Arcee AI migrates to Together AI for dedicated inference endpoints
Action Required
Arcee AI’s operational costs and engineering overhead have been significantly reduced, allowing them to focus on product innovation and development.
AI Impact Summary
Arcee AI has migrated its specialized small language models from AWS EKS to Together Dedicated Endpoints to address challenges with infrastructure management, high GPU costs, and difficulty procuring GPUs. This shift has resulted in significant improvements in performance, including reduced latency and increased throughput, alongside simplified operations and a more cost-effective solution. This migration demonstrates the value of managed GPU deployments for enterprises seeking to optimize their AI inference workloads.
Affected Systems
- Date
- Date not specified
- Change type
- capability
- Severity
- high