Software · head to head
Together AI vs Vultr
The short version
- Each has a real cost: Together AI fine tuning carries a minimum charge of $4.00 per job regardless of dataset size; Vultr vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
- They diverge on capability: Together AI covers Open-source models, Vultr covers Cloud servers.
Where they differ
Only the attributes on which Together AI and Vultr actually diverge.
| Attribute | Together AI | Vultr |
|---|---|---|
| Platforms | Api, Cloud | Web, Api, Cli |
| Founded | 2022 | 2014 |
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 Together AI
- Open-source models
- Fine-tuning
- Fast inference
- Embeddings
- REST API
- Python SDK
- OpenAI compatible
- Cloud support
Only in Vultr
- Cloud servers
- Bare metal servers
- Block storage
- Object storage
- Load balancers
- Kubernetes
- Firewalls
- Private networks
Both cover
- Api support
What people use each for
The jobs each tool is most often brought in to do.
Together AI
- Serverless inference against open source chat, vision, embedding, image and video modelsnot Vultr
- Renting dedicated single tenant H100, H200 or B200 GPU clusters by the hournot Vultr
- Fine tuning open weight models on a per token basisnot Vultr
Vultr
- High performance computingnot Together AI
- Game serversnot Together AI
- Streamingnot Together AI
- Database hostingnot Together AI
- Application serversnot Together AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
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
Vultr
- Vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
Pricing, plan by plan
Together AI
Free- FreeFree
- $5 credits
- API access
- Pay-per-use$0.2/per-million-tokens
- All models
- Fine-tuning
Vultr
Free- Cloud Compute$2.5/month
- 512MB RAM
- 10GB SSD
- 500GB bandwidth
- Bare Metal$32/month
- Dedicated hardware
- High performance
- Full root access
Which should you pick?
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.
Choose Vultr if
- You need cloud servers.
- You want to start without paying.
- You work on Web, Api, Cli.
- You also want bare metal servers.
Questions people ask
- Is Together AI or Vultr better?
- Neither clearly leads. Together AI starts at Free and Vultr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Together AI or Vultr?
- Together AI starts at Free and Vultr at Free.
- Does Together AI or Vultr run on more platforms?
- Together AI runs on Api, Cloud. Vultr runs on Web, Api, Cli.
- Can I use Together AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Together AI best used for?
- Together AI is most often used for serverless inference against open source chat, vision, embedding, image and video models, renting dedicated single tenant h100, h200 or b200 gpu clusters by the hour, fine tuning open weight models on a per token basis. Of those, serverless inference against open source chat, vision, embedding, image and video models and renting dedicated single tenant h100, h200 or b200 gpu clusters by the hour are not what Vultr is typically brought in for.
- What can Together AI do that Vultr cannot?
- Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings. Vultr covers Cloud servers, Bare metal servers, Block storage, Object storage. Both handle Api support.
Related pages
More on Together AI
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- Vultr vs Fathom
- Vultr vs Stable Diffusion
- Vultr vs Perplexity
- Vultr vs Arize AI
- Vultr vs Black Forest Labs
- Vultr vs Cartesia
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- Vultr vs PromptLayer
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- Vultr vs AI21 Labs
- Vultr vs Copy.ai
- Vultr vs HeyGen
- Vultr vs Grafana Cloud
- Vultr vs Neon
- Vultr vs DigitalOcean
- Vultr vs AWS (Amazon Web Services)
- Vultr vs Lambda (AWS Serverless)
- Vultr vs Fireworks AI
- Vultr vs Anyscale
- Vultr vs DeepInfra
- Vultr vs Deno Deploy
- Vultr vs Heroku
- Vultr vs Hetzner Cloud
- Vultr vs Linode
- Vultr vs Packer
- Vultr vs Pulumi
- Vultr vs Render
- Vultr vs Upstash
- Vultr vs Vagrant
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