NVIDIA Rubin SXM vs NVIDIA Vera Rubin Superchip
The Vera Rubin delivers 2.0x the FP8 throughput of the Rubin (35,000 vs 17,500 TFLOPS dense). The Vera Rubin also carries 288 GB more memory (576 GB vs 288 GB).
NVIDIA Rubin SXM
Full specs →NVIDIA Vera Rubin Superchip
Full specs →Specifications
Performance (TFLOPS)
FLOPS by Precision
What actually differs
Both GPUs launched in 2026: the Rubin on Rubin and the Vera Rubin on Rubin.
Dense throughput for the Rubin against the Vera Rubin: FP64 33 vs 67 TFLOPS, FP32 130 vs 260 TFLOPS, FP16 4,000 vs 8,000 TFLOPS, FP8 17,500 vs 35,000 TFLOPS. Sparse figures, where the vendor publishes them, appear under each dense number in the performance table.
Memory is 288 GB against 576 GB, fed at 22.0 TB/s versus 44.0 TB/s. More memory per GPU means larger models fit before you have to shard across cards, which often matters more than raw TFLOPS for inference.
For LLM training and inference, weight the FP8 and FP16 rows and memory capacity most heavily. For scientific and HPC workloads, the FP64 row is the one to read.
Frequently asked questions
Is the Rubin faster than the Vera Rubin?
At FP8 precision the Vera Rubin reaches 35,000 TFLOPS dense against 17,500 TFLOPS for the Rubin. The performance table on this page lists every published precision for both GPUs.
Which has more memory, the Rubin or the Vera Rubin?
The Vera Rubin carries 576 GB of VRAM versus 288 GB for the Rubin. Memory bandwidth is 22.0 TB/s for the Rubin and 44.0 TB/s for the Vera Rubin.
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