Corporate Responsibility
AI is driving breakthroughs across every industry. Accelerating that progress means giving researchers and builders the infrastructure they need, responsibly.
For TensorWave, that means building efficiency into every layer of the stack while investing in the people and communities around us.
Committed to Accelerating Responsibly
Closed-loop System
Our cooling systems recirculate water within a closed circuit so the same supply can be reused. This allows us to conserve water while removing heat from our AI infrastructure.
Direct Liquid Cooling
Liquid-cooled plates are attached to GPUs to carry heat away efficiently. This helps us keep powerful AI systems cool while supporting more compute within the available space.
Latest-generation GPUs
We focus on newer AMD Instinct™ MI-series accelerators to optimize performance and performance per watt. This helps us deliver more compute for the energy used as AI workloads grow.
Responsible Expansion
Alongside new builds, we’re repurposing existing unused buildings and increasing compute density within our data center footprint. This allows us to grow while making the most of the buildings and space already available.
Rack-scale Efficiency
We plan our infrastructure as a complete system to support demanding AI workloads while making efficient use of power and cooling.
Efficient Water Use
We meticulously track water use in our cooling systems and use leak detection to identify issues early. This helps us respond quickly and limit water loss.
Closed-loop System
Our cooling systems recirculate water within a closed circuit so the same supply can be reused. This allows us to conserve water while removing heat from our AI infrastructure.
Direct Liquid Cooling
Liquid-cooled plates are attached to GPUs to carry heat away efficiently. This helps us keep powerful AI systems cool while supporting more compute within the available space.
Latest-generation GPUs
We focus on newer AMD Instinct™ MI-series accelerators to optimize performance and performance per watt. This helps us deliver more compute for the energy used as AI workloads grow.
Responsible Expansion
Alongside new builds, we’re repurposing existing unused buildings and increasing compute density within our data center footprint. This allows us to grow while making the most of the buildings and space already available.
Rack-scale Efficiency
We plan our infrastructure as a complete system to support demanding AI workloads while making efficient use of power and cooling.
Efficient Water Use
We meticulously track water use in our cooling systems and use leak detection to identify issues early. This helps us respond quickly and limit water loss.
Investing in the Communities Where We Build
Responsible growth also means creating opportunities in the communities where we operate.
Creating skilled jobs across Nevada, Arizona, Florida, and Pennsylvania.
Building relationships with local universities and educational organizations.
Giving back to local communities through employee volunteer programs and charitable donations.
Bringing together developers, founders, researchers, and engineers through local events and community programs.