What Companies Are Attending SC26 Supercomputing 2026?

KONST Technology provides AI and high-performance computing infrastructure, including GPU bare metal, AI cloud platforms, and data center deployments. KONST Technology helps enterprises and research teams scale compute environments for AI training, inference, and HPC workloads.

Comino develops high-density liquid-cooled servers and workstations for AI and HPC. Comino combines multi-GPU computing with advanced cooling for organizations running demanding compute workloads.

Puget Systems builds custom workstations and servers for AI, scientific computing, engineering, and other compute-intensive workloads. Puget Systems focuses on matching hardware configurations to specific professional applications.

AMAX Engineering designs AI factories, GPU servers, HPC clusters, and data center infrastructure. AMAX builds integrated systems for organizations deploying large-scale AI training, inference, and scientific computing workloads.

Hammerspace provides a data orchestration platform for AI and HPC environments. Hammerspace helps organizations make distributed data accessible across storage systems, data centers, and cloud infrastructure.

Cornelis Networks develops high-performance interconnect technology for HPC and AI systems. Cornelis Networks focuses on low-latency, high-bandwidth networking for large-scale compute clusters.

Rigetti Computing develops superconducting quantum processors and quantum computing systems. Rigetti Computing combines quantum hardware with cloud access and hybrid computing tools for research and commercial workloads.

Hewlett Packard Enterprise provides supercomputing, AI, storage, networking, and data center infrastructure. HPE develops large-scale systems used by research institutions, enterprises, and national laboratories for advanced computing workloads.

Penguin Solutions designs and integrates HPC and AI infrastructure. Penguin Solutions helps organizations deploy clusters, accelerated computing systems, software environments, and large-scale compute platforms.

NVIDIA develops GPUs, networking technology, AI platforms, and accelerated computing systems. NVIDIA technology powers AI training, scientific computing, simulation, digital twins, and large-scale HPC environments.

AMD develops CPUs, GPUs, adaptive computing products, and data center accelerators. AMD EPYC processors and Instinct accelerators are used across supercomputing, AI, cloud, and enterprise infrastructure.

Intel develops processors, accelerators, networking products, and software used across HPC and data center environments. Intel technology supports scientific computing, AI, simulation, analytics, and large-scale compute infrastructure.

Dell Technologies provides servers, storage, networking, and integrated infrastructure for AI and HPC environments. Dell Technologies supports accelerated computing, data-intensive applications, and enterprise AI.

Lenovo provides servers, supercomputing systems, storage, and infrastructure for AI and HPC. Lenovo also develops liquid-cooled computing systems for dense, high-performance environments.

Supermicro develops servers, GPU systems, rack-scale infrastructure, and liquid-cooling technology. Supermicro supports high-density AI, HPC, cloud, and data center deployments.

Kitware develops software for scientific computing, visualization, AI, and data analysis. Kitware is known for technologies including ParaView, VTK, and CMake used across HPC environments.

Jülich Supercomputing Centre operates large-scale supercomputing infrastructure and supports computational research across science and engineering. JSC works across exascale computing, AI, simulation, and advanced HPC research.

Submer develops liquid-cooling infrastructure for high-density data centers. Submer helps AI and HPC operators manage thermal loads using immersion and other advanced cooling technologies.

CoolIT Systems develops direct liquid-cooling systems for data centers, HPC clusters, and AI infrastructure. CoolIT technology removes heat directly from high-power processors and accelerators.

Motivair provides cooling systems for data centers and high-performance computing environments. Motivair develops coolant distribution units, chillers, and liquid-cooling infrastructure for high-density compute.

ZutaCore develops direct-to-chip liquid-cooling technology for servers and data centers. ZutaCore addresses the growing thermal requirements of GPUs and other high-density compute components.

Solidigm develops enterprise solid-state storage for data centers and high-performance workloads. Solidigm SSDs are used across AI data pipelines, analytics, cloud infrastructure, and large-scale storage environments.

