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NVIDIA Launches Vera CPU and Vera Rubin NVL72 at COMPUTEX / GTC Taipei · history

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2026-05-25 06:11 UTC · 168 items

What

NVIDIA's Vera Rubin NVL72 platform has moved beyond hyperscaler partnership announcements into concrete, named infrastructure deals at extraordinary scale. Nscale has been confirmed as the first European company to deploy NVIDIA Vera Rubin [19], and has announced two distinct Microsoft-facing deployments: delivery of 66,000+ Rubin GPUs to Microsoft at Start Campus in Portugal [20][21], and a 1.35GW AI Factory Campus in West Virginia co-announced with Microsoft, NVIDIA, and Caterpillar [22]. The previously documented hyperscaler commitments from Google Cloud [15], Meta [13], and Azure [16] now have a sharper structural picture: Nscale is operating as a major infrastructure intermediary deploying Vera Rubin capacity on behalf of Microsoft across two continents. The factual contradiction over Micron's HBM4 role remains unresolved, while memory costs have been revised upward to a 485% surge with rack prices reaching $8.8 million [23][24].

Why it matters

The West Virginia 1.35GW project — requiring coordination with Caterpillar for power infrastructure alongside NVIDIA and Microsoft — signals that Vera Rubin deployment is now operating at a scale that reshapes energy and industrial supply chains, not just semiconductor supply chains. The Nscale intermediary model, deploying GPU capacity specifically for Microsoft at named campuses across Portugal and the US, reveals an emerging market structure where specialized cloud infrastructure providers absorb the complexity of hyperscale Vera Rubin deployment. At this scale, the memory supply constraint and the unresolved Micron supplier question directly govern whether deployment timelines hold.

Open questions

  • The West Virginia AI Factory is described as 1.35GW [22] — what is the timeline for buildout and when does GPU deployment begin? Does the Caterpillar involvement signal that power generation infrastructure, not GPU supply, is the binding constraint at this scale?

  • Nscale is deploying 66,000+ GPUs for Microsoft in Portugal [20] and co-developing a 1.35GW campus in West Virginia [22] — do these deployments draw on the same 100,000+ GPU 2027 commitment [41], or do they represent additional capacity beyond the previously announced figures?

  • Micron's official investor relations page states it is in 'high-volume production of HBM4 designed for NVIDIA Vera Rubin' [34], while industry reports maintain Micron is excluded from initial Vera Rubin supply [32][33] — at the deployment scale now documented, does a two-supplier vs. three-supplier HBM4 allocation materially affect whether the Portugal and West Virginia timelines can be met?

  • NVIDIA's headline 10x cost-per-token claims [10][42] originate entirely from NVIDIA's own materials — has any of the Google Cloud [15], Microsoft, or Nscale deployments produced independent performance or cost data that could validate or challenge these figures?

Narrative

NVIDIA's Vera Rubin NVL72 — 336 billion transistors, 50 petaflops of AI performance [1] — was announced as being in full production at Jensen Huang's CES 2026 keynote [2][3] and won the Computex 2026 Best Choice Golden Award [4][5]. The Vera CPU, an 88-core design delivering 1.2 TB/s of memory bandwidth in 256-chip liquid-cooled rack configurations [6], was hand-delivered to OpenAI, Anthropic, and other leading AI labs on May 18, 2026 [7]. NVIDIA's Q1 2026 financial results — $81.6B in revenue, up 85% year-over-year [8][9] — validated that AI infrastructure demand is tracking what Jensen Huang describes as 'parabolic' growth. Huang's May 18 keynote at Dell Technologies World [10] projected a $3–4 trillion AI infrastructure buildout by 2030 [11] and explicitly flagged memory supply chain constraints as the primary production bottleneck [12].

The platform's commercial footprint has rapidly expanded from partnership announcements into named, site-specific infrastructure commitments. Meta was confirmed as a Vera Rubin customer through a broad NVIDIA-Meta partnership formalized via an official NVIDIA press release [13]. Google Cloud deepened its NVIDIA partnership at GTC 2026 [14], publishing a dedicated Vera Rubin NVL72 systems guide [15]. Microsoft Azure published a strategic datacenter planning post enabling large-scale NVIDIA Rubin deployments [16], and cloud provider Nebius formalized its full-stack AI cloud partnership via SEC filing, targeting Vera Rubin NVL72 deployment in the US and Europe beginning H2 2026 [17][18]. Most significantly, European cloud provider Nscale — confirmed as the first European company to deploy NVIDIA Vera Rubin [19] — has announced two distinct Microsoft-facing deployments: delivery of 66,000+ Rubin GPUs to Microsoft at Start Campus in Portugal [20][21], and a 1.35GW flagship AI Factory Campus in West Virginia co-announced with Microsoft, NVIDIA, and Caterpillar [22]. The West Virginia project, which requires industrial power infrastructure coordination alongside GPU deployment, represents a new threshold in the scale of committed Vera Rubin buildout.

