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 disparities dominate the comparison: the B200 achieves 4500 TFLOPS in FP16 and 90 TFLOPS in FP32, dwarfing the P6000's 12.6 TFLOPS in both formats. This gap translates to dramatically faster neural network training and inference on the B200, where FP16 handles mixed-precision computations efficiently for large language models. The P6000's equal FP16 and FP32 rates suit general compute but falter in modern AI pipelines optimized for lower precision. Memory bandwidth of 8000 GB/s on the B200 supports massive batch sizes in training, reducing iterations and time, while 432 GB/s on the P6000 limits scalability for datasets exceeding 24 GB VRAM. FP8 performance at 9000 TFLOPS on the B200 further excels in inference tasks, unavailable on the older card. Power draw of 1000W for B200 versus 250W for P6000 affects deployment density.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 NVL
| 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 NVL
The B200 suits large-scale AI training and inference where 192 GB HBM3e VRAM and 8000 GB/s bandwidth handle models with billions of parameters. Users running FP16 workloads at 4500 TFLOPS benefit from its speed in data centers with NVLink and PCIe 6.0 support. High cloud pricing of $10.50 per hour justifies selection for time-sensitive projects demanding 90 TFLOPS FP32 performance.
When to Choose the Quadro P6000
The Quadro P6000 fits budget visualization or legacy CAD applications with 24 GB GDDR5X VRAM at $1.10 per hour cloud pricing. Its 250W TDP enables dense deployments in PCIe workstations without advanced cooling. Tasks not exceeding 12.6 TFLOPS FP32 or 432 GB/s bandwidth find it adequate for non-AI compute.
Use Cases
The B200's 4500 TFLOPS FP16 and 192 GB HBM3e VRAM enable training massive models with large batch sizes. The P6000's 12.6 TFLOPS and 24 GB limit it to small-scale tasks.
FP8 at 9000 TFLOPS and 8000 GB/s bandwidth on the B200 accelerate high-throughput inference. The P6000 lacks FP8 support and sufficient performance at 12.6 TFLOPS.
90 TFLOPS FP32 and 192 GB VRAM on the B200 support efficient fine-tuning of large models. P6000's 24 GB VRAM restricts dataset sizes.
B200's high FP16 performance and memory handle high-resolution generation quickly. P6000 struggles with 432 GB/s bandwidth for complex diffusion models.
B200's 8000 GB/s bandwidth and 4500 TFLOPS FP16 excel in simulations with large datasets. P6000 suffices only for modest computations under 12.6 TFLOPS.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B200 provides 192 GB HBM3e VRAM, far exceeding the Quadro P6000's 24 GB GDDR5X. This allows the B200 to manage much larger models and datasets. The difference impacts scalability in AI workloads.
How do their FP16 performances compare?▾
B200 delivers 4500 TFLOPS in FP16, compared to 12.6 TFLOPS on the P6000. This results in over 350 times faster mixed-precision computing on B200. Training times drop significantly with the newer architecture.
What is the memory bandwidth difference?▾
B200 achieves 8000 GB/s bandwidth with HBM3e, versus 432 GB/s on P6000's GDDR5X. Higher bandwidth on B200 supports larger batch sizes and faster data transfers. It proves critical for deep learning applications.
Which has lower cloud pricing?▾
Quadro P6000 starts at $1.10 per hour across 6 offers, much lower than B200 NVL's $10.50 per hour. Budget users prefer P6000 for light tasks. Performance gains on B200 justify higher costs for demanding jobs.
What are their TDPs?▾
B200 requires 1000W TDP, while P6000 uses 250W. Lower power on P6000 suits edge or dense setups. B200 demands robust cooling for data centers.
Which architecture is newer?▾
B200 uses Blackwell from 2024, advancing beyond P6000's Pascal of 2016. Newer design includes FP8 at 9000 TFLOPS absent on P6000. It targets AI-specific 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.