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Together AI

Together AI

AI InferenceOpen SourceAPI & Developers

Run and fine-tune generative AI models with scalable GPU clusters, so your team spends less time babysitting hardware and more time shipping.

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Together AI

Five minutes spent coaxing a flaky GPU. Ten more refreshing error logs. Multiply by infinity. That's the quiet sabotage of DIY AI infrastructure - draining your hours while your coffee gets cold and your product roadmap gathers dust.

Together AI isn't another science project in the cloud. It's the AI acceleration platform that lets online business owners and AI teams build, fine-tune, and deploy large-scale generative models without sweating the hardware meltdown or runaway costs. You get blazing-fast training and inference on scalable GPU clusters - from tiny sprints to herculean workloads - thanks to their research-driven tech like FlashAttention-3 and Cocktail SGD.

With simple APIs and serverless endpoints, roll out open-source models or custom fine-tuning without a DevOps migraine. Control stays in your hands. Run LoRA-based or full fine-tunes and keep every model as your own IP, no awkward vendor lock-in.

High GPU utilization (up to 75%) means your cloud bill shrinks, your deadlines behave, and your team isn't pulled into hardware drama. AI video, cybersecurity, next-level automations - teams across industries are already using Together AI to launch smarter, faster, and with less expense. It's ideal for business owners who want ownership, scale, and speed, minus the slow bleed of technical headaches.

Best features:

  • Scalable GPU clusters let you expand from single to thousands of GPUs on demand
  • Serverless inference APIs for rapid deployment and easy integration
  • Full and LoRA-based fine-tuning for total model customization
  • High GPU utilization (up to 75%) cuts compute waste and costs
  • Enterprise-grade reliability with secure, global infrastructure
  • Research-backed optimizations (FlashAttention-3, Cocktail SGD) for top-tier performance

Together AI saves your team from death-by-debugging and lets you focus on launching smarter, faster, and cheaper.

Use cases:

  • Training and deploying large-scale generative AI models without infrastructure bottlenecks
  • Rapidly fine-tuning open-source models for e-commerce personalization
  • Scaling AI video content creation with high-performance GPUs
  • Powering real-time cybersecurity threat detection with fast inference
  • Launching SaaS AI products while controlling infrastructure costs
  • Building and owning proprietary AI solutions with flexible deployment

Suited for:

For online business owners, AI teams, and tech leads sick of surprise hardware failures, escalating GPU bills, and slow-to-market models. Perfect for anyone who wants to scale AI confidently while owning their data and models.

Integrations:

PyTorch, TensorFlow, Hugging Face, Python, major cloud storage providers

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