Pliops develops data-processing technology for storage-intensive AI and database workloads. Pliops helps organizations improve infrastructure performance while reducing compute and storage overhead.

Atipa Technologies designs HPC clusters, servers, storage systems, and workstations. Atipa builds computing infrastructure for universities, research organizations, government agencies, and commercial users.

WEKA provides a high-performance data platform for AI and HPC workloads. WEKA helps organizations deliver data quickly to GPUs and compute clusters across on-premises and cloud environments.

Ecolab provides water, energy, and thermal-management technology for industrial and data center environments. Ecolab's data center work includes cooling and water-management infrastructure for high-density computing.

memQ develops quantum networking hardware, including quantum memory and network interface technology. memQ is building infrastructure designed to connect quantum systems into larger distributed computing environments.

Crosstown Fiber operates high-capacity fiber infrastructure in the Chicago region. Crosstown Fiber provides low-latency connectivity for data-intensive environments including HPC, research networks, and quantum communications.

Pasqal develops neutral-atom quantum computers and software for hybrid quantum-classical computing. Pasqal works on integrating quantum acceleration with conventional HPC workflows.

Quantinuum develops quantum computers, quantum software, cybersecurity technology, and scientific applications. Quantinuum combines quantum hardware with software designed for research and enterprise use cases.

Q-CTRL develops quantum infrastructure software focused on controlling, stabilizing, and improving quantum systems. Q-CTRL helps researchers and developers manage hardware errors and improve quantum performance.

Infleqtion develops quantum computing, quantum sensing, and precision technology based on neutral atoms. Infleqtion works across quantum hardware, software, timing, and advanced sensing applications.

D-Wave develops quantum computing systems and software focused on annealing and hybrid quantum applications. D-Wave technology is used for optimization, research, and complex computational problems.

Ionic Digital develops large-scale digital infrastructure and compute capacity. Ionic Digital operates data center assets designed for power-intensive computing workloads.

Crusoe builds cloud and data center infrastructure for AI workloads. Crusoe provides GPU compute environments designed for large-scale model training, inference, and accelerated computing.

VAST Data provides a data platform for AI and high-performance computing. VAST Data combines storage, database, and data-management capabilities to help organizations feed large datasets into accelerated computing infrastructure.

GigaIO develops composable infrastructure that connects CPUs, GPUs, storage, and other resources over high-performance fabrics. GigaIO helps organizations build flexible systems without tying every accelerator to a fixed server.

Liqid develops composable infrastructure for dynamically allocating GPUs, storage, and other PCIe resources. Liqid allows data center operators to reconfigure hardware around changing workloads.

Rescale provides cloud-based high-performance computing for engineering and scientific workloads. Rescale gives organizations access to HPC infrastructure, software, and workload orchestration across multiple cloud environments.

CoreWeave provides cloud infrastructure optimized for GPU-intensive workloads. CoreWeave supports AI training, inference, rendering, and other accelerated computing applications.

Lambda provides GPU cloud infrastructure, servers, and workstations for AI workloads. Lambda helps developers and organizations access accelerated computing for model training and inference.

CIQ develops enterprise Linux and HPC software around technologies including Rocky Linux and Apptainer. CIQ supports organizations running Linux-based computing environments at scale.

Pure Storage provides enterprise flash storage and data-management infrastructure. Pure Storage products support AI, analytics, HPC, cloud, and other high-throughput data workloads.

Aspen Systems designs custom HPC clusters, GPU systems, workstations, and storage platforms. Aspen Systems builds infrastructure for research, simulation, engineering, AI, and scientific computing.

Advanced HPC designs and deploys high-performance computing infrastructure. Advanced HPC works with government, research, education, and enterprise organizations on clusters, storage, networking, and accelerated computing.

