TensorWave has announced a new round of investments towards the procurement of AMD's AI solutions to address its growing compute requirements.
TensorWave Goes After AMD's Instinct MI355X GPUs With A $350M Investment Towards Its Series B For Rapid AI Compute Expansion
AMD Instinct MI355X GPUs are seeing interest from AI firms such as TensorWave, who are raising funds to deploy additional AI capacity using these accelerators. In its announcement, TensorWave says that its new compute deployments are specifically targeting memory-intensive workloads such as LLM training, high-throughput inference, and generative AI applications.
With its latest deployments, TensorWave will provide a robust alternative to capacity-constrained and vertically integrated GPU supply chains. The company states that it is already seeing adoption at various AI firms such as Fireworks AI and Luma AI, which are leveraging the compute capabilities of its AMD-based AI infrastructure to power large-scale generative AI workloads and production inference systems.
“The next phase of AI will be defined by who can access enough compute to move from experimentation to production,” said Darrick Horton, CEO and co-founder of TensorWave. “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.”
TensorWave
Ever since the inception of Series A in May 2025, and now with Series B, TensorWave operates one of the largest fleets of AMD-based AI training clusters in the United States, with 8,192 Instinct MI325X AI GPUs already online, and massive deployments of AMD's Instinct MI355X GPUs ongoing across several new data centers in North America. The company has secured over 2 Gigawatts of long-term AI data-center capacity to support the growing adoption within Enterprise, Research, and AI-Native segments.
TensorWave has been building towards this compute capacity since 2024, when it announced to build the world's largest AMD-powered clusters by 2025.
“The race to build AI infrastructure has created urgent demand for providers who can deliver at speed without sacrificing reliability," said Ross Laser, Co-Founder and President of Magnetar. "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.”
TensorWave
Soon, AMD is going to start shipping its next-generation Instinct MI455X GPU accelerators, offering even more capabilities and compute performance while reducing the TCO. This chip is set to battle out with the NVIDIA Vera Rubin series to power next-gen data centers globally.
About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.
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