Scailium has officially launched after 10 months in stealth mode, introducing a new infrastructure category—called the AI Production Layer—designed to address “impedance incompatibility” between storage systems and artificial intelligence (AI) compute in data center environments. The company reports that its new GPU-native software infrastructure is engineered to link enterprise storage tiers directly with GPU-based compute, aiming to substantially increase enterprise GPU utilization rates from an industry average of 40 percent to more than 80 percent while also reducing energy waste.
Scailium claims the persistent problem of “Silicon Starvation” arises from CPU-oriented data pipelines that cannot feed modern GPUs rapidly enough, resulting in underutilized GPUs that continue to consume 30 to 50 percent of their peak power even while idle. This leads to increased energy consumption and excess cooling requirements in data centers.
The core of the Scailium solution is its ability to bypass CPUs entirely, performing data ingestion, transformation, vectorization, curation, and injection workflows directly on the GPU at what it describes as “silicon speed.” The platform eliminates CPU overhead, or what Scailium refers to as the “serialization tax,” sustaining continuous high-speed production flows and allowing AI infrastructure to function at industrial scale.
The company defines the AI Production Layer as a dedicated architectural platform that integrates between enterprise storage and AI compute, delivering full-fidelity data at high velocity to the GPU. Key features cited by Scailium include 80 percent or greater GPU utilization without hardware upgrades, reduction in power consumption through fewer idle cycles, the ability to run the full dataflow pipeline on the GPU, non-invasive deployment without requiring data stack rewrites, and the processing of entire datasets for increased model stability and accuracy.
Scailium also notes it is partnering with original equipment manufacturers (OEMs), cloud providers, global system integrators, and value-added resellers to embed its AI Production Layer into future data center and AI factory architectures.
Liam Galin, CEO of Scailium, stated, “Forty percent GPU utilization is the industry’s dirty secret,” adding, “Everyone whispers about it, but no one fixes it. Enterprises are paying for world-class GPUs and burning megawatts because their data pipelines can’t keep up. This isn’t a tooling problem; it’s a physics mismatch. We built Scailium to rewrite the physics of AI throughput. AI cannot scale without a Production Layer, and now it has one. With Scailium, compute never starves.”
Source: Scailium
