computer science

VDURA

VDURA is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand VDURA rather than just read about it. In short: VDURA (formerly Panasas) is an American software-defined storage company that develops data infrastructure for artificial intelligence (AI) and high-performance computing (HPC). It is headquartered in San Jose, California, with additional offices in Pittsburgh, Pennsylvania, and Boulder, Colorado.

Key takeaways

VDURA belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect VDURA to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of VDURA from memory before moving on to harder problems.

Reference excerpt

VDURA (formerly Panasas) is an American software-defined storage company that develops data infrastructure for artificial intelligence (AI) and high-performance computing (HPC). It is headquartered in San Jose, California, with additional offices in Pittsburgh, Pennsylvania, and Boulder, Colorado.

History Panasas was founded in 1999 by computer scientist Garth Gibson, co-inventor of RAID and creator of the PanFS parallel file system. The company introduced its first parallel network-attached storage system in 2004. On May 7, 2024, Panasas rebranded as VDURA, a name derived from "velocity" and "durability," marking its transition from proprietary hardware appliances to a software-defined, subscription-based model. In 2025, the company announced updates to the VDURA Data Platform, including Version 11.2 with Kubernetes CSI integration, end-to-end encryption, and a premium support program. The release also previewed V-ScaleFlow, a tiering technology designed to move data between QLC flash and high-density HDDs.

Products and technology VDURA develops the VDURA Data Platform (VDP), a modular software-defined storage system designed for artificial intelligence (AI) and high-performance computing (HPC) workloads. The platform employs a microservices architecture and the VeLO (Velocity Layer Operations) metadata engine, which manages parallel performance at scale and provides key-value operations for billions of files. The platform supports erasure coding, automated load balancing, and unified management across flash and disk media. It is designed for concurrent read/write performance and includes policy-driven tiering between high-performance flash and high-capacity hard disk drives.

VDURA Data Platform v11.2 (2025): Introduced support for Kubernetes CSI integration, end-to-end encryption, and the "VDURACare Premier" support program; also previewed V-ScaleFlow, a tiering technology to optimize use of QLC flash and high-density HDDs. V5000 all-flash appliance (2025): An all-flash system optimized for AI/ML throughput with erasure-coded scalability and high IOPS performance. VDURA markets its solutions for diverse data-intensive domains including life sciences, energy exploration, finance, government research, and media production, alongside AI training and simulation environments.

Partnerships and recognition In April 2025, VDURA was included in the CRN Storage 100 list of software-defined storage vendors, noting the platform’s AI-oriented architecture and metadata engine. In August 2025, VDURA announced a research partnership with New Mexico State University to explore integrating NIST-standard post-quantum cryptography into its data platform for GPU-accelerated workflows. At ISC 2025, Goethe University Frankfurt discussed using VDURA’s platform alongside a large AMD GPU cluster for AI and scientific research workloads, reporting performance and scalability characteristics for 24×7 operation. In September 2024, VDURA announced a strategic partnership with Jeskell Systems, aimed at enhancing IT modernization efforts across federal, public sector, and commercial clients. VDURA also maintains collaborations with multiple technology partners in AI, data protection, HPC, and simulation, including AMD, ANSYS, Altair, Atempo, Autodesk, Cadence, and Agiga.

Events and industry presence In March 2025, VDURA participated in NVIDIA GTC, showcasing real-world use cases such as Toyota’s use of large language models for traffic analysis and Valley Water’s application of AI for water-flow forecasting. In June 2025, the company hosted the VDURA AI Data Challenge @ ISC 2025 in Hamburg, demonstrating its data infrastructure for AI and HPC workloads (Booth G21). In July 2025, VDURA recapped AI demonstrations and webinars, emphasizing applications across transportation, environmental management, and scientific workloads. In August 2025, VDURA sponsored the Monterey Data Conference (MDC), presenting updates to the V11 platform and noting a contract with a U.S. federal systems integrator. Later in 2025, VDURA is scheduled to exhibit at several additional international conferences, including:

**Supercomputing 2025 (SC25)** – St. Louis, Missouri (November 16–21, Booth 2033). **NVIDIA GTC, Washington, D.C.** – October 27–29, 2025. **CIUK 2025** – Manchester, UK (December 4–5). **DiRAC Day 2025** – Stoke-on-Trent, UK (December 11).

Notable events At Supercomputing 2024 (SC24), VDURA participated in a promotional event featuring strongman Hafþór Júlíus Björnsson, highlighting data-at-scale performance messaging with high-capacity SSD media.

References

Worked examples

Example 1 — a first encounter with VDURA

Start with the simplest possible case. Write down what VDURA claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to VDURA before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about VDURA ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of VDURA

In research: VDURA appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses VDURA in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: VDURA is common in secondary-school and first-year university syllabi. It links to neighbouring topics American companies established in 1999, Computer companies established in 1999, Computer companies of the United States, so understanding it makes those chapters shorter.
In everyday life: Look for VDURA outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study VDURA in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what VDURA means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain VDURA out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is VDURA in simple terms?

Why does VDURA matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study VDURA?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on VDURA.