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]
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| Company type | Private |
|---|---|
| Industry | Data Center Technology |
| Founded | 2015; 9 years ago (2015) |
| Founders |
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| Headquarters |
,
United States
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Key people |
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Number of employees | 200[5] |
| Parent | Microsoft (2023–present) |
| Website | fungible |
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]