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's FP16 throughput reaches 4500 TFLOPS compared to 48.7 TFLOPS on RTX 4080 SUPER: this disparity accelerates AI training and inference using half-precision, enabling faster iterations on large models. FP32 performance shows B200 at 90 TFLOPS against 48.7 TFLOPS: the datacenter GPU maintains advantage but highlights specialization in low-precision workloads common in deep learning. RTX 4080 SUPER's balanced FP16 and FP32 suits general compute yet falls short for scale. Memory specs define batch size limits: B200's 192 GB VRAM and 8000 GB/s bandwidth support enormous datasets and models without swapping, while 16 GB and 717 GB/s on RTX 4080 SUPER restrict to smaller batches prone to out-of-memory errors. TDP of 1000W on B200 demands robust cooling versus 320W on RTX 4080 SUPER, impacting deployment density.
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 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 SXM
Enterprises running large-scale LLM training select the B200: 192 GB HBM3e VRAM handles models exceeding 100 billion parameters, and 4500 TFLOPS FP16 cuts training time dramatically. Multi-GPU clusters benefit from NVLink, PCIe 6.0, and InfiniBand interconnects for seamless scaling across nodes. High-bandwidth inference at 9000 TFLOPS FP8 serves production deployments with massive throughput.
When to Choose the RTX 4080 SUPER
Budget-conscious developers prototyping models choose RTX 4080 SUPER: pricing from $0.17 per hour enables experimentation without high costs, sufficient for models fitting in 16 GB VRAM. Single-node tasks like fine-tuning small LLMs or Stable Diffusion leverage 48.7 TFLOPS FP16/FP32 at low 320W TDP. PCIe form factor simplifies integration in standard cloud instances.
Use Cases
B200's 192 GB VRAM and 4500 TFLOPS FP16 support massive models and large batches. RTX 4080 SUPER's 16 GB limits scale.
9000 TFLOPS FP8 on B200 delivers high throughput for serving large LLMs. Bandwidth of 8000 GB/s handles concurrent requests efficiently.
RTX 4080 SUPER suffices for small models at $0.17 per hour. B200 excels for parameter-heavy fine-tuning with 192 GB VRAM.
RTX 4080 SUPER's 48.7 TFLOPS and 16 GB VRAM generate images quickly at low cost. B200 overkill for single-user creative tasks.
B200's 90 TFLOPS FP32 and NVLink enable complex simulations across clusters. High VRAM processes large datasets without bottlenecks.
Frequently Asked Questions
Which GPU has more VRAM: B200 or RTX 4080 SUPER?▾
The B200 provides 192 GB HBM3e VRAM, dwarfing the RTX 4080 SUPER's 16 GB GDDR6X. This enables B200 to load much larger AI models directly. RTX 4080 SUPER suits smaller workloads fitting within 16 GB.
How do FP16 performances compare between B200 and RTX 4080 SUPER?▾
B200 achieves 4500 TFLOPS FP16, over 92 times higher than RTX 4080 SUPER's 48.7 TFLOPS. This boosts AI training speed significantly on B200. Consumer tasks see less benefit from the gap.
What is the price difference for cloud rentals?▾
RTX 4080 SUPER starts at $0.17 per hour averaging $0.32 across 3 offers. B200 begins at $1.71 per hour with $4.60 average over 13 offers. Choice depends on workload scale.
Can RTX 4080 SUPER handle LLM inference?▾
RTX 4080 SUPER manages inference for models under 16 GB VRAM at 48.7 TFLOPS FP16. Larger models require quantization or multi-GPU setups. B200's 192 GB excels for full-precision serving.
What interconnects does B200 support?▾
B200 features NVLink, PCIe 6.0, and InfiniBand for high-speed multi-GPU communication. RTX 4080 SUPER lacks advanced options beyond PCIe. This makes B200 ideal for clusters.
Is B200 more power-efficient than RTX 4080 SUPER?▾
B200 consumes 1000W TDP versus 320W on RTX 4080 SUPER, lower per-GPU power. Performance per watt favors B200 at 4.5 TFLOPS/W FP16. Efficiency shines in datacenter density.
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.