Specifications Compared
| Spec | B200 | RTX-5070 |
|---|---|---|
| TDP | 1000W | 250W |
| VRAM | 192 GB | 12 GB |
| CUDA Cores | 18,432 | 6,144 |
| Memory Type | HBM3e | GDDR7 |
| Architecture | Blackwell | Blackwell |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 192 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 40.6 TFLOPS |
| FP32 Performance | 90 TFLOPS | 40.6 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 650 TOPS |
| Memory Bandwidth | 8,000 GB/s | 448 GB/s |
Performance Analysis
The B200's 192 GB HBM3e VRAM enables handling of enormous models that exceed the RTX 5070's 12 GB GDDR7 limit, allowing batch sizes up to 16 times larger in training scenarios. Memory bandwidth tells a similar story: 8000 GB/s on the B200 sustains high-throughput data movement for large datasets, while 448 GB/s on the RTX 5070 constrains it to smaller batches, potentially bottlenecking inference on models over 7 billion parameters.
Compute disparities define workloads: the B200 delivers 4500 TFLOPS in FP16 for accelerated training and 9000 TFLOPS in FP8 for inference, enabling 100x faster large language model processing than the RTX 5070's 40.6 TFLOPS FP16. FP32 performance follows suit at 90 TFLOPS versus 40.6 TFLOPS, favoring the B200 in simulations requiring precision. These metrics translate to real-world speedups in distributed training, where NVLink on the B200 outperforms PCIe-only RTX 5070 setups.
Power efficiency varies: the B200's 1000W TDP demands robust cooling for sustained peaks, yet yields superior perf-per-watt in memory-bound tasks compared to the RTX 5070's 250W 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
The B200 suits large-scale AI training and inference where 192 GB VRAM accommodates models like 1 trillion-parameter LLMs without fragmentation. Datacenter environments benefit from its 8000 GB/s bandwidth and 4500 TFLOPS FP16 for distributed jobs across NVLink clusters, ideal for research labs or enterprises processing petabyte-scale data.
Cloud users prioritizing throughput over cost select B200 instances at $1.71 per hour for production inference, leveraging 9000 TFLOPS FP8 to serve millions of queries daily.
When to Choose the RTX 5070
The RTX 5070 fits budget-conscious developers testing small models under 7 billion parameters, with 12 GB VRAM sufficient for fine-tuning or local inference at $0.08 per hour. Gamers and creators leverage its 40.6 TFLOPS FP16 for real-time rendering or Stable Diffusion, where 250W TDP enables desktop deployment without datacenter overhead.
Entry-level cloud prototyping favors RTX 5070 for its PCIe compatibility and low average $0.17 per hour pricing across quick experiments.
Use Cases
B200's 192 GB VRAM and 4500 TFLOPS FP16 handle massive datasets and models infeasible on RTX 5070's 12 GB limit. Bandwidth of 8000 GB/s supports large batch sizes essential for efficient training.
9000 TFLOPS FP8 on B200 accelerates high-volume serving for trillion-parameter models. RTX 5070's 448 GB/s bandwidth restricts throughput on larger inputs.
Small models fit RTX 5070's 12 GB VRAM at low $0.08 per hour cost; B200 excels for parameter-efficient methods on 192 GB scale. Choice depends on model size.
RTX 5070's 40.6 TFLOPS FP16 suffices for image generation at 250W TDP and $0.17 per hour average. B200 overkill for consumer creative workflows.
B200's 90 TFLOPS FP32 and NVLink enable complex simulations on vast grids. RTX 5070's PCIe limits multi-GPU scaling for HPC.
Frequently Asked Questions
Which has more VRAM: B200 or RTX 5070?▾
The B200 offers 192 GB HBM3e VRAM, far exceeding the RTX 5070's 12 GB GDDR7. This enables B200 for large models while RTX 5070 suits smaller tasks.
How do B200 and RTX 5070 compare in FP16 performance?▾
B200 achieves 4500 TFLOPS FP16 versus RTX 5070's 40.6 TFLOPS, a 110x advantage for training. Inference benefits similarly from B200's FP8 at 9000 TFLOPS.
What is the price difference for cloud rental?▾
B200 starts at $1.71 per hour averaging $4.61 across 16 offers; RTX 5070 at $0.08 per hour averaging $0.17 over 4 offers. RTX 5070 is 27x cheaper on average.
Does RTX 5070 support NVLink like B200?▾
No, RTX 5070 uses PCIe interconnect only, lacking B200's NVLink for multi-GPU scaling. This limits RTX 5070 in clustered workloads.
Which GPU has higher memory bandwidth?▾
B200 provides 8000 GB/s, 18x the RTX 5070's 448 GB/s. Higher bandwidth on B200 boosts batch sizes in memory-intensive AI tasks.
What are the TDP ratings?▾
B200 requires 1000W TDP for datacenter use; RTX 5070 uses 250W for consumer setups. B200 demands more power infrastructure.
Which is cheaper to rent, the B200 or the RTX 5070?▾
Cloud rental prices for both the B200 and RTX 5070 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 5070?▾
The B200 has 192 GB of HBM3e memory. The RTX 5070 has 12 GB of GDDR7 memory.
Can I find B200 and RTX 5070 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 5070?▾
The B200 uses the Blackwell architecture (2024) while the RTX 5070 uses Blackwell (2025). The B200 delivers 110.8x the FP16 throughput and 17.9x the memory bandwidth of the RTX 5070.