NVIDIA announces workstation RTX 4000 SFF ADA desktop GPU and five mobile SKUs

Published: Mar 21st 2023, 16:26 GMT   Comments

NVIDIA RTX 4000 ADA and mobile update

At GTC 2023 NVIDIA announced an update to its workstation GPU series.

The RTX Ada is a codename for the NVIDIA workstation GPU series. Today NVIDIA has unveiled as many as five mobile GPUs following the launch of its gaming GeForce RTX 40 series last month.

RTX 4000 ADA SFF, Source: NVIDIA

More importantly, there is an update to the desktop RTX series as well, in a form of RTX 4000 ADA SFF (Small Form Factor) professional GPU. This card is equipped with 6144 CUDA cores, 192 Tensors and 48 RT cores. It offers up to 19.2 TFLOPS of compute in single-precision workloads and up to 306.8 TFLOPS in Tensor-based tests.

This dual-slot design is a small “half height” card with a single fan. It does not require any external power connectors because the TDP has been set to only 70W. The memory specs are 20GB GDDR6 across a 160-bit interface with a memory clock at 16 Gbps. The specs indicate this is an AD104 based card. According to NVIDIA, this card will launch at $1250.

RTX 4000 ADA SFF, Source: NVIDIA

In the mobile GPU space, NVIDIA has five new workstation models: RTX 5000, 4000, 3500, 3000 and 2000. The specs are more or less a copy of the RTX 40 gaming series, with two exceptions: the RTX 3500 has 5120 CUDA cores, a configuration which was not available with consumer models.

Furthermore, there is no 2560 CUDA card, so the lowest AD107 specs will only be part of the RTX 40. The maximum TGP reported is 175W, but each card can be configured to operate up to 140W.

NVIDIA RTX ADA Workstation GPUs
VideoCardz.comRTX 5000 ADARTX 4000 ADARTX 3500 ADARTX 3000 ADARTX 2000 ADA
CUDA Cores97287424512046083072
RT Cores7656403624
Tensor Cores30423216014496
Boost Clock2.19 GHz2.26 GHz2.25 GHz2.16 GHz2.36 GHz
Memory16GB GDDR612GB GDDR612GB GDDR68GB GDDR68GB GDDR6
Memory Bus256-bit192-bit192-bit128-bit128-bit
Bandwidth576 GB/s432 GB/s432 GB/s256 GB/s256 GB/s
TGP80W-175W60W-175W60W-140W35W-140W35W-140W
FP32 Compute42.6 TFLOPS33.6 TFLOPS23.0 TFLOPS19.9 TFLOPS14.5 TFLOPS
Tensor Performance681.8 TFLOPS538.0 TFLOPS368.6 TFLOPS318.6 TFLOPS231.6 TFLOPS
RT Core Performance98.5 TFLOPS77.8 TFLOPS53.3 TFLOPS46.0 TFLOPS33.5 TFLOPS

Source: NVIDIA




Comment Policy
  1. Comments must be written in English and should not exceed 1000 characters.
  2. Comments deemed to be spam or solely promotional in nature will be deleted. Including a link to relevant content is permitted, but comments should be relevant to the post topic. Discussions about politics are not allowed on this website.
  3. Comments and usernames containing language or concepts that could be deemed offensive will be deleted.
  4. Comments complaining about the post subject or its source will be removed.
  5. A failure to comply with these rules will result in a warning and, in extreme cases, a ban. In addition, please note that comments that attack or harass an individual directly will result in a ban without warning.
  6. VideoCardz has never been sponsored by AMD, Intel, or NVIDIA. Users claiming otherwise will be banned.
  7. VideoCardz Moderating Team reserves the right to edit or delete any comments submitted to the site without notice.
  8. If you have any questions about the commenting policy, please let us know through the Contact Page.
Hide Comment Policy
Comments