Hybrid Architecture
VDURA’s design combining SSD speed and HDD capacity for balanced cost/performance.
Hyperscale Economy
Ability to scale computing/storage efficiently and cost effectively, similar to hyperscalers.
Inference (AI)
Inference in AI is the process where trained machine learning models make predictions, classifications, or decisions based on new input data. Unlike training, which involves extensive computational resources to develop the model, inference focuses on applying the model to generate real-time insights or decisions. Inference tasks are essential for applications like image recognition, natural language […]
IOPS
Input/Output Operations Per Second. Measure of how many read/write operations a system can perform per second.
Latency
The time delay between request and response, critical in HPC/AI workloads.
Latency
In computing, latency refers to the time delay between a request for data and the response, representing the speed at which data can be accessed or transferred within a system. In High-Performance Computing (HPC) and AI applications, lower latency is essential for efficient data processing, as even small delays can impact overall performance, especially in […]
Lustre
Open-source parallel file system widely used in HPC.
Machine Learning (ML)
Machine Learning (ML) is a subset of artificial intelligence (AI) that allows systems to learn from and make decisions based on data, improving performance over time without explicit programming. Through ML algorithms, systems identify patterns, make predictions, and adapt autonomously, which is critical in applications like recommendation engines, fraud detection, and predictive maintenance. Effective ML […]
Metadata
VDURA’s advanced protection using layered EC for up to 12 nines durability.
Model Training
Model training in AI is the process of feeding large datasets into an algorithm, allowing it to learn from data patterns and improve its predictive accuracy over time. During training, the model adjusts its internal parameters through iterative learning, using techniques like supervised, unsupervised, or reinforcement learning to refine its outputs. This phase is computationally […]