The dominant constraint on Vera Rubin deployment is a memory supply crisis that has become measurable in cost, supplier allocation, and timeline terms. Memory prices for the Vera Rubin rack have surged 485%, pushing HBM4 and LPDDR5x costs to approximately $2M of a total rack price reaching as high as $8.8 million [23][24]. Samsung sold out its entire 2026 HBM4 supply [25], SK Hynix holds approximately 70% of NVIDIA's HBM4 orders [26], and mass production was delayed into late Q1 2026 due to spec upgrades and strategy adjustments [27][28]. The shortage is projected to persist until 2028 [29]. A broader analysis characterizes NVIDIA as having executed 'strategic capacity capture' across the HBM memory market [30], with the entire memory market now being restructured around NVIDIA's demand [31].

The most contested factual question in the Vera Rubin story is Micron's HBM4 status. Multiple industry reports — including a dedicated Substack analysis [32] and a TechPowerUp piece [33] — maintain that NVIDIA designated Samsung and SK Hynix as Vera Rubin's sole HBM4 suppliers, with Micron excluded. However, Micron's official investor relations page directly contradicts this, stating Micron is in 'high-volume production of HBM4 designed for NVIDIA Vera Rubin' [34], announced via investor relations press release and promoted through company social channels heading into GTC 2026 [35][36]. A Tweaktown report adds a generational dimension: SK Hynix, Samsung, and Micron are all competing for NVIDIA supply contracts for next-generation 16-Hi HBM4 orders [37], suggesting even if Micron was not a primary supplier for initial 8-Hi Vera Rubin shipments, all three are actively competing for the next production cycle. This contradiction has not been resolved by any named party. On the CPU competitive front, analyst projections place NVIDIA on track to ship 4 million Vera CPUs in FY2027 and capture approximately two-thirds of the x86 server CPU market [38], while AMD has published a direct counter-narrative arguing that agentic AI favors EPYC architecture [39], and EnerTuition has argued NVIDIA may be 'on the verge of losing its GPU lead for a couple of generations' [40] — a thesis that has attracted no independent corroboration as the hyperscaler adoption wave expands.

Timeline

  • 2026-01-05: NVIDIA debuts Rubin chip at CES: 336 billion transistors, 50 petaflops AI performance [1]
  • 2026-01: Jensen Huang announces at CES 2026 keynote that Vera Rubin NVL72 is in full production [2][3]
  • 2026-01: HBM4 mass production reported as delayed to end of Q1 2026 due to spec upgrades and NVIDIA strategy adjustments; Samsung faces yield challenges delaying its HBM4 rollout [27][28][70]
  • 2026-02: SK Hynix begins early mass production of HBM4 and sets up shipments to NVIDIA for Vera Rubin; SK Hynix identified as holding approximately 70% of NVIDIA's HBM4 orders [59][60][26][64]
  • 2026-05-18: NVIDIA hand-delivers first Vera CPUs (88-core, 1.2 TB/s bandwidth, 6x throughput in 256-chip liquid-cooled rack) to OpenAI, Anthropic, and other leading AI labs [43][7][6]
  • 2026-05-18: Jensen Huang keynotes at Dell Technologies World: announces Vera Rubin NVL72 specs, projects $3–4 trillion AI infrastructure buildout by 2030, endorses Dell with 'Buy Dell' statement, and explicitly flags memory supply chain constraint [10][45][12][11][44]
  • 2026-05-20: Jensen Huang signs Dell PowerRack server on stage at Dell Technologies World [50][79]
  • 2026-05-21: NVIDIA reports Q1 2026 earnings: $81.6B revenue, up 85% year-over-year [8][9]
  • 2026-05-21: NVIDIA GTC Taipei at COMPUTEX: Vera Rubin NVL72, Jetson Thor, and Alpamayo autonomous driving platform detailed; Vera Rubin NVL72 wins Computex 2026 Best Choice Golden Award [42][4][5]
  • 2026-05-21: NVIDIA and Meta announce broad partnership via official NVIDIA press release; Meta confirmed as Vera Rubin customer [13][52][53][54]
  • 2026-05-21: Google Cloud deepens partnership with NVIDIA at GTC 2026; publishes dedicated Vera Rubin NVL72 systems guide [14][15]
  • 2026-05-21: Microsoft Azure publishes strategic AI datacenter planning post explicitly enabling large-scale NVIDIA Rubin deployments [16]
  • 2026-05: Nscale confirmed as first European company to deploy NVIDIA Vera Rubin; announces commitment to deploy 100,000+ GPUs via the Vera Rubin platform in 2027 [41][19]
  • 2026-05: Nscale announces delivery of 66,000+ NVIDIA Rubin GPUs to Microsoft at Start Campus in Portugal [20][21]
  • 2026-05: Nscale and Microsoft announce collaboration with NVIDIA and Caterpillar to deliver 1.35GW of NVIDIA Vera Rubin NVL72 GPUs at flagship AI Factory Campus in West Virginia [22][57]
  • 2026-05: Micron officially announces high-volume production of HBM4 designed for NVIDIA Vera Rubin via investor relations press release, contradicting industry reports of Micron exclusion [34][32][33]
  • 2026-05: Samsung sells out entire 2026 HBM4 supply; memory costs for Vera Rubin rack surge 485%, with rack prices reaching as high as $8.8 million [25][23][24][69]
  • 2026-05: Analyst projects NVIDIA on track to ship 4 million Vera CPUs in FY2027, potentially capturing two-thirds of x86 server CPU market (~$20B revenue) [38]
  • 2026-05: Nebius formalizes full-stack AI cloud partnership with NVIDIA via SEC filing; plans Vera Rubin NVL72 deployment in US and Europe from H2 2026 [17][18]
  • 2026-05: Reports emerge that Rubin GPU mass production targets have been lowered, attributed to memory supply chain constraints [80][81][82]
  • 2026-05: SK Hynix, Samsung, and Micron reported as competing for NVIDIA supply contracts for next-generation 16-Hi HBM4 orders [37]
  • 2026-06-01: NVIDIA GTC Taipei at COMPUTEX 2026 scheduled (June 1–5) [83]

