KRAMBU, Inc. has won the 2025 Sustainability Award from the Business Intelligence Group for its regenerative AI infrastructure, which transforms data centers into ecosystems that deliver environmental and community benefits through renewable energy, liquid cooling, heat reuse, and green hydrogen innovation.

Travis Jank, President and Founder of KRAMBU, Inc., is pioneering “regenerative AI infrastructure,” transforming data centers from energy-intensive facilities into ecosystems that give back to the environment and local communities. Through direct liquid cooling, renewable energy integration, green hydrogen, and waste heat reuse for agriculture and district heating, KRAMBU creates net-positive environmental impact while meeting rising AI demands. With major projects underway, including a Montana site a development in Pennsylvania, Jank’s vision redefines high-performance computing—building scalable AI factories that power innovation, restore ecosystems, and contribute to a cleaner, more resilient future.

KRAMBU has partnered with the EPA and DOE through the ENERGY STAR Buildings Program to advance energy efficiency and sustainability in AI data centers. Through this collaboration, KRAMBU will benchmark performance, enhance transparency, and help define future ENERGY STAR standards for liquid-cooled, high-density compute infrastructure.

KRAMBU unveils its most ambitious project yet—a next-gen AI Factory in Montana designed around sustainability, liquid cooling, and industrial symbiosis. From green hydrogen to waste heat reuse, it’s not just a data center—it’s a regenerative ecosystem powering the future of AI.

KRAMBU and Supermicro have signed a strategic MOU to deploy sustainable, high-density AI data centers using Supermicro’s modular DCBBS platform and KRAMBU’s proprietary liquid cooling and green energy systems. Together, they aim to set a new standard for regenerative AI infrastructure.

KRAMBU has joined forces with Auradine and Paradox to build next-generation AI data centers that prioritize sustainability, efficiency, and scalability. With 50MW of advanced systems deployed annually and a focus on immersion cooling, liquid-cooled AI racks, and grid-aware software, the partnership sets a new benchmark for regenerative digital infrastructure. Together, the companies are redefining how AI infrastructure is built—cleaner, smarter, and ready for the future.

Krambu’s President and Founder, Travis Jank, has been named to Marquis Who’s Who for his groundbreaking contributions to high-performance computing, advanced cooling, and sustainable data center infrastructure. With over two decades of innovation—including world records, patented technologies, and industry-first deployments—this recognition highlights Travis’s lasting impact on the future of digital infrastructure.

Krambu Partners with Elkhorn to Redefine Data Center Cooling Krambu has officially selected Elkhorn Products as its strategic cooling partner, deploying the Elkhorn 970 hydrovaporization system across upcoming U.S. data center sites. This innovative, refrigerant-free cooling tech will cut energy use by up to 50%, boost AI server density, and repurpose waste heat for agriculture and energy—marking a major leap forward in Krambu’s industrial symbiosis strategy. 📍 First deployment: Washington

Elkhorn Products’ new Elkhorn 970 v21 hydrovaporization cooler, now live in KRAMBU’s Newport, WA facility, replaces traditional chilled‑water plants, eliminates synthetic refrigerants, and cuts cooling power to roughly 85 kW per megawatt of IT load—about half that of high‑efficiency chillers. The water‑only, compressor‑free system boosts facility PUE from ~1.18 to ~1.09, potentially saving 745 MWh and 300 tCO₂e per year for each megawatt of GPUs. KRAMBU’s pilot demonstrates that natural‑refrigerant technology can outperform legacy chillers at scale, freeing more of the power budget for AI compute.

Krambu Unveils Generative AI Video to Power Next-Gen Storytelling Krambu brings still images to life with new AI video generation—turning simple prompts into vivid, high-quality videos. Backed by high-density GPU infrastructure, the platform delivers scalable, on-demand rendering for creators and enterprises, redefining visual storytelling without the high costs.

KRAMBU has launched a private AI cloud platform that offers on-demand access to powerful GPU computing resources, eliminating the need for large upfront hardware investments. This AI-as-a-Service solution allows businesses to efficiently handle demanding workloads—such as machine learning and data analytics—by scaling GPU capacity in real time. By aligning compute power with evolving project demands, KRAMBU’s new platform supports cost-effective, flexible innovation in today’s data-driven landscape.

Krambu’s eight AMD Radeon RX 9070 XT GPUs set a record in GPUPI, calculating 32 billion digits of pi in 43.884 seconds while placing 5th globally. Discover Krambu’s HPC leadership in data modeling, AI, and scientific simulation.

An Idaho-based company—with a clear love for potatoes—has just generated what might be the first AI-crafted Idaho potato on XFX’s AMD Radeon RX 9070 XT (RDNA 4). While it’s hardly a scientific breakthrough, it’s arguably the crispiest GPU-accelerated spud out there. Expect more quirky high-performance “starch simulations” as they continue to push the boundaries of AI creativity.

Bitspower, KRAMBU, and XFX have teamed up to deliver advanced liquid cooling for AMD’s new RDNA 4-based AI servers. By combining Bitspower’s cooling solutions, KRAMBU’s high-performance computing expertise, and XFX’s cutting-edge GPU technology, these servers support up to 20 GPUs—boasting superior density, performance, and energy efficiency. Utilizing AMD’s 5nm RDNA 4 Navi 48 Radeon RX 9070 XT, which offers 25% higher transistor density than NVIDIA’s Blackwell, the collaboration ensures optimal cooling, reduced throttling, and top-tier AI processing for data centers.

KRAMBU Inc. integrated DeepSeek, Stable Diffusion, and ChatGPT on the AMD Radeon V520 to deliver advanced AI performance without high-VRAM GPUs. By tapping HBM2 memory and adopting smaller language models, the solution cuts costs, extends hardware lifecycles, and reduces energy usage—while maintaining compatibility with popular frameworks like TensorFlow and PyTorch.

Companies combine engineering and design expertise to develop next-generation systems supporting Gen AI and HPC workloads for on-premises and cloud data centers, advancing the push for green IT.