The world of graphics processing units (GPUs) is on the cusp of a significant transformation with the introduction of NVIDIA’s Blackwell architecture. As we dive into the details of the B100 and B200 GPUs, it’s essential to understand the context and significance of this new architecture. As we enter 2025, the B100 and B200 GPUs promise substantial improvements in performance, efficiency, and AI capabilities. These new GPUs are particularly significant as they arrive during a period of unprecedented growth in AI model size and complexity.
What is the Blackwell Architecture?
The Blackwell architecture succeeds NVIDIA’s Hopper and Ada Lovelace architectures, bringing transformative features such as dual-die configurations, fifth-generation Tensor Cores, and enhanced memory capabilities. Fabricated using TSMC’s 4NP process node for data center products and 4N for consumer products, Blackwell GPUs achieve performance gains through architectural innovations rather than major process node advancements.
Key features include:
- Dual-die configurations: Unified operation with 10 TB/s chip-to-chip bandwidth for massive scalability.
- FP4/FP6 precision management: Optimized for AI workloads like generative models and computer vision.
- Confidential Computing: Enhanced security for sensitive data in industries like healthcare and finance.
- HBM3e memory: Up to 8 TB/s bandwidth for seamless AI training and inference.
Comparison with Previous Generations: Hopper vs. Blackwell
The bar chart clearly illustrates a dramatic performance gap between the HGX H100 and GB200 NVL72, with the Blackwell-based GB200 delivering 4X the speed compared to the Hopper-based H100.
Performance Highlights
- Raw Performance Differential: GB200 NVL72 achieves 4X speedup over H100 for key workloads
- LLM Inference: Up to 30X speedup for large language models like GPT-MoE-1.8T
- Energy Efficiency: 25X less energy consumption with equivalent number of GPUs
- Total Cost of Ownership: 25X lower TCO compared to H100 deployments
Technical Advancements Enabling This Leap
- Second-generation Transformer Engine with new FP4 precision support
- Enhanced Memory Subsystem: 8TB/s HBM3e bandwidth (vs 2TB/s in Hopper)
- Advanced NVLink Technology: 1.8 TB/s GPU-to-GPU interconnect
- Expanded GPU Domain: 72-GPU NVLink domain (vs 8-way in Hopper)
- Liquid Cooling: Essential for managing thermal output of high-density compute
NVIDIA Blackwell B100 vs. B200: Key Differences
NVIDIA’s latest HGX B100 and B200 series GPUs represent the current pinnacle of AI accelerated computing. These two high-performance computing platforms based on the Blackwell architecture demonstrate excellent performance in various AI training and inference tasks. The following table compares the core technical specifications of these two products, including computing power, memory bandwidth, and power characteristics.
| Feature | HGX B100 | HGX B200 |
|---|---|---|
| Form Factor | 8x NVIDIA Blackwell GPU | 8x NVIDIA Blackwell GPU |
| FP4 Tensor Core | 112 PetaFLOPS | 144 PetaFLOPS |
| FP8/FP6/INT8 | 56 PetaFLOPS | 72 PetaFLOPS |
| Fast Memory | Up to 1.5T | Up to 1.5T |
| Aggregate Memory Bandwidth | Up to 64TB/s | Up to 64TB/s |
| Aggregate NVLink Bandwidth | 14.4 TB/S | 14.4 TB/S |
| FP4 Tensor Core (Per GPU) | 14 PetaFLOPS | 18 PetaFLOPS |
| FP8/FP6 Tensor Core (Per GPU) | 7 PetaFLOPS | 9 PetaFLOPS |
| INT8 Tensor Core (Per GPU) | 7 PetaOPS | 9 PetaOPS |
| FP16/BF16 Tensor Core (Per GPU) | 3.5 petaFLOPS | 4.5 petaFLOPS |
| TF32 Tensor Core (Per GPU) | 1.8 petaFLOPS | 2.2 petaFLOPS |
| FP32 (Per GPU) | 60 teraFLOPS | 80 teraFLOPS |
| FP64 Tensor Core (Per GPU) | 30 teraFLOPS | 40 teraFLOPS |
| FP64 | 30 teraFLOPS | 40 teraFLOPS |
| GPU memory| Bandwidth | Up to 192 GB HBM3e | Up to 8 TB/s | Up to 192 GB HBM3e | Up to 8 TB/s |
| Max thermal design power (TDP) | 700W | 1000W |
| Interconnect | NVLink: 1.8TB/s PCIe Gen6: 256GB/s | NVLink: 1.8TB/s PCIe Gen6: 256GB/s |
| Server options | NVIDIA HGX B100 partner and NVIDIA-Certified Systems with 8 GPUs | NVIDIA HGX B200 partner and NVIDIA-Certified Systems with 8 GPUs |
Source from: https://www.nvidia.com
Applications of B100 and B200 GPUs
The Blackwell B100 and B200 GPUs are designed to excel in a range of fields, from AI to gaming and HPC. Here’s how each model serves its respective market:
- AI and Machine Learning: Both the B100 and B200 are equipped with NVIDIA’s powerful tensor cores, which accelerate deep learning and AI processes. The B200, with its increased memory and higher core count, is ideal for large-scale AI model training and deployment in data centers. The B100, while more accessible, is perfect for research labs or smaller-scale AI applications.
- Data Centers and HPC: The B200, with its higher memory and processing power, is tailor-made for enterprise environments where massive computational resources are required. This includes applications in scientific simulations, financial modeling, and large-scale cloud workloads.
Choose Novita AI be your cloud gpu servicer
When it comes to cloud GPU services, Novita AI stands out as a leading provider, offering flexible and scalable solutions that leverage cutting-edge NVIDIA GPUs. Whether you need flexible on-demand hourly rates or a subscription plan with deeper discounts for longer commitments, we have a variety of options to suit your needs. Our plans provide access to powerful GPUs, including the RTX 4090, RTX 6000 Ada, and H100, all equipped with Tensor Cores to boost your AI and deep learning tasks. Each plan comes with dedicated resources and premium support, ensuring optimal performance and expert assistance. Select the plan that best aligns with your computational demands and usage preferences.
| Option | RTX 3090 24 GB | RXT 4090 24 GB | RXT 6000 Ada 48GB | H100 SXM 80 GB |
| On Demand | $0.21/hr | $0.35/hr | $0.70/hr | $2.89/hr |
| 1-5 months | $136.00/month (10% OFF) | $226.80/month (10% OFF) | $453.60/month(10% OFF) | $1872.72/month (10% OFF) |
| 6-11 months | $129.00/month( (15% OFF) | $206.64/month (18% OFF) | $428.40/month(15% OFF) | $1664.64/month (20% OFF) |
| 12 months | $113.40/month(25% OFF) | $189.00/month (25% OFF) | $403.20/month(20% OFF) | $1498.18/month (28% OFF) |
If you’re interested in Novita AI, kindly follow the steps below：
Step1：Create an account
Ready to get started? Register on the Novita AI platform in just a few minutes. After logging in, head to the “GPUs” page to browse available instances, compare specifications, and select the plan that suits you best. With our intuitive interface, you can effortlessly deploy your first GPU instance and accelerate your AI development journey.
Step2：Select Your GPU
Our platform provides a diverse selection of professionally crafted templates to meet various use cases, along with the freedom to build your own solutions from the ground up. Backed by high-performance GPUs such as the NVIDIA H100—with generous VRAM and RAM—we ensure smooth, fast, and efficient training for even the most demanding AI models.
Step3：Customize Your Setup
Enjoy flexible storage solutions customized to your needs, starting with 60GB of free Container Disk space. Effortlessly scale with pay-as-you-go upgrades or subscription plans that fit your workflow and budget. Whether you’re launching a new project or handling large-scale deployments, our dynamic storage system provides instant expansion and reliable provisioning—so you always have the space you need, right when you need it.
Step4：Launch Your Instance
Choose the pricing model that works best for you—go with On-Demand for maximum flexibility or Subscription for greater savings. Review your instance specs and cost overview, then launch with just one click. Your high-performance GPU environment will be up and running in seconds, so you can jump straight into your projects without delay.
Conclusion
NVIDIA’s Blackwell architecture is set to make a major impact in the worlds of AI, gaming, and high-performance computing. The B100 and B200 GPUs, with their impressive specifications and capabilities, are positioned to lead the way in both consumer and enterprise applications.Whether you’re looking to enhance gaming performance, accelerate AI workloads, or build large-scale cloud infrastructures, Blackwell GPUs offer the power and flexibility you need.
If you’re considering the best GPU solution for your needs, Novita AI provides access to Blackwell-powered cloud GPU services, ensuring you’re always ahead of the curve with the latest in GPU technology.
Frequently Asked Questions
The B200 offers higher performance specifications compared to B100, with more memory bandwidth, enhanced interconnect capabilities, and greater performance for AI workloads, particularly for large language models.
Blackwell GPUs excel at AI training and inference, particularly for large language models (LLMs), generative AI, scientific computing, and high-performance computing applications.
Yes, liquid cooling is essential for managing the thermal output of these high-density compute units, especially in data center deployments.
Novita AI is an AI cloud platform that offers developers an easy way to deploy AI models using our simple API, while also providing the affordable and reliable GPU cloud for building and scaling.
Recommended Reading
The Next Generation of AI Computing: NVIDIA’s Journey from Hopper to Blackwell
Boosting AI Development: TensorFlow and GPU Cloud Solutions
Choosing the Best GPU for Machine Learning in 2025: A Complete Guide
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