Perspectives

NVIDIA / Jensen Huang

Maximally bullish: agentic AI demand is 'parabolic,' the Vera CPU and Vera Rubin NVL72 are generational leaps in inference economics, and Q1 2026 earnings ($81.6B, +85% YoY) validate the demand trajectory. Huang acknowledged memory supply chain constraints at Dell Technologies World. Official NVIDIA press releases confirm Meta, Google Cloud, Microsoft, and Nebius partnerships, and NVIDIA is named co-party in the Nscale-Microsoft West Virginia AI Factory. NVIDIA has not publicly addressed third-party reports that Rubin mass production targets have been lowered.

Evolution: Consistent bullish framing, now reinforced by the strongest earnings in company history and a rapidly expanding roster of hyperscaler and infrastructure commitments — including involvement in a 1.35GW industrial-scale deployment project.

[10][43][42][8][11][44][45][46][7][13][17][14][16][22]

Michael Dell / Dell Technologies

Aligned with NVIDIA's agentic AI vision; Dell AI Factory positioned as the primary enterprise on-premises channel for Vera Rubin NVL72. Co-presented with Jensen Huang at Dell Technologies World.

Evolution: Consistent endorsement, visibly deepened by Huang's public 'Buy Dell' statement and the hardware-signing moment on stage.

[47][48][49][50][51]

Meta

Confirmed as a Vera Rubin customer through a broad NVIDIA-Meta partnership formalized via official NVIDIA press release, signaling hyperscaler-level adoption at scale.

Evolution: Confirmed via official investor relations-level press release; the partnership is characterized as multi-billion and multi-year.

[13][52][53][54]

Google Cloud

Deepened its partnership with NVIDIA at GTC 2026 for AI infrastructure, confirming Vera Rubin platform alignment at the hyperscaler level and publishing a dedicated Vera Rubin NVL72 systems guide.

Evolution: Systems guide publication adds technical specificity to what was previously a partnership announcement.

[14][15]

Microsoft Azure / Microsoft

Published a formal Azure blog post on strategic AI datacenter planning enabling 'seamless, large-scale NVIDIA Rubin deployments,' and is the named end-customer for both Nscale's Portugal deployment (66,000+ GPUs) and the West Virginia 1.35GW AI Factory Campus.

Evolution: Significantly expanded from the initial Azure blog post: Microsoft is now named as the direct beneficiary of Nscale's two largest disclosed Vera Rubin deployments, revealing the depth of its Vera Rubin infrastructure commitment.

[16][20][21][22]

Nscale

Confirmed as the first European company to deploy NVIDIA Vera Rubin [19], and now a major infrastructure intermediary for Microsoft: delivering 66,000+ Rubin GPUs to Microsoft at Start Campus in Portugal [20][21], and co-developing a 1.35GW AI Factory Campus in West Virginia with Microsoft, NVIDIA, and Caterpillar [22].

Evolution: Dramatically expanded from a previously-announced 100,000+ GPU European commitment to a dual-continent infrastructure partner for Microsoft at industrial scale, including the first named site-specific GPU delivery figures and a gigawatt-class US campus commitment.

[41][55][20][56][21][19][22][57]

Nebius

Committed to deploying Vera Rubin NVL72 commercially in the US and Europe from H2 2026, with the partnership formalized via SEC filing as a full-stack AI cloud arrangement.

