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Titanml PRICING�

The best GenAI deployments, every time.


Future-proofed AI infrastructure for effortless LLM and RAG deployments every time - so machine learning teams can focus on solving business problems.

Titan Takeoff Inference Layer

For teams looking to build enterprise-grade Generative AI applications and deploy in their secure environment.

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  • Support for all Hugging Face generation models
  • Embedding model support
  • Token streaming
  • Int4 quantization
  • Inference optimization
  • Batching
  • Controlled REGEX and JSON outputs
  • Single and multi-GPU deployment
  • Multi-model deployment
  • NVIDIA, AMD, and Intel GPU and CPU support
  • Optimized multi-threaded Rust server
  • Enhanced integrations
  • Custom legal terms
  • Dedicated, ongoing support

Titan Enterprise RAG Engine

For teams looking to build enterprise-grade, scalable RAG applications and deploy in their secure environment.

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  • Everything in Titan Takeoff Inference Server
  • Vector database
  • Pre-configured RAG application with generation and embedding models
  • Data processing pipelines
  • Multi-category search
  • Conversation and response caching
  • Custom legal terms
  • Customization support
  • Dedicated, ongoing support
FAQ

FAQs

01
Will TitanML work with my current tools and CI/CD?

Yes. TitanML is integrated with many major model hubs including Hugging Face, Langchain, and Determined AI, as well as logging and monitoring tools. Please reach out if you would like a full list of integrations!

02
Which tasks and models does the TitanML Enterprise Inference Stack support?

The TitanML Enterprise Inference Stack supports all major language models and continuously updates support as new models are released. It also supports legacy models such as BERTs.

03
Why is the TitanML Enterprise Inference Stack better than alternatives?

TitanML is laser-focused on producing the best, future-proofed LLMOps infrastructure for ML teams. Unlike alternatives, TitanML marries the best in technology, with a seamless integrated user experience. In short,  ensuring the best deployments, every time.

04
Where can I deploy the TitanML Enterprise Inference Stack?

TitanML models can be deployed on your hardware of choice and on your cloud of your choice. The optimizations applied to the models will be optimal for that hardware. This includes Intel CPUs, NVIDIA GPUs, AMD and AWS Inferentia chips. Unlike alternatives, TitanML optimizes for all major hardware.

05
How much is the TitanML Enterprise Inference Stack?

The TitanML Enterprise Inference Stack is charged per month for use in development and an annual licence while the models are in production - the pricing has been benchmarked so that users experience around 80% cost savings, all thanks to TitanML's compression technology. Please reach out to discuss pricing for your use case.

06
Do you offer support around the TitanML Enterprise Inference Stack?

Yes. We understand that the LLM field is still young so we offer support around the TitanML Enterprise Inference Stack to ensure that our customers are able to make the most of their LLM and RAG investments. This support comes at different levels. As standard, all our clients receive comprehensive training in LLM deployments, in addition to constant support from an expert machine learning engineer.

For teams who would like additional support for their particular use case, we are able to offer a bespoke, more comprehensive support package (this can be helpful to ensure the best approach is taken from the start!).

If you would like to discuss how we can help for your particular use case, please reach out to us.