
What is Accelerated Cloud Storage?
We provide a high-performance object storage system is accessible through an S3 compatible Python SDK or file system mount. Improve performance and reduce cost for your data pipelines, GPU training jobs and inference workloads.
Problem
Users rely on traditional cloud storage systems for AI data pipelines and GPU workloads, facing high costs and suboptimal performance due to inefficiencies in handling large-scale AI training and inference tasks.
Solution
A cloud object storage platform where users can access high-performance, S3-compatible storage via Python SDK or file system mount, optimizing AI data pipelines, reducing costs, and improving GPU workload efficiency.
Customers
AI developers, data engineers, and ML engineers at startups or enterprises managing large-scale AI/ML training datasets and inference workloads.
Unique Features
S3-compatible API with AI-specific optimizations, file system mount capability, and cost-efficient performance scaling for GPU-intensive tasks.
User Comments
Simplifies integration with existing AI workflows
Reduces training time and cloud costs
Seamless S3 compatibility
Effective for large datasets
Improves inference throughput
Traction
Launched in 2024, details on users/revenue unspecified. Positioned in the growing AI infrastructure market.
Market Size
The global AI infrastructure market is projected to reach $309.4 billion by 2028 (MarketsandMarkets, 2023), driven by demand for optimized storage solutions.