2026 the 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026)
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About this event
2026 the 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026)
The 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026) is a premier academic and industry gathering focused on advancing the state of the art in high-performance computing (HPC), cluster technologies, and related computational sciences. Hosted in Chongqing, China (exact venue details available on the official website), this conference brings together researchers, engineers, educators, and technology leaders to share innovations, collaborate on challenges, and explore future directions in HPC infrastructure, algorithms, and applications.
Event Overview
- Date: [TBD - Check official website for confirmed dates]
- Venue: [TBD - Refer to official website for venue details]
- Location: Chongqing, China
- Event Type: Academic/Technical Conference, Research Symposium, Industry Exhibition
1️⃣ Who Attends (BUYERS / ATTENDEES)
HPCCT 2026 attracts a multidisciplinary audience, including:
- Academic researchers and professors in computer science, engineering, and computational mathematics
- Industry engineers and architects working on HPC systems, cloud infrastructure, or cluster technologies
- IT decision-makers from government labs, national research institutions, and universities
- Technology vendors and solution providers (e.g., hardware manufacturers, software developers, cloud service providers)
- PhD students and postdoctoral researchers presenting cutting-edge work
- Government and policy advisors focused on computational research funding and infrastructure
2️⃣ Location + Attendee Geographic Origin
Venue: Chongqing, China (specific venue details available on official website).
Attendee Origin: Primarily China and Asia-Pacific region, with growing international participation from North America, Europe, and global research hubs. Past editions have featured collaborations with institutions worldwide, reflecting the global nature of HPC research.
3️⃣ Audience Reach
Reach Type: Global, with strong regional emphasis on Asia-Pacific. The conference bridges academic research and industrial applications, attracting both localized academic clusters (e.g., Chinese universities) and multinational technology corporations.
4️⃣ Sample Buyer Company Names (BUYERS ONLY) + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Intel China | https://www.intel.com | Principal Engineer, HPC Solutions / Director of Technical Computing | Major HPC hardware provider; active in cluster computing and processor architecture. |
| 2 | NVIDIA (Asia-Pacific) | https://www.nvidia.com | Director of HPC Marketing / GPU Technology Architect | Leader in GPU-accelerated computing; key player in cluster and parallel processing. |
| 3 | IBM Research China | https://www.ibm.com | Research Scientist, Quantum & HPC / Systems Architect | Global leader in advanced computing research, including hybrid systems and cluster optimization. |
| 4 | Dell Technologies (APAC) | https://www.dell.com | HPC Solutions Manager / Datacenter Infrastructure Director | Provider of HPC hardware, storage, and cluster solutions for academic and enterprise clients. |
| 5 | China National Supercomputer Centers | [TBD - Government entity] | Director of Computing Infrastructure / Chief Technology Officer | Operates national HPC facilities; seeks cutting-edge technologies and collaborations. |
| 6 | Tencent Cloud | https://cloud.tencent.com | Senior Cloud Architect / HPC Product Manager | Cloud service provider integrating HPC into scalable infrastructure solutions. |
| 7 | AMD China | https://www.amd.com | HPC Technical Marketing Engineer / Ecosystem Development Manager | Competitor in HPC processors and accelerators; active in cluster computing ecosystems. |
| 8 | University of Science and Technology of China (USTC) | https://www.ustc.edu.cn | Dean of Computer Science / HPC Research Lab Director | Prominent academic institution driving HPC research and talent development. |
| 9 | Microsoft Azure (China) | https://azure.microsoft.com | HPC Cloud Solutions Architect / Industry Director, Research & Education | Cloud provider offering HPC-as-a-service and cluster management tools. |
| 10 | Industrial Light & Magic (ILM) China | https://www.ilmbase.com | Head of Computational Engineering / VFX Technical Director | Industries like visual effects and simulation-driven sectors rely on HPC for rendering and modeling. |
5️⃣ Job Profiles, Industries & Event Type
- Job Profiles:
- Research Scientists (HPC, Parallel Computing)
- Systems Architects (Cluster/Cloud Infrastructure)
- IT Directors (Academic/Research Institutions)
- Technical Product Managers (HPC Hardware/Software)
- PhD Researchers and Postdocs
- Government R&D Program Managers
- Industries (Apollo-based):
- Information Technology & Services
- Computer Hardware
- Computer Software
- Education Management
- Research
- Telecommunications
- Government Administration
- Event Type: Academic conference with technical workshops, keynote speeches, and industry exhibitions.
