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 performance of 4500 TFLOPS vastly exceeds the RTX 4080's 48.7 TFLOPS, enabling faster AI model training where half-precision computations dominate. FP32 throughput on the B200 reaches 90 TFLOPS against 48.7 TFLOPS on the RTX 4080, supporting precise scientific simulations or graphics rendering. The FP16 to FP32 delta on the B200 favors mixed-precision training pipelines, reducing memory usage while accelerating iterations on massive datasets.
FP8 performance on the B200 hits 9000 TFLOPS, ideal for inference on quantized large language models, a capability absent in the RTX 4080 specs. Memory bandwidth of 8000 GB/s on the B200 allows larger batch sizes in training, fitting models up to 192 GB VRAM without swapping, unlike the RTX 4080's 717 GB/s and 16 GB limit which constrain workloads to smaller batches or models. This disparity means the B200 processes data 11 times faster, minimizing bottlenecks in deep learning pipelines.
Power efficiency differs markedly: the B200's 1000W TDP delivers over 90 times the FP16 throughput per watt compared to the RTX 4080's 320W, though total power draw suits enterprise cooling over desktop use.
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 |
RTX 4080
| 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
Choose the B200 for large-scale LLM training or inference requiring over 16 GB VRAM. Its 192 GB HBM3e handles models like GPT-scale transformers without partitioning, and 8000 GB/s bandwidth supports batch sizes impossible on the RTX 4080. Datacenter interconnects like NVLink enable multi-GPU scaling at $1.71 per hour starting price.
Scientific computing with FP32-heavy simulations benefits from 90 TFLOPS and high memory capacity, outperforming the RTX 4080 in sustained workloads.
When to Choose the RTX 4080
Select the RTX 4080 for cost-sensitive tasks like Stable Diffusion image generation or fine-tuning small models under 16 GB VRAM. At $0.11 per hour average $0.28, it delivers 48.7 TFLOPS FP16 for quick iterations without enterprise overhead.
Gaming, video editing, or lightweight inference suits its 320W PCIe form factor, avoiding the B200's 1000W power and $4.61 average hourly cost.
Use Cases
The B200's 192 GB VRAM and 4500 TFLOPS FP16 support training massive LLMs with large batch sizes. RTX 4080's 16 GB limits it to tiny models.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 enable high-throughput serving of large models. RTX 4080 struggles with models over 16 GB.
B200's 90 TFLOPS FP32 and vast VRAM handle parameter-efficient fine-tuning on billion-parameter models. RTX 4080 suffices only for small-scale.
RTX 4080's 48.7 TFLOPS FP16 generates images quickly at $0.11 per hour. B200 overkill for 16 GB model needs.
B200's 90 TFLOPS FP32 and 192 GB VRAM accelerate simulations with large datasets. RTX 4080's lower specs bottleneck complex computations.
Frequently Asked Questions
Which GPU has more VRAM: B200 or RTX 4080?▾
The B200 provides 192 GB HBM3e VRAM, compared to 16 GB GDDR6X on the RTX 4080. This enables the B200 to load much larger AI models without offloading.
What is the FP16 performance difference between B200 and RTX 4080?▾
B200 achieves 4500 TFLOPS in FP16, over 92 times the RTX 4080's 48.7 TFLOPS. This gap accelerates AI training significantly on the B200.
How do cloud prices compare for B200 vs RTX 4080?▾
B200 starts at $1.71 per hour with $4.61 average across 16 offers. RTX 4080 starts at $0.11 per hour with $0.28 average across 8 offers.
Is B200 better for LLM training than RTX 4080?▾
Yes, B200's 192 GB VRAM and 8000 GB/s bandwidth support large-batch training of LLMs. RTX 4080's 16 GB VRAM restricts it to small models.
What is the TDP of each GPU?▾
B200 has a 1000W TDP for datacenter use. RTX 4080 uses 320W, suitable for consumer PCIe setups.
Which has higher memory bandwidth?▾
B200 offers 8000 GB/s, about 11 times the RTX 4080's 717 GB/s. This benefits data-intensive AI workloads on B200.
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.