IBM develops enterprise computing, AI, quantum computing, cloud, and infrastructure technology. IBM works across computing environments that increasingly connect conventional HPC resources with quantum systems.

Eviden develops supercomputing and advanced computing systems, including the BullSequana platform. Eviden serves research institutions, governments, and enterprises running large-scale simulation and AI workloads.

Giga Computing develops server and data center hardware for AI, HPC, cloud, and enterprise workloads. Giga Computing offers GPU-dense systems and rack-scale infrastructure for accelerated computing.

Inspur Information develops servers and data center systems for AI, HPC, cloud, and enterprise workloads. Inspur Information focuses on high-density compute infrastructure and accelerated server architectures.

E4 Computer Engineering designs HPC, AI, storage, and data center systems. E4 works with research and enterprise customers building advanced computing environments.

DDN provides high-performance storage and data-management technology for AI and HPC. DDN systems are designed to move large datasets across GPU clusters, supercomputers, and research infrastructure.

Whamcloud develops and supports Lustre, a parallel file system used in large-scale HPC environments. Whamcloud helps organizations deploy and optimize storage for supercomputing workloads.

Silicon Mechanics builds custom servers, HPC clusters, storage systems, and GPU infrastructure. Silicon Mechanics serves research, government, education, and enterprise computing environments.

Nor-Tech designs HPC clusters, AI systems, servers, and workstations. Nor-Tech builds custom computing infrastructure for scientific, engineering, research, and enterprise applications.

Exxact develops GPU workstations, servers, clusters, and AI infrastructure. Exxact systems are used for deep learning, scientific computing, simulation, visualization, and other compute-intensive workloads.

LiquidStack develops liquid-cooling systems for AI and high-density data centers. LiquidStack focuses on cooling infrastructure capable of supporting increasingly power-intensive compute hardware.

Green Revolution Cooling develops immersion-cooling technology for data centers. Green Revolution Cooling places servers in dielectric fluid to remove heat from high-density computing equipment.

Iceotope develops precision liquid-cooling technology for servers and edge infrastructure. Iceotope cools high-power computing equipment while reducing dependence on traditional air cooling.

Asetek develops liquid-cooling technology for computing environments. Asetek's thermal-management products address the heat generated by dense processors and accelerators.

Ranovus develops optical connectivity technology for data centers and accelerated computing systems. Ranovus focuses on high-bandwidth interconnects for moving data efficiently between compute resources.

IonQ develops trapped-ion quantum computers, networking technology, and quantum software. IonQ provides access to quantum systems through cloud platforms and works on connecting quantum computing with broader computing infrastructure.

MinIO provides object storage software for large-scale data environments. MinIO is used for AI data, analytics, cloud-native applications, and workloads requiring scalable storage.

Eliyan develops chiplet interconnect technology for high-performance processors and accelerators. Eliyan focuses on increasing bandwidth between compute components in advanced semiconductor packages.

Avicena develops optical interconnect technology for high-bandwidth chip-to-chip communication. Avicena targets AI and HPC systems where traditional electrical links face growing bandwidth and power constraints.

NeuReality develops AI inference infrastructure around dedicated system architecture. NeuReality focuses on improving the efficiency of deploying and scaling AI workloads in data centers.

Rivos develops RISC-V based processors for data center and accelerated computing workloads. Rivos is building high-performance compute platforms around an open instruction-set architecture.

Modular develops AI infrastructure software including the MAX platform and Mojo programming language. Modular aims to simplify how AI workloads run across different hardware architectures.

Kioxia develops NAND flash memory and solid-state storage products. Kioxia technology supports data centers, enterprise storage, AI infrastructure, and other data-intensive computing environments.

Snorkel AI provides software for developing and managing data used to train AI systems. Snorkel AI helps organizations create, label, curate, and improve datasets for machine-learning applications.

SiPearl develops energy-efficient processors for European supercomputing and AI systems. SiPearl is building processors designed for sovereign HPC and exascale computing environments.

