Specifications Compared
| Spec | B200 | RTX-4080 |
|---|---|---|
| TDP | 1000W | 320W |
| VRAM | 192 GB | 16 GB |
| CUDA Cores | 18,432 | 9,728 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 304 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 48.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 48.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 780 TOPS |
| Memory Bandwidth | 8,000 GB/s | 717 GB/s |
Performance Analysis
The B200 NVL's FP16 rating of 4500 TFLOPS enables dramatically faster low-precision AI training and inference compared to the RTX 4080 SUPER's 48.7 TFLOPS. Its FP32 of 90 TFLOPS still surpasses the competitor, but the wide FP16-to-FP32 gap signals optimization for modern AI pipelines over traditional graphics compute. This translates to training large models in hours rather than days on equivalent hardware.
Memory specs define scalability limits: 192 GB on B200 NVL supports enormous batch sizes for LLMs, while 16 GB on RTX 4080 SUPER forces model sharding or reduced batches. Bandwidth of 8000 GB/s minimizes data stalls during gradient computations, versus 717 GB/s, enhancing overall training efficiency by factors exceeding 10x in memory-bound scenarios. The B200 NVL's 1000W TDP demands robust cooling, unlike the 320W RTX 4080 SUPER.
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 4080 SUPER
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA GeForce RTX 4080 SUPER 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr | |||
RunPod | NVIDIA GeForce RTX 4080 16GB VRAM | 16GB | 6 vCPU 35GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the B200 NVL
Select the B200 NVL for large-scale LLM training or inference where 192 GB VRAM accommodates full models without partitioning. Its NVLink and InfiniBand interconnects enable multi-GPU clusters, and 4500 TFLOPS FP16 accelerates epochs on datasets exceeding RTX 4080 SUPER capacities. At $10.50 per hour, it justifies investment for production AI pipelines.
When to Choose the RTX 4080 SUPER
The RTX 4080 SUPER suits budget prototyping, fine-tuning small models, or Stable Diffusion generation at $0.17 per hour starting price. Its 16 GB VRAM and 48.7 TFLOPS FP16 handle consumer AI tasks efficiently, with 320W TDP enabling dense cloud deployments. PCIe form factor simplifies integration for non-enterprise users.
Use Cases
B200 NVL's 192 GB VRAM and 4500 TFLOPS FP16 support massive batches and models impossible on RTX 4080 SUPER's 16 GB.
9000 TFLOPS FP8 and 8000 GB/s bandwidth enable high-throughput serving of large models; RTX 4080 SUPER bottlenecks at 16 GB.
192 GB capacity fits full parameter sets for efficient fine-tuning without sharding, unlike 16 GB limits.
RTX 4080 SUPER's Ada Lovelace excels in image generation at $0.32 per hour average, with adequate 48.7 TFLOPS FP16.
90 TFLOPS FP32 and PCIe 6.0 interconnect outperform RTX 4080 SUPER for parallel simulations requiring high memory.
Frequently Asked Questions
How much VRAM do B200 NVL and RTX 4080 SUPER have?▾
B200 NVL features 192 GB HBM3e VRAM, enabling large model loading. RTX 4080 SUPER provides 16 GB GDDR6X. This 12x difference impacts batch sizes in AI training.
What are the cloud prices for these GPUs?▾
B200 NVL averages $10.50 per hour from one offer. RTX 4080 SUPER starts at $0.17 per hour, averaging $0.32 across three offers. Cost scales with performance tiers.
Which GPU has higher FP16 performance?▾
B200 NVL achieves 4500 TFLOPS FP16, over 92x the RTX 4080 SUPER's 48.7 TFLOPS. This accelerates AI inference significantly. FP8 on B200 reaches 9000 TFLOPS.
What is the memory bandwidth comparison?▾
B200 NVL delivers 8000 GB/s, about 11x the RTX 4080 SUPER's 717 GB/s. Higher bandwidth reduces bottlenecks in data-heavy workloads. It pairs with 192 GB capacity.
Which is better for multi-GPU setups?▾
B200 NVL supports NVLink, PCIe 6.0, and InfiniBand for scaling. RTX 4080 SUPER lacks advanced interconnects beyond PCIe. This favors B200 for clusters.
What are the TDP ratings?▾
B200 NVL requires 1000W TDP for peak output. RTX 4080 SUPER uses 320W, suiting lower-power environments. Power correlates with 4500 TFLOPS versus 48.7 TFLOPS.
Which is cheaper to rent, the B200 or the RTX 4080?▾
Cloud rental prices for both the B200 and RTX 4080 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 4080?▾
The B200 has 192 GB of HBM3e memory. The RTX 4080 has 16 GB of GDDR6X memory.
Can I find B200 and RTX 4080 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 4080?▾
The B200 uses the Blackwell architecture (2024) while the RTX 4080 uses Ada Lovelace (2022). The B200 delivers 92.4x the FP16 throughput and 11.2x the memory bandwidth of the RTX 4080.