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NERSC

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uuid000i4iq

Namestring
NERSC
Legal namestring
National Energy Research Scientific Computing Center
Websiteurl
nersc.gov
Company typeenum
Private
Founded yearint
1974
Descriptiontext

NERSC (National Energy Research Scientific Computing Center) is the primary scientific computing facility for the U.S. Department of Energy Office of Science, operated as a division of Lawrence Berkeley National Laboratory in Berkeley, California. Founded in 1974 and celebrating its 50th anniversary in 2024, NERSC provides high-performance computing resources to more than 11,000 scientists at over 926 institutions across all six DOE Office of Science program offices, supporting research in climate, fusion energy, materials science, particle physics, chemistry, and computational biology.

The facility's core technical portfolio centers on flagship supercomputers — currently Perlmutter (deployed 2021, hybrid CPU/GPU system with NVIDIA A100 GPUs and a 35-petabyte all-flash Lustre filesystem at 5+ TB/s throughput) and the upcoming Doudna (NERSC-10, scheduled late 2026, built on Dell Integrated Rack Scalable Systems and the NVIDIA Vera-Rubin platform, targeting at least 10x Perlmutter performance). The Cech Early Access System was delivered in early 2026 as a Doudna pilot. Complementary offerings include the QIS@Perlmutter and QCAN quantum computing programs (with IBM Quantum and QuEra Computing), the Spin container platform, the Superfacility API for integrated research infrastructure, petabyte-scale storage systems, and in-house AI/ML foundation models (CosmoGAN, CaloGAN, OmniLearned, Zatom-1, MatterChat).

NERSC does not generate commercial revenue. Resources are allocated through the DOE Energy Research Computing Allocation Process (ERCAP), a competitive peer-reviewed proposal system, with a Director's Reserve for startup, educational, and urgent projects. Funding flows from DOE Office of Science federal appropriations via Lawrence Berkeley National Laboratory (managed by the University of California). NERSC is not a venture-backed or publicly traded entity; it operates as a government research facility whose financial model is appropriations-based rather than market-based.

Short descriptiontext

NERSC is the U.S. Department of Energy Office of Science's primary scientific computing facility, operating flagship supercomputers (Perlmutter, upcoming Doudna) plus quantum, AI/ML, and storage services for over 11,000 scientists at 926 institutions via competitively allocated DOE funding.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersBerkeley, United States
HQ citystring
Berkeley
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
scientific supercomputing, high performance computing, quantum computing access, research data infrastructure, computational science services
Product category
Scientific Supercomputing Services
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1DOE Office of Science Funding
TypeManaged Services
Description

NERSC operates as a division of Lawrence Berkeley National Laboratory, funded primarily by the U.S. Department of Energy Office of Science. The center does not generate commercial revenue but provides HPC services as a national user facility to support DOE mission science.

nersc.gov
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels3 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Infrastructure, Personnel, Operations, Supply Chain
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 of 3 records shown
1Perlmutter System
Description

NERSC's flagship hybrid CPU/GPU supercomputer installed in 2021, named after Nobel Prize-winning astrophysicist Saul Perlmutter

nersc.gov
+2 more records
Core offering1 text field

NERSC provides high-performance computing, data storage, and emerging technology access (quantum and AI) as a DOE national user facility. Its portfolio centers on flagship supercomputers such as Perlmutter (with Cech and Doudna rolling out in 2026), complemented by quantum computing programs, container-based Spin services, JupyterHub, and integrated research infrastructure APIs. All offerings are delivered through competitive allocation to support scientific research aligned with the DOE Office of Science mission.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Over 2,000 peer-reviewed scientific publications annually using NERSC resources
+2 more records
Product overview1 text field

NERSC is the mission scientific computing facility for the U.S. Department of Energy Office of Science, operated by Lawrence Berkeley National Laboratory. The center provides a portfolio of high performance computing products and services centered on flagship supercomputers (currently Perlmutter, with Doudna arriving late 2026) and complementary programs including quantum computing access (QIS@Perlmutter, QCAN), container-based services (Spin), data infrastructure, AI/ML services, and integrated research infrastructure. These offerings serve 11,000+ scientists across DOE's six program offices in climate, fusion energy, materials sciences, physics, chemistry, and computational biology.

