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The Future of Generative AI: Together AI's Commitment to Scalability and Reliability



Together AI has welcomed Mahadev Konar as its new Senior Vice President of Infrastructure Engineering. The recruitment underscores the company's commitment to delivering a production-ready environment for builders in the industry. With Mahadev at the helm, Together AI aims to empower every AI team to scale seamlessly, innovate faster, and focus on delivering transformative experiences to their users.

  • Together AI has appointed Mahadev Konar as its new Senior Vice President of Infrastructure Engineering.
  • The company aims to empower every AI team to scale seamlessly, innovate faster, and focus on delivering transformative experiences to their users.
  • Together AI's GPU cloud offering is used by over 800,000 AI engineers and researchers worldwide.
  • The company is developing high-performance GPU data centers optimized for AI workloads.
  • Together AI has been working on several cutting-edge projects, including the DeepSeek platform and the Llama platform.
  • The company's research efforts focus on advancing generative AI, including natural language processing (NLP) tasks.


  • Together AI, a leading provider of GPU infrastructure for artificial intelligence (AI) applications, has recently made several significant announcements that highlight its commitment to advancing the field of generative AI. The company, which has been at the forefront of developing cutting-edge AI solutions, has welcomed Mahadev Konar as its new Senior Vice President of Infrastructure Engineering.

    Mahadev, a highly experienced engineer and leader in the industry, brings a wealth of expertise in scaling infrastructure for multiple public companies, including Instacart, where he led engineering teams responsible for processing billions of events daily, hundreds of terabytes of data per day, and over 20 million workflows. His appointment at Together AI is seen as a major coup for the company, which aims to empower every AI team to scale seamlessly, innovate faster, and focus on delivering transformative experiences to their users.

    The recruitment of Mahadev Konar underscores Together AI's commitment to delivering a production-ready environment for builders in the industry. The company has been working tirelessly to develop its GPU infrastructure platform, which is designed to provide reliability, performance, and scale for AI-native applications.

    Together AI's GPU cloud offering is widely used by over 800,000 AI engineers and researchers who rely on the company's platforms to build the next generation of AI apps across various domains and industries. The company's solutions are designed to help businesses scale their operations seamlessly, without compromising performance or reliability.

    One of the key areas where Together AI is focusing its efforts is in the development of high-performance GPU data centers that are optimized from the ground up for AI workloads. These data centers are designed to ensure maximum performance, efficiency, and reliability, making them an attractive option for businesses looking to deploy their AI applications at scale.

    The company's commitment to advancing generative AI can be seen in its ongoing research and development efforts. Together AI has been working on several cutting-edge projects, including the DeepSeek platform, which is designed to provide fast and efficient inference for deep learning models.

    DeepSeek is an open-source platform that allows developers to deploy their own custom-trained models on the company's GPU infrastructure. The platform provides a range of features, including support for multiple frameworks, optimized performance for large-scale deployments, and seamless integration with other AI tools and platforms.

    Together AI has also made significant strides in the development of its Llama platform, which is designed to provide fast and accurate inference for natural language processing (NLP) tasks. The company's researchers have been working on several cutting-edge projects, including the development of a new generation of language models that can perform complex NLP tasks with ease.

    In addition to its research efforts, Together AI has also made significant investments in the development of its code execution platform, which is designed to provide fast and efficient execution of LLM-generated code. The company's platform provides a range of features, including support for multiple programming languages, optimized performance for large-scale deployments, and seamless integration with other AI tools and platforms.

    Furthermore, Together AI has also made significant strides in the development of its shape (formerly known as) Model Platform. This platform is designed to provide fast and efficient inference for deep learning models. The company's researchers have been working on several cutting-edge projects, including the development of a new generation of model compression algorithms that can reduce the size of large-scale models while preserving performance.

    Overall, Together AI's commitment to advancing generative AI is clear. With its focus on scalability, reliability, and research, the company is well-positioned to support businesses as they build their next-generation AI applications.



    Related Information:
  • https://www.digitaleventhorizon.com/articles/The-Future-of-Generative-AI-Together-AIs-Commitment-to-Scalability-and-Reliability-deh.shtml

  • https://www.together.ai/blog/mahadev-konar-svp-infrastructure-engineering

  • https://www.together.ai/about

  • https://www.linkedin.com/in/mahadevkonar


  • Published: Wed Sep 10 14:02:54 2025 by llama3.2 3B Q4_K_M











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