Prem Alternatives

Accelerate personalized Large Language Model deployment with a developer-friendly environment, fine-tuning, and on-premise control, ensuring data sovereignty and customization.
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Dayzero

If you're looking for another Prem alternative, Dayzero is worth a look. It's an enterprise AI platform that offers hyper-personalized applications built on custom LLMs. The platform includes Worx for training and deploying generative AI models, Altimo for AI assistant tasks, and Blox for process automation. Dayzero also integrates with other data sources like LlamaIndex and can be deployed in the cloud or on-premises for maximum data security and regulatory compliance.

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SuperAnnotate

Another alternative is SuperAnnotate, an end-to-end enterprise platform for training, testing and deploying LLMs and other AI models. It's got a customizable interface, sophisticated AI tools and a global marketplace for high-quality training data. The platform can handle a variety of data formats and prioritizes data security and privacy, so it's a good choice for companies that want to accelerate AI work without sacrificing quality.

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Airtrain AI

If you want a no-code option, Airtrain AI is a full-featured platform with tools to manage big data pipelines and LLMs. The platform includes an LLM Playground for fine-tuning models, a Dataset Explorer for data visualization and AI Scoring for assessing model performance. That means AI models are more accessible and affordable, so you can quickly evaluate, fine-tune and deploy them.

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Stack AI

Last, Stack AI is another powerful alternative, with an interface that's designed to be easy to use with drag-and-drop tools and pre-built templates. It's no-code, but it's also got enterprise-level security and can be deployed on-premises. It's flexible for different use cases, ranging from back office automation to student learning, so it's good for companies that want to use AI without a lot of coding.

More Alternatives to Prem

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Together

Accelerate AI model development with optimized training and inference, scalable infrastructure, and collaboration tools for enterprise customers.

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ClearGPT

Secure, customizable, and enterprise-grade AI platform for automating processes, boosting productivity, and enhancing products while protecting IP and data.

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Modelbit

Deploy custom and open-source ML models to autoscaling infrastructure in minutes, with built-in MLOps tools and Git integration for seamless model serving.

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Parallel AI

Select and integrate top AI models, like GPT4 and Mistral, to create knowledgeable AI employees that optimize workflow and boost productivity.

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Predibase

Fine-tune and serve large language models efficiently and cost-effectively, with features like quantization, low-rank adaptation, and memory-efficient distributed training.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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ThirdAI

Run private, custom AI models on commodity hardware with sub-millisecond latency inference, no specialized hardware required, for various applications.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.

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Aible

Deploys custom generative AI applications in minutes, providing fast time-to-delivery and secure access to structured and unstructured data in customers' private clouds.

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Anyscale

Instantly build, run, and scale AI applications with optimal performance and efficiency, leveraging automatic resource allocation and smart instance management.

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Obviously AI

Automate data science tasks to build and deploy industry-leading predictive models in minutes, without coding, for classification, regression, and time series forecasting.

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MonsterGPT

Fine-tune and deploy large language models with a chat interface, simplifying the process and reducing technical setup requirements for developers.

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Openlayer

Build and deploy high-quality AI models with robust testing, evaluation, and observability tools, ensuring reliable performance and trustworthiness in production.

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NexusGPT

Create custom AI agents in minutes without coding, automating workflows and tasks with customizable tools and integrations.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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Eden AI

Access hundreds of AI models through a unified API, easily switching between providers while optimizing costs and performance.

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Replicate

Run open-source machine learning models with one-line deployment, fine-tuning, and custom model support, scaling automatically to meet traffic demands.

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Freeplay

Streamline large language model product development with a unified platform for experimentation, testing, monitoring, and optimization, accelerating development velocity and improving quality.