If you are looking for a research-driven AI company providing a cloud platform for training, fine-tuning, and running inference on AI models, Together.AI is the best online source for you because it provides a platform that enables enterprises of all shapes and sizes to pre-train their proprietary models tailored to their workflows and fine-tune open source solutions.
It is a company focused on building an innovative platform aimed at enhancing team collaboration and mental well-being. It offers various tools for effective communication, stress management, and overall team cohesion, which help users boost productivity and employee satisfaction.
Its infrastructure is designed for efficiency which makes it easy for developers and businesses to create high-performance AI-powered solutions. It also enables machine learning engineers and developers to build, fine-tune, and run inferences on AI models with unprecedented speed and efficiency.
It offers a comprehensive suite of products for both individual developers and large enterprises including Together Inference, Together Fine-tuning, Together Custom Models, and Together GPU Clusters. It also prioritizes open-source, allowing users to own their models and data.
Together.AI runs 200+ open-source models on serverless or dedicated instances and leverages advanced technologies like FlashAttention-3 and speculative decoding to optimize performance for tasks such as text generation and image analysis.
This platform prioritizes data security, ensuring that fine-tuned models and proprietary information remain private. It also has a global community to share insights, contribute to open-source projects, and drive advancements in AI.
Together.AI Features
Now we will shortlist Together.AI Features.
- Open-Source Contributions: Publishes leading research, models, and datasets to drive AI innovation.
- Decentralized Cloud Services: Offers scalable and flexible solutions for training, fine-tuning, and deploying AI models.
- Custom Model Training: Supports tailored model training and fine-tuning to meet specific organizational needs.
- Together Inference: Enables running 100+ open-source models on serverless or dedicated instances.
- Together Fine-Tuning: Facilitates proprietary model customization while ensuring data ownership.
- Together GPU Clusters: Provides powerful GPU infrastructure with 16–1000+ high-performance GPUs.
- Scalable AI Deployment: Deploy AI models at scale with advanced cloud-based infrastructure.
- Cutting-Edge Optimization: Features technologies like FlashAttention-2 and Monarch Mixer for enhanced performance.
- Comprehensive Compatibility: Seamless API integration with cloud platforms and private datasets.
- Community-Driven Development: Encourages insights and contributions through the RedPajama project.
Together.AI Pros And Cons
Pros:
- It provides access to over 200 open-source and specialized multimodal models.
- Offers scalable, flexible cloud solutions for training, fine-tuning, and deploying generative AI models.
- It is designed with a user-friendly interface to ensure a seamless experience for all users.
- It allows users to customize models with proprietary data while maintaining ownership
- It provides advanced tools and insights that facilitate effective communication between team members.
- It provides different pricing tiers scaling from individual developers to enterprises.
- Its AI offers scalable GPU access, which reduces the cost of model training and inference.
- Leverage open-source resources to conduct advanced research and develop novel AI applications.
Cons:
- Advanced settings may overwhelm new users.
- Primarily supports English, which may limit multilingual applications.
- Pricing options may overwhelm new users.
Together.AI Pricing
Together AI offers different pricing plans Including Build (starting for entry-level usage), Scale (advanced scaling and support), and Enterprise (customized, secure deployments). Inference starts at $0.034/min, fine-tuning costs vary, and GPU clusters like NVIDIA H100 start at $1.75/hour.
1. Pricing Plans:
Build: Ideal for getting started with fast inference and reliability. This plan includes:
- Access to free models like Llama Vision 11B and FLUX.1 [schnell].
- $1 credit applicable to other models.
- Pay-as-you-go structure with no daily rate limits.
- Capability to handle up to 6,000 requests and 2 million tokens per minute for large language models (LLMs).
- On-demand deployment of dedicated endpoints without rate limits.
- Monitoring dashboard with 24-hour data access.
- Email and in-app chat support.
Scale: Designed for scaling production traffic with reserved GPUs and advanced configurations. This plan offers:
- All features are included in the Build plan.
- Increased capacity of up to 9,000 requests and 5 million tokens per minute for LLMs.
- Premium support, including access via a private Slack channel.
- Monitoring dashboard with 30-day data retention (coming soon).
- Discounts on monthly reserved dedicated GPUs.
- Advanced dedicated endpoint configurations.
- 99% availability Service Level Agreement (SLA) for dedicated endpoints.
- HIPAA compliance.
Enterprise: Tailored for private deployments and large-scale model optimization. This plan includes:
- All features from the Scale plan.
- Customizable rate limits with no token restrictions.
- Virtual Private Cloud (VPC) deployment.
- Enterprise-grade security and compliance measures.
- Monitoring dashboard with one-year data retention (coming soon).
- Continuous model optimization.
- Dedicated success representative.
- 99.9% SLA for dedicated endpoints with geographical redundancy.
- Priority access to advanced hardware, including H100 and H200 GPUs.
- Options for custom regions.
2. Inference Pricing:
Together AI provides access to over 100 leading open-source models across various domains, including chat, multimodal, language, image, code, and embeddings. Inference pricing is based on the hardware type and is charged per minute. For example:
Hosted Instances:
- 1x RTX-6000 48GB: $0.034 per minute.
- 1x L40 48GB: $0.034 per minute.
- 1x L40S 48GB: $0.048 per minute.
- 1x A100 PCIe 80GB: $0.050 per minute.
- 1x A100 SXM 40GB: $0.050 per minute.
- 1x A100 SXM 80GB: $0.054 per minute.
- 1x H100 80GB: $0.098 per minute.
3. Fine-Tuning Pricing:
The cost of fine-tuning is determined by factors such as model size, dataset size, and the number of epochs. Together AI offers an interactive calculator on their pricing page to help estimate these costs.
4. Together GPU Clusters:
For large-scale training and inference tasks, Together AI provides state-of-the-art GPU clusters equipped with NVIDIA Blackwell and Hopper GPUs, interconnected via NVIDIA NVLink and InfiniBand for optimal performance. Pricing varies based on the hardware type. For instance:
- NVIDIA H200 141GB HBM3e: Starting at $2.09 per hour.
- NVIDIA H100 80GB HBM2e: Starting at $1.75 per hour.
- NVIDIA A100 80GB HBM2e: Starting at $1.30 per hour.
Together.AI Use Cases
- Generative AI Development: Train and fine-tune models for text generation, image creation, and NLP.
- Enterprise AI Applications: Develop and deploy tailored AI solutions for business needs.
- Custom Model Building: Create domain-specific AI models for diverse industries.
- High-Performance Inference: Achieve ultra-fast processing for demanding AI tasks.
- Research and Innovation: Utilize open-source resources to explore new AI applications.
- Scalable Solutions: Deploy AI models with flexible serverless or dedicated instances.
- AI for Social Good: Empower non-profits and indie creators with cutting-edge tools for innovative projects.
- Multimodal AI Training: Train AI using multiple architectures for enhanced versatility.
Together.AI Alternatives
Final Thoughts of Together.AI
Together AI is a cutting-edge AI research company revolutionizing the development of generative AI applications. Based in San Francisco and founded in 2022, the company provides a robust platform featuring over 200 open-source and specialized multimodal models for tasks like chat, image processing, and code generation. This platform supports fine-tuning with proprietary data, ensuring customized, secure solutions while prioritizing user privacy. It is known for its transparency and commitment to open-source AI and offers scalable, cost-effective GPU access for efficient model training and deployment.