Eva is unlocking the path to AGI by conquering the time and capital costs of innovation. Instead of brute-force stacking GPUs to increase compute capacity—akin to harnessing 1,000 horses for 1,000 horsepower— we are building engines of intelligence with 72× performance.
Built on novel transistor technology, FCUs gain a quadratic advantage in throughput and a linear advantage in energy efficiency as workloads expand, making them the optimal platform to scale intelligence. Moreover, their local compute dynamics ensure neither weights nor gradients move throughout training, eliminating the "memory wall"—the bottleneck that leaves GPU tensor cores idle while waiting for data transfer.
The core building block of the FCU is the Proton Gated Transistor (PGT), a proprietary semiconductor breakthrough with device physics optimized for the mathematics of AI. A single device functionally replaces hundreds of conventional transistors, providing sub-1 nm equivalent compute density—a leap that would otherwise require breaking atomic limits through geometry scaling. FCUs built with massively parallelized PGTs deliver unprecedented speed and power.
PGTs fuse the functions of memory and processor, slashing high volumes of data movement that throttle GPUs. Each device not only stores the weight element but also computes its linear algebra operations locally, using its intrinsic device physics. By executing both inner products (forward pass) and outer products (gradient compute & weight update) entirely on-device, FCUs require dramatically reduced bandwidth and maximize hardware utilization.
PGTs driving breakthrough performance enable FCUs to retain GPU-like high-level system architecture for a seamless transition. From a software perspective, porting existing deep learning frameworks to Eva’s clusters is equivalent to migrating between CUDA versions. As for the infrastructure, racks built with FCUs eliminate the need for exotic liquid cooling, enabling utilization of existing air-cooled datacenters for immediate and scalable deployment.
