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NVIDIA plans to bring RTX 3080 Ti and RTX 3070 Ti to laptops as an answer to Intel’s Alchemist lineup

Reports are that NVIDIA is currently in the works of developing two new mobile GPUs for laptops. One of them is stated to be the recently rumored GeForce RTX 3080 Ti, and now it seems that we have the information related to the new GA104 silicon which has been uncovered on the PCI Device ID database.

According to sources, a comment from the user Faintsnow on the PCI Device ID database site about a specific ID that appeared, ID 24A0, is referring to an NVIDIA mobile GPU, the NVIDIA GN20-E6.

It is being believed that the GN20-E6 is the moniker given to the NVIDIA GeForce RTX 3070 Ti Laptop GPU and the green team’s new Laptop GPU is currently not listed with the remainder of the NVIDIA Ampere family.

If we believe this information then we can assume that NVIDIA is planning on manufacturing RTX 3080 Ti and RTX 3070 Ti GPUs for mobile devices, such as laptops and notebooks, and they will be offering core counts the non-Ti models.

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NVIDIA’s RTX 3080 Ti is also reported to use a newer graphics processor, the GA103, and it will have as high as 7680 CUDA cores. NVIDIA seems to be stepping up its game as this new development has appeared after the release of the launch timeframe for the next-gen Intel Arc Alchemist graphics processors, which are to appear as early as the first quarter of next year.

The Alchemist 512 EU chip is expected to measure at around 396mm2 which makes it bigger than the AMD RDNA 2 and NVIDIA Ampere offerings. The Alchemist -512 GPU will come in the BGA-2660 package which measures 37.5mm x 43mm. NVIDIA’s Ampere GA104 measures 392mm2 which means that the flagship Alchemist chip is comparable in size while the Navi 22 GPU measures 336mm2 or around 60mm2 less.

NVIDIA GeForce RTX 30 Mobility GPU Lineup:

GPU NameNVIDIA GeForce RTX 3050NVIDIA GeForce RTX 3050 TiNVIDIA GeForce RTX 3060NVIDIA GeForce RTX 3070NVIDIA GeForce RTX 3070 TiNVIDIA GeForce RTX 3080NVIDIA GeForce RTX 3080 Ti
Process NodeSamsung 8nmSamsung 8nmSamsung 8nmSamsung 8nmSamsung 8nmSamsung 8nmSamsung 8nm
GPU SKUGA107GA107GA106GA104-770GA104?GA104-775GA103?
SMs16203040TBA48TBA
CUDA Cores2048256038405120TBA6144TBA
Base Clock1057 MHz1035 MHz1283 MHz1290 MHzTBA1245 MHzTBA
Boost Clock1740 MHz1695 MHz1703 MHz1620 MHzTBA1710 MHzTBA
Memory Clock11 Gbps11 Gbps12 Gbps12 GbpsTBA12 GbpsTBA
Memory TypeGDDR6GDDR6GDDR6GDDR6GDDR6GDDR6GDDR6
Memory Size4 GB4 GB6 GB8 GB8 GB8/16 GBTBA
Memory Bus128-bit128-bit192-bit256-bit256-bit256-bitTBA
Bandwidth176 GB/s176 GB/s288 GB/s384 GB/sTBA384 GB/sTBA
TGP35-95W35-95W60-115W80-125WTBA80-150W+TBA
ConfigurationsMax-Q
Max-P
Max-Q
Max-P
Max-Q
Max-P
Max-Q
Max-P
TBAMax-Q
Max-P
TBA
LaunchQ2 2021Q2 2021Q1 2021Q1 2021Q1 2022?Q1 2021Q1 2022?

source

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Nivedita Bangari
Nivedita Bangari
I am a software engineer by profession and technology is my love, learning and playing with new technologies is my passion.
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