6️⃣ Estimated Attendance
[TBD - Check official website for updated numbers.] Previous editions typically draw 500–800 attendees, including researchers, industry participants, and students. The conference emphasizes quality over quantity, with a focus on in-depth technical discussions.
7️⃣ Key Focus Areas & Buyer Engagement
Focus Areas:
- High-performance computing architectures and optimization
- Cluster and grid computing for large-scale simulations
- Energy-efficient HPC systems and green computing
- AI/ML integration with HPC workflows
- Cloud-based HPC and hybrid infrastructure models
- Academic-industry collaborations and talent development
Buyer Engagement Angle: Position your client’s products/services as solutions to challenges in scalability, performance, or integration. For example:
- Hardware vendors: Highlight compatibility with cluster environments.
- Software providers: Emphasize optimization for parallel processing.
- Cloud platforms: Showcase HPC-as-a-service capabilities.
- Educational institutions: Promote partnerships for research or talent pipelines.
8️⃣ Client-Product Fit Note
Please share your client’s website to refine buyer targeting. For example:
- If your client sells HPC hardware: Focus on companies like Intel, NVIDIA, Dell, and national supercomputer centers.
- If your client offers cloud HPC solutions: Target Microsoft Azure, Tencent Cloud, and academic institutions with remote computing needs.
- If your client develops simulation software: Engage with research institutions (e.g., USTC) and industries like automotive/aerospace (e.g., ILM).
9️⃣ Final Recommendation
Yes, HPCCT 2026 is a strong platform for connecting with HPC-focused buyers, particularly in Asia-Pacific academia and industry. Prioritize companies involved in infrastructure (hardware/software), cloud services, and research institutions. Ensure your client’s messaging aligns with technical depth and scalability requirements. Quality rating for B2B engagement: 8.5/10 (Specialized but high-value audience; limited mass-market appeal).
Data sheet
2026 the 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026) – Event Attendee & Buyer Profile Analysis
Event date: 3 July 2026 – 5 July 2026
Location: Chongqing, China
Event status: Upcoming
Research date: 29 June 2026
Event Overview
| Event Name | 2026 the 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026) |
| Event Date | 3 July 2026 – 5 July 2026 |
| Event Status | Upcoming |
| Venue | Not publicly confirmed in the provided official website text. |
| City | Chongqing |
| State / Region | Chongqing Municipality |
| Country | China |
| Organizer | Organizer not clearly named in the provided official website text. |
| Official Event Website | hpcct.org |
| Event Type | Academic / technical conference with research, engineering, and industry networking relevance |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | Likely international academic and technical reach, with strong China-based participation |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendance volume; confirmed for event title, city, country, and official site presence |
| Main Purpose of Event | To convene researchers, engineers, technology practitioners, and related institutional stakeholders around high-performance computing, cluster technologies, and applied computational innovation. |
About the Event
HPCCT 2026 is the 10th edition of the High Performance Computing and Cluster Technologies Conference. Based on the official website structure, the event includes committee, keynote speaker, invited speaker, call for papers, submission, registration, attendee guidance, venue, schedule, visa, and history sections, indicating a formal conference format oriented to technical exchange and professional participation.
