What NVXL is doing?
Deep learning, machine learning and transcoding are among the most computationally intensive applications facing technology today. The combination of large data sets, high-performance computational capabilities and evolving and improving algorithms have long presented technical challenges that have been difficult to overcome.

UNTIL NOW

NVXL is architecting a brand new technology, polymorphic acceleration, via an on-demand application platform leveraging industry-leading accelerators. This revolutionary compute acceleration platform enables the most demanding applications including deep learning, machine learning, transcoding and more.
Company Overview
Founded
2017
Privately held
Series A, Nov. 2017
$20 Million
Alibaba group, Lead investor
Company size
~50 employees
Headquarters
Fremont California

NVXL’s polymorphic acceleration technology is ideally suited for compute-intensive applications including deep learning, genomics and transcoding with a revolutionary technology platform that is built from the ground up to accelerate and scale compute performance with industry-leading density and performance/power/cost. Harnessing the power and flexibility of FPGAs, the NVXL acceleration platform integrates seamlessly to frameworks and implements a data flow architecture using dynamically provisioned instances created from a pool of acceleration devices. The NVXL platform is extremely easy to deploy and use, and it abstracts all the low-level details. NVXL, with its massively scalable, software-defined acceleration platform, is shattering the boundaries to enable the next generation of deep learning applications.

With unprecedented flexibility and scale, NVXL is transforming the way compute acceleration is deployed, consumed, and delivered.

At NVXL, we never stop accelerating.
Executive Team
    1. 20+ years in the software industry
    2. 3 Successful startups ($100M+)
    3. Performance Management Consultant to Fortune 500 (Kaiser, EMC software, NATO, HCA)
    Jeffrey Bunting

    Co-Founder/CEO
    1. 20+ years’ experience in deep learning acceleration tech and EDA, Ph.D. (Rensselaer Polytechnic Institute)
    2. Vice President of Software at Wave Computing
    3. Manager of R&D at Oasys Design Systems
    Dr. Samit Chaudhuri

    CTO
    1. 20+ years in the storage IC & systems, MBA (Berkeley)
    2. Co-founded LSI Nytro (acquired by Seagate at $450M)
    3. Introduced industry 1st PCIe and 6Gb/s SATA flash controller
    Michael Chang

    Co-Founder/VP Product Marketing
    1. 20+ years experience selling highly complex solutions in compute, storage, and networking industries
    2. Director of Data Center Sales at Xilinx
    3. Director of Strategic Sales at LSI Corporate
    Andria Zou

    VP, Sales & Business Development
    1. 17+ years in chip design, Ph.D. (Michigan), MBA (Berkeley)
    2. Senior Design Manager for Xeon server at Intel
    3. Director of Product Planning at SK Hynix
    Dr. Joonyoung Kim

    Head of Machine Learning Hardware
    1. 20+ years’ experience in high performance computing, R&D, firmware design, FPGA design, and CM/ODM.
    2. Co-architect of Gigamon’s first H-series platform.
    3. Expert in guiding engineering teams and delivering numerous products across multiple platforms.
    Dr. Anthony Gallippi

    Senior Director- System Architecture & Hardware Development
    1. 20+ years’ experience developing apps in AI, image processing, deep learning, software design, and computer vision.
    2. While at Intel, developed a Nanovision (NV) image analysis and simulation tool.
    3. Author of three U. S. patents.
    Dr. Ke Han

    Principal Software Architect
Investing in NVXL
In November, 2017, NVXL obtained Series A funding with Alibaba Group as the lead investor.
Investor presentation

Investment press release

Advisory Committee
  • Dr. Jingren Zhou

    VP, Search and Compute Platforms
    Alibaba Group
  • Dr. Sharad Malik

    Head of ECE
    Princeton University
  • Dr. Danny Lang

    DL Executive
    Amazon, Uber, Unity
  • Dr. Jianxiong Xiao

    CEO
    AutoX Inc.
Discover more
Platform scales to thousands of FPGA, GPU, and ASIC compute acceleration devices while significantly reducing TCO.