Specifications Compared
| Spec | B200 | RTX-3090 |
|---|---|---|
| TDP | 1000W | 350W |
| VRAM | 192 GB | 24 GB |
| CUDA Cores | 18,432 | 10,496 |
| Memory Type | HBM3e | GDDR6X |
| Architecture | Blackwell | Ampere |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 328 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 35.6 TFLOPS |
| FP32 Performance | 90 TFLOPS | 35.6 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 936 GB/s |
Performance Analysis
Raw compute metrics position the B200 far ahead for AI tasks. It achieves 4500 TFLOPS in FP16 and 90 TFLOPS in FP32, surpassing the RTX 3090's 35.6 TFLOPS in both formats by over 126 times in FP16. This gap translates to dramatically faster model training, where FP16 tensor cores dominate, and inference with mixed precision.
The B200's 9000 TFLOPS FP8 performance enables high-throughput quantized inference unattainable on the RTX 3090. Memory bandwidth of 8000 GB/s versus 936 GB/s permits larger batch sizes on the B200, reducing out-of-memory errors in large language model training and boosting utilization. Higher TDP at 1000W on the B200 demands enterprise infrastructure, unlike the RTX 3090's efficient 350W draw.
These specs reshape real-world workflows: B200 handles datasets and models scaling beyond 24 GB VRAM limits of the RTX 3090.
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 3090
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Wilmington, Delaware | $0.20/GPU/hr | Available | ||
![]() TensorDock | NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 0 vCPU 0GB RAM | Dallas, Texas | $0.21/GPU/hr | Available | ||
![]() Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 403GB RAM 104GB Storage | Iceland | $0.25/GPU/hr $1.01/hr total (4×) | Available | ||
![]() Vast.ai | 4×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 32 vCPU 252GB RAM 1440GB Storage | Finland | $0.27/GPU/hr $1.07/hr total (4×) | Available | ||
![]() LeaderGPU | 8×NVIDIA GeForce RTX 3090 24GB VRAM | 24GB | 64 vCPU 384GB RAM 2000GB Storage | Netherlands | $0.29/GPU/hr $2.29/hr total (8×) | Available |
When to Choose the B200 SXM
Select the B200 SXM for large-scale AI training and inference. Its 192 GB HBM3e VRAM accommodates massive LLMs, while 4500 TFLOPS FP16 and 9000 TFLOPS FP8 deliver production-level throughput. High bandwidth of 8000 GB/s supports enormous batch sizes in distributed setups via NVLink and PCIe 6.0.
When to Choose the RTX 3090
The RTX 3090 suits budget-conscious developers and prototyping. At $0.08 per hour from cloud providers, its 24 GB GDDR6X VRAM handles fine-tuning of mid-sized models or Stable Diffusion generation. Lower 350W TDP fits standard workstations without specialized cooling.
Use Cases
B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support massive models and large batches. RTX 3090's 24 GB GDDR6X limits scale to smaller datasets.
9000 TFLOPS FP8 on B200 enables high-throughput serving of quantized LLMs. RTX 3090's 35.6 TFLOPS FP16 cannot match this speed at scale.
RTX 3090's 24 GB VRAM suffices for mid-sized models at $0.08 per hour. B200 excels for parameter-heavy fine-tuning needing 192 GB.
RTX 3090's 35.6 TFLOPS FP16 and 24 GB VRAM generate images efficiently at low cost. B200's power is overkill for typical diffusion tasks.
RTX 3090 handles FP32 simulations at 35.6 TFLOPS affordably. B200's 90 TFLOPS FP32 accelerates complex HPC workloads with 192 GB VRAM.
Frequently Asked Questions
Which GPU has more VRAM: B200 SXM or RTX 3090?▾
The B200 SXM offers 192 GB HBM3e VRAM, exactly eight times the RTX 3090's 24 GB GDDR6X. This enables B200 to load much larger AI models without swapping. RTX 3090 suits smaller workloads fitting within 24 GB.
How does memory bandwidth compare between B200 and RTX 3090?▾
B200 SXM provides 8000 GB/s, over eight times the RTX 3090's 936 GB/s. Higher bandwidth on B200 supports larger batch sizes in training. RTX 3090 performs adequately for bandwidth-light tasks.
What are the FP16 performance differences?▾
B200 delivers 4500 TFLOPS FP16, 126 times the RTX 3090's 35.6 TFLOPS. This accelerates deep learning training significantly on B200. RTX 3090 remains viable for lighter FP16 compute.
Which is cheaper in the cloud?▾
RTX 3090 starts at $0.08 per hour averaging $0.45 across 43 offers, far below B200 SXM's $1.71 per hour average of $4.60 over 13 offers. Choose RTX 3090 for cost savings in non-demanding use. B200 justifies expense via superior performance.
What is the power consumption of each GPU?▾
B200 SXM has a 1000W TDP, requiring datacenter cooling. RTX 3090 draws 350W, suitable for consumer setups. Power differences impact deployment choices.
Can RTX 3090 do FP8 compute like B200?▾
RTX 3090 lacks specified FP8 performance, unlike B200's 9000 TFLOPS. B200 excels in quantized inference. RTX 3090 relies on FP16 at 35.6 TFLOPS for similar tasks.
Which is cheaper to rent, the B200 or the RTX 3090?▾
Cloud rental prices for both the B200 and RTX 3090 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 3090?▾
The B200 has 192 GB of HBM3e memory. The RTX 3090 has 24 GB of GDDR6X memory.
Can I find B200 and RTX 3090 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 3090?▾
The B200 uses the Blackwell architecture (2024) while the RTX 3090 uses Ampere (2020). The B200 delivers 126.4x the FP16 throughput and 8.5x the memory bandwidth of the RTX 3090.