Product and service10 records
1Perlmutter System
CategorySupercomputer
2Cech Early Access System
CategorySupercomputer
3Doudna Supercomputer
CategorySupercomputer
4QIS@Perlmutter Program
CategoryQuantum Computing Program
5Spin Container Platform
CategoryContainer Platform
6Storage Systems
CategoryData Infrastructure
7AI/ML Services
CategoryAI/ML Service
8Integrated Research Infrastructure (Superfacility)
CategoryIntegrated Research Service
9JupyterHub Service
CategoryInteractive Computing
10NERSC Science Acceleration Program (NESAP)
CategoryWorkforce Development Program
Scale indicator7 records

Each record includes

Type, Value, Description, Source

Partnership7 partners
Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-01-01
Description

Primary system vendor and integration partner for NERSC-10 (Doudna) supercomputer. Dell designed the integrated rack scalable systems and PowerEdge servers, including the IR7000 direct liquid-cooled rack technology. Collaborating on software stack development, monitoring, telemetry, and alerting infrastructure for Doudna deployment.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-01-01
Description

GPU and AI infrastructure provider for NERSC systems. Supplies NVIDIA Grace CPUs, Blackwell GPUs, and Quantum-X800 InfiniBand networking. NVIDIA AI infrastructure powers both the Cech early access system and the upcoming Doudna system featuring Vera-Rubin architecture.

Strategic tierCoreTypeTechnology or IntegrationAnnounced on2026-01-01
Description

Provides extreme-scale storage and data services for NERSC-10. VAST AI OS delivers both high-performance scratch and quality-of-service data services, accommodating distinct I/O demands of traditional modeling and simulation alongside AI-intensive workflows on the Cech and Doudna systems.

Strategic tierSupportingTypeTechnology or IntegrationAnnounced on2026-01-01
Description

Provides the V3.5 coolant distribution unit for Cech early access system, representing the first U.S. deployment of this technology. Supports NERSC's energy-efficient data center operations.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Through NERSC's IBM Quantum Innovation Center, approved users may access IBM quantum computers over the cloud for research. IBM's transmon superconducting qubit technology and Qiskit quantum software provide next-generation quantum computing capabilities for qualifying NERSC research projects.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Partnership provides access to QuEra's analog and digital neutral-atom quantum systems (Aquila 256-qubit quantum simulator and Gemini systems) for competitive research proposals. NERSC and QuEra staff engage deeply with researchers including biweekly meetings. CUDA-Q integration enables hybrid quantum-HPC applications.

7Energy Sciences Network (ESnet)
Strategic tierCoreTypeTechnology or Integration
Description

DOE national user facility providing dedicated science network. ESnet connects NERSC to external resources and experimental facilities, enabling seamless data movement essential for integrated research workflows.

nersc.gov
Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Market position
Competitive moat6 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers7 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment2 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration9 records

Each record includes

Title, Type, Description, Source

AI capability9 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles9 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
Compliance1 record

Each record includes

Name, Class, Description

Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

NERSC

Scientific Supercomputing Servicesnersc.gov

NERSC is the U.S. Department of Energy Office of Science's primary scientific computing facility, operating flagship supercomputers (Perlmutter, upcoming Doudna) plus quantum, AI/ML, and storage services for over 11,000 scientists at 926 institutions via competitively allocated DOE funding.

What NERSC does

NERSC (National Energy Research Scientific Computing Center) is the primary scientific computing facility for the U.S. Department of Energy Office of Science, operated as a division of Lawrence Berkeley National Laboratory in Berkeley, California. Founded in 1974 and celebrating its 50th anniversary in 2024, NERSC provides high-performance computing resources to more than 11,000 scientists at over 926 institutions across all six DOE Office of Science program offices, supporting research in climate, fusion energy, materials science, particle physics, chemistry, and computational biology.

