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
The B200's FP16 performance of 4500 TFLOPS vastly outpaces the RTX 3090's 35.6 TFLOPS: this advantage accelerates inference tasks using half-precision arithmetic, common in deploying large language models. In training scenarios favoring FP32, the B200's 90 TFLOPS exceeds the RTX 3090's 35.6 TFLOPS by 2.5 times, enabling faster gradient computations on extensive datasets.
Memory specifications define practical limits: the B200's 192 GB HBM3e VRAM and 8000 GB/s bandwidth support massive batch sizes, such as those exceeding 24 GB on the RTX 3090, which bottlenecks large-model training. This bandwidth gap, over 8.5 times higher, minimizes data starvation in transformer models, reducing epochs by orders of magnitude.
Power and interconnects further differentiate: the B200's 1000W TDP sustains peak throughput via NVLink, PCIe 6.0, and InfiniBand, ideal for multi-GPU scaling, while the RTX 3090's 350W and NVLink suit modest clusters. FP8 capability at 9000 TFLOPS on the B200 unlocks quantized inference efficiencies unavailable on the RTX 3090.
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 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 1217GB 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
The B200 excels in large-scale AI training and inference: its 192 GB VRAM accommodates full-parameter fine-tuning of models like GPT-4 equivalents, impossible on the RTX 3090's 24 GB. With 8000 GB/s bandwidth, it handles batch sizes that saturate the RTX 3090's 936 GB/s, cutting training times dramatically.
Enterprise deployments favor the B200 for its PCIe 6.0 and InfiniBand support, enabling 1000W-powered clusters across 16 cloud offers averaging $4.61 per hour.
When to Choose the RTX 3090
The RTX 3090 suits budget-conscious prototyping and inference: at $0.08 per hour from 48 offers, it delivers 35.6 TFLOPS FP16 for small-to-medium models fitting within 24 GB VRAM. Its 350W TDP and PCIe form factor simplify single-node or desktop setups without datacenter infrastructure.
Hobbyist Stable Diffusion or scientific simulations benefit from this affordability, where the RTX 3090's NVLink suffices for modest multi-GPU needs.
Use Cases
The B200's 192 GB VRAM and 90 TFLOPS FP32 handle full-parameter training of billion-scale LLMs, far beyond the RTX 3090's 24 GB limit. Its 8000 GB/s bandwidth supports large batches essential for efficient convergence.
With 9000 TFLOPS FP8 and 4500 TFLOPS FP16, the B200 processes high-throughput queries on massive models. The RTX 3090's 35.6 TFLOPS FP16 restricts it to smaller deployments.
The B200's 192 GB HBM3e fits parameter-efficient methods on large models without offloading. Bandwidth at 8000 GB/s accelerates iterations compared to the RTX 3090's 936 GB/s.
The RTX 3090's 24 GB VRAM suffices for high-resolution image generation at 35.6 TFLOPS FP16. Its $0.08 per hour pricing makes it ideal for iterative creative workflows.
Small simulations fit the RTX 3090's 35.6 TFLOPS FP32 affordably, while HPC-scale tasks leverage the B200's 90 TFLOPS FP32 and InfiniBand for distributed computing.
Frequently Asked Questions
How much faster is the B200 than the RTX 3090 in FP16?▾
The B200 delivers 4500 TFLOPS FP16 versus the RTX 3090's 35.6 TFLOPS, yielding approximately 126 times the performance. This translates to drastically reduced inference latencies for AI models. Real-world gains depend on memory-bound workloads.
Can the RTX 3090 handle large LLMs?▾
The RTX 3090's 24 GB GDDR6X VRAM limits it to models under that threshold, often requiring quantization. The B200's 192 GB HBM3e supports full-precision giants. Bandwidth at 936 GB/s further constrains batch sizes.
What is the price difference in cloud rentals?▾
RTX 3090 starts at $0.08 per hour averaging $0.43 across 48 offers, while B200 begins at $1.71 averaging $4.61 across 16 offers. This 21-fold entry gap favors prototyping on the 3090. Prices fluctuate with demand on gpuperhour.com.
Does the B200 support FP8 for inference?▾
Yes, the B200 achieves 9000 TFLOPS FP8, optimizing quantized LLM serving. The RTX 3090 lacks native FP8 hardware. This enables higher throughput at lower precision.
What form factors do these GPUs use?▾
The B200 employs SXM and NVL for datacenters with NVLink, PCIe 6.0, and InfiniBand. The RTX 3090 uses PCIe for consumer boards with NVLink. This affects scalability in clusters.
Is the B200 worth the higher TDP?▾
The B200's 1000W TDP sustains 4500 TFLOPS FP16 peaks, outperforming the RTX 3090's 350W limit at 35.6 TFLOPS. It suits power-rich environments for maximum utilization. Efficiency per watt favors Blackwell architecture.
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.