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Together.ai Adds Managed Storage — Is It Getting Too Complicated (and Expensive)?

Together.ai Adds Managed Storage — Is It Getting Too Complicated (and Expensive)?

via Dev.to Pythonq2408808

Together.ai Adds Managed Storage — Is It Getting Too Complicated (and Expensive)? Published: March 28, 2026 | Tags: ai, api, together-ai, developer-tools, python, javascript Together.ai just announced Managed Storage — high-performance object storage and parallel filesystems optimized for AI workloads, colocated with their GPU clusters. On paper, it sounds impressive: zero egress fees, WEKA/VAST/NVIDIA-backed infrastructure, SOC 2 Type II compliance. But here's the question developers are actually asking: Do I really need this? If you're a developer who just wants to call an AI model API — generate an image, run inference on a prompt, transcribe audio — managed storage adds complexity and cost you probably don't need. Let's break it down. What Is Together.ai Managed Storage? Together.ai's Managed Storage is a paid add-on for their GPU Clusters product. It provides: High-bandwidth parallel filesystems (WEKA, VAST, or NVIDIA Magnum IO) Shared storage volumes colocated with GPU compute Ze

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