TensorWave announced that it has raised $350 million in Series B funding at a $1.55 billion valuation. The round was co-led by Magnetar and AMD Ventures, with continued participation from Maverick Silicon, Nexus Venture Partners, and Western Frontier.
The company said the new capital will be used to expand its global AI infrastructure footprint, including the deployment of next-generation AMD Instinct MI355X GPU clusters designed for memory-intensive workloads such as large language model training, generative AI applications, and high-throughput inference. TensorWave aims to provide customers with an alternative to vertically integrated GPU supply chains by focusing exclusively on AMD-powered infrastructure.
According to the company, customers including Fireworks AI and Luma AI are already using TensorWave’s infrastructure to support large-scale generative AI workloads and production inference systems. TensorWave said the increasing demand for AI compute is driving enterprises to seek scalable infrastructure with greater memory capacity and flexibility.
Since raising its Series A financing in May 2025, TensorWave has expanded significantly and now operates one of North America’s largest AMD-based AI training clusters, with 8,192 AMD Instinct MI325X GPUs online. The company is also preparing larger deployments of MI355X clusters across new data center regions in North America.
TensorWave said it has secured more than two gigawatts of long-term data center capacity to support growing demand from enterprise, research, and AI-native customers. As part of its expansion plans, the company intends to continue investing in its Las Vegas headquarters and increase hiring across engineering, infrastructure, operations, sales, and customer success functions.
Founded as an AI cloud provider focused exclusively on AMD Instinct GPUs, TensorWave delivers memory-optimized infrastructure designed for demanding AI training and inference workloads.
KEY QUOTES:
“The next phase of AI will be defined by who can access enough compute to move from experimentation to production. As models grow larger and workloads become more demanding, enterprises need infrastructure with the memory capacity, performance, and flexibility to scale without being locked into a single ecosystem. This investment allows TensorWave to bring AMD Instinct MI355X GPU deployments to more customers and continue building the open, AMD-powered foundation for production AI.”
Darrick Horton, CEO And Co-Founder, TensorWave
“As demand for AI infrastructure continues to grow, TensorWave is well positioned to help enterprises scale AI deployments with high-performance, AMD-powered compute. Their commitment to open, flexible infrastructure aligns strongly with the AMD ecosystem and we are pleased to support their next phase of growth.”
Sagi Paz, Head Of AMD Ventures
“The most ambitious AI builders need infrastructure that can keep pace with them right now, at a scale very few providers can deliver. The continued trust of exceptional investors validates our approach: reliable, scalable compute purpose-built for the most demanding production workloads, backed by 24/7 support, and a footprint designed to serve customers globally. This funding accelerates our ability to meet that demand while building a world-class team within the Las Vegas startup community.”
Piotr Tomasik, President And Co-Founder, TensorWave
“The race to build AI infrastructure has created urgent demand for providers who can deliver at speed without sacrificing reliability. TensorWave’s partnership with AMD and its disciplined execution make it exactly that, and we believe it is positioned to become one of the most important compute providers for AMD-based AI workloads.”
Ross Laser, Co-Founder And President, Magnetar
