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Latest about Nvidia

Rumor: Nvidia has 'essentially killed off' RTX 5070 Ti and 5060 Ti 16GB GPU
By Darren Allan published
You might want to move fast to grab a mid-range GPU, if you're after an Nvidia card, that is.

Nvidia could pivot away from RTX 5070 Ti and 5060 Ti 16GB to favor 8GB GPUs
By Darren Allan published
Nvidia rumor suggests a focus on 8GB GPUs in the near future, with the RTX 5060 Ti 16GB sidelined in favor of its lesser sibling.

Time to stop whining about 'fake frames' — Nvidia’s frame-gen is here to stay
By Christian Guyton published
"Computing has been fundamentally reshaped" — Nvidia wants you to stop complaining about 'fake frames' in games, and for once I actually kind of agree with Team Green.

5 biggest fails that got a company or product a disparaging nickname
By Darren Allan published
Microslop is a fresh nickname for Microsoft coined by those who feel the company is pushing AI too hard – but will it stick?

Nvidia's latest RTX 5090 GPU card has an audio jack — yes a headphone socket, on a video card, but no wooden trim or SSD like its predecessor
By Wayne Williams published
The Asus ProArt RTX 5090 targets creative professionals with its compact dimensions, 32GB of GDDR7 memory, and an unexpected audio jack.

The battle of the SuperPods: Nvidia challenges Huawei with Vera Rubin powered DGX cluster that can deliver 28.8 Exaflops with only 576 GPUs
By Efosa Udinmwen published
CES 2026 Nvidia’s Rubin DGX SuperPOD delivers 28.8 Exaflops using 576 GPUs, combining compute, memory, and software to rival Huawei’s SuperPOD.

Nvidia’s next-generation RTX 60 series GPUs rumored to be on track to launch next year
By Matt Hanson published
Nvidia’s next gen RTX 60 GPUs could arrive just in time for GTA 6’s PC port – but could the RAM apocalypse cause problems?

Nvidia quietly launches free software update for its AI mini PC which turns it into an external AI accelerator for Apple's MacBook Pro
By Wayne Williams published
CES 2026 Nvidia plans a major software update that will expand DGX Spark’s role in local AI workloads.
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