In the rapidly advancing field of artificial intelligence, developers demand robust platforms for efficient model deployment, and this is where Together AI comes through.
Together AI emerges as a leading provider of AI cloud services, enabling teams to train, fine-tune, and run generative models at scale.
As a result, it enables creators to concentrate on groundbreaking ideas instead of tackling infrastructure hurdles.
What Is Together AI?
Together AI stands out as a research-driven AI acceleration cloud, founded in 2020 by experts in machine learning. The company builds purpose-built GPU infrastructure that supports the full AI lifecycle.
Accordingly, Together AI combines the adaptability of open-source with top-tier enterprise performance, appealing to both startups and major corporations.
How Together AI Works
Together AI streamlines AI workflows through a seamless platform. First and foremost, users select from over 200 generative models and deploy them via simple application programming interfaces (APIs).
Then, the system handles inference, fine-tuning, or large-scale training on high-performance GPU clusters.
Its OpenAI-compatible endpoints also make switching from proprietary systems simple.
This active integration ensures that developers customise models effortlessly, adapting them to specific tasks like chat or image generation.
Key Features and Benefits
Together delivers standout features that enhance productivity. For instance, NVIDIA-powered GPUs, including GB200 and H100, provide up to 4x faster inference compared to competitors.
Additionally, custom CUDA kernels optimise operations, boosting training speeds by 24%.
Advantages encompass costs 11 times lower than GPT-4o, complete intellectual property control, and freedom from vendor dependency.
Furthermore, Together offers SOC 2 and HIPAA compliance for secure deployments. With 99.9% uptime and scalable clusters from 16 to 1000+ GPUs, it proves ideal for massive workloads.
Supported Models and Recent Developments
Together supports diverse open-source models, such as Llama-3, DeepSeek-R1, and Kimi K2, spanning multimodal applications.
In 2025, the platform integrated NVIDIA GB200 racks for trillion-parameter training and launched Kimi K2 at $1/M input tokens.
Therefore, users access cutting-edge tools for autonomous workflows and reasoning tasks.
Recent funding of $305 million in Series B shows its growth, securing 200 MW of power for expanded infrastructure.
User Experiences
Customers praise Together for its efficiency. Hedra slashed AI video generation costs by 60%, while Arcee AI unlocked versatile inference capabilities.
These stories highlight how Together transforms real-world projects.
In conclusion, Together redefines AI cloud services with speed, affordability, and control.
