B300
B300 is a NVIDIA GPU based on the Blackwell Ultra SM100+ architecture, first released in 2025.
Built from BenchGecko data as of April 14, 2026 · updates when the data changes
B300 is a NVIDIA GPU based on the Blackwell Ultra SM100+ architecture, first released in 2025.
Basic
The NVIDIA Blackwell Ultra B300 is an AI GPU made by NVIDIA, codenamed Blackwell Ultra. Peak throughput is 2,500 TFLOPS at FP16/BF16 and 5,000 TFLOPS at FP8. It carries 288 GB of HBM3e with 8 TB/s of memory bandwidth. Rated power (TDP) is 1,400 W. It is built on N4P at TSMC.
Deep
In the BenchGecko dataset it sits in the frontier tier: current-generation flagship silicon shipping at scale to hyperscalers. It follows the B200. Specs come from manufacturer datasheets; the spec card on this page shows the dataset values and their as-of date.
Expert
That is 1.79 FP16 TFLOPS per watt. Memory bandwidth per unit of compute is 3.2 GB/s per FP16 TFLOP: a higher ratio helps memory-bound inference, while peak TFLOPS matter more for compute-bound training. Fabrication: Taiwan. Real throughput depends on the model, precision, batch size and software stack, so compare tokens per second per dollar for your own workload.
Depending on why you're here
- ·B300: 2,500 TFLOPS FP16/BF16 · 5,000 TFLOPS FP8
- ·Process: N4P at TSMC
- ·Tier: frontier
- ·288 GB of HBM3e per chip
- ·No public cloud listing for B300 in the dataset
- ·Compare it with other chips on /hardware/b300
- ·NVIDIA · fabbed at TSMC
- ·Supply tightness is tracked on /hardware
- ·B300 is a chip built to run AI, made by NVIDIA
- ·It has 288 GB of fast memory so large models fit
- ·Companies buy or rent these to train and serve AI models
Frequently Asked Questions
Read the primary sources
- Blackwell Ultra announcementnvidianews.nvidia.com