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AI · head to head

Banana vs Neptune.ai

Banana logo

Banana

AI

ML inference at scale

From
$1200/month
Free plan
No
Neptune.ai logo

Neptune.ai

Machine Learning

Metadata store for MLOps

From
Free
Free plan
Yes

The short version

  • Only Neptune.ai has a free tier, so it costs nothing to try first.
  • Each has a real cost: Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time; Neptune.ai free tier limited to 100 hours per month, exhausted quickly with serious ML work
  • They diverge on capability: Banana covers GPU inference, Neptune.ai covers Experiment tracking.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Banana and Neptune.ai actually diverge.

Attributes where Banana and Neptune.ai differ
AttributeBananaNeptune.ai
Starting price$1200/monthFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsCloud, ApiWeb, Self-hosted
CategoryAIMachine Learning
Founded20212017

Identical on both: 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 Banana

  • GPU inference
  • Auto-scaling
  • Docker deployment
  • Low latency
  • REST API
  • Python SDK
  • Cloud support
  • Api support

Only in Neptune.ai

  • Experiment tracking
  • Model registry
  • Metadata logging
  • Comparison views
  • Custom dashboards
  • PyTorch
  • TensorFlow
  • Keras

What people use each for

The jobs each tool is most often brought in to do.

Banana

  • Historically, serverless GPU inference for machine learning modelsnot Neptune.ai
  • Migration reference for teams that ran models on Banana before the 2024 shutdownnot Neptune.ai

Neptune.ai

  • Machine learningnot Banana
  • Data analysisnot Banana
  • Model trainingnot Banana
  • Predictive analyticsnot Banana

Where each one falls short

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

Banana

  • Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
  • The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
  • The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase

Neptune.ai

  • Free tier limited to 100 hours per month, exhausted quickly with serious ML work
  • Lacks hyperparameter sweeps compared to Weights and Biases
  • No pipeline orchestration or broader MLOps lifecycle management
  • Dashboard visualization limitations - automatic resizing affects visualization order and size
  • Cloud-based SaaS only (as of last available service) requires internet connectivity

Pricing, plan by plan

Banana

$1200/month
  • Team$1200/month
    • 10 team members
    • 5 projects
    • 50 max parallel GPUs
  • Enterprise$null/custom
    • Custom seat limit
    • Custom GPU configuration

Neptune.ai

Free

No published plan breakdown. See the Neptune.ai review.

Which should you pick?

Choose Banana if

  • You need gpu inference.
  • You work on Cloud, Api.
  • You also want auto-scaling.

Choose Neptune.ai if

  • You need experiment tracking.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want model registry.

Questions people ask

Is Banana or Neptune.ai better?
Neither clearly leads. Banana starts at $1200/month and Neptune.ai at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Banana or Neptune.ai?
Neptune.ai has a free tier; the other does not. Paid plans start at $1200/month for Banana and Free for Neptune.ai.
Does Banana or Neptune.ai run on more platforms?
Banana runs on Cloud, Api. Neptune.ai runs on Web, Self-hosted.
Can I use Neptune.ai for free?
Yes. Neptune.ai has a free tier, so you can try it without paying. Banana starts at $1200/month.
What is Banana best used for?
Banana is most often used for historically, serverless gpu inference for machine learning models, migration reference for teams that ran models on banana before the 2024 shutdown. Of those, historically, serverless gpu inference for machine learning models and migration reference for teams that ran models on banana before the 2024 shutdown are not what Neptune.ai is typically brought in for.
What can Banana do that Neptune.ai cannot?
Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency. Neptune.ai covers Experiment tracking, Model registry, Metadata logging, Comparison views.

Answered from the vendors’ own pages

Banana: How much does Banana's Team plan cost?

The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.

Source
Neptune.ai: Does Neptune.ai support self-hosting?

Yes. Neptune can be self-hosted on a Kubernetes cluster with ClickHouse, MySQL, and Redis dependencies, allowing organizations to maintain full data control.

Source
Banana: What is the maximum team size on Banana's Team plan?

The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.

Source
Neptune.ai: What machine learning frameworks does Neptune integrate with?

Neptune integrates with PyTorch, TensorFlow, Keras, scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, and Optuna for hyperparameter optimization.

Source
Banana: Does Banana offer an Enterprise plan with custom pricing?

Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.

Source
Neptune.ai: What is the cost for a team of 10 data scientists?

Neptune's Team plan costs $49 per user per month, resulting in $490/month for 10 users, comparable to Weights and Biases at $50/user.

Source
Neptune.ai: When is Neptune.ai shutting down?

Neptune.ai is shutting down its external SaaS service on March 5, 2026, following its acquisition by OpenAI in December 2025. Customers must export and migrate data before that date.

Source
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