TensorWave, a Las Vegas-based data center provider specializing in AMD hardware, has successfully raised $100 million in a Series A funding round. This substantial investment, led by Magnetar and AMD Ventures, with participation from Maverick Silicon, Nexus Venture Partners, and Prosperity7, brings the company’s total capital raised to $146.7 million.
The funding arrives at a pivotal moment for the AI infrastructure sector, which is projected to surpass $400 billion by 2027. ([reuters.com](https://www.reuters.com/business/ai-infrastructure-firm-tensorwave-raises-100-million-latest-funding-2025-05-14/?utm_source=openai)) Despite industry challenges such as tariff-induced price hikes and concerns over data center overcapacity, TensorWave reports robust growth. The company anticipates ending the year with a run-rate revenue exceeding $100 million, marking a 20-fold increase from the previous year.
Traditionally, Nvidia has dominated the AI data center hardware market. However, TensorWave has strategically aligned with AMD, aiming to offer cost-effective cloud services. The company recently deployed a dedicated training cluster comprising approximately 8,000 AMD Instinct MI325X GPUs. The new capital will facilitate the expansion of this cluster, as well as support operational growth and team scaling.
TensorWave’s commitment to AMD’s technology is further exemplified by its collaboration with GigaIO. The partnership involves integrating GigaIO’s SuperNODE technology, which utilizes AMD Instinct MI300X accelerators, to create a specialized AI cloud infrastructure named TensorNODE. This infrastructure is designed to support large-scale AI workloads, particularly in training large language models (LLMs). ([businesswire.com](https://www.businesswire.com/news/home/20231207759637/en/GigaIO%E2%80%99s-Award-winning-SuperNODE-Technology-to-Power-the-AI-Infrastructure-of-TensorWave%E2%80%99s-%E2%80%9CTensorNODE%E2%80%9D-Deployment-with-AMD-Instinct-MI300X-Accelerators-at-Scale?utm_source=openai))
The SuperNODE architecture, recognized for its innovative design, enables the creation of a petabyte-scale GPU memory pool. This setup allows workloads to access over a petabyte of VRAM in a single job from any node, significantly enhancing performance and efficiency. The composable nature of GigaIO’s infrastructure provides TensorWave with the flexibility to adapt to evolving AI demands, ensuring optimal resource utilization. ([businesswire.com](https://www.businesswire.com/news/home/20231207759637/en/GigaIO%E2%80%99s-Award-winning-SuperNODE-Technology-to-Power-the-AI-Infrastructure-of-TensorWave%E2%80%99s-%E2%80%9CTensorNODE%E2%80%9D-Deployment-with-AMD-Instinct-MI300X-Accelerators-at-Scale?utm_source=openai))
In addition to hardware advancements, TensorWave is set to launch Manifest, a specialized AI deployment platform, in the fourth quarter of 2024. Manifest is designed to support larger context windows, enabling AI systems to process more data simultaneously. This capability is crucial for enterprises requiring efficient analysis of complex documents and accelerated reasoning. Furthermore, Manifest will offer a secure platform for private data storage, addressing growing concerns about data privacy in the AI landscape. ([parsers.vc](https://parsers.vc/news/241009-tensorwave–a-new-dawn-in-ai-cloud/?utm_source=openai))
TensorWave’s strategic focus on AMD’s technology positions it as a formidable competitor in the AI cloud computing market. By leveraging AMD’s Instinct series GPUs, TensorWave provides a more accessible and powerful compute solution, eliminating long wait times and simplifying the complexities associated with on-premises server management. ([businesswire.com](https://www.businesswire.com/news/home/20241008734926/en/TensorWave-Raises-43M-in-SAFE-Funding-the-Largest-in-Nevada-Startup-History-to-Advance-AI-Compute-Solutions?utm_source=openai))
The company’s commitment to innovation is further demonstrated by its partnership with Edgecore Networks. This collaboration aims to deliver high-efficiency networking solutions tailored for AMD-powered AI data centers, ensuring seamless integration of advanced networking capabilities to support the rapid growth of AI and machine learning workloads. ([businesswire.com](https://www.businesswire.com/news/home/20240531765187/en/Edgecore-Networks-and-TensorWave-Forge-a-Partnership-to-Deliver-High-Efficiency-Networking-Solutions-for-AMD-Powered-AI-Data-Centers?utm_source=openai))
As TensorWave continues to expand its infrastructure and service offerings, it remains dedicated to democratizing access to cutting-edge AI compute resources. The recent funding not only accelerates the deployment of AMD-powered GPU clusters but also supports the company’s mission to empower startups and enterprises shaping the technological future.
