NVIDIA has officially detailed its most powerful AI processor yet – the Blackwell Ultra GB300 – delivering 50% better performance than the GB200 while packing an unprecedented 288GB of HBM3e memory.
Table of Contents
Blackwell Ultra GB300 Key Specifications
The GB300 GPU represents NVIDIA’s engineering pinnacle, featuring dual reticle-sized dies connected through the company’s NV-HBI high-bandwidth interface to function as a single, massive AI accelerator.
Complete Technical Breakdown
| Specification | Blackwell GB200 | Blackwell Ultra GB300 |
|---|---|---|
| Memory | 192GB HBM3e | 288GB HBM3e |
| Memory Bandwidth | 8 TB/s | 8 TB/s |
| CUDA Cores | ~16,384 | 20,480 |
| Tensor Cores | 512 (5th Gen) | 640 (5th Gen) |
| Manufacturing | TSMC 4NP | TSMC 4NP |
| Max Power | 1,200W | 1,400W |
Revolutionary AI Performance Gains
The Blackwell Ultra GB300 achieves its 50% performance advantage through several key innovations:
Advanced Precision Computing:
- NVFP4 support – New ultra-low precision format
- FP8 and FP6 compatibility for diverse AI workloads
- Near FP8 accuracy with less than 1% difference
- Memory footprint reduction – 1.8x vs FP8, 3.5x vs FP16
Massive Memory Upgrade Enables Trillion-Parameter Models
The jump to 288GB HBM3e memory represents the largest capacity available in any AI accelerator, enabling:
- Complete model residence for 300B+ parameter models
- Extended context lengths for transformer architectures
- Improved compute efficiency across diverse AI workloads
This memory breakthrough allows researchers to run multi-trillion parameter AI models without memory offloading, dramatically accelerating training and inference speeds.
Enterprise-Grade Security and Management
Beyond raw performance, the GB300 introduces advanced enterprise features:
- Multi-Instance GPU (MIG) – Partition into multiple secure instances
- Confidential computing – Hardware-based Trusted Execution Environment
- AI-powered reliability – Predictive failure monitoring system
Industry Impact and Availability
The Blackwell Ultra GB300 is already in full production and shipping to key customers, positioning NVIDIA to maintain its AI chip dominance. The 208 billion transistor design on TSMC’s 4NP process represents the cutting edge of semiconductor manufacturing.
With NVIDIA’s developer resources and comprehensive software stack, the GB300 promises to accelerate the next generation of AI breakthroughs across industries.
For comprehensive coverage of AI hardware developments and NVIDIA updates, visit our AI technology section at TechnoSports.
FAQs
How much faster is the Blackwell Ultra GB300 than previous NVIDIA AI chips?
It delivers 50% better performance than the GB200 and dramatically outperforms older Hopper H100 chips.
When will the Blackwell Ultra GB300 be available for purchase?
The chip is currently in full production and shipping to enterprise customers and cloud providers.
