers
Capabilities
Why Choose ML OPS Platform
AI-Powered Core
Built on SAIL's enterprise AI infrastructure with Very High token usage
Enterprise Ready
High enterprise fit with compliance-ready architecture
Market Validated
Targeting $1.5B market with 33.5% growth
Clear ROI
Revenue potential of $25K-200K/year
Technology Stack
PythonMLflowKubeflowFastAPIPostgreSQLPyTorchCUDA
SAIL Dependencies
GPU InfrastructureObservabilityData Studio
Competitive Landscape
Weights & Biases$250M
Neptune.ai$12M
Comet$50M
Investment Overview
$100K-150K
Development Cost
Week 39-42
Development Timeline
5 People
Team Size Required
Frequently Asked Questions
Model training, fine-tuning, deployment. Versioning, A/B testing, inference.
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