NVIDIA HGX B300
The NVIDIA HGX B300, powered by NVIDIA Blackwell Ultra, is a premier accelerator designed to handle demanding AI and high-performance computing workloads.

Accelerated performance for AI inference
MORE COMPUTE*
MORE COMPUTE*
Fifth-generation NVIDIA Tensor Cores with theNVFP4 precision format deliver 15 petaFLOPS of dense compute per GPU, a 7.5X increase over an NVIDIA H100 Tensor Core GPU, for low-latency, large-scale LLM and reasoning inference.
HIGHER THROUGHPUT
PER MEGAWATT*
HIGHER THROUGHPUT
PER MEGAWATT*
Blackwell Ultra systems deliver up to 50X higher throughput per megawatt than an NVIDIA H100 Tensor Core GPU for low-latency agentic workloads, through hardware-software codesign.
LOWER COST
PER TOKEN*
LOWER COST
PER TOKEN*
Up to 35X lower cost per token than an NVIDIA H100 Tensor Core GPU for real-time reasoning and agentic AI, redefining the economics of AI inference.
Build the future faster with Crusoe Cloud
Up to 20 times faster and 81% less expensive than traditional cloud providers.
Frequently
asked questions
What is the NVIDIA HGX B300?
The NVIDIA HGX B300 is an eight-GPU system built on NVIDIA Blackwell Ultra GPUs for demanding AI, data analytics, and HPC workloads. It delivers 144 PFLOPS of sparse FP4 Tensor Core performance (108 PFLOPS dense) and 2.1 TB of total memory in a single baseboard, connected by fifth-generation NVLink.
What is the difference between the HGX B300 and HGX B200?
Both are 8-GPU systems, but the HGX B300 uses Blackwell Ultra GPUs instead of standard Blackwell. It brings 1.5x more total memory (2.1 TB vs 1.4 TB), 2x the per-GPU network bandwidth (800 Gb/s vs 400 Gb/s, via NVIDIA ConnectX-8 SuperNICs), 2x attention-layer performance, and 1.5x more dense FP4 compute (108 vs 72 PFLOPS), making it stronger for AI reasoning and long-context inference.
What is the difference between the HGX B300 and GB300?
The HGX B300 is an 8-GPU x86 server with Blackwell Ultra GPUs, built for flexible AI workloads such as pre-training, post-training and Test-time/Inference. The GB300 NVL72 is a rack-scale system pairing 72 Blackwell Ultra GPUs with 36 Grace CPUs over fifth-generation NVLink. Choose HGX B300 for node-scale AI training and inference, and GB300 for the largest rack-scale AI reasoning and training.
Can I use HGX B300 for both training and inference on Crusoe?
Yes. Run large-scale training and fine-tuning using HGX B300 with Crusoe Managed Kubernetes and Crusoe Managed Slurm, then serve models in production with Crusoe Managed Inference.


