The NVIDIA HGX B300 is a current-generation GPU platform engineered for the demands of modern AI infrastructure. It delivers meaningful gains in training throughput, inference latency, and memory bandwidth over previous generations.
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Choose from validated HGX B300 platforms built for production AI. Each system is ready to deploy and optimized for high-density GPU environments.
At the core of each system is the NVIDIA HGX B300 8-GPU baseboard. It is the foundation of current-generation Blackwell infrastructure, purpose-built for sustained performance at scale.
Eight NVIDIA Blackwell GPUs per node, delivering the compute density needed for large-scale training and inference.
Fast GPU-to-GPU interconnect for efficient distributed training and minimal communication overhead.
Optimized for both distributed model training and real-time production inference workloads.
Built for 24/7 sustained operation in production environments with enterprise reliability requirements.
Train foundation models, fine-tune open-source LLMs, and run large-scale distributed training jobs. The B300 platform provides the memory bandwidth and interconnect speed needed to keep GPU utilization high across multi-node runs.
Serve models in production with the throughput and latency profile your application demands. The HGX B300 handles real-time inference for LLMs, vision models, and multi-modal pipelines at scale.
Run compute-intensive simulations, molecular dynamics, climate modeling, and other HPC workloads that benefit from dense GPU compute and high memory bandwidth.
