Tune

Tune

Tune is an enterprise GenAI stack from NimbleBox that helps teams fine-tune, deploy, and run open-source large language models on their own cloud or on-prem infrastructure. The platform centers on Tune Studio for model experimentation and fine-tuning, Tune Chat for customizable AI assistants, and professional services for organizations that want hands-on help.

Tune Studio gives developers a playground to test LLMs, save high-quality interaction datasets, fine-tune models on dedicated GPU hardware, and deploy through public APIs or inference engines like TGI, vLLM, and Triton. Supported base models include Llama 3.1, Qwen 2, Gemma 2, Mixtral, and others.

The company positions itself for enterprises that need data ownership, compliance, and flexibility beyond closed-source APIs. Tune reports SOC 2 Type 2, HIPAA, and ISO 27001 compliance, with options for dedicated cloud, user cloud, and on-premises deployment.

Top Features:
  1. Fine-tune open-source LLMs like Llama 3.1, Qwen 2, Gemma 2, and Mixtral on dedicated GPU hardware

  2. Deploy models through public APIs or inference stacks including TGI, vLLM, and Triton

  3. Tune Studio playground to test models and save interaction datasets for training

  4. Tune Chat for customizable AI assistants with document and web search support

  5. Enterprise deployment on dedicated cloud, user cloud, or on-prem with SOC 2, HIPAA, and ISO 27001 compliance

Pros:
  1. Supports fine-tuning and deploying popular open-source LLMs on your own infrastructure.

  2. Free tier includes both Tune Chat and Tune Studio with meaningful limits.

  3. Enterprise compliance options include SOC 2, HIPAA, and ISO 27001.

Cons:
  1. Token and GPU usage beyond plan limits requires wallet credits.

  2. Enterprise pricing requires contacting sales.

  3. The tunehq.ai homepage currently shows a site-not-found page, though blog and product subdomains remain active.

FAQs:

What products does Tune offer?

Tune offers Tune Studio for LLM fine-tuning and deployment, Tune Chat for customizable AI assistants, and enterprise services for custom model work and on-premises setups.

Which models can I fine-tune in Tune Studio?

Tune Studio supports fine-tuning on select open-source models including Llama 3.1 variants, Qwen 2, Gemma 2, Mixtral, and others listed in its documentation.

Does Tune offer a free plan?

Yes. Tune has a Free plan at $0 per user per month with Tune Chat, playground access, and limited deploy and fine-tune jobs. A Pro plan adds full model access and higher limits.

Is Tune suitable for enterprise deployments?

Yes. Tune offers enterprise plans with dedicated or on-prem deployment, SSO, 24x7 support, and compliance certifications including SOC 2 Type 2, HIPAA, and ISO 27001.

How does Tune pricing work for inference?

Beyond subscription plans, Tune charges for tokens and machine usage through wallet credits. Some models are free for a limited time while others are billed per million tokens.

Pricing:

Freemium

Tags:

Generative AI
LLM
Fine-Tuning
Deployment
Enterprise Security
Open Source Models
Cloud Management

Tech used:

React

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