Specifications Compared
| Spec | B200 | QUADRO-P6000 |
|---|---|---|
| TDP | 1000W | 250W |
| VRAM | 192 GB | 24 GB |
| CUDA Cores | 18,432 | 3,840 |
| Memory Type | HBM3e | GDDR5X |
| Architecture | Blackwell | Pascal |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 12.6 TFLOPS |
| FP32 Performance | 90 TFLOPS | 12.6 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 432 GB/s |
Performance Analysis
Performance metrics demonstrate the B200's dominance in AI workloads. Its FP16 throughput reaches 4500 TFLOPS and FP8 hits 9000 TFLOPS, compared to the P6000's 12.6 TFLOPS FP16. This enables the B200 to accelerate neural network training by orders of magnitude, as FP16 is standard for modern deep learning.
FP32 performance shows the B200 at 90 TFLOPS versus the P6000's 12.6 TFLOPS, benefiting general-purpose simulations. The B200's 8000 GB/s bandwidth supports massive batch sizes in training, reducing iterations and time. The P6000's 432 GB/s restricts it to small batches, slowing large-model workflows.
Power consumption reflects these capabilities: the B200 draws 1000W TDP for peak output, while the P6000 uses 250W. In real-world terms, the B200 suits data center-scale inference with FP8 efficiency, whereas the P6000 fits power-sensitive, single-GPU visualization where legacy software prevails.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 SXM
| 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 P6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | New York | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P6000 24GB VRAM | 24GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $1.10/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | New York | $1.10/GPU/hr $2.20/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P6000 24GB VRAM | 24GB | 16 vCPU 60GB RAM 50GB Storage | Amsterdam | $1.10/GPU/hr $2.20/hr total (2×) | Available |
When to Choose the B200 SXM
The B200 excels in large-scale AI development. Its 192 GB HBM3e VRAM accommodates trillion-parameter LLMs, and 4500 TFLOPS FP16 throughput speeds training cycles. Users in cloud environments leverage NVLink and PCIe 6.0 interconnects for multi-GPU scaling at $1.71 per hour starting price.
When to Choose the Quadro P6000
The Quadro P6000 suits budget-conscious professional visualization. At $1.10 per hour average pricing and 250W TDP, it fits edge deployments or workstations without high power infrastructure. Its PCIe form factor and 24 GB VRAM handle CAD rendering or moderate simulations where Pascal compatibility is required.
Use Cases
The B200's 4500 TFLOPS FP16 and 192 GB HBM3e VRAM support training of massive LLMs with large batch sizes. The P6000's 12.6 TFLOPS and 24 GB VRAM cannot handle such scales.
With 9000 TFLOPS FP8 and 8000 GB/s bandwidth, the B200 enables high-throughput inference for production LLMs. The P6000 lacks the memory and speed for real-time serving.
The B200's 90 TFLOPS FP32 and vast VRAM accelerate fine-tuning on large datasets. P6000 constraints limit it to small models only.
B200's FP16 performance and 192 GB VRAM generate high-resolution images rapidly at scale. P6000 suffices for basic use but slows complex generations.
The B200's 90 TFLOPS FP32 and interconnects like NVLink excel in parallel simulations. P6000's lower specs restrict complex computations.
Frequently Asked Questions
How much VRAM does the NVIDIA B200 have compared to the Quadro P6000?▾
The B200 features 192 GB HBM3e VRAM. The Quadro P6000 has 24 GB GDDR5X VRAM. This difference allows the B200 to process datasets eight times larger.
What is the FP16 performance difference between B200 and P6000?▾
The B200 delivers 4500 TFLOPS FP16. The P6000 provides 12.6 TFLOPS FP16. This yields roughly 357 times higher throughput for AI training on the B200.
Which GPU has higher memory bandwidth?▾
The B200 achieves 8000 GB/s bandwidth. The P6000 reaches 432 GB/s. Higher bandwidth on B200 supports larger batch sizes in machine learning.
What are the cloud pricing details for these GPUs?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. Quadro P6000 starts and averages $1.10 per hour across 6 offers.
What is the TDP of each GPU?▾
The B200 has a 1000W TDP. The Quadro P6000 uses 250W TDP. Lower TDP makes P6000 suitable for power-limited setups.
What architectures do they use?▾
The B200 uses Blackwell from 2024. The Quadro P6000 uses Pascal from 2016. This eight-year gap drives B200's AI optimizations.
Which is cheaper to rent, the B200 or the Quadro P6000?▾
Cloud rental prices for both the B200 and Quadro P6000 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 P6000?▾
The B200 has 192 GB of HBM3e memory. The Quadro P6000 has 24 GB of GDDR5X memory.
Can I find B200 and Quadro P6000 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 P6000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro P6000 uses Pascal (2016). The B200 delivers 357.1x the FP16 throughput and 18.5x the memory bandwidth of the Quadro P6000.