Blackwell to dominate GPUs
TrendForce now expects Nvidia’s Blackwell architecture to make up more than 70% of high-end AI GPU shipments in 2026, effectively extending demand for current-generation systems. That concentration raises supply-chain stress around components like HBM4 and reduces buyers’ ability to wait for rival architectures. (communicationstoday.co.in) (coincentral.com)
Nvidia’s newest artificial intelligence chips are turning into the default choice for next year’s biggest data-center builds, and TrendForce now says the Blackwell family will take 71% of Nvidia’s high-end graphics processing unit shipments in 2026, up from 61% before. TrendForce also says the combined share of the older Hopper line and the future Rubin line will shrink as geopolitics and supply-chain shifts push buyers toward what can ship now. (trendforce.com) A graphics processing unit is the engine that trains and runs large artificial intelligence models, and Nvidia sells the most sought-after versions for that job. Blackwell is the current architecture inside systems like the GB200 rack, while Hopper is the previous generation and Rubin is the next one still ahead. (nvidia.com) (trendforce.com) Blackwell is not just one chip on a board. Nvidia’s GB200 NVL72 system ties together 72 Blackwell graphics processing units and 36 Grace central processing units in one liquid-cooled rack, and Nvidia says that rack can behave like one giant machine for trillion-parameter model inference. (nvidia.com) That rack-scale design changes the buying decision. A cloud company choosing Blackwell is not only buying chips, but also buying cooling gear, networking, power delivery, and software built around one Nvidia system shape. (nvidia.com) (docs.nvidia.com) The squeeze point is memory. High Bandwidth Memory is a stack of memory chips sitting next to the processor like a pantry beside a restaurant stove, and newer Blackwell systems need huge amounts of it to keep expensive processors from waiting around idle. (micron.com) (skhynix.com) That is why HBM4 matters. SK hynix says it finished development and mass-production preparations for HBM4 in September 2025, and Micron now says it is already in high-volume production of a 36-gigabyte HBM4 part aimed at next-generation artificial intelligence platforms. (skhynix.com) (micron.com) When one chip family becomes the standard, the memory vendors get pulled into the same lane. TrendForce said in August 2024 that Nvidia’s share of High Bandwidth Memory procurement was expected to exceed 70% as Blackwell products ramped, which gave an early hint that Blackwell demand would also reshape the memory market around it. (trendforce.com) The other part of this story is timing. Nvidia already has the GB300 NVL72 on its site as a Blackwell Ultra system for reasoning workloads, while TrendForce says Rubin faces delay risks, so buyers looking at 2026 capacity have less reason to wait for the next architecture and more reason to lock in the current one. (nvidia.com) (trendforce.com) That makes the market look less like a normal chip cycle and more like an airport with one gate open. If Blackwell racks, High Bandwidth Memory supply, and liquid-cooled data-center capacity all line up around the same schedule, the customers that move first get hardware, and the customers that wait may get pushed into a longer queue. (trendforce.com) (nvidia.com) TrendForce separately expects global artificial intelligence server shipments to grow by more than 20% in 2026, so this is happening in a market that is still expanding fast rather than slowing down. A bigger market with one dominant platform usually means more spending on the same supply bottlenecks, not less. (trendforce.com)
