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d-Matrix's Raptor to ride NVLink Fusion into Nvidia racks by 2027

d-Matrix's Raptor to ride NVLink Fusion into Nvidia racks by 2027

3 Key Points

  1. What happened

    Reuters reported September 10 that inference-chip startup d-Matrix will use Nvidia's NVLink Fusion to connect its next-generation Raptor processors directly into Nvidia data-center racks, with systems expected in 2027.

  2. Why it matters

    Nvidia shifts from selling every GPU to controlling the rack standard, since NVLink can gain value even when rivals' XPUs plug in — at the cost of some GPU unit share if inference stays heterogeneous.

  3. What to watch

    The test is whether more accelerators and memory pools translate into real demand for Astera's retimers and fabric switches, rather than just design wins. Watch ALAB's roughly 6.6% short interest as of August 14 against Nvidia's about 1.2%.

WHO IT HITSEnterprise IT teams planning AI data-center racks gain an option to mix non-Nvidia accelerators inside Nvidia-designed systems, while connectivity suppliers like Astera Labs take on more integration work. Nvidia's GPU unit-share position may soften even as it holds the rack standard, though that reading is an inference from the body's bear case.

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Context & Analysis

The arrangement Reuters described on September 10 is unusual because Nvidia is making it easier for a competitor's accelerator to sit inside its own rack design. Under NVLink Fusion, d-Matrix's next-generation Raptor processors connect directly into Nvidia data-center racks, with the systems expected in 2027. That splits the work three ways: d-Matrix supplies the accelerator, Nvidia supplies the rack-scale interconnect technology and architecture, and Astera Labs works on custom connectivity to move data between components.

For Nvidia, the bull case is that NVLink becomes more valuable even when it does not sell every accelerator, shifting the company from merely dominating GPUs toward controlling a system standard — the economics of owning the highway rather than building every vehicle on it. The bear case is that easier deployment of alternatives could cost Nvidia some GPU unit share if inference workloads become more heterogeneous. For Astera, more accelerators, memory pools, CPUs and switches create more connectivity bottlenecks, which is where its retimers and fabric switches come in, though its valuation already assumes substantial AI infrastructure growth.

Hedge-fund positioning leaned bullish into Q2, with tracked holdings in Astera rising to 73 funds from 53 and Nvidia to 285 from 275. Short interest cut the other way for Astera at roughly 6.6% of float on August 14 versus about 1.2% for Nvidia, even as ALAB shorts fell from the prior period. The near-term test is whether these design wins turn into shipped systems by 2027 and steady connectivity demand, or stall on design delays or hyperscaler concentration.

FAQ
When will these systems be available?
The systems are expected to become available in 2027, according to Reuters.
What does Astera Labs do in this setup?
Astera Labs is working with d-Matrix on custom connectivity solutions to move data rapidly across the system.
How bullish are hedge funds on Astera Labs?
Insider Monkey tracked 73 hedge funds in ALAB in Q2, up from 53 in Q1, while Nvidia rose to 285 from 275.
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