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What is the difference between NVIDIA H100 and B100?

AlphaOS investment intelligence · Research and education only — not investment advice · Updated Sep 27, 2026

Stock research: NVDA investment intelligence

Direct answer

The NVIDIA B100, part of the Blackwell architecture, represents a significant generational leap over the H100, based on the Hopper architecture, primarily through enhanced AI performance, increased memory bandwidth, and improved energy efficiency, enabling more complex and larger AI models to be trained and deployed faster. The B100 is expected to deliver 2.5x to 4x the AI training performance and 5x to 10x the AI inference performance compared to the H100, leveraging its new Blackwell GPU architecture, second-generation Transformer Engine, and NVLink 5.0 interconnect.

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Key Takeaways

  • The B100 utilizes NVIDIA's new Blackwell architecture, succeeding the H100's Hopper architecture.
  • The B100 is projected to offer 2.5x to 4x higher AI training performance than the H100.
  • For AI inference, the B100 is expected to deliver 5x to 10x greater performance compared to the H100.
  • The B100 features a new NVLink 5.0 interconnect, providing double the bandwidth of the H100's NVLink 4.0.
  • Memory bandwidth is significantly increased in the B100, crucial for handling larger AI models.
  • The B100 incorporates a second-generation Transformer Engine, optimizing performance for large language models.
  • Energy efficiency is a key improvement in the B100, reducing operational costs for data centers.
  • The B100 is designed to support trillion-parameter AI models, a scale beyond the H100's primary focus.

Evidence & Analysis

  • NVIDIA's Blackwell architecture, introduced in March 2024, is the successor to the Hopper architecture.
  • NVIDIA states the B100 offers up to 20 petaflops of FP8 inference performance, compared to the H100's 4 petaflops.
  • The B100 features 192 GB of HBM3e memory with 8 TB/s bandwidth, an increase from the H100's 80 GB HBM3 and 3.35 TB/s.
  • NVLink 5.0 in Blackwell provides 1.8 TB/s bidirectional bandwidth per GPU, doubling the 900 GB/s of NVLink 4.0 in Hopper.
  • NVIDIA CEO Jensen Huang highlighted the B100's ability to train models 4x faster and infer 30x faster with 25x less energy than previous generations for specific workloads.
  • The Blackwell architecture integrates a new 208 billion transistor design, significantly larger than the H100's 80 billion transistors.

Key Companies

NVDA

NVIDIA Corporation

Primary beneficiary — GPU market leader with ~80% data center share, developer of H100 and B100 GPUs

TSMC

Key manufacturing partner — produces NVIDIA's advanced GPUs

Microsoft

Major customer — utilizes NVIDIA GPUs for cloud AI infrastructure

Amazon Web Services (AWS)

Major customer — utilizes NVIDIA GPUs for cloud AI infrastructure

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