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 NVL dominates in compute performance: its FP16 capability reaches 4500 TFLOPS and FP8 hits 9000 TFLOPS, dwarfing the RTX 5070 Ti's 40.6 TFLOPS FP16. This gap means the B200 NVL accelerates AI training by over 100 times in half-precision tasks, ideal for deep learning where FP16 predominates. FP32 performance shows the B200 NVL at 90 TFLOPS against the RTX 5070 Ti's 40.6 TFLOPS, still providing more than double the throughput for general-purpose computing.
Memory specifications profoundly affect real-world usage. The B200 NVL's 192 GB HBM3e VRAM supports enormous batch sizes and models exceeding 100 billion parameters without swapping, while the RTX 5070 Ti's 12 GB GDDR7 limits it to smaller batches or models under 10 billion parameters. Bandwidth of 8000 GB/s on the B200 NVL versus 448 GB/s on the RTX 5070 Ti enables 18 times faster data movement, reducing bottlenecks in inference pipelines and allowing larger effective batch sizes during training.
Power draw reflects their scopes: the B200 NVL's 1000W TDP suits dense server racks, while the RTX 5070 Ti's 250W fits desktop efficiency. For inference, the B200 NVL's FP8 prowess cuts latency dramatically for high-throughput serving.
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 |
When to Choose the B200 NVL
Choose the B200 NVL for large-scale AI training and inference where 192 GB HBM3e VRAM and 4500 TFLOPS FP16 performance enable handling of models over 100 billion parameters. Its 8000 GB/s bandwidth supports massive batch sizes, reducing training times from weeks to days in cloud environments at $10.50 per hour. Enterprise users benefit from NVLink and InfiniBand for multi-GPU scaling in datacenters.
When to Choose the RTX 5070 Ti
Opt for the RTX 5070 Ti in budget-constrained scenarios like prototyping or small-scale inference, where 12 GB GDDR7 VRAM suffices for models under 10 billion parameters at $0.10 per hour. Its 250W TDP and 40.6 TFLOPS FP16 make it ideal for gaming, Stable Diffusion, or fine-tuning on desktops without needing datacenter infrastructure. Cloud users save costs on intermittent tasks across two live offers averaging $0.19 per hour.
Use Cases
The B200 NVL's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 handle massive LLMs with large batch sizes. The RTX 5070 Ti's 12 GB VRAM limits it to tiny models.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on the B200 NVL deliver high-throughput serving for production. The RTX 5070 Ti suits only low-volume needs.
90 TFLOPS FP32 and 192 GB VRAM enable efficient fine-tuning of large models on the B200 NVL. Smaller VRAM on the RTX 5070 Ti restricts scale.
The RTX 5070 Ti's 40.6 TFLOPS FP16 and $0.10 per hour pricing fit image generation workflows. B200 NVL overkill for consumer creative tasks.
B200 NVL's 90 TFLOPS FP32 and InfiniBand scaling accelerate simulations. RTX 5070 Ti viable only for modest datasets.
Frequently Asked Questions
What is the VRAM difference between B200 NVL and RTX 5070 Ti?▾
The B200 NVL provides 192 GB HBM3e VRAM, while the RTX 5070 Ti has 12 GB GDDR7. This allows the B200 NVL to load models over 16 times larger without offloading.
How do their FP16 performances compare?▾
B200 NVL achieves 4500 TFLOPS FP16, over 110 times the RTX 5070 Ti's 40.6 TFLOPS. Training speedups exceed 100x for AI tasks on the B200 NVL.
What are the cloud rental prices?▾
B200 NVL rents from $10.50 per hour averaging $10.50 across one offer. RTX 5070 Ti starts at $0.10 per hour averaging $0.19 across two offers.
Which has higher memory bandwidth?▾
B200 NVL offers 8000 GB/s, 18 times the RTX 5070 Ti's 448 GB/s. This boosts batch sizes and reduces inference latency significantly.
What are their TDPs?▾
B200 NVL consumes 1000W for datacenter density, versus RTX 5070 Ti's 250W for efficient desktops. Power scales with performance capabilities.
Can RTX 5070 Ti scale like B200 NVL?▾
RTX 5070 Ti uses PCIe without advanced interconnects, unlike B200 NVL's NVLink and InfiniBand. Multi-GPU setups favor the B200 NVL for AI clusters.
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.