WEKA Storage | Solution - GIGABYTE Global

Maximize GPU cluster throughput and efficiency

WEKA's high‑performance data platform delivers fast, unified, and scalable data access for AI and other compute‑intensive workloads. When combined with GIGABYTE's high‑throughput NVMe servers and automated management software, WEKA delivers improved performance for AI pipelines. It ensures that GPUs receive data quickly and consistently so they can operate at full efficiency, accelerating every workflow from model training to inference, machine learning operations to data pools.

Why Choose WEKA High-Performance Data Platform?

WEKA delivers the next generation of microservice based architecture for extreme efficiency and resilience in large-scale AI workloads.

Extreme Performance: Distributed POSIX-compliant file system built for AI and HPC workloads. Delivers consistently low latency for both small random I/O and large sequential operations.
Cloud-Native Consistency: Unified data platform across on-prem, cloud, and hybrid environments with seamless data flow and consistent access control.
Simplified Data Pipelines: Single namespace supports high-performance file I/O and S3-compatible object storage tiering, reducing data preparation time.
Elastic Scalability: Expand capacity and throughput linearly by adding nodes, no downtime, no data migration.
Optimized TCO: Software-defined architecture maximizes hardware ROI, lowering cost per TB and reducing operational complexity.

“This WEKA NeuralMesh™ deployment delivers unified storage and multi-cloud flexibility, for performance and scalability at any scale.”

Core Capabilites

Protocol Support

POSIX (native), NFS/SMB (via protocol services), S3 (compatible)

Data Tiering

Hot tier (NVMe) ↔ Warm/Cold tiers (object storage) with automated tiering

Data Protection

Snapshots, replication, quotas, and multi-tenancy isolation

Observability

Real-time telemetry and APIs integrated with GPM and third-party monitoring

Zero-Copy Path

GPUDirect Storage for accelerated GPU data access

Data Consistency

Strong consistency with real-time metadata indexing

Integration with GIGABYTE

"8 x Gen5 NVMe storage servers"

Scalable GIGABYTE x WEKA Architecture

The GIGABYTE x WEKA storage acceleration solution requires only 8 storage nodes in the cluster to significantly boost performance, with flexible options across various form factors including 1U, 2U, and 2U 4-node high-density configurations. This architecture pairs a high-performance NVMe tier with an expandable object tier, all interconnected via high-bandwidth lossless fabrics (RoCEv2/InfiniBand) and UfiSpace Open Networking Solutions to ensure end-to-end low latency and seamless linear scaling.

"A unified GPM interface that seamlessly integrates WEKA software, giving users clear, instant access to storage health, performance, and capacity insights.'"

Unified Management

GIGABYTE POD Manager (GPM), acts as the management platform for the overall environment, and can seamlessly integrate hardware resources with WEKA's software defined storage services. Through automated deployment and firmware update features, administrators can complete large‑scale cluster initialization and rapid expansion with a single click, significantly reducing operational costs.

Key Advantages:

Comprehensive real‑time monitoring: A visualized dashboard deeply integrates node status, capacity utilization, and IOPS performance reports, making system health instantly clear.
Proactive operations management: With intelligent alert notifications and standard APIs, it can easily integrate with existing management workflows, enabling failure prediction and rapid issue resolution.
Efficient resource allocation: Designed for high‑density computing, it ensures that the storage architecture maintains stable, low‑latency performance even under heavy AI workloads.

Zero Tuning

AI at scale depends not only on the performance of the initial deployment (Day 0) but also on long‑term operational efficiency and system stability. Unlike traditional parallel file systems, WEKA’s NeuralMesh™ is purpose‑built for effortless expansion, featuring automatic optimization, rapid self‑healing, and seamless online upgrades. Whether scaling capacity dynamically, managing multi‑tenancy, or migrating workloads, NeuralMesh ensures that your AI data pipeline consistently maintains peak performance.

Optimized Infrastructure

Multi-protocol / zero copy
No additional gateways
2x 400Gb CX-7 per WEKA storage node

Load Balancing

Automatic load balancing and distribution of data.
Default write latency optimization and adaptive caching.

Multi Tenancy

Secure multi-tenancy with physical resource isolation per tenant with in-flight & at-rest data encryption
Tenant RBAC
Authenticated mounts

Flexible Scaling

Scale up and/or shrink cluster non-disruptively and online
Linear data & metadata scaling
Add cost optimized tier 2 when required

Non-Disruptive Upgrades

Non-disruptive upgrades.
Upgrade entire cluster or batch upgrade of tenants/applications.

Disaster Recovery

Instantaneous non-impact snapshots & Snap-to-Object
Quick self healing and intelligent low-impact rebuilds

Deployment & Delivery Services

Assessment & Design: The team studies your workloads and data. They estimate how much capacity and performance you need. They design how the network will be connected so the system runs efficiently.
PoC/Validation: A small trial is set up. Tests and benchmarks are done to confirm performance. They connect the trial system to your existing tools and processes to verify compatibility.
Go-Live & Migration: The plan for moving data is created and executed. This includes tiering data to the right storage and choosing online or offline migration methods. The goal is a smooth transition to production.
Performance Tuning: Settings are optimized so GPUs receive data quickly. Cluster and client parameters are adjusted to reach target throughput and latency.
Maintenance & Management: Ongoing management is provided. The delivery team uses the GPM monitoring dashboard, reports on service levels, and handles version updates through the software lifecycle.

Application Scenarios

Semiconductor Industry

Designed specifically for EDA verification workloads, it handles tens of billions of concurrent file operations while maintaining consistently low latency, thereby improving simulation efficiency and product yield.

Media and Entertainment

Delivers extremely high IOPS and strong concurrent access performance to ensure smooth 4K/8K video editing and 3D rendering workflows, allowing production teams to eliminate storage bottlenecks.

Research Institutes

Enables seamless data mobility between on‑premises and cloud environments through a unified global namespace, simplifying cross‑team collaboration and shortening research cycles.