Company type | Private |
---|---|
Industry | Data Center Technology |
Founded | 2015 |
Founders | |
Headquarters | , United States |
Key people |
|
Number of employees | 200 [5] |
Parent | Microsoft (2023–present) |
Website |
fungible |
Fungible Inc. is a technology company headquartered in Santa Clara, California. The company develops hardware and software to improve the performance, reliability and economics of data centers. [6]
The company was founded in 2015 by Pradeep Sindhu, co-founder and chief scientist of Juniper Networks, and Bertrand Serlet, former senior vice president of software engineering at Apple Inc. [7] [8]
In February 2017, the company raised $32 million in a series A round, led by Mayfield Fund, Walden Riverwood Ventures and Battery Ventures. [9]
In June 2019, the company raised $200 million (~$235 million in 2023) in a series C funding round, led by SoftBank Vision Fund, along with Norwest Venture Partners and existing investors. [10] By then, the company had 200 employees. [5]
In September 2019, Fungible announced the appointment of former Dell and IBM chief technical officer Dr. Jai Menon as its chief scientist. [11]
In July 2021, Fungible announced the appointment of Eric Hayes replacing Pradeep Sindhu as its CEO. [12]
In January 2023, Microsoft announced the acquisition of Fungible to bolster its data center infrastructure and their data processing unit. [13]
Fungible develops a new category of programmable microprocessors called Data Processing Units (DPU), designed to accelerate the processing of data-centric workloads within data centers. [14] [15] The DPU acts as a data traffic controller, shuttling traffic from the network to central processing units ( CPU) and graphics processing units ( GPU) from other chip makers. DPUs enable a high speed data center fabric between DPU-enabled compute and storage servers. [10] [15]
The microprocessors enable the next evolution of data center infrastructure known as composable disaggregated infrastructure, which is a way for data centers to improve their architecture by disassociating compute and storage elements, removing the physical limitations of existing servers. [16] Data center resources can be pooled and aggregated dynamically over a high speed data fabric. [17]