Technical Specifications
architecture
NVIDIA Blackwell
gpu memory
192GB HBM3e
memory bandwidth
Up to 8 TB/s
tensor cores
5th Generation
transformer engine
2nd Generation
precision
FP4, FP8, FP16, BF16, TF32, FP32
interconnect
NVLink 5.0
cuda
CUDA Compatible
deployment
HGX B200, DGX B200, Enterprise GPU Servers, AI Clusters
ideal workloads
Large Language Models (LLMs), Generative AI, AI Training, AI Inference, Deep Learning, Machine Learning, High Performance Computing (HPC), Computer Vision, Natural Language Processing, Scientific Computing, Data Analytics, Financial Modeling, Drug Discovery, Cloud AI Infrastructure
software
CUDA, TensorRT, NCCL, NVIDIA AI Enterprise, Triton Inference Server, NeMo
Overview
The NVIDIA B200 Tensor Core GPU, built on the revolutionary NVIDIA Blackwell architecture, is designed to power the next generation of artificial intelligence, generative AI, large language models (LLMs), high-performance computing (HPC), and enterprise cloud infrastructure. It delivers breakthrough AI performance with 5th Generation Tensor Cores, FP4 precision, massive HBM3e memory, and next-generation NVLink connectivity for unmatched scalability and efficiency. The Blackwell architecture introduces significant advances in AI inference and training, including native FP4 support and much larger HBM3e memory capacity.
Featuring up to 192GB of ultra-fast HBM3e memory and approximately 8 TB/s memory bandwidth, the NVIDIA B200 enables organizations to run larger AI models, process massive datasets, and accelerate training and inference workloads with significantly higher throughput than previous generations. It is engineered for hyperscale AI factories, enterprise datacenters, cloud service providers, research organizations, and mission-critical AI deployments.
The B200 is optimized for today's most demanding workloads, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Generative AI, recommendation systems, AI agents, computer vision, natural language processing, scientific simulations, drug discovery, financial modeling, and enterprise analytics. Its advanced Transformer Engine dynamically utilizes FP4, FP8, FP16, and BF16 precision to maximize AI performance while reducing memory usage and power consumption.
Whether deployed as a standalone GPU server or integrated into multi-GPU HGX and DGX clusters, the NVIDIA B200 provides exceptional scalability using next-generation NVLink technology, enabling organizations to build high-performance AI infrastructure capable of supporting trillions of AI parameters and enterprise-scale AI services.
Designed for future-ready AI infrastructure, the NVIDIA B200 offers industry-leading compute density, improved energy efficiency, enterprise reliability, and seamless integration with the NVIDIA AI software ecosystem, including CUDA, TensorRT, NCCL, NVIDIA AI Enterprise, Triton Inference Server, and NeMo frameworks.
The NVIDIA B200 is the ideal choice for organizations building AI factories, cloud AI platforms, research supercomputers, enterprise AI clusters, and high-performance computing environments where maximum performance, scalability, and reliability are essential.
Frequently Asked Questions
What is the NVIDIA B200 GPU used for?
The NVIDIA B200 is designed for enterprise AI, Large Language Models (LLMs), deep learning, AI inference, generative AI, HPC, scientific computing, and cloud AI infrastructure.
How much memory does the NVIDIA B200 have?
The NVIDIA B200 features up to 192GB of HBM3e memory with approximately 8TB/s memory bandwidth, enabling extremely large AI models and high-performance computing workloads
Which architecture powers the NVIDIA B200?
The NVIDIA B200 is built on NVIDIA's Blackwell architecture featuring 5th Generation Tensor Cores, FP4 AI acceleration, and NVLink 5.0 interconnect technology.
Can the NVIDIA B200 be used for Large Language Models?
Yes. The NVIDIA B200 is specifically optimized for training and inference of Large Language Models (LLMs), Generative AI applications, Retrieval-Augmented Generation (RAG), AI agents, and enterprise AI deployments.
Does GPUWorld supply NVIDIA B200 GPU servers?
Yes. GPUWorld provides NVIDIA B200 GPU servers, AI infrastructure design, rack integration, deployment, installation, and enterprise support for AI, HPC, and cloud computing environments.