The facility's core technical portfolio centers on flagship supercomputers — currently Perlmutter (deployed 2021, hybrid CPU/GPU system with NVIDIA A100 GPUs and a 35-petabyte all-flash Lustre filesystem at 5+ TB/s throughput) and the upcoming Doudna (NERSC-10, scheduled late 2026, built on Dell Integrated Rack Scalable Systems and the NVIDIA Vera-Rubin platform, targeting at least 10x Perlmutter performance). The Cech Early Access System was delivered in early 2026 as a Doudna pilot. Complementary offerings include the QIS@Perlmutter and QCAN quantum computing programs (with IBM Quantum and QuEra Computing), the Spin container platform, the Superfacility API for integrated research infrastructure, petabyte-scale storage systems, and in-house AI/ML foundation models (CosmoGAN, CaloGAN, OmniLearned, Zatom-1, MatterChat).

NERSC does not generate commercial revenue. Resources are allocated through the DOE Energy Research Computing Allocation Process (ERCAP), a competitive peer-reviewed proposal system, with a Director's Reserve for startup, educational, and urgent projects. Funding flows from DOE Office of Science federal appropriations via Lawrence Berkeley National Laboratory (managed by the University of California). NERSC is not a venture-backed or publicly traded entity; it operates as a government research facility whose financial model is appropriations-based rather than market-based.

NERSC firmographics

Firmographics
Name
NERSC
Legal name
National Energy Research Scientific Computing Center
Website
https://nersc.gov
Company type
Private
Founded year
1974
Operating status
Operating
Headcount range
101–250 employees
Short description
NERSC is the U.S. Department of Energy Office of Science's primary scientific computing facility, operating flagship supercomputers (Perlmutter, upcoming Doudna) plus quantum, AI/ML, and storage services for over 11,000 scientists at 926 institutions via competitively allocated DOE funding.
Ownership category
akta.pro rank

Where NERSC is headquartered

Location

Headquarters

HQ city
Berkeley
HQ country
United States
HQ region
North America

Offices1 record

Markets served

NERSC business model

Business model
GTM type
B2B
Offering type
Services
Cost components
Technology or R&D, Infrastructure, Personnel, Operations, Supply Chain

Revenue model

  1. DOE Office of Science Funding: NERSC operates as a division of Lawrence Berkeley National Laboratory, funded primarily by the U.S. Department of Energy Office of Science. The center does not generate commercial revenue but provides HPC services as a national user facility to support DOE mission science.

Go-to-market motion1 record

Distribution channels3 records

Marketing channels7 records

NERSC product offering

Product offering

Core offering

NERSC provides high-performance computing, data storage, and emerging technology access (quantum and AI) as a DOE national user facility. Its portfolio centers on flagship supercomputers such as Perlmutter (with Cech and Doudna rolling out in 2026), complemented by quantum computing programs, container-based Spin services, JupyterHub, and integrated research infrastructure APIs. All offerings are delivered through competitive allocation to support scientific research aligned with the DOE Office of Science mission.

Product overview

NERSC is the mission scientific computing facility for the U.S. Department of Energy Office of Science, operated by Lawrence Berkeley National Laboratory. The center provides a portfolio of high performance computing products and services centered on flagship supercomputers (currently Perlmutter, with Doudna arriving late 2026) and complementary programs including quantum computing access (QIS@Perlmutter, QCAN), container-based services (Spin), data infrastructure, AI/ML services, and integrated research infrastructure. These offerings serve 11,000+ scientists across DOE's six program offices in climate, fusion energy, materials sciences, physics, chemistry, and computational biology.

Differentiator

Problem solved

Functional benefit

Brands

  • Perlmutter System: NERSC's flagship hybrid CPU/GPU supercomputer installed in 2021, named after Nobel Prize-winning astrophysicist Saul Perlmutter
  • Doudna System
  • Cech System

Products and services

  • Perlmutter System
  • Cech Early Access System
  • Doudna Supercomputer
  • QIS@Perlmutter Program
  • Spin Container Platform
  • Storage Systems
  • AI/ML Services
  • Integrated Research Infrastructure (Superfacility)
  • JupyterHub Service
  • NERSC Science Acceleration Program (NESAP)

Quantifiable outcome

  • Over 2,000 peer-reviewed scientific publications annually using NERSC resources
  • +2 more outcomes

Companies that use NERSC

Customer profile

Named customers7 records

Segments2 records

Ideal customer profiles3 records

NERSC technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability9 records

Feature6 records

NERSC partnerships and signals

Strategic signal

Partnerships

Seven partnerships are on record, tiered core and supporting.

