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Enfabrica

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Namestring
Enfabrica
Legal namestring
Enfabrica Corporation
Websiteurl
enfabrica.net
Company typeenum
Private
Founded yearint
2019
Descriptiontext

Enfabrica is a networking silicon and software company founded in 2019 and headquartered in Mountain View, California, specializing in infrastructure components for AI data centers. The company's core technology is the patented Accelerated Compute Fabric (ACF) architecture, which delivers high-throughput, fault-tolerant, multi-path networking designed specifically for AI workloads. Its flagship product is the ACF-S SuperNIC, which provides 3.2 Tbps throughput with multi-port 800GbE, PCIe Gen5, and CXL 2.0+ interfaces, engineered to connect 100,000+ GPUs as a unified supercomputer and support up to 524,288 accelerators on a 2-layer switched network. In July 2025, Enfabrica introduced EMFASYS (Elastic Memory Fabric System), the first commercially available Ethernet-based memory fabric for AI inference, which uses the same ACF-S silicon to pool up to 18 TB of DDR5 DRAM via CXL, enabling dynamic offloading from expensive GPU HBM with microsecond-level latency.\n\nEnfabrica's revenue model centers on hardware sales of its ACF-S SuperNIC chips and EMFASYS systems to enterprise customers, with an enterprise field sales motion targeting major AI cloud providers and hyperscalers. Pricing is custom B2B and not publicly disclosed. At the time of acquisition, products were in pilot deployment with major AI cloud providers, with broader commercial availability of ACF-S expected in Q1 2025. The company raised approximately $240 million across two rounds — a $125M Series B in September 2023 and a $115M Series C in November 2024 led by Spark Capital — with strategic backing from Arm Holdings, Cisco Investments, Samsung Catalyst Fund, and Nvidia (prior investor).\n\nIn September 2025, Nvidia acquired Enfabrica in a $900M+ acquihire deal, hiring CEO Rochan Sankar and licensing the company's AI networking technology. The acquisition represented one of Nvidia's largest acquihire transactions and was positioned to extend Nvidia's strategy from selling processors into offering complete AI infrastructure solutions.

Short descriptiontext

Enfabrica develops high-throughput AI networking silicon (ACF-S SuperNIC, 3.2 Tbps) and the first Ethernet-based memory fabric (EMFASYS) for hyperscaler AI data centers, targeting major AI cloud providers. Acquired by Nvidia in September 2025 for $900M+.

Operating statusenum
Acquired
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersMountain View, United States
HQ citystring
Mountain View
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
AI networking silicon, data center networking, GPU interconnect chips, SuperNIC hardware, memory fabric systems
Industry1 code
1AI Networking for Clusters (InfiniBand/Ethernet/RDMA)
CodeHDAAAAAEPrimaryYes
NAICS code1 code
  • Semiconductor and Related Device Manufacturing334413
SIC code1 code
  • Computer Communications Equipment3576
Product category
AI Networking Silicon
Social media profiles2 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model1 record
1AI Networking Silicon Hardware
TypeHardware Sales
Description

Enfabrica generates revenue through the sale of its ACF-S SuperNIC chips and related networking hardware to AI data center operators. The company was ramping up production of ACF SuperNIC chips with initial availability expected in Q1 2025.

unite.ai
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels1 record

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations
GTM typeB2B
B2B
Offering typeHardware or Manufacturing
Hardware or Manufacturing
Brand1 of 2 records shown
1ACF-S
Description

World's highest throughput AI SuperNIC with 3.2 Tbps throughput, multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces, based on Enfabrica's patented Accelerated Compute Fabric architecture.

enfabrica.net
+1 more record
Core offering1 text field

Enfabrica designs and sells AI networking silicon hardware built on its patented Accelerated Compute Fabric (ACF) architecture. Its flagship ACF-S SuperNIC delivers 3.2 Tbps throughput with multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces to connect 100,000+ GPUs as a unified supercomputer, and its EMFASYS (Elastic Memory Fabric System) uses the same silicon to pool up to 18 TB of DDR5 DRAM for AI inference memory offload. Products are sold to enterprise AI cloud providers and hyperscalers.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • CapEx reduction of up to 29%, OpEx reduction of up to 55%
+2 more records
Product overview1 text field

Enfabrica offered a unified portfolio of AI infrastructure solutions centered on two core products: the ACF-S SuperNIC for high-performance AI networking and the EMFASYS for elastic AI memory fabric. The ACF-S provides 3.2 Tbps throughput for GPU connectivity and rack-scale networking, while EMFASYS leverages the same silicon to pool up to 18 TB of DDR5 DRAM via CXL and Ethernet for cost-effective AI inference memory offloading. Both products use the proprietary Accelerated Compute Fabric (ACF) architecture to enable fault-tolerant, congestion-free data movement across large GPU clusters. The company was acquired by Nvidia in September 2025 for over $900 million.

Product and service2 records
1ACF-S SuperNIC (Accelerated Compute Fabric SuperNIC)
CategoryAI Networking Silicon
Description

The world's highest throughput AI SuperNIC achieving 3.2 Tbps throughput with 8x elastic bandwidth for GPUs. Features multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces based on Enfabrica's patented Accelerated Compute Fabric (ACF) architecture, designed to connect 100,000+ GPUs as a unified supercomputer for AI data centers and hyperscale AI training clusters.

2EMFASYS (Elastic Memory Fabric System)
CategoryMemory Fabric Systems
Description

The industry's first RDMA Ethernet-based AI Memory Fabric architecture that offloads GPU, HBM, and local head node DDR resource consumption. Based on the 3.2 Tbps ACF SuperNIC silicon, it elastically connects up to 144 CXL memory lanes per system to pooled memory targets up to 18 TB CXL DDR5 DRAM, enabling dynamic offloading from expensive GPU HBM to more affordable DRAM with microsecond-level access latency for AI inference workloads.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Broadcom is a leading supplier of networking silicon — including Ethernet NICs, switches, and custom AI ASICs — for hyperscale data centers and AI clusters. It competes head-to-head with Enfabrica's ACF-S SuperNIC for high-throughput AI cluster connectivity and serves the same hyperscaler buyer set.

TypeDirect peer
Description

Marvell provides networking connectivity silicon — including Inphi-based DSPs, NVMe-oF controllers, and high-speed Ethernet silicon — that is deeply embedded in AI and cloud infrastructure. Its portfolio overlaps directly with Enfabrica's AI networking and CXL-oriented roadmap and addresses the same hyperscaler customer base.

TypeDirect peer
Description

Nvidia's Mellanox-derived ConnectX and Spectrum-X platforms are the dominant InfiniBand and Ethernet networking solutions for AI clusters. Enfabrica's ACF-S SuperNIC directly competes with ConnectX-7/8 and Spectrum-X for GPU cluster connectivity and inference networking.

TypeDirect peer
Description

Astera Labs designs connectivity silicon for AI and cloud infrastructure — including PCIe retimers, CXL controllers, and Ethernet connectivity ICs — overlapping directly with Enfabrica's CXL and high-speed Ethernet portfolio. Both companies target hyperscaler AI infrastructure customers with similar connectivity silicon.

TypeBroad incumbent
Description

Cisco's Silicon One networking ASIC portfolio targets hyperscale data center and AI routing/switching applications, including AI back-end networks. While part of Cisco's broader networking business, Silicon One competes with Enfabrica's ACF architecture in high-radix, high-throughput switching silicon for AI clusters. Cisco Investments was also a backer of Enfabrica.

TypeDirect peer
Description

Cornelis Networks (formerly Intel's Omni-Path architecture) provides high-performance networking for HPC and AI workloads, including ultra-scale fabric solutions. It overlaps with Enfabrica's positioning around high-throughput, low-latency, multi-path networking for very large GPU/HPC clusters.

TypeEmerging player
Description

XConn Technologies is an emerging startup building CXL switch and fabric silicon for memory pooling and disaggregation in AI and cloud servers. It overlaps with Enfabrica's EMFASYS memory fabric thesis and shares the same CXL-based vision of decoupling memory from compute.

TypeEmerging player
Description

MemVerge builds memory pooling and tiering software/systems for AI and big-data workloads, targeting similar memory-fabric and DRAM-tiering use cases that EMFASYS addresses from the silicon layer. Adjacent ecosystem participant in the AI memory fabric category.

TypeBroad incumbent
Description

AMD's Pensando DPU/data processing unit portfolio provides networking, storage, and security offload for cloud and AI infrastructure. While broader in scope, Pensando competes with Enfabrica's networking silicon for hyperscaler AI server deployments.

TypeBroad incumbent
Description

Microchip supplies a portfolio of networking ICs — including Ethernet PHYs, switches, and timing products — used broadly in data center and AI infrastructure. While less directly competitive on AI SuperNICs, Microchip overlaps with Enfabrica's high-speed interconnect portfolio for cloud and AI server platforms.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers1 record

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment1 record

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile1 record

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI maturity
App detail

Has app

Feature3 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles3 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds2 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors15 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Enfabrica

AI Networking Siliconenfabrica.net

Enfabrica develops high-throughput AI networking silicon (ACF-S SuperNIC, 3.2 Tbps) and the first Ethernet-based memory fabric (EMFASYS) for hyperscaler AI data centers, targeting major AI cloud providers. Acquired by Nvidia in September 2025 for $900M+.

What Enfabrica does

Enfabrica is a networking silicon and software company founded in 2019 and headquartered in Mountain View, California, specializing in infrastructure components for AI data centers. The company's core technology is the patented Accelerated Compute Fabric (ACF) architecture, which delivers high-throughput, fault-tolerant, multi-path networking designed specifically for AI workloads. Its flagship product is the ACF-S SuperNIC, which provides 3.2 Tbps throughput with multi-port 800GbE, PCIe Gen5, and CXL 2.0+ interfaces, engineered to connect 100,000+ GPUs as a unified supercomputer and support up to 524,288 accelerators on a 2-layer switched network. In July 2025, Enfabrica introduced EMFASYS (Elastic Memory Fabric System), the first commercially available Ethernet-based memory fabric for AI inference, which uses the same ACF-S silicon to pool up to 18 TB of DDR5 DRAM via CXL, enabling dynamic offloading from expensive GPU HBM with microsecond-level latency.\n\nEnfabrica's revenue model centers on hardware sales of its ACF-S SuperNIC chips and EMFASYS systems to enterprise customers, with an enterprise field sales motion targeting major AI cloud providers and hyperscalers. Pricing is custom B2B and not publicly disclosed. At the time of acquisition, products were in pilot deployment with major AI cloud providers, with broader commercial availability of ACF-S expected in Q1 2025. The company raised approximately $240 million across two rounds — a $125M Series B in September 2023 and a $115M Series C in November 2024 led by Spark Capital — with strategic backing from Arm Holdings, Cisco Investments, Samsung Catalyst Fund, and Nvidia (prior investor).\n\nIn September 2025, Nvidia acquired Enfabrica in a $900M+ acquihire deal, hiring CEO Rochan Sankar and licensing the company's AI networking technology. The acquisition represented one of Nvidia's largest acquihire transactions and was positioned to extend Nvidia's strategy from selling processors into offering complete AI infrastructure solutions.

Enfabrica firmographics

Firmographics
Name
Enfabrica
Legal name
Enfabrica Corporation
Website
https://enfabrica.net
Company type
Private
Founded year
2019
Operating status
Acquired
Headcount range
101–250 employees
Short description
Enfabrica develops high-throughput AI networking silicon (ACF-S SuperNIC, 3.2 Tbps) and the first Ethernet-based memory fabric (EMFASYS) for hyperscaler AI data centers, targeting major AI cloud providers. Acquired by Nvidia in September 2025 for $900M+.
Ownership category
akta.pro rank

Enfabrica industry classification

Industry
Product category
AI Networking Silicon
NAICS
Semiconductor and Related Device Manufacturing (334413)
SIC
Computer Communications Equipment (3576)
akta.pro primary industry
AI Networking for Clusters (InfiniBand/Ethernet/RDMA) (HDAAAAAE)

Keywords

  • AI networking silicon
  • Data center networking
  • GPU interconnect chips
  • SuperNIC hardware
  • Memory fabric systems

Where Enfabrica is headquartered

Location

Headquarters

HQ city
Mountain View
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Enfabrica business model

Business model
GTM type
B2B
Offering type
Hardware or Manufacturing
Cost components
Technology or R&D, Supply Chain, Personnel, Marketing or Sales, Operations

Revenue model

  1. AI Networking Silicon Hardware: Enfabrica generates revenue through the sale of its ACF-S SuperNIC chips and related networking hardware to AI data center operators. The company was ramping up production of ACF SuperNIC chips with initial availability expected in Q1 2025.

Go-to-market motion1 record

Distribution channels1 record

Marketing channels5 records

Enfabrica product offering

Product offering

Core offering

Enfabrica designs and sells AI networking silicon hardware built on its patented Accelerated Compute Fabric (ACF) architecture. Its flagship ACF-S SuperNIC delivers 3.2 Tbps throughput with multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces to connect 100,000+ GPUs as a unified supercomputer, and its EMFASYS (Elastic Memory Fabric System) uses the same silicon to pool up to 18 TB of DDR5 DRAM for AI inference memory offload. Products are sold to enterprise AI cloud providers and hyperscalers.

Product overview

Enfabrica offered a unified portfolio of AI infrastructure solutions centered on two core products: the ACF-S SuperNIC for high-performance AI networking and the EMFASYS for elastic AI memory fabric. The ACF-S provides 3.2 Tbps throughput for GPU connectivity and rack-scale networking, while EMFASYS leverages the same silicon to pool up to 18 TB of DDR5 DRAM via CXL and Ethernet for cost-effective AI inference memory offloading. Both products use the proprietary Accelerated Compute Fabric (ACF) architecture to enable fault-tolerant, congestion-free data movement across large GPU clusters. The company was acquired by Nvidia in September 2025 for over $900 million.

Differentiator

Problem solved

Functional benefit

Brands

  • ACF-S: World's highest throughput AI SuperNIC with 3.2 Tbps throughput, multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces, based on Enfabrica's patented Accelerated Compute Fabric architecture.
  • EMFASYS

Products and services

  • ACF-S SuperNIC (Accelerated Compute Fabric SuperNIC) The world's highest throughput AI SuperNIC achieving 3.2 Tbps throughput with 8x elastic bandwidth for GPUs. Features multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces based on Enfabrica's patented Accelerated Compute Fabric (ACF) architecture, designed to connect 100,000+ GPUs as a unified supercomputer for AI data centers and hyperscale AI training clusters.
  • EMFASYS (Elastic Memory Fabric System) The industry's first RDMA Ethernet-based AI Memory Fabric architecture that offloads GPU, HBM, and local head node DDR resource consumption. Based on the 3.2 Tbps ACF SuperNIC silicon, it elastically connects up to 144 CXL memory lanes per system to pooled memory targets up to 18 TB CXL DDR5 DRAM, enabling dynamic offloading from expensive GPU HBM to more affordable DRAM with microsecond-level access latency for AI inference workloads.

Quantifiable outcome

  • CapEx reduction of up to 29%, OpEx reduction of up to 55%
  • +2 more outcomes

Companies that use Enfabrica

Customer profile

Named customers1 record

Segments1 record

Ideal customer profiles1 record

Enfabrica technology and API

Technology

Technology focussed Yes

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

Feature3 records

Enfabrica partnerships and signals

Strategic signal

Scale indicators5 records

Recent moves5 records

Expansion highlights5 records

Enfabrica competitors and assessment

Company assessment

Direct peers

  • Broadcom: Broadcom is a leading supplier of networking silicon — including Ethernet NICs, switches, and custom AI ASICs — for hyperscale data centers and AI clusters. It competes head-to-head with Enfabrica's ACF-S SuperNIC for high-throughput AI cluster connectivity and serves the same hyperscaler buyer set.
  • Marvell Technology: Marvell provides networking connectivity silicon — including Inphi-based DSPs, NVMe-oF controllers, and high-speed Ethernet silicon — that is deeply embedded in AI and cloud infrastructure. Its portfolio overlaps directly with Enfabrica's AI networking and CXL-oriented roadmap and addresses the same hyperscaler customer base.
  • Nvidia Networking (Mellanox): Nvidia's Mellanox-derived ConnectX and Spectrum-X platforms are the dominant InfiniBand and Ethernet networking solutions for AI clusters. Enfabrica's ACF-S SuperNIC directly competes with ConnectX-7/8 and Spectrum-X for GPU cluster connectivity and inference networking.
  • Astera Labs: Astera Labs designs connectivity silicon for AI and cloud infrastructure — including PCIe retimers, CXL controllers, and Ethernet connectivity ICs — overlapping directly with Enfabrica's CXL and high-speed Ethernet portfolio. Both companies target hyperscaler AI infrastructure customers with similar connectivity silicon.
  • Cornelis Networks: Cornelis Networks (formerly Intel's Omni-Path architecture) provides high-performance networking for HPC and AI workloads, including ultra-scale fabric solutions. It overlaps with Enfabrica's positioning around high-throughput, low-latency, multi-path networking for very large GPU/HPC clusters.

Broad incumbents

  • Cisco (Silicon One): Cisco's Silicon One networking ASIC portfolio targets hyperscale data center and AI routing/switching applications, including AI back-end networks. While part of Cisco's broader networking business, Silicon One competes with Enfabrica's ACF architecture in high-radix, high-throughput switching silicon for AI clusters. Cisco Investments was also a backer of Enfabrica.
  • AMD (Pensando): AMD's Pensando DPU/data processing unit portfolio provides networking, storage, and security offload for cloud and AI infrastructure. While broader in scope, Pensando competes with Enfabrica's networking silicon for hyperscaler AI server deployments.
  • Microchip Technology: Microchip supplies a portfolio of networking ICs — including Ethernet PHYs, switches, and timing products — used broadly in data center and AI infrastructure. While less directly competitive on AI SuperNICs, Microchip overlaps with Enfabrica's high-speed interconnect portfolio for cloud and AI server platforms.

Emerging players

  • XConn Technologies: XConn Technologies is an emerging startup building CXL switch and fabric silicon for memory pooling and disaggregation in AI and cloud servers. It overlaps with Enfabrica's EMFASYS memory fabric thesis and shares the same CXL-based vision of decoupling memory from compute.
  • MemVerge: MemVerge builds memory pooling and tiering software/systems for AI and big-data workloads, targeting similar memory-fabric and DRAM-tiering use cases that EMFASYS addresses from the silicon layer. Adjacent ecosystem participant in the AI memory fabric category.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights6 records

Customer concentration

Enfabrica social profiles

Digital presence

Enfabrica financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Enfabrica leadership team

Management profile

Number of profiles

Profiles3 records

Enfabrica funding detail

Funding detail

Funding overview

Funding rounds2 records

Investors15 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Enfabrica M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Enfabrica

What does Enfabrica do?

Enfabrica designs and sells AI networking silicon hardware built on its patented Accelerated Compute Fabric (ACF) architecture. Its flagship ACF-S SuperNIC delivers 3.2 Tbps throughput with multi-port 800GbE, PCIe Gen5 and CXL 2.0+ interfaces to connect 100,000+ GPUs as a unified supercomputer, and its EMFASYS (Elastic Memory Fabric System) uses the same silicon to pool up to 18 TB of DDR5 DRAM for AI inference memory offload. Products are sold to enterprise AI cloud providers and hyperscalers.

Is Enfabrica a public or private company?

Enfabrica is a private company. It is classified as corporate owned and is currently acquired.

When was Enfabrica founded?

Enfabrica was founded in 2019. It employs 101 to 250 people.

Where is Enfabrica based?

Enfabrica is headquartered in Mountain View, United States, in the North America region.

How does Enfabrica make money?

One revenue line is on record: AI Networking Silicon Hardware.

Who are Enfabrica's main competitors?

Direct peers on record are Broadcom, Marvell Technology, Nvidia Networking (Mellanox), Astera Labs and Cornelis Networks. Broad incumbents are Cisco (Silicon One), AMD (Pensando) and Microchip Technology. Emerging players are XConn Technologies and MemVerge.

Does Enfabrica have an API?

No public API is recorded for Enfabrica.

What industry is Enfabrica in?

Enfabrica's product category is AI Networking Silicon. Its primary akta.pro industry code is HDAAAAAE, AI Networking for Clusters (InfiniBand/Ethernet/RDMA). Its NAICS code is 334413 and its SIC code is 3576.

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Live signals
ForbesInside The Top Private Infra Companies Taking Advantage Of The AI BoomFuturiom's 2026 report tracks the continued AI infrastructure boom, with the four major hyperscalers (Alphabet, Amazon, Meta, Microsoft) budgeting over $600 billion in combined capital expenditure and total AI spending reaching approximately $1 trillion annually. Two companies from their 2025 Futuriom 50 list completed IPOs—CoreWeave raised $1.5 billion in March 2025 and subsequently secured a $14 billion contract with Meta, while Netskope raised $908.2 million but saw its shares decline 50% from their first-day close. Significant M&A and funding activity among private infrastructure companies included Google announcing a $32 billion acquisition of Wiz, Palo Alto Networks spending $3.35 billion on Chronosphere, AT&T taking a $650 million stake in DriveNets, and Nvidia licensing Enfabrica's technology for $900 million.Business InsiderNvidia gained these 9 key leaders, while these 3 departed in the last yearNvidia has made nine senior leadership hires over the past year, including Alison Wagonfeld as its first-ever chief marketing officer, as the company expands its software products and engages more aggressively with governments and enterprise customers. The hires include talent acquired through startup deals, such as a $900 million acqui-hire of AI infrastructure company Enfabrica and a $20 billion licensing deal with Groq that brought founder Jonathan Ross and COO Sunny Madra to Nvidia. Notable departures include former VP of worldwide AI initiatives Keith Strier, robotics research head Dieter Fox, and autonomous vehicle research VP Minwoo Park, who departed to join Hyundai.BlocksandfilesNvidia bids $900M+ for server fabric startup EnfabricaNvidia is acquiring Enfabrica, a server fabric interconnect developer, in a deal valued at over $900 million. Enfabrica's ACF-S chip interconnects hyperscalers' AI servers, and the company has raised $290 million in VC funding. Nvidia has also invested in Intel and Nscale.Seeking AlphaNvidia hires Enfabrica CEO and licenses AI startup's tech for over $900MNvidia paid over $900M in cash and stock to hire Enfabrica CEO Rochan Sankar and license its AI hardware technology, closing last week. Enfabrica's tech connects over 100,000 GPUs, and Nvidia previously invested $125M in 2023. The deal follows similar talent and tech acquisitions by Meta and Google.The Times of IndiaNvidia spent over $900 million to hire Enfabrica CEO, license technology, CNBC reports - The Economic TimesNvidia has spent over $900 million to acquire AI hardware startup Enfabrica, including hiring its CEO Rochan Sankar and licensing the company's technology, with the deal closing last week. Enfabrica, a Silicon Valley-based chip startup that raised $260 million in venture capital, addresses the challenge of efficiently connecting tens of thousands of AI chips in networks to prevent bottlenecks. The deal mirrors similar moves by Meta and Google to bolster their AI capabilities through strategic talent and technology acquisitions.BenzingaNvidia Reportedly Spends Over $900 Million To Hire Enfabrica CEO Rochan Sankar And License Startup's BreaNvidia has reportedly finalized a deal worth more than $900 million to bring on Enfabrica CEO Rochan Sankar and key employees while licensing the startup's technology for linking over 100,000 GPUs into unified systems. The acquihire-style transaction, combining cash and stock, gives Nvidia access to both elite AI talent and networking technology crucial for scaling data center offerings. The move follows similar talent acquisition deals by Meta, Google, Microsoft, and Amazon, and will enable Nvidia to expand beyond its current rack-based systems into supercomputer-scale configurations.The Times of IndiaNvidia spends over $900 million to buy Enfabrica CEO, licence technology: Here’s whyNvidia is paying over $900 million in cash and stock to acquire the team from AI startup Enfabrica, including CEO Rochan Sankar. The company previously invested $125 million in Enfabrica in 2023. Nvidia aims to build an internal AI research pool to become an end-to-end AI leader.TechbuzzNvidia drops $900M+ on Enfabrica CEO hire in mega-acquihireNvidia has acquired Enfabrica CEO Rochan Sankar and licensed the AI networking startup's technology for over $900 million in an acquihire deal that closed last week. Enfabrica's technology connects 100,000+ GPUs as a unified supercomputer, addressing a critical bottleneck as cloud providers race to build massive AI training clusters. The deal positions Nvidia to shift from selling processors to offering complete AI infrastructure solutions, following its $6.9 billion Mellanox purchase in 2019 and part of a broader trend of tech giants using acquihires to avoid antitrust scrutiny.Unite.AIEnfabrica Unveils Ethernet-Based Memory Fabric That Could Redefine AI Inference at ScaleEnfabrica, a Silicon Valley startup backed by Nvidia, has unveiled the Elastic Memory Fabric System (EMFASYS), the first commercially available Ethernet-based memory fabric designed to address memory access bottlenecks in generative AI inference at scale. The system uses Enfabrica's ACF-S chip achieving 3.2 Tbps throughput to pool up to 18 terabytes of DDR5 DRAM across racks via standard Ethernet and CXL, enabling dynamic offloading from expensive GPU HBM to more affordable DRAM with microsecond-level access latency. Major AI cloud providers are already piloting the system, positioning Enfabrica to reshape data center economics by decoupling memory from compute and enabling more efficient AI inference scaling.YahooNvidia-backed Enfabrica releases system aimed at easing memory costsEnfabrica, an Nvidia-backed chip startup, released EMFASYS, a chip-and-software system to reduce memory costs in AI data centers. The system uses a custom networking chip to connect AI chips to cheaper DDR5 memory, aiming to cap costs as companies scale AI. Enfabrica has three large AI cloud customers using the chip.