2CRSi develops high-performance servers and data center infrastructure. 2CRSi builds systems for AI, HPC, cloud, storage, and other compute-intensive applications.

ASUS develops servers, GPU systems, workstations, and data center infrastructure alongside its broader computing portfolio. ASUS server platforms support AI, HPC, cloud, and enterprise workloads.

Amazon Web Services provides cloud infrastructure for HPC, AI, storage, networking, and large-scale data processing. AWS gives organizations access to CPUs, GPUs, accelerators, parallel file systems, and HPC orchestration services.

Broadcom develops networking, connectivity, semiconductor, and infrastructure software technologies. Broadcom products are used across data center switching, accelerators, storage, and high-performance computing infrastructure.

Ciena develops high-capacity optical networking technology. Ciena helps research networks, data centers, and service providers move large volumes of data across high-speed infrastructure.

Clarifai provides an AI development and inference platform. Clarifai helps organizations deploy computer vision, language models, and other AI workloads across cloud and infrastructure environments.

Cloudian provides scalable object storage for enterprise and data-intensive workloads. Cloudian supports AI data, backup, analytics, and large-scale unstructured datasets.

F5 provides application delivery, security, and networking technology. F5 helps organizations manage application traffic across data centers, cloud infrastructure, and distributed computing environments.

Fortinet develops network security and cybersecurity infrastructure. Fortinet technology protects data center, cloud, networking, and distributed computing environments.

GitLab provides a DevSecOps platform combining software development, CI/CD, security, and deployment workflows. GitLab is used by technical teams building software across cloud, AI, research, and HPC environments.

Globus provides research data-management services for transferring, sharing, and managing large datasets. Globus is widely used across universities, laboratories, and HPC facilities.

Google Cloud provides cloud computing, AI, storage, networking, and HPC infrastructure. Google Cloud supports large-scale scientific computing, simulation, analytics, and accelerated AI workloads.

Ingrasys designs server, storage, networking, and data center hardware. Ingrasys builds high-density systems for cloud, AI, HPC, and hyperscale infrastructure.

Ansys develops engineering simulation software for structures, fluids, electronics, semiconductors, and multiphysics applications. Ansys workloads frequently rely on HPC infrastructure for large and complex simulations.

Juniper Networks develops networking infrastructure for data centers, cloud providers, enterprises, and service providers. Juniper technology supports high-bandwidth connectivity across distributed computing environments.

Microsoft provides Azure cloud infrastructure, AI platforms, data services, and developer tools. Microsoft supports HPC and AI workloads through accelerated compute, networking, storage, and managed cloud services.

Oracle provides cloud infrastructure, databases, enterprise software, and HPC computing services. Oracle Cloud Infrastructure supports GPU clusters, scientific workloads, simulation, and large-scale AI applications.

Red Hat develops enterprise Linux, Kubernetes, automation, and hybrid-cloud software. Red Hat technology is widely used to manage software environments across HPC, AI, cloud, and data center systems.

Rubrik provides data security, backup, and recovery technology. Rubrik helps organizations protect data across cloud and enterprise infrastructure.

Run:ai provides GPU orchestration and scheduling technology for AI infrastructure. Run:ai helps organizations allocate accelerator resources across teams and workloads more efficiently.

Samsung develops memory, storage, and semiconductor technology used across data centers, AI infrastructure, and high-performance computing systems.

VDURA develops high-performance storage software for AI and HPC workloads. VDURA focuses on data-intensive environments requiring high throughput, resilience, and scalable capacity.

Vertiv provides power, cooling, racks, and infrastructure for data centers. Vertiv supports high-density AI environments requiring advanced thermal and power-management systems.

GKN Powder Metallurgy develops advanced materials and manufacturing technologies. GKN works across industries where simulation, digital engineering, and high-performance computing support product and manufacturing development.

