Photo: TensorWave was founded in 2023 in the United States by Jeff Tatarchuk (left), Darrick Horton (middle), and Piotr Tomasik (right).
U.S.-based AI infrastructure startup TensorWave has announced a $100 million Series A funding round aimed at scaling its high-performance computing offerings for the AI industry. The round was co-led by Magnetar and AMD Ventures, with participation from Prosperity7, Maverick Silicon, and Nexus Venture Partners.
The capital injection would underscore both investor confidence in TensorWave’s momentum and the growing demand for AI infrastructure alternatives beyond the dominant players.
Founded with a mission to democratize access to advanced AI compute, TensorWave is quickly positioning itself as a key player in the AMD-powered ecosystem. The company recently deployed a cluster of 8,192 AMD Instinct MI325X GPUs to support large-scale AI model training. With this infrastructure build-out, TensorWave anticipates a year-end revenue run rate exceeding $100 million – representing a 20-fold increase year over year.
TensorWave CEO Darrick Horton emphasized that the company’s mission goes beyond scaling hardware. “This $100 million funding advances TensorWave’s mission to democratize access to cutting-edge AI compute. Our 8,192 Instinct MI325X GPU cluster is just the beginning as we position ourselves as the new AMD-powered leader in the rapidly expanding AI infrastructure space.”
Access AI Compute Resources
The new funding will be used to accelerate TensorWave’s team growth, expand operations, and speed up deployment of its Instinct MI325X-powered clusters. The company plans to address mounting market pressure as AI development outpaces the availability of suitable compute infrastructure. For many enterprises and AI startups, GPU supply shortages and vendor lock-in have made it difficult to access the compute power needed for large model training and deployment. TensorWave aims to fill that gap.
“Our funding will revolutionize how businesses access AI compute resources,” said Piotr Tomasik, President of TensorWave. “By deploying enterprise-ready clusters with the performance, memory, and reliability demanded by next-gen AI models, we’re tackling one of the biggest bottlenecks in AI adoption.”
The company’s go-to-market strategy leans heavily on building a supportive ecosystem around AMD technologies. This includes tools, APIs, and services optimized for developers working at scale. Chief Growth Officer Jeff Tatarchuk noted, “Our goal is to continue expanding the AI ecosystem, equipping developers with the infrastructure and capabilities needed to move from experimentation to production with confidence.”
The investment is also strategically significant for AMD, which has been steadily increasing its stake in the AI compute market. Through AMD Ventures, the chipmaker is expanding access to its high-performance GPUs in the cloud by backing key infrastructure partners like TensorWave.
“TensorWave is a key player in the growing AMD AI ecosystem,” said Mathew Hein, SVP and Chief Strategy Officer at AMD. “Demand for their AI compute services is accelerating, and their proficiency with AMD hardware helps bring our technologies to scale in cloud environments and AI-first organizations.”
Growth in AI Infrastructure Market
Backing from Silicon Valley investors would further validate the company’s strategy. Kenneth Safar, Managing Director at Maverick Silicon, commented, “TensorWave is delivering more than just capacity – they’re creating an entirely new category of computation optimized for modern AI workloads. What they’ve built in such a short time is remarkable.”
The timing of the raise coincides with unprecedented growth in the AI infrastructure market. Recent industry estimates project the sector will surpass $400 billion by 2027, fueled by demand from generative AI, foundation model development, and enterprise transformation. TensorWave, with its strong focus on performance and open-architecture compute, might position itself to capture a substantial share of this market.
In addition to its partnerships with AMD and a growing list of investors, TensorWave is actively working with AI firms like TECFusions to expand its reach into enterprise applications. As the AI race accelerates, the company’s focus on scalable, developer-friendly infrastructure – especially using AMD’s newest silicon – is making it a standout among a growing number of infrastructure challengers in a GPU-constrained market.