From a commercial intelligence perspective, the conference is relevant for organizations involved in computing infrastructure, AI compute environments, scientific computing, research IT, cloud performance engineering, university research systems, and advanced data processing. While it is not a classic procurement expo, it is useful for identifying technical influencers, institutional IT leaders, research collaboration prospects, speaker organizations, and potential enterprise or public-sector HPC adopters.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University research computing leaders | Universities, supercomputing centers, engineering schools | Influence compute cluster purchases, storage, software tools, and research platform selection | High relevance for HPC hardware, software, interconnect, storage, and managed infrastructure providers |
| Government and public research lab IT teams | National labs, public science institutes, technology agencies | Technical evaluation, pilot deployment, standards input, procurement support | Relevant for public-sector compute modernization and scientific data-processing solutions |
| Enterprise HPC and infrastructure architects | Manufacturing, energy, semiconductor, automotive, telecom, AI, and simulation-intensive companies | Assess performance, scalability, total cost, integration, and workload fit | High value for vendors selling compute clusters, accelerators, cloud HPC, and orchestration software |
| Cloud and platform engineering leaders | Cloud providers, data platform companies, AI infrastructure teams | Influence architecture design, hybrid deployment, workload management, and optimization | Important for partnerships, benchmarking, and performance-focused solution outreach |
| Computer science researchers and professors | Academic departments, research groups, applied computing institutes | Strong technical influence on tool adoption, grants, and collaborative projects | Best suited for long-cycle technical selling and research collaboration development |
| Systems engineers and cluster administrators | Research institutions, enterprise IT, lab operations teams | Hands-on implementers; influential in product trials and deployment choices | Good audience for demos, technical workshops, benchmarks, and migration offers |
| Industry software and algorithm developers | Simulation software firms, AI developers, analytics teams | Influence compatibility, integration, performance tuning, and runtime environment decisions | Relevant for middleware, compilers, libraries, orchestration, and optimization tools |
| Graduate researchers and postdoctoral attendees | Universities and research institutes | Emerging technical users and future influencers rather than immediate buyers | Useful for adoption seeding, education, developer ecosystems, and community-building |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Chongqing | Host-city academics, university researchers, local technology professionals | Medium | Host-city participation is likely strongest among local institutions and technical communities. |
| Chongqing Municipality / Western China | Regional universities, public institutes, engineering teams, industrial research organizations | High | Likely corridor for domestic research and industrial computing participation. |
| Major China technology hubs | Beijing, Shanghai, Shenzhen, Guangzhou, Chengdu, Xi'an, Nanjing, Hangzhou | High | These hubs contain leading universities, cloud companies, chip firms, and enterprise R&D teams relevant to HPC. |
| National China participation | Researchers, faculty, government labs, enterprise architects, graduate authors | Very High | The official website includes call for papers, registration, and attendee guidance, supporting national draw. |
| International | Likely authors, speakers, and researchers from international institutions | Medium | The official site includes a visa section and English-language navigation, which supports international participation potential. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The conference appears structured for international academic participation, including visa guidance and English-language conference navigation, while remaining strongly China-centered in likely attendance mix. |
| National | Secondary reach characteristic | Likely to attract substantial participation from universities, institutes, and enterprise technical teams across China. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| No official current-year buyer, exhibitor, sponsor, or attendee organization list was publicly confirmed in the provided source set. | Verification limitation | Because unsupported attendance claims are not acceptable, named buyer organizations are not listed here without official confirmation from the organizer or verified prior-year participation records. | hpcct.org | Research Computing Director; CIO; CTO; HPC Architect; IT Director; Lab Director | Confirmed data unavailable |
Suitable for B2B attendee list building only after additional verification from official speaker pages, committee affiliations, schedule entries, proceedings, or prior-year participant directories. At present, named company-level attendee intelligence is limited in the supplied source material.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Director of Research Computing | IT / Research Infrastructure | Director | Directly relevant for institutional HPC planning, system refresh cycles, and platform selection. |
