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Marketplace › Large Language Model Operationalization (LLMOps) Software › Together  · Together alternatives

Together

The fastest cloud platform for building, deploying, and scaling generative AI applications

Large Language Model Operationalization (LLMOps) Software
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Category
Software
Deployment
Cloud
API Access
Yes, comprehensive API for model inference and deployment management

About Together

Together.ai is a high-performance cloud platform purpose-built for generative AI innovation. It enables developers and enterprises to build, train, fine-tune, and deploy large language models and other generative AI applications with exceptional speed and reliability. The platform provides access to optimized infrastructure, pre-trained models, and development tools that eliminate bottlenecks in AI workflows. Together.ai supports both open-source and proprietary models, offering flexible deployment options for research and production use cases. When integrated with AiDOOS, Together.ai enhances governance through centralized model management, accelerates time-to-market via streamlined deployment pipelines, optimizes infrastructure costs with intelligent resource allocation, and scales seamlessly across distributed teams. The platform's API-first architecture enables seamless integration with existing development workflows, while its scalable infrastructure ensures consistent performance even under demanding computational loads.

Challenges It Solves

  • Building and deploying generative AI models requires specialized infrastructure and expertise
  • High computational costs and inefficient resource utilization slow down AI innovation cycles
  • Limited access to optimized model architectures and inference optimization techniques
  • Scaling AI applications across teams and regions introduces complexity and latency
  • Lack of unified platform for model development, testing, and production deployment
64
Faster time-to-market for AI-powered applications
48
Reduced infrastructure and operational costs
35
Improved model performance and inference speed

Use Cases

Enterprise AI Application Development

Organizations build custom generative AI applications like chatbots, content generation, and document analysis. Together.ai provides the infrastructure and model access needed to accelerate development cycles.

72% Launch production AI features in weeks

Model Fine-Tuning & Customization

Teams fine-tune pre-trained models on proprietary datasets to achieve domain-specific performance. The platform offers optimized training infrastructure and distributed compute capabilities.

58% Achieve 30% improvement in task-specific accuracy

Research & Experimentation

ML researchers and data scientists experiment with novel architectures and hyperparameters without managing infrastructure. Together.ai abstracts away DevOps complexity.

81% Focus entirely on model innovation and research

Multi-Tenant SaaS Platforms

SaaS providers embed generative AI features into products through Together.ai's scalable APIs. The platform handles variable demand and ensures consistent performance.

65% Serve thousands of concurrent users reliably

Real-Time Analytics & Insights

Enterprises generate AI-powered insights from text, images, and structured data in real-time. Together.ai's low-latency inference enables interactive applications.

77% Deliver insights to end-users in under 500ms

Pricing

Pricing available on request

Together pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.

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Key Features

High-Performance Inference Engine

Lightning-fast model inference optimized for scale

Sub-100ms latency for enterprise workloads

Multi-Model Support

Deploy open-source and proprietary models seamlessly

Support for Llama, Mixtral, Falcon, and 100+ models

Fine-Tuning & Training

Customize models for specific business needs

40% faster fine-tuning with optimized pipelines

Distributed Computing

Automatic scaling across multiple GPUs and regions

Horizontal scaling for unlimited concurrent requests

API-First Architecture

Simple REST and gRPC APIs for easy integration

Deploy production models in minutes, not weeks

Cost Optimization

Pay-per-token pricing with no hidden infrastructure fees

50% lower costs compared to traditional cloud providers

Reviews

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Enterprise Readiness

Data Encryption
Access Control
Model & Data Privacy
Audit Logging
Compliance Support

Integrations

7 total apps

Direct integration with Hugging Face Model Hub for seamless model discovery and deployment

Native support for LangChain framework for building AI applications with minimal code

Standard HTTP APIs enable integration with any application stack or programming language

Drop-in replacement for OpenAI API endpoint for simplified migration and compatibility

Containerized deployment support for on-premise and hybrid cloud architectures

Integration with monitoring and observability tools for production AI workflows

Native cloud provider integrations for multi-cloud AI deployment strategies

AiDOOS Managed Deployment

Deploy Together in

AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.

Deployments
Adoption rate
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Time to value

Prerequisites

Configuration Options

Virtual Delivery Center · A new delivery category

A Virtual Delivery Center for Together

Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.

  • Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
  • Refundable on unused Delivery Units, anytime — no questions asked
  • Re-delivery guarantee on acceptance miss
  • Pre-flight delivery sizing — you see the plan before you commit

How a Virtual Delivery Center delivers Together

Outcome-based delivery via AiDOOS’s VDC model.  Why VDC vs traditional consulting? →

Outcome-Based

Pay for results, not hours

Milestone-Driven

Clear deliverables at each phase

Expert Network

Access to certified specialists

Implementation Timeline

1
Discover
Requirements & assessment
2
Integrate
Setup & data migration
3
Validate
Testing & security audit
4
Rollout
Deployment & training
5
Optimize
Performance tuning
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Frequently Asked Questions

What models does Together.ai support?
Together.ai supports 100+ open-source and proprietary models including Llama 2, Mixtral, Falcon, and custom fine-tuned models. You can deploy any model compatible with standard frameworks like PyTorch and TensorFlow.
How does Together.ai pricing work?
Together.ai uses transparent pay-per-token pricing with no hidden infrastructure fees. You pay only for the compute resources consumed during inference and training, with volume discounts available for enterprise customers.
Can I fine-tune models on Together.ai?
Yes. Together.ai provides managed fine-tuning infrastructure with optimized training pipelines. You can fine-tune models on proprietary datasets while maintaining data privacy and security.
How does AiDOOS enhance Together.ai deployment?
AiDOOS provides governance, cost optimization, and multi-team orchestration on top of Together.ai. It enables centralized model management, automated scaling, budget controls, and seamless integration across your AI development workflow.
What is the typical inference latency?
Together.ai delivers sub-100ms latency for most models with optimized GPU infrastructure. Actual latency depends on model size, input complexity, and traffic patterns.
Does Together.ai offer on-premise deployment?
Together.ai is a cloud-native platform. For on-premise requirements, AiDOOS provides hybrid deployment options that bridge cloud and on-premise infrastructure.

Quick Stats

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Vendor

Customer Success Stories

Real results from enterprises deployed through AiDOOS

Leading Enterprise AI Team
"Together.ai reduced our model deployment time from 6 weeks to 3 days. The infrastructure performance and ease of API integration enabled us to launch AI features 10x faster than competitors."
— ML Engineering Director
AI-Powered SaaS Startup
"Switching to Together.ai cut our infrastructure costs by 60% while improving inference latency. We can now serve 1M+ API calls daily with consistent sub-100ms response times."
— Founder & CTO
Research Institution
"Together.ai abstracted away infrastructure complexity, allowing our team to focus entirely on model research. We experimented with 50+ model variants in 3 months without DevOps overhead."
— AI Research Lead

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