Case Study
Transforming Retail AI with SwarmOne
GAP achieved 25x faster training and 16x lower costs by migrating from Databricks to SwarmOne's Autonomous AI Infrastructure Suite.
“SwarmOne boosted personnel efficiency by about 90%, significantly reduced training costs, and enhanced delivery, making us far more competitive in our market.”
Company
GAP Inc.
Industry
Retail & E-commerce
Previous Infrastructure
Databricks on AWS and GCP
The Challenge
Infrastructure Bottlenecks at Fortune 500 Scale
GAP's AI teams were building advanced models for Athleta and GAP brand product recommendations, visual search, and inventory optimization. However, their existing Databricks infrastructure created significant bottlenecks.
- Prohibitive training costs: single model training runs cost $45–$91 on Databricks
- Slow iteration cycles: Athleta models took 20 hours per run; GAP models took 40 hours
- Data scientists spent 40% of their time on DevOps, MLOps, and GPU configuration instead of model development
- Manual GPU provisioning meant paying for idle time and oversized instances
The Solution
Why GAP Chose SwarmOne
- Zero Infrastructure Management: Two lines of code replaced weeks of Databricks configuration
- Intelligent Resource Optimization: SwarmOne's autonomous engine automatically selected optimal GPU types and batch sizes
- Dramatic Cost Reduction: Pay only for active training time, no idle GPU charges
- Multi-Cloud Flexibility: Seamlessly leverage both AWS and GCP resources without manual orchestration
- Instant Deployment: Models moved from experimentation to training in minutes, not days
The Impact
Athleta Models
20 hours per run → 49 minutes | $45.65 → $2.85 per training run
25x
Faster Training
16x
Lower Cost
<5 min
Infrastructure Setup
Zero
Idle GPU Charges
GAP Models
40 hours per run → 2.7 hours | $91.30 → $9.45 per training run
15x
Faster Training
10x
Lower Cost
<5 min
Infrastructure Setup
Zero
Idle GPU Charges
Overall Business Impact
90%
Less Personnel Time
$180-230K
Annual Savings
11.4x
Avg Cost Reduction
“SwarmOne didn't just improve our AI infrastructure - it fundamentally changed what our team can accomplish. We're shipping AI features faster than ever.”
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