Software · head to head
DigitalOcean vs Together AI
The short version
- Each has a real cost: DigitalOcean data transfer overage charged at $0.01 per GiB beyond included allowances; Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- They diverge on capability: DigitalOcean covers Droplets (VPS), Together AI covers Open-source models.
Where they differ
Only the attributes on which DigitalOcean and Together AI actually diverge.
| Attribute | DigitalOcean | Together AI |
|---|---|---|
| Platforms | Linux, Cloud (AWS, GCP, Azure backend) | Api, Cloud |
| Founded | 2011 | 2022 |
Identical on both: starting price (Free), pricing model (usage-based), free tier (Yes), user rating (Not yet rated), category (Unknown).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in DigitalOcean
- Droplets (VPS)
- Managed Kubernetes
- App Platform
- Managed Databases
- Spaces (Object Storage)
- Floating IPs
- Load Balancers
- Firewalls
Only in Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Api support
What people use each for
The jobs each tool is most often brought in to do.
DigitalOcean
- Developers seeking affordable VPS starting at $4/month for small applicationsnot Together AI
- Teams deploying containerised workloads with Kubernetes starting at $12/month cluster costnot Together AI
- Data scientists and ML engineers requiring NVIDIA GPU access at $1.91/GPU/hour (committed)not Together AI
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot DigitalOcean
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot DigitalOcean
- Fine tuning open weight models on a per token basisnot DigitalOcean
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
DigitalOcean
- Data transfer overage charged at $0.01 per GiB beyond included allowances
- Free tier includes only 3 static sites; additional static sites require paid upgrade
- Container registry free tier capped at 500 MiB storage; exceeding requires paid tier
- Functions free tier allows 90,000 GiB-seconds monthly; overages billed on usage basis
- GPU Droplets require minimum monthly commitment for lower hourly rates; on-demand significantly more expensive
Together AI
- Fine tuning carries a minimum charge of $4.00 per job regardless of dataset size
- Reserved GPU commitments beyond 180 days are priced by contacting sales with no published rate
- Volume and enterprise discounts are quote only with no published threshold
- Reserved dedicated inference pricing is contact sales while only on demand rates of $5.49 to $8.99 per GPU hour are published
Pricing, plan by plan
DigitalOcean
FreeNo published plan breakdown. See the DigitalOcean review.
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Which should you pick?
Choose DigitalOcean if
- You need droplets (vps).
- You want to start without paying.
- You work on Linux, Cloud (AWS, GCP, Azure backend).
- You also want managed kubernetes.
Choose Together AI if
- You need open-source models.
- You want to start without paying.
- You work on Api, Cloud.
- You also want fine-tuning.
Questions people ask
- Is DigitalOcean or Together AI better?
- Neither clearly leads. DigitalOcean starts at Free and Together AI at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, DigitalOcean or Together AI?
- DigitalOcean starts at Free and Together AI at Free.
- Does DigitalOcean or Together AI run on more platforms?
- DigitalOcean runs on Linux, Cloud (AWS, GCP, Azure backend). Together AI runs on Api, Cloud.
- Can I use DigitalOcean for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is DigitalOcean best used for?
- DigitalOcean is most often used for developers seeking affordable vps starting at $4/month for small applications, teams deploying containerised workloads with kubernetes starting at $12/month cluster cost, data scientists and ml engineers requiring nvidia gpu access at $1.91/gpu/hour (committed). Of those, developers seeking affordable vps starting at $4/month for small applications and teams deploying containerised workloads with kubernetes starting at $12/month cluster cost are not what Together AI is typically brought in for.
- What can DigitalOcean do that Together AI cannot?
- DigitalOcean covers Droplets (VPS), Managed Kubernetes, App Platform, Managed Databases. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.
Related pages
More on DigitalOcean
More on Together AI
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