WEKA for Cloud Service Providers
As AI and machine learning adoption grows, the demand for robust cloud environments capable of handling intensive workloads and large datasets is increasing. Cloud service providers can leverage WEKA to become key partners in digital transformation, delivering the essential data infrastructure for AI-driven success.
WEKA’s GPU Cloud Customers
NexGen Leverages WEKA for GPU Optimization
“GPU cloud is different because it’s an order of magnitude more complex to design, install, and manage. We have to consider things like power density per rack, storage performance, GPU availability. In our market time is money and ensuring that workloads are performant is super important. WEKA delivers the speed, scale, and simplicity demanded by GPU cloud.”
“To meet NVIDIA’s reference architecture standards, everything must be absolutely top-notch….WEKA has proven to be an excellent partner and is a great fit for our rapidly growing AI requirements. We’re excited to see the full extent of what Yotta and WEKA can achieve together in the future.”
Cloud Service Providers (CSPs) Have Unique Needs
Storage Expertise
We know the primary focus of cloud service providers is to deliver scalable compute resources, network services, and overall cloud infrastructure.
Cloud service providers can rely on WEKA’s in-depth knowledge to optimize storage performance, manage complex data environments, and implement advanced storage technologies.
Multiple Workloads
Cloud service providers must offer flexible, efficient, and scalable infrastructure that can dynamically adapt to different workload demands while maintaining high performance and cost-efficiency.
WEKA is designed to optimize the unique requirements of AI and machine learning data pipelines, including high I/O throughput and low latency.
Narrow Margins
In an industry marked by narrow margins, Cloud service providers need infrastructure that minimizes administration and maximizes efficiency.
WEKA efficiently manages costs and maximizes revenue, which means that cloud service providers can offer competitive pricing, attract more customers, and maintain a healthy bottom line.
Power Availability
The densification of compute in AI-oriented data centers are increasingly constrained by power availability. In an environment where power is at a premium, optimizing the efficiency of power usage is critical.
WEKA maximizes the computational output per unit of energy consumed to ensure cloud service providers can meet the demands of modern workloads without exceeding power capacity limits.
Now certified for NVIDIA Cloud Partners
The WEKA® Data Platform is now certified as a high-performance data store solution for NVIDIA Cloud Partners.
This certification provides a scalable template NVIDIA cloud partners to leverage WEKA’s exceptional performance, scalability, and operational efficiency. The WEKA Data Platform supports large-scale AI deployments with high throughput and scalability, fully utilizing NVIDIA’s advanced GPU technology.
Why WEKA for CSPs
Performance
Unbeatable file and object performance ensures the high throughput and low latency that are critical for diverse AI and ML workloads. Optimizing GPU performance also enhances the efficiency of computationally intensive tasks and drives better return on investments.
Simplicity
Eliminate the need for separate metadata and data servers with a flexible, scalable architecture. Automated resource allocation and fast cluster creation ensures optimal resource utilization and rapid scalability.
Multitenancy
WEKA’s multitenancy capabilities enable CSPs to efficiently manage and allocate resources across multiple tenants on shared hardware infrastructure. This modern, cloud-native approach lowers costs and improves service quality and efficiency.
Zero-Tuning
Zero-tuning ensures out-of-the-box, optimal performance for cloud service providers eliminating the need for manual adjustments or configurations. This simplifies maintenance and operational complexity and ensures consistent high performance across GPU cloud environments.
Metadata
Containers on every node perform both metadata and data functions, and the WEKA architecture is flexible – scaling in single node increments and enabling protocols without additional hardware gateways and eliminating complexities.
Power Efficiency
Achieve the best power efficiency per kWh, maximizing performance while minimizing energy costs. Optimizing GPU utilization and eliminating the need for overprovisioning further reduces overall energy savings and a reduced environmental impact.
WEKAs Saturates Single NVIDIA DGX/HGX Systems and NVIDIA GPUs at Scale
The WEKA Data Platform delivers high throughput and low latency in a compact, efficient footprint, reducing costs and environmental impact.
