Zerve Alternatives

Securely deploy and run GenAI and Large Language Models within your own architecture, with fine-grained GPU control and accelerated data science workflows.
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Anyscale

If you're looking for another Zerve alternative, Anyscale is a top option. The platform is geared for building, deploying and scaling AI models, with a promise of top performance and efficiency. It can handle a broad range of AI models, including LLMs, and can run in a variety of cloud environments as well as on-premises. Anyscale has security and governance controls, making it a good option for enterprise customers, and it has native support for popular IDEs and persisted storage.

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ClearGPT

Another option worth considering is ClearGPT, an enterprise-focused platform for internal use. It's designed to handle security, performance and data governance issues while delivering the best model performance and customization. ClearGPT has no data leakage and supports role-based access and data governance, so it's a good option for companies that want to build AI internally without vendor lock-in.

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Predibase

If you need to fine-tune and serve large language models without breaking the bank, Predibase is a good option. It can fine-tune open-source LLMs and offers a relatively low-cost serving foundation that's SOC-2 compliant. With support for techniques like quantization and low-rank adaptation, Predibase is a good option for a variety of AI tasks, including classification and code generation.

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DataRobot AI Platform

Last, DataRobot AI Platform combines generative and predictive workflows, letting you innovate quickly and tap into a deeper ecosystem. It's a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. DataRobot speeds up AI project delivery with its enterprise-grade governance and monitoring. That's a good option for teams that want to improve productivity and control.

More Alternatives to Zerve

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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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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.

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Dayzero

Hyper-personalized enterprise AI applications automate workflows, increase productivity, and speed time to market with custom Large Language Models and secure deployment.

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Airtrain AI

Experiment with 27+ large language models, fine-tune on your data, and compare results without coding, reducing costs by up to 90%.

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HoneyHive

Collaborative LLMOps environment for testing, evaluating, and deploying GenAI applications, with features for observability, dataset management, and prompt optimization.

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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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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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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LLMStack

Build sophisticated AI applications by chaining multiple large language models, importing diverse data types, and leveraging no-code development.

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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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Writer

Abstracts away AI infrastructure complexity, enabling businesses to focus on AI-first workflows with secure, scalable, and customizable AI applications.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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Lamini

Rapidly develop and manage custom LLMs on proprietary data, optimizing performance and ensuring safety, with flexible deployment options and high-throughput inference.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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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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LangChain

Create and deploy context-aware, reasoning applications using company data and APIs, with tools for building, monitoring, and deploying LLM-based applications.