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Together AI welcomes Mahadev Konar as SVP for Infrastructure Engineering

September 10, 2025

By 

Vipul Ved Prakash

Hiring Mahadev Konar further deepens Together AI’s commitment to deliver the most reliable and scalable GPU infrastructure.

As AI native startups build the next wave of AI applications, they are experiencing significant adoption. In fact, by the end of 2025, 378 million people are expected to be using AI applications. This rapid growth means unique challenges for AI native companies building these apps - they struggle delivering reliable experience as their user base rapidly scales. They have to spend enormous time managing the underlying infrastructure, taking a lot of time away from AI engineering teams building new products and experiences. With Together AI’s fully managed GPU cloud, AI native companies and builders can reliably, seamlessly and limitlessly scale with their users – thus saving time and resources doing operational work of managing GPUs, and instead focusing on their core business. Additionally, we are also designing high-performance GPU data centers that are optimized from the ground up for AI workloads, ensuring maximum performance, efficiency, and reliability

Over 800K AI engineers and researchers trust Together AI to build the next generation of AI apps across a variety of domains and industries. AI native companies such as Hedra, Vercept, SCB 10X, ElevenLabs, Cohere, and Zoom who are using Together AI’s infrastructure to power their AI applications and models.

To continue to deliver on this commitment, today we are excited to welcome Mahadev Konar as our SVP of Infrastructure Engineering. Mahadev is one of the original architects of Apache Hadoop and brings a wealth of experience leading infrastructure at scale for multiple public companies, most recently serving as VP of Infrastructure at Instacart. At Instacart, he led engineering teams responsible for scaling backend systems that processed billions of events daily, hundreds of terabytes of data per day, and over 20 million workflows. He optimized infrastructure to ensure reliability and performance for millions of users and helped the company navigate the extreme peak demands during COVID.

At Together AI, Mahadev will lead engineering and research efforts to advance our GPU infrastructure platform—driving reliability, performance, and scale for the AI-native applications. His charter spans everything from cluster management and scheduling to performance optimization, ensuring that Together delivers the most production-ready environment for builders in this pivotal moment for the industry.

“We are at a defining juncture where infrastructure will make or break the success of AI-native companies. I’m excited to join Together AI to build the foundation that empowers every AI team to scale seamlessly, innovate faster, and focus on delivering transformative experiences to their users.” Mahadev Konar, SVP Infrastructure Engineering, Together AI

Join us in welcoming Mahadev to the team!

  • Lower
    Cost
    20%
  • faster
    training
    4x
  • network
    compression
    117x

Q: Should I use the RedPajama-V2 Dataset out of the box?

RedPajama-V2 is conceptualized as a pool of data that serves as a foundation for creating high quality datasets. The dataset is thus not intended to be used out of the box and, depending on the application, data should be filtered out using the quality signals that accompany the data. With this dataset, we take the view that the optimal filtering of data is dependent on the intended use. Our goal is to provide all the signals and tooling that enables this.

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We have multiple open positions across engineering, research and GTM.

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