high performance computing platforms for research
AI Search Visibility Analysis
Analyze how brands appear across multiple AI search platforms for a specific prompt
Total Mentions
Total number of times a brand appears
across all AI platforms for this prompt
Platform Presence
Number of AI platforms where the brand
was mentioned for this prompt
Linkbacks
Number of times brand website was
linked in AI responses
Sentiment
Overall emotional tone when brand is
mentioned (Positive/Neutral/Negative)
Brand Performance Across AI Platforms
| BRAND | TOTAL MENTIONS | PLATFORM PRESENCE | LINKBACKS | SENTIMENT | SCORE |
|---|---|---|---|---|---|
1AWS | 0 | 2 | 95 | ||
2Google Cloud | 0 | 2 | 95 | ||
3NetApp | 0 | 2 | 79 | ||
4IBM | 0 | 0 | 63 | ||
5Microsoft Azure | 0 | 0 | 63 | ||
6OpenHPC | 0 | 0 | 63 |
Strategic Insights & Recommendations
Dominant Brand
AWS emerges as the most frequently mentioned cloud HPC provider across all platforms, with Google Cloud also receiving consistent coverage.
Platform Gap
ChatGPT focuses on institutional and national resources, Google AIO emphasizes technical capabilities, while Perplexity provides the most comprehensive coverage including performance benchmarks.
Link Opportunity
There's significant opportunity to create detailed comparison guides between cloud HPC providers and institutional clusters, as well as cost-benefit analyses for different research scenarios.
Key Takeaways for This Prompt
Cloud-based HPC solutions like AWS and Google Cloud offer scalable, pay-as-you-go alternatives to traditional institutional clusters.
University-based HPC resources provide specialized support and compliance capabilities for academic research requirements.
Leading supercomputers like Fugaku and LUMI deliver extreme performance for the most demanding computational research projects.
Modern HPC platforms increasingly integrate AI and machine learning capabilities alongside traditional high-performance computing.
AI Search Engine Responses
Compare how different AI search engines respond to this query
ChatGPT
BRAND (4)
SUMMARY
ChatGPT provides a comprehensive overview of HPC platforms categorized by type: national supercomputing centers (SDSC, PSC), university-based resources (Princeton, UVA), cloud solutions (AWS, Google Cloud), open-source frameworks (OpenHPC), and industry partnerships (IBM-Cleveland Clinic). The response emphasizes factors to consider when selecting platforms including computational requirements, security, scalability, and support services.
REFERENCES (8)
Perplexity
BRAND (3)
SUMMARY
Perplexity delivers the most detailed analysis, featuring specific institutional clusters (UCSF Wynton, NYU Greene), commercial cloud platforms (AWS, Google Cloud), and a comprehensive table of leading supercomputers with performance metrics. It includes technology providers like NVIDIA and NetApp, plus security considerations, providing practical guidance for researchers selecting HPC solutions.
REFERENCES (8)
Google AIO
BRAND (4)
SUMMARY
Google AIO focuses on the technical aspects and applications of HPC platforms, explaining parallel processing, scalability, and specialized hardware. It categorizes platforms into CPU clusters, GPU clusters, cloud-based services (AWS, Google Cloud, Microsoft Azure), and specialized HPC centers like MGHPCC. The response highlights diverse research applications from genomics to climate modeling.
REFERENCES (15)
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