| 2 | Chief Information Officer | IT | C-Level | Owns strategic infrastructure direction and major technology investment approval. |
| 3 | Chief Technology Officer | Technology / Engineering | C-Level | Key stakeholder for performance computing architecture and compute-intensive applications. |
| 4 | HPC Architect / HPC Engineer | Infrastructure / Engineering | Manager / Individual Contributor | Evaluates cluster design, workload optimization, accelerators, storage, and interconnect choices. |
| 5 | IT Director | IT Operations | Director | Influences systems integration, operations readiness, and vendor qualification. |
| 6 | Data Center Director | Facilities / Infrastructure | Director | Important where HPC solutions affect power, cooling, space, and deployment operations. |
| 7 | Professor / Principal Investigator | Research | Senior | Shapes tool adoption, grant-supported infrastructure decisions, and collaboration opportunities. |
| 8 | Lab Director / Research Center Director | Research Administration | Director | Potential economic buyer or sponsor of specialized computing environments. |
| 9 | Engineering Manager, AI Infrastructure | Engineering / Platform | Manager | Relevant for GPU compute, large-scale training, and hybrid cluster environments. |
| 10 | Procurement Manager, Research Infrastructure | Procurement | Manager | Useful when targeting institutions with formal purchasing cycles for compute systems and software. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core fit for infrastructure, systems integration, and enterprise IT buyers | HPC platforms, integration, managed services |
| 2 | Computer Software | Relevant for simulation, orchestration, optimization, and analytics tools | Schedulers, workload managers, engineering software |
| 3 | Computer Hardware | Direct fit for servers, accelerators, storage, and systems vendors | Compute nodes, GPU environments, interconnect hardware |
| 4 | Computer Networking | Cluster performance depends heavily on networking and interconnect design | Low-latency networking and data movement solutions |
| 5 | Research | Research institutes and labs are central to conference participation | Scientific computing infrastructure and collaboration outreach |
| 6 | Higher Education | Universities are highly relevant attendee and buyer-side institutions | Campus cluster upgrades, research support environments |
| 7 | Government Administration | Public laboratories and government-backed research bodies may participate | Public-sector compute programs and research modernization |
| 8 | Semiconductors | Semiconductor design and verification workloads are HPC-intensive | EDA, design simulation, large-scale compute demand |
| 9 | Telecommunications | Advanced modeling, network optimization, and AI infrastructure needs align well | Carrier and network analytics compute environments |
| 10 | Mechanical or Industrial Engineering | Simulation-driven engineering organizations use HPC heavily | CAE, FEA, CFD, digital engineering |
| 11 | Aviation & Aerospace | Modeling and simulation workloads are HPC-intensive | R&D simulation and advanced design compute |
| 12 | Biotechnology | Genomics and computational biology are major HPC use cases | Bioinformatics platforms and compute-intensive pipelines |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | No attendance number visible in the provided official website text | No reliable estimate included to avoid unsupported claims. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Provided official website text does not confirm an exhibitor roster or count | Conference appears more academic than trade-floor oriented. |
| Buyer count | Not publicly confirmed | Unconfirmed | No official buyer program referenced in provided source text | Likely technical influencer audience rather than a formal hosted-buyer structure. |
| Speaker count | Not publicly confirmed | Unconfirmed | Keynote and invited speaker pages are present, but no totals were supplied | Speaker organizations may later provide high-quality lead intelligence. |
| Sponsor count | Not publicly confirmed | Unconfirmed | No sponsor list visible in provided source text | Potentially available through full website review closer to event date. |
| Historical attendance | Not publicly confirmed in supplied source set | Historical / prior-year evidence unavailable | History pages exist for prior editions | Prior-year attendance should be verified directly from those archived pages before use in sales materials. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| High-performance computing infrastructure | Higher throughput, scalability, compute density | Architecture consultations, benchmark-based outreach, modernization assessments | Servers, accelerators, storage, cluster systems |
| Cluster technologies | Improved orchestration, interconnect performance, node management | Technical demos, migration planning, management stack comparison | Cluster middleware, schedulers, networking, provisioning software |
| AI and accelerated computing | GPU scaling, training efficiency, hybrid compute models | Target AI infrastructure leads and applied research teams | GPU clusters, model training infrastructure, performance tuning services |
| Scientific and engineering simulation | Faster modeling, larger datasets, improved solver performance | Engage R&D and engineering computing teams | Simulation platforms, optimized compute environments, technical support |
