DeepInfra, a purpose-built cloud platform for high-throughput AI inference, today announced a partnership with humans&, a frontier lab focused on long-horizon interactions, to deploy large-scale AI compute capacity for next-generation AI development. The new 2-megawatt cluster located in Hillsboro, Oregon, features more than a thousand NVIDIA B300 GPUs and marks one of the largest deployments of DeepInfra's DeepCluster offering.
As models move from experimentation to production, access to reliable, high-performance compute has become a critical advantage for building increasingly sophisticated models. DeepInfra's DeepCluster offering provides AI labs and enterprises with dedicated AI infrastructure, enabling customers to rapidly deploy and operate NVIDIA clusters without the complexity of managing underlying infrastructure. Designed for AI labs, DeepCluster supports demanding training, inference, and research workloads with dedicated compute optimized for scale. In addition to its serverless inference capacity, DeepInfra owns and operates its AI Compute infrastructure to deliver cost efficiency, low latency, and security for production AI.
The partnership builds on a shared vision around expanding access to powerful AI infrastructure and accelerating innovation across the AI ecosystem. DeepInfra's ability to rapidly deploy large-scale NVIDIA infrastructure gives frontier labs the foundation to move quickly and focus on advancing research into more human-centric AI systems. The collaboration enables ambitious teams to focus on innovation rather than infrastructure constraints while developing increasingly sophisticated AI systems that require significant compute from day one.
"The teams building the next generation of AI need infrastructure that can move just as quickly as they do," said Nikola Borisov, CEO and co-founder of DeepInfra. "Our DeepCluster offering removes the barriers that have historically slowed access to powerful AI compute, giving ambitious teams the ability to focus on innovation rather than infrastructure constraints. We're excited to partner with humans& as they pursue a bold vision for more human-centric AI, and DeepInfra is proud to provide the foundation that helps turn ambitious research into reality."
"At humans&, we're building AI systems that require significant compute from day one," said Georges Harik, co-founder of humans&. "DeepInfra's ability to rapidly deploy large-scale NVIDIA infrastructure gives us the foundation to move quickly and focus on advancing our research. Having access to reliable, cost-effective compute at this scale is an important advantage as we continue to develop increasingly sophisticated AI systems."
The new cluster provides the large-scale infrastructure required to support frontier AI model development with over two megawatts of power capacity. With Georges Harik also serving as a lead investor in DeepInfra's Series B financing, the partnership strengthens DeepInfra's position as a purpose-built cloud inference platform for high-throughput AI serving the next generation of AI labs.
About DeepInfra
Founded in 2022, DeepInfra is a purpose-built cloud inference platform for high-throughput AI, enabling companies to run open-source and proprietary AI and agentic models at scale. The company owns and operates its AI Compute infrastructure, supports 200+ open-source models, and processes nearly ten trillion tokens per week — delivering the cost efficiency, low latency, and security that production AI demands. Its fully managed platform includes OpenAI-compatible APIs and enterprise-grade security compliance, including zero data retention and SOC 2 and ISO 27001 certification.
About humans&
humans& is building AI foundation models that enable people to better collaborate and communicate with one another. We believe the world’s most important problems won’t be solved by AI acting alone, but by teams whose collaboration is empowered by AI that understands their goals. Our novel RL training simulates long-horizon human and AI interaction to model the long-term consequences of their actions.
