Investment to help productize acceleration technology and broaden vertical market offerings
Falcon Computing Solutions, a leader in Acceleration technology and solutions for big-data applications, today announced it had closed $8M in financing led by Intel Capital. Joining Intel Capital are all previous investors including Baidu Ventures and Clear Ventures, as well as SV Tech Ventures and Sierra Ventures.
Falcon will use the investment to continue building a world-class team to productize its acceleration technology and build best-in-class solutions across multiple vertical markets. In addition to its existing offices in Los Angeles and Beijing, the company also recently opened new headquarters in Santa Clara, CA as it continues to grow. The investment brings the total raised by the company to over $10M.
Falcon Computing provides solutions that look beyond parallelization to enable seamless and scalable acceleration capability. Its products include compile and runtime tools and libraries that span multiple vertical markets, enabling order of magnitude improvements in performance and power efficiency. Falcon technology has been deployed in markets including Genomics Sequencing, Machine Learning, Autonomous Driving, and Computer and Medical Imaging, with significant acceleration achieved using existing applications.
“Our outstanding group of investors and emerging product offerings are well-timed and position Falcon for growth as the leader in acceleration solutions”, noted Falcon CEO Bradley Howe. “As an increasing number of vertical applications look to leverage the capabilities of today’s data center, Falcon provides the means for those with limited experience to do so quickly and easily.”
“This is an exciting time for customizable computing as Field Programmable Gate Arrays (FPGAs) are adopted in both private and public clouds, along with Intel’s steps toward an integrated CPU+FPGA solution to power next-generation servers”, said Dr. Jason Cong, company Co-Founder and Chancellor’s Professor and Director of the Center for Domain-Specific Computing at UCLA. “Falcon has been the industry leader in providing software to enable FPGA-based acceleration in datacenters. This investment will greatly expand the product development and market adoption.”
“Falcon Computing’s expertise and solutions will help unlock FPGA benefits for cloud and data center developers and users,” said Alex Grbic, vice president of product marketing at Intel Corp.’s Programmable Solutions Group. “We are excited to work with Falcon Computing and its customers.”
In addition to the investment, Falcon and Intel will collaborate on new platforms and technologies that will combine Falcon’s acceleration solutions with Intel’s emerging FPGA product offerings.
Falcon Computing Solutions
Falcon Computing Solutions was founded in 2014 and provides seamless and scalable acceleration solutions to big-data applications. Its products include compile and runtime tools and libraries that span multiple vertical markets, enabling order of magnitude improvements in performance and power efficiency. The company is based in Santa Clara, CA with offices in Los Angeles and Beijing with investors that include Intel Capital, Baidu Ventures, Clear Ventures, SV Tech Ventures, and Sierra Ventures. More information can be found at www.falcon-computing.com.
Intel Capital, Intel’s strategic investment and M&A organization, backs innovative startups targeting computing and smart devices, cloud, datacenter, security, the Internet of Things, wearable and robotic technologies and semiconductor manufacturing. Since 1991, Intel Capital has invested US$12.2 billion in 1,480 companies worldwide, and 627 portfolio companies have gone public or been acquired. Through its business development programs, Intel Capital curates thousands of introductions each year between its portfolio executives and Intel’s customers and partners in the Global 2000. For more information on what makes Intel Capital one of the world’s most powerful venture capital firms, visit www.intelcapital.com or follow @Intelcapital.