  • Dell TechnologiescoreTechnology or Integration · 1 January 2026Primary system vendor and integration partner for NERSC-10 (Doudna) supercomputer. Dell designed the integrated rack scalable systems and PowerEdge servers, including the IR7000 direct liquid-cooled rack technology. Collaborating on software stack development, monitoring, telemetry, and alerting infrastructure for Doudna deployment.
  • NVIDIAcoreTechnology or Integration · 1 January 2026GPU and AI infrastructure provider for NERSC systems. Supplies NVIDIA Grace CPUs, Blackwell GPUs, and Quantum-X800 InfiniBand networking. NVIDIA AI infrastructure powers both the Cech early access system and the upcoming Doudna system featuring Vera-Rubin architecture.
  • VAST DatacoreTechnology or Integration · 1 January 2026Provides extreme-scale storage and data services for NERSC-10. VAST AI OS delivers both high-performance scratch and quality-of-service data services, accommodating distinct I/O demands of traditional modeling and simulation alongside AI-intensive workflows on the Cech and Doudna systems.
  • RittalsupportingTechnology or Integration · 1 January 2026Provides the V3.5 coolant distribution unit for Cech early access system, representing the first U.S. deployment of this technology. Supports NERSC's energy-efficient data center operations.
  • IBM Quantum Innovation CentercoreStrategic or Co-development Partner · 1 January 2023Through NERSC's IBM Quantum Innovation Center, approved users may access IBM quantum computers over the cloud for research. IBM's transmon superconducting qubit technology and Qiskit quantum software provide next-generation quantum computing capabilities for qualifying NERSC research projects.
  • QuEra ComputingcoreStrategic or Co-development Partner · 1 January 2023Partnership provides access to QuEra's analog and digital neutral-atom quantum systems (Aquila 256-qubit quantum simulator and Gemini systems) for competitive research proposals. NERSC and QuEra staff engage deeply with researchers including biweekly meetings. CUDA-Q integration enables hybrid quantum-HPC applications.
  • Energy Sciences Network (ESnet)coreTechnology or IntegrationDOE national user facility providing dedicated science network. ESnet connects NERSC to external resources and experimental facilities, enabling seamless data movement essential for integrated research workflows.

Scale indicators7 records

Recent moves7 records

Expansion highlights6 records

NERSC competitors and assessment

Company assessment

Market position

Competitive moat6 records

Key risks5 records

Key highlights6 records

Customer concentration

NERSC social profiles

Digital presence

NERSC compliance and trust

Trust signal

Compliance1 record

NERSC financial estimates

Financial estimate

Revenue estimate

Valuation estimate

NERSC leadership team

Management profile

Number of profiles

Profiles9 records

NERSC funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

NERSC M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about NERSC

What does NERSC do?

NERSC provides high-performance computing, data storage, and emerging technology access (quantum and AI) as a DOE national user facility. Its portfolio centers on flagship supercomputers such as Perlmutter (with Cech and Doudna rolling out in 2026), complemented by quantum computing programs, container-based Spin services, JupyterHub, and integrated research infrastructure APIs. All offerings are delivered through competitive allocation to support scientific research aligned with the DOE Office of Science mission.

Is NERSC a public or private company?

NERSC is a private company. It is classified as state government owned and is currently operating.

When was NERSC founded?

NERSC was founded in 1974. It employs 101 to 250 people.

Where is NERSC based?

NERSC is headquartered in Berkeley, United States, in the North America region.

How does NERSC make money?

One revenue line is on record: DOE Office of Science Funding.

Does NERSC have an API?

Yes. Superfacility API enables integrated and automated interactions with NERSC systems for experimental and observational facilities. Spin platform provides container-based services with API endpoints for deploying science gateways, workflow managers, databases, and network services. JupyterHub service available for interactive computing. QIS@Perlmutter provides cloud access to IBM quantum computers via Qiskit. Developer documentation is at docs.nersc.gov.

