NVIDIA RTX 4070 Ti lastly official
At present NVIDIA launched its third and least costly RTX 40 desktop GPU thus far.
NVIDIA RTX 4070 Ti specs and value, Supply: NVIDIA
The RTX 4070 Ti is a high-end GPU that provides as much as 40 TFLOPs of computing efficiency. This card relies on AD104 GPU with 7680 CUDA cores, which is the precise configuration of this graphics processor. The cardboard is provided with 12GB of GDDR6X reminiscence operating at 21Gbps. Because the GPU is related to a 192-bit reminiscence bus, the utmost bandwidth will likely be restricted to 504 GB/s; that is truly 104GB/s slower than its predecessor, the RTX 3070 Ti.
The NVIDIA 4070 Ti will solely be launched as a accomplice card, which implies it is not a Founder’s Version, however the above course of might point out in any other case. Virtually each RTX 4070 Ti board that has ever leaked or revealed has three followers and a 2 to three.5 slot cooling design. Nonetheless, that ought to be greater than sufficient for a 285W TDP.
NVIDIA RTX 4070 Ti customized playing cards, Supply: NVIDIA
It is a third desktop board primarily based on the Ada Lovelace structure and third Ada GPU to be introduced following the AD102 (RTX 4090) and AD103 (RTX 4080). All the identical processing relies on the TSMC 4N customized processing node. The AD104 GPU can have about 10B transistors lower than the AD103 (35.8B whole) and the die measurement will likely be about 295 mm².
Reviewers will launch check outcomes tomorrow, whereas the cardboard will go on sale on January 5. The $799 MSRP will apply to the most affordable fashions at launch, particularly playing cards that do not supply manufacturing facility overclocking.
| NVIDIA GeForce RTX 40 Sequence Options | |||
|---|---|---|---|
| VideoCardz.com | GeForce® RTX 4090 | GeForce RTX 4080 | GeForce RTX 4070 Ti |
| Image |  |
|
 |
| Dashboard-SKU | PG136-SKU330 | PG136-SKU360 | PG141-SKU331 |
| Architectural | Island (TSMC 4N) | Island (TSMC 4N) | Island (TSMC 4N) |
| GPU | AD102-300 | AD103-300 | AD104-400 |
| GPU Transistors | |||
| GPU Die Measurement | |||
| SMS | |||
| CUDA Cores | |||
| Acceleration Clock | |||
| FP32 Calculation | |||
| Reminiscence | |||
| Reminiscence Bus | |||
| Reminiscence Pace | |||
| Band width | |||
| Default TGP | |||
| MSRP | |||
| Launch date | 12 October 2022 | 16 November 2022 | January 5, 2023 |
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