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Nvidia is making money from the chips built to replace it
Hardware2 min read

Nvidia is making money from the chips built to replace it

Its $3.5 billion MediaTek investment buys a promise: the custom accelerators MediaTek designs for hyperscalers will run on Nvidia's fabric, memory and racks.

In briefNVIDIA invested $3.5 billion in convertible bonds issued by MediaTek, and MediaTek will adopt NVLink Fusion1NVIDIA's own X post announcing the MediaTek expansion does not mention the investment2The NVLink Fusion platform includes the NVLink Fusion chiplet, NVLink-C2C to NVIDIA Rosa CPUs, and NVHBM3
Updated · Sep 11, 2026, 02:29 ETThis story was revised after publication. The sources block reflects the current version.
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Photo: Milky (CC BY-SA 3.0)

Nvidia has found a way to profit from the chips built to replace it.

On 31 August it announced it had bought $3.5 billion of convertible bonds from MediaTek, the Taiwanese firm that designs custom accelerators for cloud companies that would rather not buy Nvidia's own. In the same announcement, MediaTek agreed to build those accelerators on NVLink Fusion, which means they will plug into Nvidia's interconnect, sit in Nvidia's racks and, as of last month, use Nvidia's memory controller. The customer walks out of the GPU showroom and finds Nvidia holding the door.

Only one of those two facts made it into Nvidia's post on X, which talked about "expanding our work" with MediaTek. The investment is in the press release.

What a rival chip still has to rent

NVLink Fusion is everything around the part a hyperscaler wants to design itself. Nvidia says its sixth-generation NVLink joins 72 accelerators with a third of the latency of off-the-shelf Ethernet. NVLink-C2C connects the chip to the CPU at what Nvidia rates as six times the energy efficiency of PCIe. Then come the racks, the cooling, the switch trays and the software that schedules the whole thing.

Since 26 August there is memory too. NVHBM moves Nvidia's memory controller off the accelerator and into the memory stack, which Nvidia says frees up to a quarter of the chip's area for compute. Amazon's chip unit, Annapurna Labs, is the first taker and will support NVLink Fusion from Trainium4.

Why MediaTek is the right partner to pay

MediaTek's own executive gave the game away a week before the money arrived. Vince Hu, who runs its data-centre business, said customers "can deploy their rack-level solution with the NVIDIA GPU, and then they can decouple the development of their XPU and put it at a different pace." Buy the rack first. Bring your own silicon later. Nvidia is paid at both ends.

So who is paying whom? The convertible is the price of a preference. When a hyperscaler goes looking for a team to build its custom chip, Nvidia wants the team that answers to have built its whole flow around NVLink, and it wants a claim that turns into equity if that works. Broadcom, which designs the same kind of chips and has no fabric of its own to sell, is the company that has to respond.

The fair objection

A toll road is still cheaper than a wall. NVLink Fusion makes it easier, not harder, to run something other than an Nvidia GPU, and the partners around it, Intel's data-centre silicon group among them, are not captives. Nvidia's own pitch is that operators can commit to buildings and power now and "defer the precise silicon mix". That freedom is worth paying for, and Nvidia has decided it would rather sell it than fight it.

Watch for a named hyperscaler chip built with MediaTek on NVLink Fusion by the end of 2027. If the only one anyone can point to is still Trainium4, the $3.5 billion bought an option, not a business.

Sources

01
NVIDIA invested $3.5 billion in convertible bonds issued by MediaTek, and MediaTek will adopt NVLink Fusion“As part of the expanded collaboration, MediaTek will adopt the NVIDIA NVLink Fusion™ platform to provide hyperscalers, cloud service providers and frontier model developers with a prevalidated path to develop custom XPUs and bring them…” — nvidianews.nvidia.com · primary · Sep 10
02
NVIDIA's own X post announcing the MediaTek expansion does not mention the investment“We’re excited to expand our work with @MediaTek. 🤝 AI factories will be built around differentiated compute — but custom silicon needs a path from chip design to production-scale systems. With MediaTek adopting NVIDIA NVLink Fusion,…” — x.com · primary · Sep 10
03
The NVLink Fusion platform includes the NVLink Fusion chiplet, NVLink-C2C to NVIDIA Rosa CPUs, and NVHBM“NVIDIA NVLink-C2C , providing high-bandwidth, energy-efficient connectivity between XPUs, NVIDIA Rosa CPUs and other compatible processors. NVIDIA NVHBM , integrating customized memory capabilities to increase bandwidth and energy…” — nvidianews.nvidia.com · primary · Sep 10
Show all 11 sources
04
Sixth-generation NVLink spans a 72-XPU domain with 3x lower XPU-to-XPU latency and 10x the packet rate of off-the-shelf Ethernet, and NVLink-C2C offers up to 6x the energy efficiency of PCIe“Sixth-generation NVLink provides leading high-bandwidth, low-latency networking across a 72-XPU domain. The end-to-end latency for XPU-to-XPU transfers is 3x lower than alternative solutions based on off-the-shelf Ethernet, and the…” — blogs.nvidia.com · primary · Sep 10
05
NVHBM integrates NVIDIA's memory controller into the HBM base die, delivering up to 30% greater memory bandwidth, 15% lower HBM power and up to 25% more area on the XPU compute die versus standard HBM4E“Traditional HBM architectures place the memory controller on the XPU die, consuming valuable silicon area that could otherwise be dedicated to compute. NVHBM, built on the same technology that NVIDIA will use for future GPUs, integrates…” — blogs.nvidia.com · primary · Sep 10
06
Amazon's Annapurna Labs is the first NVHBM partner and will support NVLink Fusion starting with Trainium4“Amazon's Annapurna Labs will be the first to work on NVHBM as part of its broader collaboration with NVIDIA around NVLink Fusion. ... Annapurna Labs will support NVLink Fusion with its next-generation Trainium chips starting with Trainium4” — blogs.nvidia.com · primary · Sep 10
07
MediaTek's Vince Hu describes NVLink Fusion as letting customers deploy the rack with NVIDIA GPUs and decouple XPU development“"The value of the NVLink Fusion program is … [customers] can deploy their rack-level solution with the NVIDIA GPU, and then they can decouple the development of their XPU and put it at a different pace," said Vince Hu, corporate senior…” — blogs.nvidia.com · primary · Sep 10
08
NVIDIA argues operators can commit buildout while deferring the precise silicon mix“Operators can move forward with buildout while deferring the precise silicon mix, then reprovision capacity as workload demand, silicon supply and business priorities change.” — blogs.nvidia.com · primary · Sep 10
09
Intel's data centre silicon engineering group is part of the NVLink Fusion ecosystem“"NVLink Fusion gives customers the ability to choose the CPU architecture, the performance level, the software capabilities that best meet their needs for the workloads that they care about," said Tim Wilson, vice president and general…” — blogs.nvidia.com · primary · Sep 10
10
A conventional EUV exposure field is 26x33 mm, which bounds a single reticle-limited die at about 858 square millimetres“Conventional 0.33-NA EUV has 4X magnification in both directions, enabling the familiar 26×33 mm exposure field with traditional 6-inch photomasks.” — tomshardware.com · reported · Sep 10
11
Jensen Huang's quote on the MediaTek partnership“"AI is transforming every computing platform — from the world's largest AI factories to the PC and the car," said Jensen Huang, founder and CEO of NVIDIA. "MediaTek is one of the world's great semiconductor companies, with exceptional…” — nvidianews.nvidia.com · primary · Sep 10
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