Originally published byDev.to
The NVIDIA B300 (Blackwell Ultra) is NVIDIA's latest data center GPU, built for AI training and inference. In this deep dive, we break down the full architecture, from its dual-die design and 5th-generation tensor cores to NVFP4 precision and NVLink 5 scaling.
What we cover:
00:00 - Introduction
00:56 - Why the B300 exists
02:25 - B300 vs B200 vs H100 — the numbers
03:59 - Dual-reticle design & NV-HBI interconnect
05:04 - 5th-gen tensor cores & NVFP4
07:56 - 288GB HBM3e memory breakdown
09:04 - Multi-GPU & NVLink 5 architecture
10:38 - Performance & efficiency summary
🇺🇸
More news from United StatesUnited States
NORTH AMERICA
Related News
How Braze’s CTO is rethinking engineering for the agentic area
10h ago
Amazon Employees Are 'Tokenmaxxing' Due To Pressure To Use AI Tools
21h ago
Implementing Multicloud Data Sharding with Hexagonal Storage Adapters
15h ago
DeepMind’s CEO Says AGI May Be ~4 Years Away. The Last Three Missing Pieces Are Not What Most People Think.
15h ago
CCSnapshot - A Claude Code Configs Transfer Tool
21h ago