Specifications Compared
| Spec | B200 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 1000W | 260W |
| VRAM | 192 GB | 48 GB |
| CUDA Cores | 18,432 | 4,608 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 576 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 672 GB/s |
Performance Analysis
The B200 dominates in compute performance with 4500 TFLOPS in FP16, enabling rapid AI model training that would take the Quadro RTX 8000's 16.3 TFLOPS far longer: training times could extend by over 275 times for FP16-heavy tasks. FP32 performance at 90 TFLOPS on the B200 versus 16.3 TFLOPS supports traditional simulations efficiently, but the delta underscores the B200's optimization for mixed-precision AI workflows.
Memory specifications transform real-world usage: 192 GB HBM3e VRAM on the B200 handles massive models without swapping, unlike the 48 GB GDDR6 limit on the Quadro RTX 8000. The 8000 GB/s bandwidth sustains large batch sizes in inference, reducing latency, while 672 GB/s bottlenecks the older GPU during data-intensive operations. Power draw at 1000W TDP for the B200 demands robust cooling, contrasting the 260W efficiency of the Quadro RTX 8000 for lighter loads.
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 |
When to Choose the B200
Choose the B200 for large-scale AI training and inference where 4500 TFLOPS FP16 and 192 GB VRAM enable handling models exceeding 100 billion parameters. Its 8000 GB/s bandwidth supports high-throughput cloud deployments at $1.71 per hour starting price across 16 offers, ideal for enterprises scaling HPC or deep learning pipelines with NVLink and InfiniBand interconnects.
When to Choose the Quadro RTX 8000
Select the Quadro RTX 8000 for professional visualization or CAD workloads in on-premises PCIe setups, where 48 GB GDDR6 and 260W TDP suffice without cloud dependency. Its NVLink support aids multi-GPU rendering tasks at lower power, suitable for legacy software not yet optimized for Blackwell architecture.
Use Cases
The B200's 4500 TFLOPS FP16 and 192 GB HBM3e VRAM handle massive LLMs efficiently. The Quadro RTX 8000's 16.3 TFLOPS and 48 GB limit it to small-scale training.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on the B200 enable high-throughput serving. The Quadro RTX 8000 cannot compete with 16.3 TFLOPS FP16.
192 GB VRAM supports large batch sizes during fine-tuning on the B200. 48 GB on the Quadro RTX 8000 restricts model complexity.
B200's superior FP16 at 4500 TFLOPS accelerates image generation pipelines. Quadro RTX 8000's 672 GB/s bandwidth slows high-resolution tasks.
90 TFLOPS FP32 and PCIe 6.0 on the B200 boost simulations. Quadro RTX 8000 suits lighter FP32 at 16.3 TFLOPS but lacks scalability.
Frequently Asked Questions
What is the VRAM difference between B200 and Quadro RTX 8000?▾
The B200 provides 192 GB HBM3e VRAM, four times the Quadro RTX 8000's 48 GB GDDR6. This allows the B200 to load much larger models without offloading to system RAM.
How does FP16 performance compare?▾
B200 achieves 4500 TFLOPS in FP16, over 275 times the Quadro RTX 8000's 16.3 TFLOPS. This gap accelerates AI training significantly on the newer GPU.
What are the power requirements?▾
The B200 has a 1000W TDP, demanding enterprise cooling, while the Quadro RTX 8000 uses 260W for workstation efficiency. Choose based on infrastructure.
Is the Quadro RTX 8000 available in the cloud?▾
No live cloud offers exist for the Quadro RTX 8000. The B200 starts at $1.71 per hour across 16 providers with an average of $4.61 per hour.
Which has higher memory bandwidth?▾
B200 delivers 8000 GB/s, nearly 12 times the Quadro RTX 8000's 672 GB/s. This sustains larger batches in deep learning workloads.
What architectures do they use?▾
B200 uses Blackwell from 2024 for AI focus, versus Turing in 2018 for the Quadro RTX 8000's professional viz emphasis. The six-year gap drives vast spec improvements.
Which is cheaper to rent, the B200 or the Quadro RTX 8000?▾
Cloud rental prices for both the B200 and Quadro RTX 8000 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 8000?▾
The B200 has 192 GB of HBM3e memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find B200 and Quadro RTX 8000 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 8000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro RTX 8000 uses Turing (2018). The B200 delivers 276.1x the FP16 throughput and 11.9x the memory bandwidth of the Quadro RTX 8000.