Arcitecta develops data-management software for large-scale research and enterprise environments. Arcitecta helps organizations organize, move, protect, and access datasets across storage systems and locations.

LightSolver develops computing technology that uses optical systems to solve complex optimization problems. LightSolver explores alternatives to conventional digital computing for computationally intensive applications.

Arm develops processor architectures used across mobile, cloud, edge, and high-performance computing. Arm-based processors are increasingly used in energy-efficient data center and supercomputing systems.

SanDisk develops flash storage technologies for data centers, enterprise systems, and high-performance computing environments. SanDisk products support workloads requiring high-speed access to large amounts of data.

Danfoss develops thermal-management, cooling, and energy-efficiency technology. Danfoss solutions are increasingly relevant to data centers managing the power and thermal requirements of AI and HPC infrastructure.

Mitsubishi Heavy Industries develops industrial, energy, and thermal-management systems. Mitsubishi Heavy Industries works across cooling and infrastructure applications relevant to high-density data centers.

Hypertec provides servers, HPC systems, storage, and data center infrastructure. Hypertec designs computing environments for AI, research, cloud, and enterprise workloads.

5C Data Centers develops and operates data center infrastructure for high-density computing. 5C Data Centers supports organizations deploying AI, cloud, and other power-intensive workloads.

Celestica designs and manufactures compute, networking, storage, and hardware platforms. Celestica supports hyperscale, cloud, AI, and data center customers building high-performance infrastructure.

Fujitsu develops supercomputers, processors, software, and enterprise technology. Fujitsu has a long history in large-scale scientific computing and develops technology used across HPC and AI environments.

When and where is SC26 Supercomputing 2026?

SC26 takes place November 15–20, 2026 at McCormick Place in Chicago, Illinois. The SC26 exhibit floor runs November 17–19.

Who attends SC26 Supercomputing?

SC26 brings together HPC researchers, engineers, developers, system administrators, universities, national laboratories, government organizations, cloud providers, semiconductor companies, AI infrastructure companies, data center operators, and other advanced-computing organizations.

Which AI infrastructure and GPU companies are at SC26 2026?

AI infrastructure and accelerated-computing companies include NVIDIA, AMD, Intel, Hewlett Packard Enterprise, Dell Technologies, Lenovo, Supermicro, CoreWeave, Lambda, Crusoe, AMAX, Comino, KONST Technology, Penguin Solutions, and NeuReality.

Which HPC storage and data companies are at SC26 2026?

Storage and data infrastructure companies include DDN, WEKA, VAST Data, Pure Storage, Solidigm, VDURA, MinIO, Cloudian, Kioxia, Hammerspace, Arcitecta, and Pliops.

Which liquid-cooling companies are at SC26 2026?

Liquid-cooling and thermal-management companies include CoolIT Systems, Submer, LiquidStack, Green Revolution Cooling, Iceotope, ZutaCore, Motivair, Asetek, Ecolab, Danfoss, and Vertiv.

Which quantum computing companies are at SC26 2026?

Quantum computing and quantum networking companies include Rigetti Computing, Pasqal, Quantinuum, D-Wave, IonQ, Infleqtion, Q-CTRL, and memQ.

Which networking and interconnect companies are at SC26 2026?

Networking and interconnect companies include Cornelis Networks, Broadcom, Ciena, Juniper Networks, Crosstown Fiber, Ranovus, Avicena, GigaIO, and Eliyan.

Which cloud and HPC platform companies are at SC26 2026?

Cloud and HPC platform companies include Amazon Web Services, Microsoft, Google Cloud, Oracle, Rescale, CoreWeave, Lambda, Crusoe, and IBM.

What are the main technology trends at SC26 2026?

Major SC26 themes include accelerated computing, AI infrastructure, exascale systems, GPU clusters, liquid cooling, high-performance storage, high-speed networking, optical interconnects, quantum computing, composable infrastructure, cloud HPC, and increasingly dense data center infrastructure.