AI development is pushing the limits of hardware and data pipelines. To help solve the ongoing problem of GPU idle time, SCAILIUM has teamed up with TD SYNNEX. This partnership aims to make AI workloads run smoother and more efficiently across the globe.

Addressing the GPU Bottleneck

Many companies investing heavily in GPU infrastructure face a common challenge: GPUs sit idle for 40-70% of the time. This happens because traditional data pipelines, often CPU-bound, can’t deliver data fast enough. As a result, GPU resources are wasted, and AI systems can’t scale beyond basic prototypes.

SCAILIUM offers a solution with its AI Production Layer, a software-only tool that runs directly on GPUs. It replaces slow CPU-based pipelines, continuously feeding data to the GPU and keeping it fully utilized. This helps companies get more value from their existing hardware without needing extra equipment.

How the Partnership Benefits Enterprises

By partnering with TD SYNNEX, SCAILIUM can bring its technology to a wider network of solution providers around the world. This means more enterprises can access tools that improve GPU usage, reduce power waste, and speed up AI production. It’s about turning experimental AI projects into scalable, real-world solutions.

As Liam Galin, CEO of SCAILIUM, explains, the key to scaling AI now isn’t just more compute power, but better data pipelines. The AI Production Layer helps organizations maximize their GPU investments by increasing efficiency and reducing idle time. This accelerates the time it takes to go from data to insights, making AI more practical at an industrial level.

Overcoming Power and Performance Limits

The industry has realized that power consumption, not just raw computing, is a bottleneck for AI. Many organizations find that their energy costs and power constraints limit growth more than hardware capabilities. SCAILIUM’s solution addresses this by improving energy efficiency through better GPU utilization.

Francisco Criado from TD SYNNEX highlights that practical, scalable tools like SCAILIUM’s AI Production Layer are essential. They deliver measurable improvements in how well GPUs are used, cut down on energy waste, and help AI systems operate reliably at a larger scale. This collaboration aims to transform the way AI workloads are managed worldwide.

Overall, this partnership is about making AI deployment faster, more efficient, and more sustainable. With solutions like SCAILIUM’s AI Production Layer, companies can scale their AI efforts without constantly adding new hardware or increasing power consumption. It’s a step toward smarter, greener AI infrastructure.

Inspired by

• https://ai-techpark.com/scailium-partners-with-td-synnex-to-solve-global-gpu-starvation/