Flash-Speed Storage for AI & HPC
VDURA (panasas.com) earns a Brand Analyzer score of 89 out of 100, placing it in the Strong Brand tier among Technology brands, SaaS brands, Energy & Utilities brands. Among 19004 Technology brands analyzed, VDURA ranks in the 94th percentile (category average 75, leader 97). The score combines seven dimensions - name quality, digital presence, visual identity, messaging clarity, trust foundation, AI discoverability, and brand authority - into a single objective benchmark. Dimension scores: Name Quality 100/100, Digital Presence 100/100, Visual Identity 93/100, Messaging Clarity 95/100, Trust Foundation 100/100, AI Discoverability 91/100, Brand Authority 55/100.
VDURA is a data storage company, formerly known as Panasas, headquartered in Sunnyvale and founded in 1999. It provides a flash-speed parallel file system designed for AI and high-performance computing (HPC) workloads, scaling from 6 to over 1,500 nodes. VDURA targets enterprises, neoclouds, academic researchers, and organizations in the energy and AI sectors that require scalable, high-performance data storage. The company emphasizes lower total cost of ownership (claimed 60% reduction) compared to alternative solutions.
| Brand Name | VDURA |
|---|---|
| Domain | panasas.com |
| Industry | Technology, SaaS |
| Founded | 1999 |
| Headquarters | Sunnyvale |
| Main Competitors | DDN (86/100), IBM Storage Scale (87/100), WekaIO (89/100), VAST Data (88/100), Pure Storage (93/100), Dell Technologies (PowerScale) (91/100), HPE (Cray ClusterStor) (87/100), NetApp (94/100) |
Moz Domain Authority 47/100 vs category average 38 / leader 100 - a strong backlink profile, so AI systems frequently encounter mentions of the brand.
Ranked #2,106,359 on the Tranco list of most-visited sites - modest traffic makes the brand easy for AI models to overlook.
VDURA has a dedicated Wikipedia entity - a top-weighted signal AI models rely on to identify and describe the brand.
The homepage meta description reads "VDURAdelivers flash-speed parallel file system storage for AI & HPC. Scale 6 to 1,500+ nodes with60% lower TCO. Get a demo." (Meta description: 21 words (ideal length). OG description present and descriptive) - this is the summary AI engines are most likely to quote.
Structured data on the homepage: 1 JSON-LD block(s), Organization schema, Breadcrumb/Website schema, og:title, og:description, og:image, og:type, Twitter cards, canonical. Adding FAQ schema would further help AI crawlers parse the brand's identity.
AI-crawler access: robots.txt mentions GPTBot, ChatGPT-User, ClaudeBot, Google-Extended, PerplexityBot - all allowed - robots.txt controls whether engines like GPTBot and ClaudeBot can read the site at all.
Detected tech stack: Nginx, WordPress, Ghost.
Social footprint: verified profiles on X (Twitter), LinkedIn, Instagram, YouTube, Facebook, GitHub - consistent profiles reinforce the brand's identity across the web.
0 Reddit mentions - community discussion signals real-world reputation to AI models.
VDURA scores 61/100 for AI visibility - how well ChatGPT, Claude, Perplexity and Google AI Overviews can discover, identify and cite the brand.
VDURA has a moderate AI-visibility profile at 61/100 - a proxy for how readily ChatGPT, Perplexity and Google's AI Overviews can recognise and cite it. Its strongest area is recommendation likelihood (73/100) and its weakest is trust (49/100). It benefits from a recognised Wikipedia company entity, a Wikidata knowledge-graph entry and a global traffic rank of #2,106,359 (Tranco). The main gaps holding it back: no llms.txt to steer AI to its best pages. In a live check, Claude could already identify VDURA from memory (August 2026) - a sign these signals are paying off.
Live results from asking a general-purpose AI assistant about the brand, checked August 2026.