| Data-intensive research workflows | Scalable storage, high-speed processing, reproducibility | Position against data bottlenecks and workflow complexity | Parallel storage, data pipelines, analytics frameworks |
| Academic and institutional collaboration | Joint research, grant support, technical partnerships | Relationship-building with committees, speakers, and university labs | Sponsored research, pilot systems, academic licensing |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong fit for specialized compute, research IT, cloud performance, data infrastructure, and engineering software suppliers. |
| Decision-maker availability | Medium | Likely mix of senior technical influencers and research leaders; pure procurement titles may be less concentrated than at trade-buying expos. |
| Data collection potential | Medium | Good potential if speaker, committee, paper author, and schedule data are harvested; current public organization-level verification is limited. |
| Apollo targeting potential | High | The event maps well to clear technical titles and industry filters in Apollo.io. |
| Geographic targeting potential | High | China and broader Asia-based technical institutions can be prioritized, with international research organizations as secondary targets. |
| Best outreach approach | High | Use technical value messaging, benchmark outcomes, research collaboration language, and workload-specific ROI. |
| Overall lead quality | High | Best for niche, high-value B2B solutions rather than broad mass-market selling. |
| Best use case | High | Account-based outreach to universities, labs, advanced engineering teams, and AI/HPC infrastructure owners. |
| Limitations / risks | Medium | Limited current-year public participant verification in the supplied source set reduces precision for named attendee list sales without deeper research. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Computer Hardware; Computer Networking; Research; Higher Education; Government Administration; Semiconductors; Telecommunications; Mechanical or Industrial Engineering; Aviation & Aerospace; Biotechnology | Targets the most likely HPC-adjacent adopter groups |
| Departments | Information Technology; Engineering; Research; Operations; Procurement | Captures both technical and buying-side influence |
| Seniority | C-Level; VP; Director; Head; Manager; Senior | Prioritizes strategic owners and implementers |
| Job titles | Chief Information Officer; Chief Technology Officer; IT Director; Director of Research Computing; HPC Architect; HPC Engineer; Infrastructure Director; Engineering Manager; Data Center Director; Research Director; Lab Director; Procurement Manager | Improves precision around HPC ownership and influence |
| Geography | China first; then East Asia; then global research-intensive markets | Aligns with likely conference participation footprint |
| Employee size | 201-500; 501-1,000; 1,001-5,000; 5,001-10,000; 10,001+ | Captures institutions and enterprises with likely budget for advanced computing |
| Keywords | high performance computing, HPC, cluster, supercomputing, parallel computing, GPU, accelerator, scientific computing, research computing, simulation, data center, AI infrastructure | Finds specialized compute organizations and contacts |
| Technologies, if relevant | GPU infrastructure, cloud compute, high-speed networking, parallel storage, Kubernetes, Slurm | Useful for technical stack targeting where available |
| Revenue range, if relevant | Mid-market to enterprise; institutional buyers with significant R&D or infrastructure budgets | Supports prioritization of accounts capable of HPC investment |
| Company type | Public companies, universities, research institutes, government bodies, large private technology firms | Matches the likely mix of event-relevant institutions |
Suggested Apollo Search Logic: ("high performance computing" OR HPC OR supercomputing OR cluster OR "parallel computing" OR "research computing" OR "scientific computing" OR GPU OR "AI infrastructure") AND (CIO OR CTO OR "IT Director" OR "Research Computing" OR Architect OR "Engineering Manager" OR "Lab Director" OR "Research Director").
Client Fit Review Required
Please share the client website or product/service details. I will review the client offering and identify the highest-fit buyer companies, Apollo industries, seniority levels, departments, and job titles from this event.
Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| HPCCT 2026 Official Website | Official event website | Confirmed event branding as “HPCCT 2026 @ Chongqing,” presence of registration, speakers, venue, schedule, visa, and history sections | High |
| User-supplied event details | Provided event input | Confirmed city, country, start date, and end date used in this report where not contradicted by the official website text | Medium to High |
| Official website text excerpt supplied in prompt | Primary-source content extract | Used to avoid unsupported claims where organizer name, venue name, attendance, sponsor list, and participant roster were not visible | High |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 the 10th High Performance Computing and Cluster Technologies Conference (HPCCT 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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