Specifications Compared
| Spec | B200 | RTX-2080 |
|---|---|---|
| TDP | 1000W | 215W |
| VRAM | 192 GB | 8-11 GB |
| CUDA Cores | 18,432 | 2,944 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 368 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 10.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 10.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 616 GB/s |
Performance Analysis
Compute performance shows stark differences across precisions. The B200 achieves 4500 TFLOPS in FP16 and 90 TFLOPS in FP32, far exceeding the RTX 2080's 10.1 TFLOPS in both. This delta means the B200 accelerates AI training by handling larger models and datasets efficiently, while the RTX 2080 suits smaller-scale or legacy training runs. For inference, the B200's FP8 capability at 9000 TFLOPS enables ultra-fast serving of massive LLMs, a feat impossible on the RTX 2080.
Memory specifications profoundly impact real-world usage. The B200's 192 GB HBM3e and 8000 GB/s bandwidth support enormous batch sizes in training, reducing iterations and time-to-result. The RTX 2080's 8-11 GB GDDR6 and 616 GB/s often bottleneck large batches, forcing smaller sizes or multi-GPU setups. Power draw underscores deployment differences: 1000W TDP for B200 demands data center cooling, versus 215W for RTX 2080's desktop viability.
Interconnects reflect intent: B200's NVLink, PCIe 6.0, and InfiniBand enable multi-GPU clusters, ideal for distributed training. RTX 2080's PCIe and NVLink limit it to single-node or small-scale operations.
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 2080
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Vast.ai | NVIDIA GeForce RTX 2080 Ti 11GB VRAM | 11GB | 32 vCPU 63GB RAM 1273GB Storage | Maryland | $0.13/GPU/hr | Available |
When to Choose the B200
The B200 excels in enterprise AI workloads requiring vast resources. Large-scale LLM training or inference benefits from 192 GB HBM3e VRAM and 4500 TFLOPS FP16 performance, accommodating models that exceed the RTX 2080's 8-11 GB limits. High memory bandwidth of 8000 GB/s ensures no bottlenecks in data-heavy scientific computing or fine-tuning.
Cloud users prioritizing speed over cost select B200 for production deployments across its SXM or NVL form factors, leveraging NVLink for scaling.
When to Choose the RTX 2080
The RTX 2080 fits budget-conscious, light-duty tasks. Prototyping small models or Stable Diffusion runs leverages its 10.1 TFLOPS FP32 at $0.05 per hour starting price, avoiding B200's $1.71 minimum. Low 215W TDP suits edge or desktop-like cloud instances without heavy infrastructure.
Hobbyists or developers testing legacy code choose RTX 2080 for its PCIe form factor and accessibility across 6 cloud offers averaging $0.09 per hour.
Use Cases
B200's 4500 TFLOPS FP16 and 192 GB VRAM handle massive datasets and models. RTX 2080's 10.1 TFLOPS and 8-11 GB capacity cannot scale similarly.
B200's 9000 TFLOPS FP8 delivers ultra-low latency for large LLMs. RTX 2080 lacks FP8 support and sufficient VRAM for production serving.
192 GB HBM3e and 8000 GB/s bandwidth on B200 support large batch sizes. RTX 2080's 616 GB/s often bottlenecks fine-tuning of mid-sized models.
RTX 2080's 10.1 TFLOPS FP32 suffices for image generation at $0.09 average hourly cost. B200's power is excessive for this consumer workload.
B200's 90 TFLOPS FP32 and high interconnects enable complex simulations. RTX 2080's lower specs limit precision-heavy computations.
Frequently Asked Questions
What is the VRAM difference between B200 and RTX 2080?▾
B200 provides 192 GB HBM3e VRAM. RTX 2080 offers 8-11 GB GDDR6. This allows B200 to manage much larger models.
How do FP16 performances compare?▾
B200 delivers 4500 TFLOPS in FP16. RTX 2080 reaches 10.1 TFLOPS. B200 accelerates AI training by over 445 times.
What are the cloud rental prices?▾
B200 starts at $1.71 per hour, averaging $4.61 across 16 offers. RTX 2080 starts at $0.05 per hour, averaging $0.09 across 6 offers.
Which has higher memory bandwidth?▾
B200 achieves 8000 GB/s. RTX 2080 provides 616 GB/s. B200 prevents data bottlenecks in large batches.
What are the TDPs?▾
B200 requires 1000W TDP for data center use. RTX 2080 uses 215W, suitable for lighter setups.
Can RTX 2080 handle LLM inference?▾
RTX 2080's 8-11 GB VRAM limits it to small models at 10.1 TFLOPS FP16. B200's 192 GB and 9000 TFLOPS FP8 excel for production.
Which is cheaper to rent, the B200 or the RTX 2080?▾
Cloud rental prices for both the B200 and RTX 2080 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 2080?▾
The B200 has 192 GB of HBM3e memory. The RTX 2080 has 8 to 11 GB of GDDR6 memory.
Can I find B200 and RTX 2080 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 2080?▾
The B200 uses the Blackwell architecture (2024) while the RTX 2080 uses Turing (2018). The B200 delivers 445.5x the FP16 throughput and 13.0x the memory bandwidth of the RTX 2080.