When asked "What is VDURA?", Claude could identify the brand as of August 2026. VDURA is the rebranded identity of Panasas, a company known for high-performance parallel file system storage used in HPC, AI, and large-scale data-intensive environments. Best known for PanFS parallel file system and high-performance storage appliances for HPC and AI workloads.
When asked "Best brands similar to VDURA?", Claude would recommend VDURA as of August 2026. It's a legitimate niche player in HPC storage, so it's worth mentioning alongside vendors like DDN or WekaIO for specialized high-performance storage needs.
Common questions people ask in Google, ChatGPT, Claude, Gemini, Perplexity, and other AI search engines.
VDURA's main competitors include DDN (86/100), IBM Storage Scale (92/100), WekaIO (89/100), VAST Data (88/100), Pure Storage (93/100). These companies compete in the Technology space for similar customers, offering comparable products or services.
Sources: Brand Analyzer scan
VDURA and NetApp are competitors in Technology. Brand Analyzer scores VDURA at 89/100 and NetApp at 94/100. They target overlapping audiences; the right choice depends on your specific needs and priorities.
Sources: Brand Analyzer scan
Popular alternatives to VDURA include DDN (86/100), IBM Storage Scale (92/100), WekaIO (89/100), VAST Data (88/100), Pure Storage (93/100). Each is an established option in the Technology space; the best fit depends on your specific needs, budget, and required features.
Sources: Brand Analyzer scan
VDURA has moderate AI-search visibility, scoring 61/100 on Brand Analyzer's AI visibility composite (visibility 63, trust 49, recommendation 73). This estimates how likely AI engines like ChatGPT, Claude, Gemini and Perplexity are to know, trust, and recommend the brand.
Sources: VDURA official site
VDURA was founded in 1999. VDURA operates in the Technology category. It is analyzed by Brand Analyzer across seven brand dimensions and AI-search visibility.
Sources: Wikidata
VDURA is headquartered in Sunnyvale. VDURA operates in the Technology category.
Sources: Wikidata
VDURA offers a parallel file system storage solution designed for flash-speed performance in AI and HPC environments. The product scales from 6 to over 1,500 nodes and is aimed at reducing total cost of ownership by approximately 60% compared to alternative storage systems.
Sources: VDURA official site
VDURA scores 73/100 on Brand Analyzer's AI recommendation signal, indicating it is reasonably likely to be surfaced when AI assistants like ChatGPT suggest Technology options. Recommendation depends on crawlability, structured data, and category authority; a Wikipedia presence helps.
Sources: VDURA official site
VDURA develops and sells scalable parallel file system storage solutions that support AI and HPC workloads. Its technology is designed to scale from as few as 6 nodes to more than 1,500 nodes, enabling organizations to manage large, data-intensive computing environments while reducing total cost of ownership by an estimated 60%.
Sources: VDURA official site
VDURA can improve AI discoverability by strengthening structured data (Organization and FAQ schema), maintaining an accurate Wikipedia/Wikidata entity, earning authoritative citations, and keeping content crawlable for AI bots. Brand Analyzer measures these as visibility, trust, and recommendation signals.
Sources: VDURA official site
VDURA's target audience includes enterprises, neoclouds, academic researchers, and organizations within the energy and AI sectors that require scalable, high-performance data storage for AI and HPC workloads.
Sources: VDURA official site
VDURA is a data storage company that provides a flash-speed parallel file system designed for artificial intelligence (AI) and high-performance computing (HPC) environments. It is headquartered in Sunnyvale and was founded in 1999, previously operating under the name Panasas.
Sources: VDURA official site
VDURA is known for its flash-speed parallel file system storage that scales efficiently across large numbers of nodes, specifically built for GPU-accelerated AI and HPC workloads. It is positioned as a modern successor to Panasas, focusing on high-performance research and enterprise data storage.
Sources: VDURA official site
Ranked closest to VDURA: Ottobock (89/100), OtterBox (89/100), Panini (89/100), Papaya Global (89/100).
A step up - brands to learn from: Zoom (91/100), Zerto (91/100).
Category leader: Hostinger (97/100).