Everpure has announced major additions to its AI portfolio, introducing Evergreen//One (EG1) for FlashBlade//EXA and previewing the Everpure Data Stream Beta, both designed to help enterprises overcome the performance, data pipeline, and cost challenges that stall AI deployments.
With AI initiatives increasingly hindered by siloed data and infrastructure complexity, Everpure’s new offerings aim to provide a simplified, scalable path from initial experimentation to full production workloads.
Kaycee Lai, Vice President of AI at Everpure, said the shift is overdue. “Most AI projects fail to reach production for enterprises because many treat AI as ‘just another workload.’ We are helping customers break down siloed data and move AI initiatives from pilot to production with infrastructure that delivers guaranteed performance, flexibility, and growth.”
“Most enterprises treat AI as just another workload we’re removing that barrier so they can finally move from pilot to production.”
— Kaycee Lai, Vice President, AI, Everpure
High-Performance Foundation for AI Factories
By extending Evergreen//One to FlashBlade//EXA, Everpure now provides AI teams with the throughput and linear scalability required for next‑generation training and inference. FlashBlade//EXA is engineered to align with NVIDIA STX reference architectures supporting the Vera Rubin platform, enabling high‑performance context memory access for giga‑scale inference and agentic AI workflows.
Recent industry benchmarks underscore this capability:
- Record SPECstorage performance: FlashBlade//EXA achieved the highest score recorded for the AI_Image benchmark, sustaining 6,300 simultaneous AI jobs, more than any competing solution.
- Maximized GPU efficiency: According to MLPerf‑driven workload measurements, EXA maintains over 90% GPU utilization, moves data at twice the speed of its nearest competitor, and fits into less than half a rack improving economics for large Hopper GPU clusters.
Everpure also expanded NVIDIA-Certified Storage (NVCS) validation for FlashBlade//EXA, building toward the NCP certification aligned with NVIDIA Cloud Partner architectures.
Automated, AI‑Ready Data Pipelines
Launching later in 2026, Everpure Data Stream Beta eliminates manual data movement with automated pipelines that deliver AI‑ready data directly from ingestion to inference. Co‑engineered with Supermicro and built on the NVIDIA AI Data Platform reference design, the solution integrates Supermicro hardware with Everpure’s software-defined storage to ensure consistent, high-quality data flow.
The system also supports accelerated platforms including the NVIDIA RTX PRO 6000 and 4500 Blackwell Server Edition GPUs, empowering enterprises to deploy compact, efficient AI factory designs.
Everpure emphasized that AI readiness is not a one‑time milestone but a continuous cycle of data optimization, performance tuning, and scalable growth capabilities the company aims to deliver as a unified platform.
