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

#ai #api #javascript #python

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
  • Zero egress fees for moving data between regions
  • SOC 2 Type II compliance, HIPAA-aligned options

Pricing: $0.16 per GiB/month for shared filesystem storage (from Together.ai's official pricing page, accessed March 2026)

That means 100 GB of storage = $16/month, on top of your inference costs. For a team training large models or managing datasets at scale, this might make sense. For most developers calling AI APIs? It's overkill.

The Problem: Platform Complexity Creep

Together.ai started as a simple inference API. Now it has:

  • Serverless Inference
  • Dedicated Inference
  • Batch Inference API
  • GPU Clusters (on-demand + reserved)
  • Code Sandbox
  • Managed Storage (new)
  • Fine-Tuning Platform
  • Model Shaping

Every new product is another pricing tier, another configuration to manage, another potential bill line item. For enterprise ML teams training foundation models, this is a feature. For developers who just want to call an API and get results, it's noise.

Price Comparison: Together.ai vs NexaAPI

Feature Together.ai NexaAPI
Image Generation ~$0.013–$0.035/image (varies by model) $0.003/image
Storage Required $0.16/GiB/month (managed storage add-on) None — no storage fees
Models Available 100+ LLMs, limited image/video 56+ models (image, video, audio, TTS)
Setup Complexity High (GPU clusters, storage volumes, kubectl) 3 lines of code
Free Tier Limited credits Yes
Vendor Lock-in High (storage volumes, proprietary SDK) Low (standard REST API + SDK)
Focus Enterprise ML training platform Developer inference API

Sources: Together.ai pricing page (together.ai/pricing), NexaAPI pricing (nexa-api.com), accessed March 2026

The Alternative: NexaAPI — Simple, Cheap, No Storage Overhead

NexaAPI is built for one thing: the cheapest, simplest AI inference API for developers.

No GPU clusters. No managed storage. No fine-tuning pipelines. Just 56+ AI models (image, video, audio, text-to-speech, AI tools) at the lowest prices in the market — at 1/5th of official API prices.

Python Example — Generate an Image in 3 Lines 

# Install: pip install nexaapi
from nexaapi import NexaAPI

client = NexaAPI(api_key='YOUR_API_KEY')

# Generate an image — no storage setup, no infrastructure, just one API call
response = client.image.generate(
    model='flux-schnell',  # or any of 56+ models
    prompt='A futuristic cityscape at sunset',
    width=1024,
    height=1024
)

print(response.url)  # Direct image URL — no managed storage needed
# Cost: $0.003 per image. That's it.
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No kubectl. No storage volumes. No managed infrastructure. Just results.

JavaScript / Node.js Example 

// Install: npm install nexaapi
import NexaAPI from 'nexaapi';

const client = new NexaAPI({ apiKey: 'YOUR_API_KEY' });

async function generateImage() {
  // No storage config, no infrastructure — just call the API
  const response = await client.image.generate({
    model: 'flux-schnell',
    prompt: 'A futuristic cityscape at sunset',
    width: 1024,
    height: 1024
  });

  console.log(response.url); // Direct URL returned instantly
  // Cost: $0.003 per image. No storage fees.
}

generateImage();
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Who Should Use Together.ai Managed Storage?

To be fair: Together.ai's managed storage does make sense for:

  • Large ML teams training foundation models on 100s of GPUs
  • Organizations with strict compliance requirements (HIPAA, SOC 2)
  • Teams that need to move multi-terabyte datasets between regions frequently
  • Enterprise customers with dedicated GPU cluster contracts

If that's you, Together.ai's infrastructure offering is genuinely impressive.

But if you're a developer or startup who wants to:

  • Generate images, videos, or audio via API
  • Run LLM inference without managing infrastructure
  • Keep costs predictable and low
  • Ship fast without DevOps overhead

...then you don't need managed storage. You need a simple, cheap inference API.

Conclusion

Together.ai is evolving into a full-stack ML infrastructure platform. That's great for enterprise customers. But for developers who just want to call AI models, the platform is getting more complex — and more expensive — with every new product launch.

NexaAPI is the opposite: laser-focused on giving developers the cheapest, simplest access to 56+ AI models. No storage fees. No infrastructure complexity. No vendor lock-in.

Try NexaAPI Free Today

56+ AI models. Lowest prices anywhere. No storage overhead. Just results.

Reference: Together.ai Managed Storage | Together.ai Pricing

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