Significant breakthroughs in artificial intelligence computing technology are reflected in NVIDIA’s newest GPU, the Blackwell Ultra. Meant to propel the next era of the AI factory, it combines high-end silicon engineering, significant memory bandwidth, and better precision computing, all purposefully constructed to meet the demanding criteria of real-time, large-scale artificial intelligence inference.
The major innovation of NVIDIA Blackwell Ultra is its two dies made by TSMC using their 4 NP process, linked through NVIDIA’s proprietary Reach an amazing internal bandwidth of 10 TB/s with NV-HBI interconnect. Operating as a unified GPU under CUDA with about 208 billion transistors, 2.6 times the amount seen in Hopper, its predecessor, this design guarantees that developers will stay familiar with the platform.
NVIDIA Blackwell Ultra’s computational architecture has 160 Streaming Multiprocessors (SMs), each fitted with NVIDIA CUDA cores, fifth-generation Tensor Cores, substantial tensor memory blocks, and dedicated function units. Designed to speed up AI-specific tasks, (SFUs) highly efficient TMEM integration helps to produce a startling 15 petaFLOPS of dense NVFP4 compute performance.
One especially interesting element of NVIDIA Blackwell Ultra is the NVFP4 accuracy format, a new 4-bit floating-point system that provides near-FP8 precision while lowering memory use by up to 3.5 times. It significantly enhances both inference throughput and energy efficiency with 1.5 times the floating-point performance of past Blackwell models and 7.5 times that of Hopper.
The computational power of attention layers in NVIDIA Blackwell Ultra has also considerably improved. Transformer-style softmax processes are much faster with doubled SFU throughput, hence lowering latency and enabling more affordable reasoning for big, content-rich artificial intelligence systems.
With 288 GB of HBM3e memory, a big improvement from prior versions, the Blackwell Ultra’s memory architecture features bandwidth. ideal for trillion-parameter models and extensive context inference, reaching up to 8 TB/s. Another important component in NVIDIA Blackwell Ultra is connectivity, which enables rack by helping PCIe Gen 6, NVLink5, and NVLink-C2C and supporting PCIe Gen 6, NVLink5, and NVLink-C2C, therefore enabling scalable, consistent connections with CPUs and other GPUs.
