InvestNot yet confirmed elsewhere1 publisher2 min readPublished
Google and Meta will use Nvidia networking gear while building rival chips, Nvidia says
Nvidia said at the OCP summit that Google and Meta will adopt its Spectrum-X and related networking gear. Google's named products are narrower than that description, so the announcement shows less about Nvidia's network position than its lead sentence suggests.
The Investor · Invest desk

Key figures: Nvidia's fiscal second-quarter revenue, May to July 2026, was $96.2 billion, up 106% from a year earlier. Data center revenue was $89 billion, about 92.5% of the quarter's revenue.
| Figure | Value | Note | Claim |
|---|---|---|---|
| Fiscal second-quarter revenue, May to July 2026 | $96.2 billion | up 106% from a year earlier | 7 |
| Data center revenue | $89 billion | 8 | |
| Data center share, about | 92.5% of revenue | 14 |
What happened
- According to Nvidia's blog post, Meta and Nvidia are collaborating on open AI networking that uses Nvidia's Spectrum-X Ethernet SuperNIC and its Spectrum-6 switch chips.
- In a separate arrangement, Google will support Falcon Transport on two Nvidia products: the forthcoming ConnectX-10 SuperNICs and the BlueField data processing units.
- Meta rents Google's Tensor Processing Units under a deal worth billions of dollars, and it has already shipped MTIA designs of its own.
- Nvidia also published its Vera Rubin rack and compute-tray designs through the Open Compute Project, letting other companies make hardware that works with them.
- Nvidia's fiscal second quarter, May to July 2026, produced revenue up 106% from a year earlier.
Why it matters
- capability Published Vera Rubin rack and tray designs let companies other than Nvidia build to its pattern, so more makers can compete to fill a rack order shaped around Nvidia's design.
- constraint The evidence covers two buyers. Microsoft showed Maia 300 and helped develop the grid specification, yet the networking announcement names only Google and Meta.
- precedent Power, cooling and layout rules for AI sites are being published under Nvidia's lead, with AMD, Google and Meta as co-publishers of the v0.7 specification.
The incentive is visible in Nvidia's revenue mix. Of the $96.2 billion quarter [7], $89 billion was data center [8], a 92.5% share [14]. Cryptopolitan reports that hyperscalers such as Microsoft account for more than half of quarterly revenue [19], and if that share applies to this quarter the floor is $48.1 billion [20]. Among those buyers, Meta rents Google's TPUs and ships its own MTIA designs [3], Google sells TPUs to outside customers [4], and Microsoft showed its Maia 300 inference chip [6]. Each GPU one of them stops buying has to be replaced in Nvidia's sales by something, and the cards and switches that wire up whatever the buyer picks instead are the obvious candidate.
We think the evidence supports a narrow version of the thesis: Nvidia has a place in the network of two of its sharpest custom-silicon rivals. Nvidia's lead sentence, as reported, puts both under Spectrum-X and related interconnect gear [17], and Cryptopolitan's FAQ goes further, describing both companies as standardizing on Nvidia's interconnect [18]. Meta's arrangement fits that word. Google's support for a transport protocol on upcoming cards fits it less. Two other readings fit the published facts. A hyperscaler can support a card or protocol at small cost and small commitment, which would make this an interoperability gesture. Or the adoption is a bridge until the buyers' own designs catch up. The account includes no order sizes for either company, so it cannot separate those readings from ours.
What would prove the narrow reading wrong is a growth rate. Total revenue rose 106% [7] from roughly $46.7 billion a year earlier [15]. If Nvidia ever reports a networking line and it grows well below that pace while Google and Meta add custom silicon, the layer is losing share. Management's forecast that the coming fiscal year will be supply-constrained [9] complicates any early read: when supply is the limit, a hyperscaler's choice of Nvidia gear says as much about availability as about preference.
