Specifications Compared
| Spec | B200 | QUADRO-RTX-5000 |
|---|---|---|
| TDP | 1000W | 230W |
| VRAM | 192 GB | 16 GB |
| CUDA Cores | 18,432 | 3,072 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 384 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 11.2 TFLOPS |
| FP32 Performance | 90 TFLOPS | 11.2 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 448 GB/s |
Performance Analysis
The B200's FP16 performance reaches 4500 TFLOPS, dwarfing the Quadro RTX 5000's 11.2 TFLOPS by a factor of over 400: this disparity accelerates machine learning training and inference, where half-precision computations dominate. For FP32 tasks common in scientific simulations, the B200 delivers 90 TFLOPS versus 11.2 TFLOPS, providing an eightfold speedup. The B200's FP8 capability at 9000 TFLOPS further optimizes large language model inference.
Memory specifications transform real-world usage: 192 GB HBM3e VRAM on the B200 supports massive batch sizes and models that exceed 16 GB GDDR6 limits on the Quadro RTX 5000, preventing out-of-memory errors in deep learning pipelines. Bandwidth of 8000 GB/s versus 448 GB/s, an 18-fold increase, enables faster data movement, reducing bottlenecks in training loops and allowing larger effective batch sizes.
Power draw underscores efficiency trade-offs: the B200's 1000W TDP suits data centers with robust cooling, while the Quadro RTX 5000's 230W fits edge or workstation deployments. Overall, these specs render the B200 viable for exascale AI, relegating the Quadro RTX 5000 to legacy or constrained scenarios.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Nebius | NVIDIA B200 SXM 192GB VRAM | 192GB | 20 vCPU 224GB RAM | 🌍Europe | $3.95/GPU/hr | |||
 Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $4.79/GPU/hr $38.32/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.39/GPU/hr $43.12/hr total (8×) | |||
Cirrascale | 8×NVIDIA B200 SXM 192GB VRAM | 192GB | 192 vCPU 2048GB RAM 43923GB Storage | United States | $5.69/GPU/hr $45.52/hr total (8×) | |||
 RunPod | NVIDIA B200 SXM 192GB VRAM | 192GB | 28 vCPU 283GB RAM | California | $5.89/GPU/hr |
Quadro RTX 5000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.82/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 5000 16GB VRAM | 16GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.82/GPU/hr $1.64/hr total (2×) | Available |
When to Choose the B200
Opt for the B200 in large-scale AI training and inference workloads requiring over 192 GB VRAM, such as training models with billions of parameters. Its 4500 TFLOPS FP16 and 8000 GB/s bandwidth handle massive datasets without fragmentation, ideal for cloud clusters via NVLink or PCIe 6.0.
Scientific computing benefiting from 90 TFLOPS FP32, like molecular dynamics simulations, favors the B200 for its SXM form factor scalability.
When to Choose the Quadro RTX 5000
Select the Quadro RTX 5000 for cost-sensitive workstation tasks like CAD rendering or video editing, where 16 GB GDDR6 and 11.2 TFLOPS suffice at $0.82 per hour. Its 230W TDP and PCIe form factor integrate easily into desktops without high power infrastructure.
Legacy software optimized for Turing architecture, such as older professional visualization apps, performs adequately on the Quadro RTX 5000 without overprovisioning.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support training massive LLMs with large batch sizes. The Quadro RTX 5000's 16 GB limits it to tiny models.
FP8 performance at 9000 TFLOPS on the B200 enables high-throughput inference for production LLMs. The Quadro RTX 5000's 11.2 TFLOPS FP16 cannot compete.
Fine-tuning large models demands the B200's 8000 GB/s bandwidth for efficient data loading. 448 GB/s on the Quadro RTX 5000 causes severe bottlenecks.
Small-scale image generation runs on the Quadro RTX 5000's 16 GB VRAM at low cost. High-resolution or batched workflows require the B200's 192 GB.
90 TFLOPS FP32 on the B200 accelerates simulations like CFD. The Quadro RTX 5000's matching 11.2 TFLOPS FP32 suits only modest datasets.
Frequently Asked Questions
Which GPU has more VRAM: B200 or Quadro RTX 5000?▾
The B200 provides 192 GB HBM3e VRAM, exceeding the Quadro RTX 5000's 16 GB GDDR6 by a factor of 12. This enables handling larger models on the B200.
How do B200 and Quadro RTX 5000 compare in FP16 performance?▾
B200 achieves 4500 TFLOPS FP16, over 400 times the Quadro RTX 5000's 11.2 TFLOPS. This gap favors B200 for AI training.
What is the memory bandwidth difference between B200 and Quadro RTX 5000?▾
B200 offers 8000 GB/s, 18 times the Quadro RTX 5000's 448 GB/s. Higher bandwidth on B200 supports larger batch sizes.
Which is cheaper in the cloud: B200 or Quadro RTX 5000?▾
Quadro RTX 5000 starts at $0.82 per hour across two offers, versus B200's $1.71 per hour average of $4.61 across 16 offers. Budget tasks suit Quadro RTX 5000.
What are the TDP ratings for B200 and Quadro RTX 5000?▾
B200 consumes 1000W TDP for data center use, while Quadro RTX 5000 uses 230W for workstations. Lower TDP makes Quadro RTX 5000 more power-efficient.
Can Quadro RTX 5000 handle modern AI workloads?▾
Quadro RTX 5000's 11.2 TFLOPS and 16 GB VRAM limit it to small models. B200's 4500 TFLOPS FP16 is required for current LLM tasks.
Which is cheaper to rent, the B200 or the Quadro RTX 5000?▾
Cloud rental prices for both the B200 and Quadro RTX 5000 vary by provider, configuration, and availability. This page shows live pricing from 25+ providers updated every 60 seconds. Scroll to the Live Cloud Pricing section to compare current rates.
How much VRAM does the B200 have compared to the Quadro RTX 5000?▾
The B200 has 192 GB of HBM3e memory. The Quadro RTX 5000 has 16 GB of GDDR6 memory.
Can I find B200 and Quadro RTX 5000 GPUs available to rent right now?▾
Yes. This page shows real-time availability across 25+ cloud GPU providers. The Live Cloud Pricing section displays only in-stock offers with current pricing.
What is the main difference between the B200 and the Quadro RTX 5000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro RTX 5000 uses Turing (2018). The B200 delivers 401.8x the FP16 throughput and 17.9x the memory bandwidth of the Quadro RTX 5000.