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Live signals
HpcwireSince 1987 – Covering the Fastest Computers in the World and the People Who Run ThemResearchers at Lawrence Berkeley National Laboratory have developed MOSAIC, a reconfigurable microscope that consolidates over ten imaging techniques into one instrument to track biological processes across multiple scales. The system generates up to four terabytes of data per hour, supported by computational tools and the Perlmutter supercomputer at NERSC to manage the massive datasets. This technology enables high-resolution imaging of living cells and tissues, facilitating advancements in biological AI models and potentially leading to self-driving laboratories.Interesting EngineeringNew US design uses heat for computing with superior energy efficiencyResearchers at Lawrence Berkeley National Laboratory have developed a thermodynamic computing framework that harnesses thermal noise as a computational power source rather than suppressing it, enabling complex nonlinear machine learning tasks at room temperature. The team used 96 GPUs on the Perlmutter supercomputer at NERSC to run evolutionary simulations evaluating over a trillion noisy trajectories, training a stochastic neural network via genetic algorithm to perform inference at a fraction of traditional power consumption. The Berkeley Lab team is now seeking experimental partners to translate these digital designs into physical hardware, with potential applications including dramatically reducing the energy cost of AI inference tasks.HpcwireSince 1987 – Covering the Fastest Computers in the World and the People Who Run ThemThe National Energy Research Scientific Computing Center (NERSC) has issued a 2026 call for proposals under its Quantum Computing Access at NERSC (QCAN) program to enable research using IBM’s superconducting quantum processors. Selected teams will receive access to IBM Quantum Innovation Center resources and technical support for up to six months to conduct projects aligned with the Department of Energy's mission. Eligible applicants must sign institutional agreements with both NERSC and IBM and comply with U.S. export control regulations.SiliconANGLEScientific discovery accelerates with AI and advanced analytics - SiliconANGLENERSC at Lawrence Berkeley National Laboratory is partnering with Dell Technologies to deploy the Doudna supercomputing system, planned for the end of 2026, which will deliver a tenfold increase in performance for complex scientific workflows. The Doudna system is built on Nvidia's Vera Rubin platform with Dell's IR7000 rack, incorporating AI and machine analytics to enable real-time data processing for experiments ranging from telescopes to scientific instruments. The collaboration represents a broader industry shift where AI and data analysis are lowering barriers to scientific research and accelerating the pace of discovery.ThequantuminsiderNERSC Study Sees Quantum Computing Nearing Practical Use For U.S. Science Within a DecadeA NERSC study reports that advancements in quantum computing could enable practical use for DOE scientific workloads within ten years, with hardware capability and algorithm efficiency improving significantly. The analysis indicates that quantum systems may soon address high-complexity problems in materials science, quantum chemistry, and high-energy physics, where classical methods struggle. The study emphasizes the importance of execution speed, error correction, and cross-sector collaboration in realizing quantum computing's potential for scientific discovery.SpringerLinkDesign and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis - Journal of Big DataResearchers developed a regression-based scheme to predict I/O performance on high-performance computing systems by integrating logs from Slurm, Darshan, and Lustre monitoring tools. The model was evaluated using real logs from the Cori supercomputer at NERSC, achieving up to 99% accuracy for read performance and 90% for write performance.PageScaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal ModelsResearchers developed NeuroGPU-EA, a parallel evolutionary algorithm that leverages CPUs and GPUs to construct biophysically realistic neuronal models more efficiently than traditional CPU-based methods. Benchmarked on the NERSC Cori supercomputer, the new algorithm demonstrated a 10-fold performance improvement over standard CPU implementations while showing logarithmic scaling costs for increased stimuli.GlobeNewswireCray and NERSC Partnership to Drive Advanced AICray Inc. joined the Big Data Center at NERSC, a DOE initiative, to advance AI and deep learning. The collaboration focuses on scalable training algorithms, automated hyper-parameter tuning, and scientific applications like genomics and climate change. Cray's AI director called it a step forward for deep learning in science and enterprise.