The Vera Rubin rack is already in the field. Nvidia began shipping it in August [11], Supermicro announced its own Vera Rubin rack shipments on September 23, and a week after that CoreWeave said one of its customers had production workloads running on the rack [11]. The optics announcement involves partners making the hardware too. The module Nvidia announced with Cisco runs at 400 gigabits per lane, which at 12.8 terabits in total is 32 lanes [16]. Against 200-gigabit optics, the companies claim a fourfold gain in bandwidth density and roughly a 1.3-times gain in power efficiency [10]. TE Connectivity and Amphenol are partners on the components [10].
What to watch
- Google or Meta confirming the Nvidia networking deployments in its own words, with dates or volumes, since the account rests on Nvidia's announcement and blog post.
- The first Vera Rubin-compatible racks or trays from companies other than Nvidia, which would show whether the open designs are being built.
- Nvidia's next quarterly report: any change in its supply-constraint language and any separate figure for networking revenue.
Clarity's read
What the record supports and how the coverage leans. The claims behind it follow.
Reality
- Evidence40
- Adoption30
- Hype gap+35
- Incentives65
- Confidence50
Claim ledger
Ranked by verification strength, evidence, and original report placement.
- [1]
Meta is working with Nvidia on open AI networking built around its Spectrum-X Ethernet SuperNIC and Spectrum-6 switch chips, according to Nvidia's blog post.
- [2]
Google will separately support Falcon Transport on Nvidia's upcoming ConnectX-10 SuperNICs and BlueField data processing units.
- [3]
Meta signed a multi-billion-dollar deal to rent Google's Tensor Processing Units and has shipped its own MTIA chip designs.
- [5]
Nvidia shared its Vera Rubin rack and compute-tray designs with the Open Compute Project so other companies can build compatible hardware.
- [6]
Microsoft showed off its own Maia 300 inference chip at the summit, aiming to reduce its reliance on Nvidia and AMD.
- [7]
Nvidia's revenue in its fiscal second quarter (May to July 2026) rose 106% from a year earlier to $96.2 billion.
- [8]
Nvidia's data center business made up most of fiscal second-quarter revenue, at $89 billion.
- [9]
Nvidia management predicts that the coming fiscal year will be supply-constrained.
- [10]
Nvidia and Cisco announced the Ultra-Dense Small Form Factor Pluggable (USFP) optical module running at 400 gigabits per second per lane and 12.8 terabits per second in total; the companies say it offers four times the bandwidth density and about 1.3 times the power efficiency of 200-gigabit optics, and TE Connectivity and Amphenol are working with them on the parts.
- [11]
Nvidia began shipping Vera Rubin in August; Supermicro said on September 23 that it was shipping Vera Rubin racks, and CoreWeave said a week later that a customer was running production workloads on it.
- [12]
Nvidia released Open Data Center Specification v0.7, a shared blueprint for how AI factories handle power, cooling and layout; AMD, Google and Meta joined Nvidia in publishing it.
- [13]
The OCP Grid Resilience Specification was developed by Nvidia with Google, Meta and Microsoft and covers how large AI sites ride out power grid disturbances and return to near-full load in under two seconds.
- [14]
Data center revenue was about 92.5% of Nvidia's fiscal second-quarter revenue.
- [15]
Nvidia's revenue a year earlier was roughly $46.7 billion.
- [16]
A module running 12.8 terabits per second in total at 400 gigabits per second per lane has 32 lanes.
- [17]
At the OCP Global Summit in San Jose, Nvidia said Google and Meta are adopting its Spectrum-X networking and related interconnect gear.
ReportedContestedSource: Nvidia, as reported by Cryptopolitan2 sources— create a free account to open themView cited source - [18]
Cryptopolitan's FAQ describes both Google and Meta as standardizing on Nvidia's interconnect, which it says shows where Nvidia's hold on AI infrastructure remains strong.
ReportedContestedSource: Cryptopolitan FAQ2 sources— create a free account to open themView cited source - [19]
Hyperscalers like Microsoft make up more than half of Nvidia's quarterly revenue.
- [20]
If the hyperscaler share applies to the $96.2 billion quarter, the floor on hyperscaler revenue is $48.1 billion.
Sources
1 independent publisher whose own reporting we read for this story.
- cryptopolitan.comGoogle and Meta adopt Nvidia networking gear at OCP summit
1 article · October 12, 2026
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