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Beirit Harvey

As we build more capacity for teams training and deploying AI models, we ask where we can reuse existing buildings, how we can use resources more efficiently, and what it takes to build lasting relationships with the communities where we operate.

Accelerate Responsibly: Building TensorWave With the Future in Mind

As we build more capacity for teams training and deploying AI models, we ask where we can reuse existing buildings, how we can use resources more efficiently, and what it takes to build lasting relationships with the communities where we operate. That’s what Accelerate Responsibly™ means at TensorWave.

A data center’s cooling system helps determine how much water and electricity the facility will use for years. Where it’s built and how it’s staffed can shape who has access to jobs that last long after construction ends. These are decisions TensorWave makes as an AI infrastructure provider, and their effects reach beyond the teams that use our compute.

As a newer company, TensorWave has the chance to make those decisions thoughtfully from the start. Responsible growth has shaped how we've approached building this business from day one, and each stage of growth gives us another opportunity to put that thinking into practice. Our commitment to accelerating responsibly starts from the ground up, from the data centers to the people building TensorWave.


Growing Alongside Our Communities

The people who work at our data centers and headquarters are building careers and supporting families in the communities they call home. They help guide our decisions and reflect our principles and commitments. Our decisions as an employer affect their lives, and we take that responsibility seriously.

Las Vegas is where TensorWave started, and we want more people here to see a future in technology. As we grow, that means creating opportunities in engineering and infrastructure operations, as well as the teams that keep the business running.

It also means building relationships beyond our own team. Across Southern Nevada, Tucson, Miami, and New Kensington, our community efforts include creating stable skilled jobs, connecting with educational organizations, and giving back through employee volunteering and charitable donations.

We want our presence in a community to create opportunities for people to grow alongside us. That takes relationships and continued involvement as our work in each place develops.


Building for Positive Impact

It’s imperative that AI infrastructure is available to all. Behind the demand for compute are the people working to solve difficult problems like researchers exploring potential treatments and scientists searching for better materials.

Those efforts need infrastructure capable of supporting demanding work and our role is to help provide it with care for the resources that infrastructure consumes and the places where it operates. 


Making Resources Our Priority

AI infrastructure takes physical resources to build and operate. Power, cooling, and space all shape what a data center can support. Decisions about those resources deserve attention early, while we’re designing systems and choosing how to expand.

That’s why our approach brings cooling, compute, and infrastructure design into the same conversation. Direct liquid cooling supports high-density AI systems by removing heat efficiently. Our focus on newer AMD Instinct™ MI-series GPUs reflects the importance of improving performance and performance per watt as workloads grow.

We also look at how we use the space around those systems. Alongside new builds, we’re repurposing unused buildings and increasing compute density within our data center footprint. At the rack level, we bring compute, networking, and cooling together to support demanding workloads.

Then comes the ongoing work of operating that infrastructure well. Getting more useful compute from GPUs and supporting systems is part of making better use of the resources we’ve put in place.

There is always more to improve. As we grow, we’re looking at efficiency across our operations, from how we design our data centers to how we use the compute inside them.


Better Use of Compute

Every AI workload relies on hardware that needs power and cooling to run. Getting more useful work from those resources is part of our responsibility as an infrastructure provider.

Our AMD Instinct MI355X infrastructure uses direct liquid cooling to support sustained performance, improve efficiency, and maintain thermal stability. We also use fully closed-loop or hybrid cooling systems in our designs to significantly reduce our water footprint. How we manage water is part of the same responsibility: building infrastructure that delivers strong performance while using resources carefully.

AMD Helios extends that approach to the whole rack, routing liquid coolant to both the compute hardware and the network switches. Its 72 AMD Instinct™ MI455X GPUs can also be split among workloads, so smaller jobs can use the compute they need while leaving the rest available for other work. 

We also use fully closed-loop or hybrid cooling systems in our data center designs to help reduce water use. For TensorWave, conversations about efficiency should include both performance and resource use. Customers should understand what their infrastructure delivers, and communities should be able to understand how the facilities supporting it use power and water.


Supporting the Next Generation

For someone considering a career in technology, meeting a person who works in the field can make that path feel more accessible. A conversation can help a student understand what a job involves, discover a role they hadn’t considered, or see how their interests might fit into the industry.

Our outreach to students and relationships with universities and educational organizations are built around that kind of exposure. We want to help connect students with people working in AI and cloud infrastructure, while strengthening the connections between industry and the academic community.

That same belief in connection shapes our local AI meetups. Bringing developers and researchers together with founders and infrastructure teams gives people a place to share what they’re working on and learn from one another.


An Approach We Can Keep Building On

Our corporate responsibility page brings these priorities together and gives us a place to share where we’re focused, where we can continue to improve, and the changes we’re making to ensure resource efficiency is being optimized. The work behind it continues through everyday decisions about our infrastructure and our role in the communities around us.

We’re still early in our story. The choices we make now will help shape what TensorWave becomes, and we want to carry this approach with us as we grow.

Learn more about how we’re building responsibly and investing in the communities we call home.

Accelerate Responsibly: Building TensorWave With the Future in Mind

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