NVIDIA Blackwell Ultra GB300 GPU Fastest AI Chip With 288GB HBM3e

 

NVIDIA Blackwell Ultra “GB300” – The World’s Fastest AI GPU With 20K+ Cores, 288 GB HBM3e Memory & 50% Higher Speed Than GB200

NVIDIA has just lifted the curtain on its most powerful AI chip to date – the Blackwell Ultra GB300. Designed for the next era of AI computing, this GPU is not only an upgrade over the already massive GB200 but also sets a new benchmark in performance, efficiency, and memory capabilities.

What Makes the Blackwell Ultra GB300 So Special?

The GB300 Ultra isn’t just another GPU refresh – it’s a dual-reticle monster built on TSMC’s 4NP process (an optimized 5nm node for NVIDIA). Packing an incredible 208 billion transistors, this GPU combines two dies connected via NVIDIA’s NV-HBI interface, delivering a 10 TB/s interconnect bandwidth while functioning as a single unified chip.

With 160 Streaming Multiprocessors (SMs), each housing 128 CUDA cores and 4 fifth-gen Tensor Cores, the GB300 offers:

• 20,480 CUDA cores
• 640 Tensor cores
• 40 MB Tensor memory (TMEM)

That’s raw horsepower built to handle trillion-parameter AI models without breaking a sweat.

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Performance Upgrades Over Previous Generations

Compared to Hopper (H100/H200) and Blackwell (GB200), the GB300 Ultra introduces significant leaps:

Feature	Hopper	Blackwell	Blackwell Ultra
Process	TSMC 4N	TSMC 4NP	TSMC 4NP
Transistors	80B	208B	208B
Max Memory	80–141 GB HBM3e	192 GB HBM3e	288 GB HBM3e
HBM Bandwidth	3.35–4.8 TB/s	8 TB/s	8 TB/s
NVLink Bandwidth	900 GB/s	1.8 TB/s	1.8 TB/s
Max Power	700W	1,200W	1,400W

The standout difference is the memory bump. The GB300 comes with 288 GB HBM3e memory across 8 stacks, delivering a jaw-dropping 8 TB/s bandwidth. This means AI models with 300+ billion parameters can run natively, without relying on offloading tricks.

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Tensor Core Evolution – The Heart of AI Compute

NVIDIA has always pushed the limits with Tensor Cores, and with Blackwell Ultra, we now get:

• FP8, FP6 & NVFP4 precision compute
• Up to 15–20 PetaFLOPS (NVFP4)
• Improved Transformer Engine with extended context handling
• 10.7 TeraExponentials/s attention acceleration (over 2× Hopper)

These upgrades translate to 50% faster dense compute performance compared to the GB200, with near-FP8 accuracy while consuming significantly less memory.

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Connectivity & Scaling

The GB300 Ultra is built for massive AI factories:

• NVLink 5 with 1.8 TB/s GPU-to-GPU bandwidth
• PCIe Gen6 ×16 lanes (256 GB/s) for host connection
• NVLink-C2C for Grace CPU–GPU coherency at 900 GB/s
• Support for up to 576 GPUs in a single fabric and 72-GPU NVL72 rack setups with 130 TB/s aggregate bandwidth

This makes scaling supercomputing clusters seamless and more efficient.

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Enterprise-Grade Features

Beyond performance, NVIDIA has added features to ensure reliability, flexibility, and security:

• Next-gen GigaThread Engine for optimized scheduling
• MIG (Multi-Instance GPU) support – partition GB300 into multiple secure GPU instances
• Confidential AI & Secure TEE-I/O for protecting sensitive workloads
• AI-powered Remote Attestation Service (RAS) for predictive system monitoring

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Why It Matters

The NVIDIA Blackwell Ultra GB300 isn’t just another GPU – it’s the backbone for the next wave of trillion-parameter AI models, enterprise cloud deployments, and supercomputing clusters. With 50% more compute than GB200, 288 GB HBM3e memory, and unmatched interconnect performance, it cements NVIDIA’s dominance in the AI hardware race.

This chip represents not only raw power but also NVIDIA’s vision of an AI-first computing future where efficiency, scale, and security are just as critical as performance.

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👉 In short: If the GB200 was a giant, the GB300 Ultra is a titan – built to fuel the AI factory era.

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