Together Enterprise Platform
Comprehensive AI platform enabling secure, scalable, and cost-efficient deployment, fine-tuning, and inference of generative AI models in any environment.
Community:
Product Overview
What is Together Enterprise Platform?
Together Enterprise Platform is designed for businesses to manage the full lifecycle of generative AI models—from training and fine-tuning to inference—while maintaining complete control over data and models. It supports deployment on cloud, virtual private clouds (VPC), or on-premises infrastructure, optimizing GPU utilization and reducing operational costs. The platform offers advanced model orchestration, continuous optimization, and access to a broad range of open-source and custom AI models, empowering enterprises to build scalable, secure, and high-performance AI applications.
Key Features
Flexible Deployment Options
Deploy AI workloads securely on Together Cloud, customer VPCs, or on-premises, ensuring data privacy within organizational firewalls.
Continuous Model Optimization
Leverages auto fine-tuning, adaptive speculators, and model distillation to enhance model performance and reduce inference latency.
Extensive Model Support
Access over 200 pre-integrated models including Llama and Mixtral families or bring your own custom models for inference and fine-tuning.
Advanced GPU Orchestration
Efficient GPU resource management with job scheduling, auto-scaling, and traffic control to maximize throughput and minimize costs.
Enterprise-Grade Scalability and Support
New Scale and Enterprise plans provide unlimited rate limits and dedicated support to meet growing organizational needs.
Use Cases
- Enterprise AI Deployment : Run and manage generative AI models securely within private clouds or on-premises infrastructure to comply with data privacy and regulatory requirements.
- Model Fine-Tuning and Experimentation : Easily fine-tune open-source or proprietary models on custom data to tailor AI capabilities to specific business needs.
- High-Performance Inference : Deliver faster AI inference with optimized GPU utilization, reducing latency and operational costs for production AI applications.
- Multi-Model Orchestration : Combine and orchestrate multiple AI models within workflows using the Mixture of Agents approach for improved response quality and scalability.
- Customer Support Automation : Build sophisticated AI-powered chatbots and virtual assistants to provide 24/7 customer service with reduced response times.
- Personalized Recommendations : Implement hyper-personalized product recommendations in retail and e-commerce to boost conversion rates and customer satisfaction.
FAQs
Together Enterprise Platform Alternatives
Humain
Comprehensive AI-native platform delivering end-to-end AI infrastructure, cloud, data, models, and application solutions.
模力方舟
Open-source AI platform providing comprehensive model hosting, inference, training, and deployment services with integrated development tools.
abliteration.ai
Unrestricted LLM inference API for open-weight models with OpenAI/Anthropic SDK compatibility and built-in Policy Gateway for governance.
Unify AI
A platform that streamlines access, comparison, and optimization of large language models through a unified API and dynamic routing.
无问芯穹
Enterprise-grade heterogeneous computing platform enabling efficient deployment of large models across diverse chip architectures.
AIxBlock
Decentralized, self-hosted AI development platform offering secure, cost-efficient access to computing power, AI models, and human validators.
NetMind.AI
Distributed AI computing platform providing scalable model APIs, rapid deployment, and cost-efficient access to global GPU resources.
OpenPipe
A developer-focused platform for fine-tuning, hosting, and managing custom large language models to reduce cost and latency while improving accuracy.