AI infrastructure startup TensorWave raises $100M to meet soaring demand for AI compute

Las Vegas-based startup TensorWave has secured $100 million in fresh funding as it bets big on the growing demand for AI infrastructure.
The new Series A round was led by Magnetar and AMD Ventures. Other investors include existing backers Maverick Silicon and Nexus Venture Partners, along with new participant Prosperity7. The company didn’t share its latest valuation.
TensorWave Raises $100M to Scale AMD-Powered GPU Clusters
TensorWave will use the fresh capital infusion to scale its operations, expand its team, and speed up the rollout of its Instinct MI325X-based training clusters. The timing couldn’t be better—demand for AI compute is outpacing supply, and companies are actively looking for alternatives to the limited infrastructure available today.
Founded in 2023 by Jeff Tatarchuk, Darrick Horton, and Piotr Tomasik, TensorWave is a GPU cloud platform purpose-built for AI workloads. The company offers AMD MI300X accelerators and a high-performance inference engine optimized for demanding AI tasks.
Tatarchuk and Horton previously teamed up to launch cloud vendor VMAccel, while Tatarchuk also co-founded Lets Rolo, a startup later acquired by digital identity company LifeKey. Horton brought additional experience as co-founder of VaultMiner Technologies, the parent company of VMAccel. Tomasik, meanwhile, co-founded the influencer marketing platform Influential and was the second co-founder behind Lets Rolo.
“The $100 million we’ve secured will transform how enterprises access AI computing resources,” TensorWave President Piotr Tomasik said. “Through careful cultivation of strategic partnerships and investor relationships, we’ve positioned TensorWave to solve the critical infrastructure bottleneck facing AI adoption. Our Instinct MI325X cluster deployment isn’t just about adding capacity, it’s about creating an entirely new category of enterprise-ready AI infrastructure that delivers both the memory headroom and performance reliability that next-generation models demand.”
As more companies build and train AI models, the demand for compute resources has exploded. TensorWave is one of the players stepping in to meet that demand by offering AI-focused infrastructure built to support model training and workload optimization.
“The funding comes at a time when the AI infrastructure market is experiencing unprecedented growth, with recent industry reports projecting the AI infrastructure market to exceed $400 billion by 2027,” the company said.
TensorWave plans to use the new funding to grow its team, scale operations, and speed up the rollout of its AMD-powered GPU clusters, which are aimed at helping AI developers train large models more efficiently.
“This $100M funding propels TensorWave’s mission to democratize access to cutting-edge AI compute,” said CEO Darrick Horton.
The AI infrastructure space is heating up fast, and startups like TensorWave are hoping to secure an early lead by delivering what many see as the most critical piece of the AI boom: affordable and scalable compute.
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