Specifications Compared
| Spec | B200 | RTX-PRO-6000-BLACKWELL |
|---|---|---|
| TDP | 1000W | 400W |
| VRAM | 192 GB | 96 GB |
| CUDA Cores | 18,432 | 21,760 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 680 |
| FP8 Performance | 9,000 TFLOPS | 2,000 TFLOPS |
| FP16 Performance | 4,500 TFLOPS | 125 TFLOPS |
| FP32 Performance | 90 TFLOPS | 125 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 2,000 TOPS |
| Memory Bandwidth | 8,000 GB/s | 1,792 GB/s |
Performance Analysis
The B200 vastly outpaces the RTX PRO 6000 in AI-specific compute: FP16 reaches 4500 TFLOPS versus 125 TFLOPS, and FP8 hits 9000 TFLOPS against 2000 TFLOPS. This disparity accelerates deep learning training and inference, where tensor operations dominate. The B200's FP32 at 90 TFLOPS trails the PRO 6000's 125 TFLOPS, but AI workloads rarely bottleneck on FP32 alone.
Memory specs define real-world limits: 192 GB HBM3e with 8000 GB/s bandwidth on B200 supports enormous batch sizes and model sizes in LLM training, preventing out-of-memory errors common on 96 GB GDDR7 at 1792 GB/s. Lower bandwidth on PRO 6000 restricts throughput for memory-bound tasks like large transformer inference.
Power draw underscores deployment differences: 1000W TDP enables dense server racks for B200, while 400W suits edge or workstation cooling. These factors yield 36 times higher FP16 throughput on B200, transforming training timelines from weeks to days.
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 |
RTX PRO 6000 Blackwell
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 VERDA | 2×NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 60 vCPU 180GB RAM | Helsinki | $1.89/GPU/hr $3.78/hr total (2×) | Available | ||
VERDA | NVIDIA RTX PRO 6000 Blackwell 96GB VRAM | 96GB | 30 vCPU 90GB RAM | Helsinki | $1.89/GPU/hr | Available |
When to Choose the B200 SXM
Choose the B200 SXM for large-scale AI training and inference requiring over 96 GB VRAM. Its 192 GB HBM3e handles gigantic LLMs, and 8000 GB/s bandwidth sustains batch sizes impossible on the RTX PRO 6000. Datacenter setups benefit from SXM form factor, NVLink, and 4500 TFLOPS FP16 despite $1.71 per hour starting price.
When to Choose the RTX PRO 6000 Blackwell
The RTX PRO 6000 Blackwell suits cost-sensitive professional workflows under $0.59 per hour. Its 96 GB GDDR7 VRAM and 400W TDP fit PCIe workstations for visualization, fine-tuning smaller models, or Stable Diffusion at 125 TFLOPS FP16 and FP32. Balanced compute avoids overkill for non-datacenter tasks.
Use Cases
B200's 192 GB HBM3e VRAM and 8000 GB/s bandwidth enable training massive LLMs with large batches. RTX PRO 6000's 96 GB limits model scale.
9000 TFLOPS FP8 on B200 accelerates high-throughput inference for large models. PRO 6000's 2000 TFLOPS FP8 suffices only for smaller deployments.
4500 TFLOPS FP16 and 192 GB VRAM on B200 handle full-model fine-tuning efficiently. PRO 6000 works for parameter-efficient methods on 96 GB.
RTX PRO 6000's 96 GB GDDR7 and 125 TFLOPS FP16 meet image generation needs at low $0.59 per hour. B200's capacity exceeds requirements.
B200 excels in memory-intensive simulations via 8000 GB/s bandwidth; PRO 6000 fits FP32-heavy tasks at 125 TFLOPS with lower power.
Frequently Asked Questions
Which GPU has more VRAM?▾
The B200 SXM offers 192 GB HBM3e VRAM. The RTX PRO 6000 provides 96 GB GDDR7. This doubles capacity for B200 in large model workloads.
What are the cloud pricing differences?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 across 13 offers. RTX PRO 6000 starts at $0.59 per hour, averaging $1.14 across 6 offers. PRO 6000 delivers lower costs for lighter tasks.
Which is better for AI training?▾
B200 dominates with 4500 TFLOPS FP16 and 8000 GB/s bandwidth. RTX PRO 6000's 125 TFLOPS FP16 limits scale. Choose B200 for LLMs over 96 GB.
How do memory bandwidths compare?▾
B200 achieves 8000 GB/s with HBM3e. RTX PRO 6000 reaches 1792 GB/s on GDDR7. B200 supports 4.5 times larger batches in training.
What are the power requirements?▾
B200 SXM draws 1000W TDP for datacenter density. RTX PRO 6000 uses 400W for PCIe workstations. Lower TDP eases cooling on PRO 6000.
Do both support NVLink?▾
Both GPUs include NVLink interconnect. B200 adds PCIe 6.0 and InfiniBand for clusters. This enables multi-GPU scaling on either.
Which is cheaper to rent, the B200 or the RTX PRO 6000?▾
Cloud rental prices for both the B200 and RTX PRO 6000 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 RTX PRO 6000?▾
The B200 has 192 GB of HBM3e memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.
Can I find B200 and RTX PRO 6000 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 RTX PRO 6000?▾
The B200 uses the Blackwell architecture (2024) while the RTX PRO 6000 uses Blackwell (2025). The B200 delivers 36.0x the FP16 throughput and 4.5x the memory bandwidth of the RTX PRO 6000.