Specifications Compared
| Spec | B200 | RTX-4070 |
|---|---|---|
| TDP | 1000W | 200W |
| VRAM | 192 GB | 12 GB |
| CUDA Cores | 18,432 | 5,888 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 184 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 29.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 29.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 466 TOPS |
| Memory Bandwidth | 8,000 GB/s | 504 GB/s |
Performance Analysis
The NVIDIA B200 NVL vastly outperforms the RTX 4070 SUPER in AI-specific metrics. Its 4500 TFLOPS FP16 capability accelerates model training and inference in half-precision formats, enabling processing of massive datasets where the RTX 4070 SUPER's 35 TFLOPS struggles with all but small models.
A key distinction lies in precision handling: the B200 NVL achieves 4500 TFLOPS FP16 against 90 TFLOPS FP32, showcasing tensor core optimizations for deep learning. The RTX 4070 SUPER balances at 35 TFLOPS for both, suiting general-purpose graphics and lighter compute tasks. This delta means B200 NVL trains large language models 100 times faster in FP16-dominated pipelines.
Memory bandwidth defines batch size feasibility: 8000 GB/s on B200 NVL supports enormous batches for billion-parameter models without swapping, while 504 GB/s on RTX 4070 SUPER limits scale and increases latency in memory-bound workloads.
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 |
RTX 4070 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4070 Ti 12GB VRAM | 12GB | 6 vCPU 30GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the B200 NVL
The NVIDIA B200 NVL suits large-scale AI training and inference. Its 192 GB VRAM loads full models like 175B-parameter LLMs, impossible on 12 GB consumer cards. NVLink interconnects enable multi-GPU scaling at $10.50 per hour in cloud environments.
High-performance computing benefits from 90 TFLOPS FP32 and 1000W TDP in datacenter setups.
When to Choose the RTX 4070 SUPER
The NVIDIA GeForce RTX 4070 SUPER fits personal desktops and small projects. Its 220W TDP integrates into standard PCs, and 12 GB VRAM handles fine-tuning or Stable Diffusion without cloud costs. Local ownership avoids hourly pricing.
Gaming and creative apps leverage balanced 35 TFLOPS FP16/FP32 performance.
Use Cases
LLM training demands extreme VRAM and FP16 compute; B200 NVL's 192 GB HBM3e and 4500 TFLOPS outperform RTX 4070 SUPER's 12 GB and 35 TFLOPS by orders of magnitude.
Production inference requires high throughput; B200 NVL's 9000 TFLOPS FP8 and 8000 GB/s bandwidth serve massive queries efficiently.
Small models fine-tune on RTX 4070 SUPER's 12 GB VRAM; larger ones need B200 NVL's capacity.
Image generation runs smoothly on RTX 4070 SUPER's 35 TFLOPS and local setup; no need for datacenter scale.
Complex simulations utilize B200 NVL's 90 TFLOPS FP32 and NVLink for distributed HPC workloads.
Frequently Asked Questions
How much VRAM does NVIDIA B200 NVL have compared to RTX 4070 SUPER?▾
NVIDIA B200 NVL provides 192 GB HBM3e VRAM. RTX 4070 SUPER has 12 GB GDDR6X. The difference allows B200 NVL to manage models over 100 times larger.
What are the memory bandwidth specs?▾
B200 NVL delivers 8000 GB/s. RTX 4070 SUPER offers 504 GB/s. Superior bandwidth on B200 NVL minimizes bottlenecks in data-heavy AI tasks.
Which GPU has higher TDP?▾
B200 NVL TDP reaches 1000W for datacenter use. RTX 4070 SUPER is 220W for desktops. B200 NVL requires specialized cooling.
Is cloud pricing available for these GPUs?▾
B200 NVL starts at $10.50 per hour with one live offer. No live cloud offers exist for RTX 4070 SUPER.
What FP16 performance do they offer?▾
B200 NVL achieves 4500 TFLOPS FP16. RTX 4070 SUPER provides 35 TFLOPS. This gap favors B200 NVL for accelerated AI training.
Which architecture powers each GPU?▾
B200 NVL uses Blackwell from 2024. RTX 4070 SUPER employs Ada Lovelace from 2023. Blackwell advances AI-specific features.
Which is cheaper to rent, the B200 or the RTX 4070?▾
Cloud rental prices for both the B200 and RTX 4070 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 4070?▾
The B200 has 192 GB of HBM3e memory. The RTX 4070 has 12 GB of GDDR6X memory.
Can I find B200 and RTX 4070 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 4070?▾
The B200 uses the Blackwell architecture (2024) while the RTX 4070 uses Ada Lovelace (2023). The B200 delivers 154.6x the FP16 throughput and 15.9x the memory bandwidth of the RTX 4070.