TensorWave has raised $350 million in Series B funding at a $1.55 billion valuation to expand its AMD-powered artificial intelligence infrastructure globally. The Las Vegas-based company, which describes itself as an all-AMD AI cloud, provides high-performance compute infrastructure for memory-intensive workloads such as large language model training, inference, and generative AI applications. The financing reflects rising enterprise demand for scalable AI compute capacity as organizations move from experimentation to production deployment.
Funding Round Backed by Strategic Investors
The Series B round was co-led by Magnetar and AMD Ventures, with continued participation from Maverick Silicon, Nexus Venture Partners, and Western Frontier. TensorWave said the new capital will support the expansion of its AI infrastructure footprint and accelerate deployment of next-generation AMD Instinct MI355X GPU clusters. The investment also strengthens the company’s position as a provider of open-ecosystem infrastructure at a time when AI compute supply remains constrained across the industry.
Expanding AMD-Based AI Compute
TensorWave focuses exclusively on AMD Instinct Series GPUs, offering high-bandwidth and memory-optimized infrastructure for demanding AI workloads. The company’s platform is designed to support large-scale model training, high-throughput inference, and production generative AI systems that require significant memory capacity and compute performance. By building around AMD hardware, TensorWave aims to offer enterprises an alternative to vertically integrated GPU supply chains and single-ecosystem infrastructure strategies.
Supporting AI-Native and Enterprise Customers
The company is already serving AI-focused customers, including Fireworks AI and Luma AI, which are using TensorWave’s AMD-based infrastructure for generative AI workloads and production inference systems. TensorWave said adoption is being driven by customers that need reliable and scalable infrastructure capable of supporting increasingly complex models and commercial AI applications. As enterprises seek to deploy AI systems at scale, access to flexible compute capacity has become a strategic requirement rather than a technical detail.
Leadership Highlights Production AI Demand
Darrick Horton, TensorWave’s chief executive officer and co-founder, said the next stage of artificial intelligence will depend on whether organizations can secure enough compute to move from testing into production. He noted that larger models and more demanding workloads require infrastructure with memory capacity, performance, and flexibility without locking customers into a single ecosystem. The company said the Series B funding will allow it to make AMD Instinct MI355X deployments available to more customers while continuing to build an open foundation for production AI.
Infrastructure Growth Since Series A
TensorWave has scaled rapidly since its Series A financing in May 2025, expanding both its hardware base and long-term data center strategy. The company now operates one of the largest AMD-based AI training clusters in North America, with 8,192 AMD Instinct MI325X GPUs online. TensorWave is also preparing larger MI355X deployments across new North American data center regions and has secured more than 2 gigawatts of long-term data center capacity.
Building From Las Vegas
Alongside its infrastructure expansion, TensorWave plans to continue investing in its Las Vegas headquarters. The company expects to grow its team across engineering, infrastructure, operations, sales, and customer success roles as it expands its customer base. Piotr Tomasik, TensorWave’s president and co-founder, said the funding will help the company meet demand from ambitious AI builders while supporting the development of a larger technology team in the Las Vegas startup ecosystem.
Investor Confidence in AMD-Powered Infrastructure
Magnetar co-founder and president Ross Laser said the AI infrastructure race has created urgent demand for providers that can deliver capacity quickly without compromising reliability. AMD Ventures also emphasized TensorWave’s alignment with the AMD ecosystem and its focus on flexible, high-performance compute for enterprise AI deployments. The involvement of both financial and strategic investors underscores growing interest in infrastructure providers that can support alternatives to dominant AI compute platforms.
The $350 million Series B round gives TensorWave substantial capital to scale its global AI cloud and deepen its commitment to AMD-powered infrastructure. With enterprise and AI-native customers seeking more compute capacity for production workloads, the company is positioning itself as a key provider of memory-optimized GPU infrastructure. As demand for AI training and inference continues to rise, TensorWave’s next phase will test how quickly it can expand capacity while maintaining performance, reliability, and customer support.