Listen to this article
Together AI secures $305 million in Series B funding to expand its AI Acceleration Cloud, supporting open-source AI development and enterprise applications. The company is deploying NVIDIA Blackwell GPUs and scaling its infrastructure to enhance AI model training, inference speed, and efficiency. With a growing user base of 450,000 developers and major enterprises, Together AI strengthens its position in the AI cloud market through cutting-edge research and high-performance computing solutions.
Massive Funding Fuels Together AI’s Next Big Leap
Together AI has secured $305 million in Series B funding, marking a significant expansion of its AI infrastructure. The funding round was led by General Catalyst and co-led by Prosperity7, with participation from NVIDIA, Salesforce Ventures, Kleiner Perkins, and other major investors.
The new capital will accelerate the development of Together AI’s AI Acceleration Cloud, which supports enterprises and developers building AI models with open-source technology. As demand for AI computing power increases, this investment strengthens Together AI’s ability to deliver scalable, high-performance solutions.
The AI Acceleration Cloud That Changes the Game
Together AI focuses on making open-source AI more accessible and efficient. Its AI Acceleration Cloud combines open-source models with advanced infrastructure, allowing developers and enterprises to train and deploy AI systems at scale.
The platform supports over 200 open-source models, including DeepSeek-R1 and Meta’s Llama, which serve as alternatives to proprietary AI solutions. These models benefit from Together AI’s secure and optimized infrastructure, designed to deliver 2-3x faster inference speeds compared to existing hyperscaler solutions.
Together AI’s cloud offers:
- Enterprise-grade inference solutions for AI-driven applications
- AI model training and fine-tuning with cutting-edge optimization techniques
- Agentic workflows that enhance code interpretation and task automation
- Synthetic data generation for model improvement and scalability
Why Enterprises and Developers Are Choosing Together AI
With more than 450,000 developers and AI-native companies relying on Together AI, the platform has become a preferred choice for organizations that require high-performance AI solutions.
Notable enterprises, including Salesforce, Zoom, SK Telecom, Zomato, and The Washington Post, leverage Together AI’s cloud to build and deploy AI models. Businesses benefit from:
- Optimized model performance with lower latency and increased accuracy
- Security-focused infrastructure ensuring data privacy and compliance
- Scalability for AI workloads, enabling large-scale deployments without excessive costs
The company’s investment in open-source AI allows businesses to maintain greater control over their AI models, reducing reliance on proprietary alternatives.
Recommended: Nowadays Uses AI To Make Corporate Event Planning Effortless And Cost-Effective
Expanding AI Infrastructure with Cutting-Edge GPUs
To support the increasing demand for AI computing power, Together AI is expanding its infrastructure with a focus on high-performance hardware. The company has secured 200 MW of power capacity and is deploying optimized NVIDIA Blackwell GPU clusters across multiple North American data centers.
A key development includes a partnership with Hypertec to co-build a 36,000 NVIDIA GB200 NVL72 GPU cluster, enhancing Together AI’s position in the AI cloud market. Additionally, Together AI has introduced Together GPU Clusters, powered by NVIDIA HGX B200 GPUs, delivering up to 90% faster training performance compared to previous-generation systems.
Innovations That Push AI Boundaries
Together AI integrates advanced research into its platform, improving AI efficiency, accuracy, and scalability. The company’s Kernel Collection, developed under the leadership of Chief Scientist Tri Dao, enhances AI performance while lowering operational costs.
Breakthroughs in AI efficiency include:
- FlashAttention-3 kernels, improving memory efficiency and speed
- Mixture of Agents, optimizing AI model interactions
- Medusa and Sequoia, designed to improve inference accuracy
- Hyena and Mamba, advancing AI processing techniques
These innovations enable faster AI training, lower costs, and more efficient deployment, making Together AI a critical player in the AI infrastructure landscape.
What This Means for the Future of AI Development
Together AI’s funding underscores the growing importance of open-source AI and scalable infrastructure. The company’s expansion strengthens the open-source ecosystem, making AI tools more accessible to developers and enterprises worldwide.
By investing in high-performance computing, model efficiency, and AI research, Together AI is helping shape the next phase of AI development. As enterprises seek cost-effective and customizable AI solutions, open-source platforms like Together AI’s AI Acceleration Cloud will play a central role in the industry’s future.
Please email us your feedback and news tips at hello(at)superbcrew.com
Activate Social Media:
