Who makes NICs / SuperNICs for AI data centers
Network interface cards, including Nvidia's higher-bandwidth "SuperNIC" variants, that connect a server's CPU and GPUs to the cluster network.
NICs move data in and out of a server node; SuperNICs are a higher-bandwidth variant built specifically to keep pace with GPU-to-GPU traffic in an AI cluster rather than conventional data center networking loads. They sit between the server CPU and GPUs (Server CPUs, Merchant GPUs / accelerators) on the board and the switches and cabling in Layer 3, and their bandwidth and port count are set largely by what the GPU generation on the same board needs to feed and be fed at. Supplier concentration here is meaningful — a small number of vendors, several of them also selling the GPUs themselves, supply the bulk of AI-cluster NIC and SuperNIC silicon — which gives an investor a fairly direct read-through from GPU shipment trends to NIC demand without needing a separate forecast. The qualification bar is set by interoperability with the switch and optics layer above it (Layer 3) as much as by the NIC silicon alone, so generational transitions tend to move in lockstep with the broader cluster networking refresh rather than on an independent cycle.
AI delta: Training and inference workloads depend on moving large tensors between accelerators at high bandwidth and low latency, which pulls NIC and SuperNIC speed and count up in step with cluster and GPU generation size.
Companies on this part (5)
| Company | Role | Ownership | Ticker | Price | 1d | Confidence | Note |
|---|---|---|---|---|---|---|---|
| AMD | manufacturer | public | AMD | 517 USD | +2.2% | inferred | Pensando/Pollara |
| Broadcom | manufacturer | public | AVGO | 322 USD | -0.3% | inferred | |
| Intel | manufacturer | public | INTC | 86.96 USD | +2.6% | inferred | |
| Marvell | manufacturer | public | MRVL | 229 USD | +3.7% | inferred | |
| Nvidia | manufacturer | public | NVDA | 211 USD | -0.7% | inferred | ConnectX |
Who competes here
The same table read the other way: every company above competes for NICs / SuperNICs sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.
Seen in real machines
NICs / SuperNICs is named in 16 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine. The companies shown are the ones named on that line, not necessarily the maker of this part.
- Nvidia GB300 NVL72 · rack teardown
- ConnectX-8 SuperNICs, BlueField-3 DPUs — Nvidia
- AMD Helios (MI455X) · rack teardown
- Pensando "Vulcano" AI NIC (800 Gbps scale-out, PCIe Gen 6, OCP form factor, UALink to CPU/GPU) — AMD
- El Capitan · supercomputer
- Slingshot-11 network interfaces (4 x 200 Gb/s per node, one per APU, on PCIe 5.0 x16) — HPE
- Frontier · supercomputer
- Network interface (four HPE Slingshot 200 Gb/s NICs per node, 100 GB/s injection bandwidth) — HPE
- Aurora · supercomputer
- HPE Cassini NIC (200 Gb/s, 2 ports per NIC, 8 NICs per node, PCIe Gen4 host interface) — HPE
- JUPITER · supercomputer
- InfiniBand adapters (ConnectX-7, NDR200: 4 per Booster node, 1 per Cluster node) — Nvidia
- Alps · supercomputer
- Network interface cards (HPE Cassini, Slingshot-11 at 200 Gb/s; 4 per GH200 node, 2 per Rome node) — HPE
- LUMI · supercomputer
- Network interface (200 Gb/s HPE Slingshot NIC; four per LUMI-G node, one per MI250X module, 800 Gb/s injection) — HPE
- Leonardo · supercomputer
- Network adapters (ConnectX-6 HDR100: two dual-port cards per Booster node, one single-port card per Data Centric node) — Nvidia
- Isambard-AI · supercomputer
- Slingshot network interface (HPE Cassini NIC, 200 Gb/s, one per superchip, 4 per node) — HPE
- Venado · supercomputer
- Network interface cards (HPE Cassini NIC in the Slingshot 11 interconnect) — HPE
- Perlmutter · supercomputer
- Network interface (200 Gb/s HPE Slingshot "Cassini" NIC; four per GPU node, one per CPU node) — HPE
- Eagle (Microsoft Azure) · supercomputer
- InfiniBand adapters (ConnectX-7, 400 Gb/s NDR, one per GPU, 8 per VM) — Nvidia
- Eos · supercomputer
- Network adapters (eight single-port ConnectX-7 InfiniBand cards for the compute fabric, two dual-port ConnectX-7 cards for storage and in-band management, per DGX H100) — Nvidia
- Fugaku · supercomputer
- Tofu Interconnect D (on-die network controller and router, 6D mesh/torus, 6 network interfaces at 6.8 GB/s each, about 216,864 cables) — Fujitsu
- MareNostrum 5 · supercomputer
- InfiniBand adapters (ConnectX-7 NDR200, one per GPU in the accelerated nodes; one per two nodes in the general-purpose partition) — Nvidia
Nearby parts
- Previous in layer: Server CPUs
- Next in layer: DPUs
- Layer: Layer 1 — Compute silicon & packaging
Latest feed
- [AI Infrastructure Insight] How AI infrastructure will be designed for the future — newsroom:sk-hynix, 2026-10-22Effective real-world AI application requires improvements across faster compute, wider memory bandwidth, higher-performance networking, better storage, and more stable power infrastructure.
- Taiwan raising $4 billion to build industrial park in Texas to support US chipmaking supply chain — Tom's Hardware, 2026-10-16Taiwan plans to build a $4 billion industrial park in Texas to help smaller Taiwanese companies expand their presence supporting major chipmakers.
- Intel says AI 'gold rush' is over, pushes prompt routing across open hardware — DigiTimes, 2026-10-15Intel announced at the OCP Global Summit that the era of massive, centralized AI models is shifting toward distributed prompt routing across open hardware.
- Qotom Q30952UE Review the New Black Box for 10G Networking — ServeTheHome, 2026-09-21The Qotom Q30952UE is a new networking device that features two SFP+ 10G ports and six 2.5GbE ports.
- Compal takes Compal Broadband Networks private to fold networking into its edge AI stack — DigiTimes, 2026-09-18Compal Electronics is buying its networking arm, Compal Broadband Networks, to integrate the router and gateway business fully into its edge AI hardware stack.
- AI server exports to US slow; electronics parts jump 1.5 times in August — DigiTimes, 2026-09-13Taiwan reported that electronic parts exports reached a record high of $32.22 billion in August 2026, with integrated circuits and printed circuit boards seeing significant growth.
- Mature-node chip scramble may persist through 2028 as supply chain management becomes bargaining leverage — DigiTimes, 2026-09-09Supply chain constraints for advanced semiconductor processes, packaging, and mature-node chips are expected to persist for several years.
- Strategy Paper Urges Canada to Add Semiconductors to AI Strategy — EE Times, 2026-09-08A strategy paper recommended that Canada must integrate semiconductors into its national AI strategy to support its domestic hardware capabilities.
- Renewable power shortage puts Taiwan's chip cluster under scrutiny — DigiTimes, 2026-09-08Taiwan's semiconductor and AI infrastructure expansion is intensifying pressure on chip manufacturers to adopt renewables, due to prohibitive green power costs and severe power supply constraints.
- China interconnect chipmaker Montage enters Samsung, SK Hynix CXL 3.2 supply chains and begins DDR6 development — DigiTimes, 2026-09-04Montage Technology is expanding its role in AI data center infrastructure by developing products for CXL 3.2, DDR6, and PCIe, moving beyond traditional DDR interfaces.
Questions about NICs / SuperNICs
- What are NICs / SuperNICs?
- Network interface cards, including Nvidia's higher-bandwidth "SuperNIC" variants, that connect a server's CPU and GPUs to the cluster network.
- Which companies make NICs / SuperNICs for AI data centers?
- This catalog lists 5 companies on NICs / SuperNICs, 5 of them with listed equity: AMD, Broadcom, Intel, Marvell, Nvidia.
- How does AI change demand for NICs / SuperNICs?
- Training and inference workloads depend on moving large tensors between accelerators at high bandwidth and low latency, which pulls NIC and SuperNIC speed and count up in step with cluster and GPU generation size.
- How reliable are these NICs / SuperNICs supplier placements?
- The 5 placements on this part break down as 5 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.
Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON