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Overview

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI—the next era of computing—with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.

Products

  • vGPU Software
    • Quadro Virtual Data Center Workstation (Quadro vDWS) delivers the most powerful virtual workstation from the data center or cloud to any device, anywhere.
    • NVIDIA GRID™ Virtual PC (vPC) and Virtual Apps (vApps) are the virtualization solutions that deliver a user experience that’s nearly indistinguishable from a native PC. With server-side graphics and comprehensive management and monitoring capabilities, GRID future-proofs your VDI environment.
  • NVIDIA DGX Systems
    • DGX Station is the only personal supercomputer for leading-edge AI development. Designed for your office environment, it’s built on the same software stack powering all DGX systems, for easy experimentation, from your desk to the data center.
    • DGX-1 The essential instrument for AI research, designed to accelerate your data center and streamline your deep learning workflow. Experiment faster, train larger models, and get insights starting on day one.
    • DGX-2 Break through the barriers to AI speed and scale with NVIDIA DGX-2, the first 2 petaFLOPS system that engages 16 fully interconnected GPUs for 10X the deep learning performance.
  • NVIDIA Tesla GPUs

    Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Tesla® GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning.

Count on Carahsoft

We are dedicated to battling COVID-19 on every front, from predicting and preventing, detection and diagnosis, and treatment to patient care. We seek to support researchers, the healthcare system, federal governments and ministries of health through our tools and educational resources. 

Tools

  • Parabricks

    The NVIDIA Parabricks Genomics Analysis Toolkit breaks down time and cost barriers, providing GPU-accelerated genomic analysis. Data that once took days to analyze can now be done in under an hour. Choose to run specific accelerated tools or full commonly used pipelines with outputs specific to your requirements.

    NVIDIA Parabricks provides GPU-accelerated GATK, which performs secondary analysis of next-generation sequencing DNA data in under an hour. All researchers doing work in this field can request access to Parabricks free for 90 days to develop genomic insights faster.

    Additional Parabricks Resources

  • Plotly

    To better analyze the spread of the disease and hospital bed resources across the U.S., the NVIDIA RAPIDS team has GPU-accelerated Plotly’s Dash data visualization tool to create a dashboard with overlays of the following datasets:

    • Census
    • Hospital Beds
    • Davily COVID test results

    View the Dashboard Here

  • NGC

    NGC is a hub of HPC and AI containerized software with tools to support coronavirus research across healthcare and scientific domains.

    View Here

  • Folding@Home

    Folding@Home is a crowdsourced computing project for simulating protein dynamics, whose mission focuses on providing computing resources to support disease research. You can help researchers find potential cures by donating your unused computer power using the folding@home software.

    Learn More Here

Education/Expertise

  • HPC Consortium

    Teaming up with leaders from the U.S. government, industry and academia, NVIDIA aims to accelerate research to detect, diagnose, and treat coronavirus. Researchers are invited to submit research proposals for evaluation and assignment to computing resources.

    Learn More Here

  • Compute4covid

    This technical webinar series will inform coronavirus researchers how to gain access to and use AI and HPC tools for genomics, computational chemistry, medical imaging, and NLP.

    Register Here

  • AI Nations

    Learn real world examples of AI being applied to solve this pandemic and actions federal agencies and ministries of health can take to help mitigate the virus.

    Watch the Webinar

    Download the Solution Brief

DGX A100

       

 

NVIDIA DGX™ A100 is the universal system for all AI infrastructure and workloads, built on the revolutionary NVIDIA A100 Tensor Core GPU and backed by over a decade of AI innovation at NVIDIA. DGX A100 is the single platform that brings together training, inference, and analytics into a consolidated system with optimized software that is the foundational building block for AI infrastructure. Backed by AI-fluent expertise that comes with every DGX system, NVIDIA DGX A100 speeds the end-to-end lifecycle of enterprise AI across planning, deployment and on-going optimization.
 

Introducing DGX A100 Video

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I am AI GTC 2020 Video

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NVIDIA: The AI Podcast

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Resources:

Contracts

GSA Schedule Contracts

GSA Schedule 70

GSA Schedule 70 GSA Schedule No. GS-35F-0119Y Term: December 20, 2011- December 19, 2021


SEWP Contracts

SEWP V

Contract Number: Group A Small: NNG15SC03B Group D Other Than Small: NNG15SC27B Term: May 1, 2015 - May 1, 2025


State & Local Contracts

City of Seattle Contract

Contract #0000003265 Term: December 19, 2021

CMAS

Contract # CMAS 3-12-70-2247E Term: through March 31, 2022

State of New Mexico Contract

Contract Number: 80-000-18-00002 Contract Period: August 1, 2017 – August 1, 2021


Events

Upcoming Events

July 23, 2020 at 2:30 PM ET
July 29, 2020 at 1:30 PM ET

Archived Events

News

Latest News

Carahsoft Technology Corp., The Trusted Government IT Solutions Provider™, today announced that it plans to make NVIDIA® programmable graphics processing units (GPUs) and related technologies ...
READ MORE >

Resources

Featured

Every business needs to transform using artificial intelligence (AI), not only to survive, but to thrive in challenging times. However, the enterprise requires a platform for AI infrastructure that improves upon traditional approaches, which historically involved slow compute architectures that w...

The NVIDIA DGX SuperPOD™ with NVIDIA DGX™ A100 systems is the next generation artificial intelligence (AI) supercomputing infrastructure, providing the computational power necessary to training today's state-of-the-art deep learning (DL) models and to fuel innovation well into the future. The DG...

Case Study

Oregon State University has more than 30,000 students in its world renowned distance learning program. Called Ecampus, the distance program is ranked in the top 10 nationwide and provides more than 900 courses and 40 online undergraduate and graduate degrees. Key to the University’s success on and...

UMass Lowell is a national research university with more than 17,800 bachelor’s, master’s, and doctoral degree students. Named the #10 Best Value College in America by Forbes, the campus is well on track to reach 20,000 students by 2020. To keep up with the explosive growth, the University r...

Founded in 1871 as a land-grant institution, the University of Arkansas is the flagship of the University of Arkansas System. The university has 10 colleges and schools offering more than 210 programs for its 27,000 students, who represent all 50 states and more than 120 countries. The Universit...

Datasheet

Power the most compute-intensive workloads with virtual GPUs.

E-Book

As the public sector is called upon to address society’s most pressing challenges, teleworking has become a crucial way for employees and contractors to maintain continuity and responsiveness during national emergencies.

The adoption of artificial intelligence (AI) across every industry has outpaced predictions for growth. In fact, in a 2019 survey of CIOs, Gartner revealed that enterprise use of AI has grown 270 percent over the past four years.

The Top Four Reasons Windows 10 VDI Needs GPUs

Guide

The NVIDIA Deep Learning Institute (DLI) trains developers, data scientists, and researchers on how to use artificial intelligence and accelerated computing to solve real-world problems across a wide range of domains. In deep learning courses, you’ll learn how to train, optimize, and deploy neural...