Evolution: Consistent with prior synthesis; SEC filing provides durable public record of the commitment.

[18][17]

Micron

Officially asserts high-volume production of HBM4 specifically designed for NVIDIA Vera Rubin, announced via investor relations press release and promoted through company social channels heading into GTC 2026 — directly contradicting reports of Micron's exclusion from the Vera Rubin supply chain.

Evolution: Consistent with prior synthesis; the Micron vs. exclusion-narrative contradiction remains unresolved.

[34][35][36]

Memory and supply chain analysts (SK Hynix reporting, TrendForce, TradingKey, Arc Compute, multiple)

Converge on HBM shortage as the binding structural constraint on Vera Rubin production. SK Hynix holds approximately 70% of NVIDIA's HBM4 orders. Samsung has sold out its 2026 HBM4 supply. Memory prices for the rack have surged 485%, with rack prices reaching $8.8M at the high end. The shortage is projected to persist until 2028. All three memory suppliers are reportedly competing for next-generation 16-Hi HBM4 orders regardless of initial allocation.

Evolution: Consistent with prior synthesis; the gigawatt-scale deployment commitments now documented (Portugal, West Virginia) increase the stakes of whether memory supply can support deployment timelines.

[26][27][58][59][60][61][62][28][63][64][65][29][66][67][68][25][23][24][69][37][31][30][70]

CPU market analysts (Tom's Hardware / industry forecasters)

Project NVIDIA is on track to ship 4 million Vera CPUs in FY2027 and capture approximately two-thirds of the x86 server CPU market (~$20B revenue), framing NVIDIA's CPU entry as a historic disruption of Intel and AMD's datacenter franchise.

Evolution: Consistent with prior synthesis; no new shipment projections this pass.

[71][72][73][38][6]

AMD

Published a corporate blog arguing that agentic AI changes the CPU/GPU equation in ways favorable to EPYC architecture, positioning AMD as a natural beneficiary of the agentic AI transition.

Evolution: Consistent with prior synthesis; no new AMD response to the expanded hyperscaler or Nscale-Microsoft Vera Rubin commitments has been published.

[39]

EnerTuition

Escalated contrarian position: argues not only that the Vera CPU vs. AMD EPYC contest is zero-sum, but that NVIDIA may be 'on the verge of losing its GPU lead for a couple of generations' — a significantly broader bearish thesis extending beyond CPU market competition to NVIDIA's core GPU franchise.

Evolution: Consistent with prior synthesis; the expanding hyperscaler and infrastructure adoption wave has not prompted a published response or revision, and the thesis remains without independent corroboration.

[74][75][40]

TrendForce

Agentic AI is structurally reshaping the CPU-to-GPU ratio in datacenter deployments, with agentic workloads requiring substantially more CPU capacity per GPU than traditional inference — providing an independent market research framing for the demand shift NVIDIA's Vera CPU is targeting.

Evolution: Consistent with prior synthesis.

[76][77]

Tensions

  • Micron's official investor relations press release states the company is in 'high-volume production of HBM4 designed for NVIDIA Vera Rubin' [34], while TechPowerUp [33] and a dedicated Substack analysis [32] maintain NVIDIA designated Samsung and SK Hynix as Vera Rubin's sole HBM4 suppliers with Micron excluded — two claims that are mutually incompatible unless they refer to different production generations (8-Hi vs. 16-Hi HBM4 [37]) or different levels of supplier allocation. [34][32][33][78][37]
  • NVIDIA markets Vera Rubin on a 10x cost-per-token reduction [10][42] — claims from NVIDIA's own materials — while real-world rack economics show a 485% memory price surge with rack prices reaching $8.8 million at the high end [23][24], and no independent benchmark from production hardware has yet appeared to validate the efficiency claims even as gigawatt-scale deployments are being announced. [10][42][23][24]
  • Analyst projections place NVIDIA on track for 4 million Vera CPU shipments in FY2027 and two-thirds x86 server market capture [38], while EnerTuition argues NVIDIA may be 'on the verge of losing its GPU lead for a couple of generations' [40] — two assessments of NVIDIA's hardware franchise trajectory that are irreconcilable, with no independent corroboration for the bearish GPU thesis even as the hyperscaler adoption wave expands to include industrial-scale infrastructure deals. [40][38][8][9]
  • NVIDIA's CPU market projections target two-thirds of x86 server CPU share with 4 million units in FY2027 [38], while AMD has published a direct counter-narrative claiming agentic AI favors EPYC architecture [39] — with the simultaneous announcements of Vera Rubin commitments by Google, Microsoft, Meta, and Nscale providing NVIDIA's side of the enterprise procurement test in real time. [38][39][14][16][13][22]

Sources

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