PEAK:AIO provides a software‑defined AI storage platform that turns commodity hardware into a high‑throughput, low‑latency data infrastructure optimized for AI and HPC workloads. By abstracting SSD and GPU resources behind standards‑compliant APIs, it enables scalable, power‑efficient storage that integrates with existing pipelines and accelerates model training and inference.
Funding
$6.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PVFounders
Product
Problem
AI and high-performance computing workloads generate massive data volumes that require storage systems with extremely high throughput, low latency, and efficient power usage. Traditional storage solutions struggle to keep pace with increasing SSD density and GPU bandwidth demands, leading to bottlenecks and higher operational costs.
Solution
PEAK:AIO delivers a software‑driven AI storage platform that transforms commodity hardware into a high‑performance, standards‑based data infrastructure. The solution abstracts the underlying storage media, enabling seamless scaling across heterogeneous SSD and GPU configurations while maintaining consistent low‑latency access. Built on power‑efficient architectures, the platform optimizes data paths to match the bandwidth needs of modern AI models. It provides a unified API and compliance with industry storage standards, allowing customers to integrate the system into existing pipelines without extensive re‑engineering. By focusing on software flexibility and hardware agnosticism, PEAK:AIO helps organizations accelerate AI training and inference while controlling energy and cost overhead.
Target Audience
Primary customers are hyperscale AI service providers, high‑performance computing centers, and enterprise AI teams that require dense, low‑latency storage to support large‑scale model training and inference.
Features
- Software‑defined storage layer that abstracts and pools SSDs for AI‑optimized I/O performance
- Power‑efficient data path design that reduces energy consumption per terabyte transferred
- Native support for high‑density SSD configurations and GPU‑direct storage access
- Standards‑compliant APIs (e.g., NVMe, POSIX) for easy integration with existing AI frameworks
- Scalable architecture that can expand from single‑node deployments to hyperscale clusters
- Real‑time performance monitoring and automated tuning based on workload characteristics
- Award‑winning storage innovation recognized for both performance and optimization