Build Scalable Enterprise AI Factories with Everpure and AMD

AI is no longer a future investment—it’s the operating system of the modern enterprise. From training large language models to running real-time inference across thousands of GPUs, the infrastructure decisions you make today will define your competitive position for years to come. The question isn’t whether to build AI infrastructure. It’s how to build it so it scales, performs, and doesn’t break under the weight of your ambitions.

That’s exactly what the Everpure Enterprise AI Factory with AMD was designed to solve.

What is the Everpure Enterprise AI Factory with AMD?

The Everpure Enterprise AI Factory with AMD is a jointly engineered, fully integrated AI infrastructure platform built on AMD Instinct MI350 Series GPUs and Everpure™ FlashBlade^®. It’s purpose-built for enterprises that need to run large-scale AI workloads—training, fine-tuning, inference, and data pipelines—without stitching together point solutions or managing constant tuning cycles.

At its core, the platform combines:

• AMD Instinct MI350 Series GPUs—next-generation AI accelerators built on the CDNA 4 architecture with massive HBM3E memory capacity, native FP4/FP6 support, and the open source ROCm 7 software stack for immediate compatibility with PyTorch, JAX, and vLLM
• Everpure FlashBlade//S™ R2—the industry’s leading unified fast file and object (UFFO) storage platform, engineered from the ground up for flash and purpose-built for AI data pipelines
• An enterprise-grade fabric built on RDMA over Converged Ethernet (RoCE) with Arista 7060DX4 switches—delivering low-latency, high-throughput connectivity across every node in the cluster

The result is a system that functions as a unified AI factory: multi-user, always-on, and capable of managing the full lifecycle of your AI data—from ingestion through training to deployment.

Why storage is the hidden bottleneck in enterprise AI

Most AI infrastructure conversations start with compute. But experienced AI infrastructure leaders know that storage is where AI projects quietly die. High-resolution data sets, model checkpoints, training logs, and inference pipelines all place extreme and simultaneous demands on your storage layer.

FlashBlade was built to handle exactly this. Unlike legacy storage systems retrofitted for AI, FlashBlade//S R2 delivers multi-dimensional performance—meaning it handles any file size, sequential or random I/O, batched or real-time jobs, and tens of millions of metadata operations per second—all simultaneously, without tuning.

Here are some key storage performance benchmarks for the Everpure Enterprise AI Factory with AMD:

Scale without disruption—from a single rack to petabytes

One of the most common enterprise AI infrastructure failures is building for today’s workload and running out of headroom within 18 months. The Everpure Enterprise AI Factory with AMD was designed with a different philosophy: start where you are and grow without rebuilding.

The FlashBlade system’s modular architecture lets you scale capacity and performance independently. Add DirectFlash^® Modules without disruption. Expand across chassis and namespaces as your GPU cluster grows. And with Evergreen//One™, you get a 99.9999% uptime SLA—no planned downtime, no forklift upgrades.

Here’s what that looks like in practice:

Good performance configuration shown. Enhanced (better performance) configurations available—contact your Everpure representative.

Built for the enterprise—not just the lab

The Everpure Enterprise AI Factory with AMD isn’t a proof of concept. It’s an enterprise-grade platform with the operational characteristics that IT leaders and infrastructure teams require:

• Always-on availability: Zero planned downtime. Non-disruptive hardware and software upgrades, capacity expansions, and performance scaling occur while workloads keep running.
• Multi-protocol support: You can use NFS over RoCE for AI training workloads, plus native S3 and SMB—one platform for your entire AI data pipeline.
• Open software stack: AMD ROCm 7 ensures your teams can work with the frameworks they know—PyTorch, JAX, and vLLM—without vendor lock-in.
• Simplified management: Pure1^® cloud management provides a single view to monitor, analyze, and optimize your storage from anywhere.
• Environmental efficiency: You get higher density, lower power consumption, and a smaller data center footprint—without sacrificing performance.

Real-world impact across industries

The Everpure Enterprise AI Factory with AMD is already transforming how organizations across sectors approach AI infrastructure. Here are some common use cases:

• Healthcare: Rapid retrieval and processing of large medical imaging data sets enables AI-driven diagnostics at scale—without storage becoming the bottleneck.
• Financial services: Centralized, high-throughput storage supports AI models that analyze historical market data, detect anomalies, and generate predictions in real time.
• Media and entertainment: Teams can manage petabytes of video and audio data for AI-driven content creation, editing, and personalization at scale.
• Scientific research and HPC: Parallel AI and simulation workloads can run with the sustained throughput and extremely low latency metadata operations they require.

The AI factory is here. Is your infrastructure ready?

Enterprise AI isn’t slowing down. The organizations that will lead the next decade are the ones building infrastructure that can keep pace—not just today, but as models grow, data sets expand, and workloads multiply.

The Everpure Enterprise AI Factory with AMD gives you the storage performance, compute power, and operational simplicity to build that future—without compromise.