The Awide Data Processor (ADP) offloads data-intensive work from CPUs and GPUs, so the same workload runs on fewer, cooler servers. Less electricity consumed, less hardware manufactured, fewer CO2 emissions per unit of work.
Energy efficiency is not a side effect of our technology. It is the point: acceleration and sustainability are the same engineering problem, solved once.
Based on our reference LLM inference deployment: two GPU servers drawing 20-24 kW consolidated into one with ADP at 10-12 kW for the same workload. See the measurements
Data centers already account for roughly 1.5% of global electricity use, and the IEA projects that figure to more than double by 2030 as AI adoption accelerates. Every watt saved inside the data center is saved around the clock, every day of the year — and it saves a second time in the cooling system that no longer has to remove it.
The industry cannot decarbonize by adding clean supply alone. Demand has to grow slower than workloads do — and that is exactly what hardware acceleration delivers.
application performance per server — the same throughput from a fraction of the fleet
effective SSD capacity — fewer drives manufactured, shipped, powered, and replaced
every efficiency gain compounds continuously for the whole life of the infrastructure
The ADP moves data-intensive work off general-purpose processors onto dedicated silicon that does the same job with far less power. The effect shows up in four places at once.
ADP accelerates storage and data processing up to 10X, so workloads that needed racks of machines run on a fraction of the hardware. That cuts electricity draw and the embodied carbon of every server not built.
KV-cache offloading keeps power-hungry GPUs generating tokens instead of recomputing context they have already seen. Higher utilization means fewer GPUs — and fewer megawatts — for the same AI inference throughput.
AKV Data Shaping reduces write amplification and delivers up to 6X effective capacity. SSDs last longer and fewer drives are manufactured, shipped, and disposed of over the life of a deployment.
Every watt not consumed by a CPU is a watt the cooling plant never has to remove. Efficiency at the silicon level compounds through power delivery and cooling — the savings are larger than the chip alone.
The Net-Zero Industry Act is the European Union's framework for scaling up the technologies Europe needs to decarbonize. It targets EU net-zero manufacturing capacity covering at least 40% of the Union's annual deployment needs by 2030, and energy-efficiency technologies are among the net-zero technologies it covers.
Efficient data infrastructure is part of that path. As AI and data workloads grow, hardware acceleration keeps their energy footprint in check instead of letting it scale with demand — reducing the electricity, and the emissions behind it, that each unit of computing requires.
Read the EU Net-Zero Industry Act