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Machine Learning · head to head

Pachyderm vs Together AI

P

Pachyderm

Machine Learning

Data versioning and container pipelines that run on your Kubernetes cluster

From
Free
Free plan
Yes
Full reviewWebsite
Together AI logo

Together AI

AI

Open-source AI at scale

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Pachyderm it runs only on Kubernetes, so operating it means someone who can debug pods, storage classes and node pressure, and on a team without that person a cluster problem and an ML outage are the same event.; Together AI free tier limits not clearly specified in pricing documentation
  • They diverge on capability: Pachyderm covers Versioned file system, Together AI covers Open-source models.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Pachyderm and Together AI actually diverge.

Attributes where Pachyderm and Together AI differ
AttributePachydermTogether AI
Pricing modelfreemiumusage-based
PlatformsLinuxApi, Cloud
CategoryMachine LearningAI
Founded20142022

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Pachyderm

  • Versioned file system
  • Datum-based incremental processing
  • Container pipelines
  • Automatic provenance
  • Parallel execution
  • S3 gateway
  • Enterprise authentication
  • Object storage backends

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.

Pachyderm

  • Reprocessing a growing archive of images or documents where a full pass every night would be wasteful and only the new files matternot Together AI
  • Regulated pipelines where an auditor will ask which exact input files and which code version produced a given resultnot Together AI
  • Genomics and scientific workflows built from existing command line tools that are easier to containerise than to rewritenot Together AI
  • Teams that already run Kubernetes and want data lineage without adopting a full commercial ML platformnot Together AI

Together AI

  • LLM inference for production AI applicationsnot Pachyderm
  • Content generation at scalenot Pachyderm
  • Code execution and embeddingsnot Pachyderm
  • Model fine-tuning and trainingnot Pachyderm
  • Startup and enterprise AI deploymentnot Pachyderm

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Pachyderm

  • It runs only on Kubernetes, so operating it means someone who can debug pods, storage classes and node pressure, and on a team without that person a cluster problem and an ML outage are the same event.
  • Data is held in Pachyderm's content-addressed repositories rather than as plain files in a bucket, so every other tool reaches it through the client or the S3 gateway and migrating away is a full export rather than a redirect.
  • The glob pattern that decides the unit of parallel work is the most consequential line in a pipeline specification, and getting it wrong produces either one enormous serial job or millions of tiny ones whose container start-up dominates the runtime.
  • Compute is billed by your cloud provider, not by Pachyderm, so a platform that looks inexpensive on the licence line runs on a cluster that has to be sized for peak pipeline load and, for training work, carries GPU nodes.
  • The project's direction now sits inside a large hardware vendor's portfolio following the 2023 acquisition, and a team adopting the community edition has no contractual claim on its continued development.

Together AI

  • Free tier limits not clearly specified in pricing documentation
  • Pricing varies significantly by model and use case
  • Requires account setup for production access
  • Batch API discounts apply only to non-urgent workloads

Pricing, plan by plan

Pachyderm

Free
  • CommunityFree
    • Core features
    • Community support
  • EnterpriseFree
    • Advanced security
    • Premium support
    • SLAs

Together AI

Free
  • Serverless Inference$0.03/1M input tokens
    • Chat and Vision models
    • Image generation
    • Video generation
  • Provisioned Throughput$21600/month
    • Up to 83% savings vs commercial alternatives
    • Reserved capacity
    • Guaranteed throughput
  • Dedicated Inference$5.49/hour
    • H100 GPU instance
    • Single-tenant deployment
    • No resource sharing
  • GPU Clusters$3.99/GPU-hour
    • On-demand capacity
    • Volume discounts available
    • Reserved options with up to 35% savings

Which should you pick?

Choose Pachyderm if

  • You need versioned file system.
  • You want to start without paying.
  • You work on Linux.
  • You also want datum-based incremental processing.
Pachyderm review

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.
Together AI review

Questions people ask

Is Pachyderm or Together AI better?
Neither clearly leads. Pachyderm 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, Pachyderm or Together AI?
Pachyderm starts at Free and Together AI at Free.
Does Pachyderm or Together AI run on more platforms?
Pachyderm runs on Linux. Together AI runs on Api, Cloud.
Can I use Pachyderm for free?
Both have a free tier, so you can try either at no cost before committing.
What is Pachyderm best used for?
Pachyderm is most often used for reprocessing a growing archive of images or documents where a full pass every night would be wasteful and only the new files matter, regulated pipelines where an auditor will ask which exact input files and which code version produced a given result, genomics and scientific workflows built from existing command line tools that are easier to containerise than to rewrite, teams that already run kubernetes and want data lineage without adopting a full commercial ml platform. Of those, reprocessing a growing archive of images or documents where a full pass every night would be wasteful and only the new files matter and regulated pipelines where an auditor will ask which exact input files and which code version produced a given result are not what Together AI is typically brought in for.
What can Pachyderm do that Together AI cannot?
Pachyderm covers Versioned file system, Datum-based incremental processing, Container pipelines, Automatic provenance. Together AI covers Open-source models, Fine-tuning, Fast inference, Embeddings.

Answered from the vendors’ own pages

Pachyderm: Is Pachyderm open source?

The community edition is, under Apache 2.0. Authentication, role-based access control, the console and multi-tenancy sit behind an enterprise licence key, which is the set of features most organisations need once more than one team uses it.

Together AI: Does Together AI offer a free tier?

Yes, Together AI advertises 'Start for free, scale on demand,' but specific free tier usage limits are not detailed on the pricing page.

Source
Pachyderm: Do I need Kubernetes to run it?

Yes. There is no non-Kubernetes deployment. A local single-node install exists for evaluation, but anything real is a cluster with object storage behind it.

Together AI: What are Together AI's highest model prices?

Serverless inference pricing ranges from free for base models up to $4.40 per 1M input tokens for premium models. Video generation costs $0.14 to $3.20 per video depending on resolution.

Source
Pachyderm: How is it different from DVC?

DVC is a command line tool a person runs alongside Git, with no server. Pachyderm is a server that owns the data and schedules the work centrally. DVC records what you did; Pachyderm does it and records it.

Together AI: How much can I save with Provisioned Throughput?

Together AI offers up to 83% savings compared to commercial alternatives when using their Provisioned Throughput option with reserved capacity.

Source
Pachyderm: What does it actually cost to run?

The licence is separate from the infrastructure. You pay your cloud provider for the Kubernetes nodes that run every pipeline pod and for the object storage holding every version of every data set, and that bill grows with history as well as with size.

Together AI: What is Together AI's fine-tuning pricing?

Standard fine-tuning costs $0.48 to $2.90 per 1M tokens depending on model size, with a minimum charge of $4.00 per job.

Source
Pachyderm: Can I serve models with it?

No. It is a batch data and training pipeline system. Serving is a separate tool and a separate deployment.

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