Specifications Compared
| Spec | B200 | RTX-A2000 |
|---|---|---|
| TDP | 1000W | 70W |
| VRAM | 192 GB | 6-12 GB |
| CUDA Cores | 18,432 | 3,328 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ampere |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 104 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 8 TFLOPS |
| FP32 Performance | 90 TFLOPS | 8 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 288 GB/s |
Performance Analysis
Performance disparities dominate in compute capabilities: the B200 achieves 4500 TFLOPS in FP16 and 90 TFLOPS in FP32, compared to 8 TFLOPS for both on the A2000. This FP16/FP32 delta on the B200, with FP16 at 50 times FP32, excels in AI training and inference where half-precision computations prevail, enabling faster convergence on large datasets. The A2000's parity in FP16 and FP32 suits balanced general-purpose graphics but falters in precision-heavy AI.
Memory bandwidth profoundly impacts real-world usage: 8000 GB/s on the B200 supports enormous batch sizes during training, minimizing iterations and memory swaps for models exceeding 100 GB. In contrast, 288 GB/s on the A2000 restricts batches to small sizes, suitable only for lightweight inference. FP8 performance at 9000 TFLOPS on the B200 accelerates quantized inference, a capability absent in the A2000.
Power draw reflects efficiency scales: the B200's 1000W TDP powers its throughput, while the A2000's 70W enables dense deployments.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200 NVL
| 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 A2000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA RTX A2000 12GB VRAM | 12GB | 6 vCPU 20GB RAM | 🌍global | $0.50/GPU/hr |
When to Choose the B200 NVL
Opt for the B200 in large-scale LLM training or scientific simulations demanding over 100 GB VRAM, where 192 GB HBM3e and 8000 GB/s bandwidth handle massive datasets without fragmentation. High-throughput inference benefits from 9000 TFLOPS FP8 and NVLink interconnects in NVL form factors, ideal for enterprise clusters at $10.50 per hour.
When to Choose the RTX A2000
Select the RTX A2000 for budget-conscious prototyping, small model fine-tuning, or Stable Diffusion generation fitting within 12 GB GDDR6. Its 70W TDP and PCIe form factor suit edge devices or multi-GPU workstations, with pricing from $0.06 per hour enabling accessible experimentation.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support training massive LLMs with large batch sizes. The A2000's 12 GB maximum cannot accommodate such models.
9000 TFLOPS FP8 on the B200 delivers high-throughput inference for production-scale LLMs. The A2000 suffices only for tiny models due to 288 GB/s bandwidth constraints.
Fine-tuning large models requires the B200's 90 TFLOPS FP32 and 8000 GB/s bandwidth for efficient epochs. Smaller tasks fit the A2000, but scale favors B200.
Stable Diffusion runs effectively on the A2000's 8 TFLOPS FP16 within 12 GB VRAM for rapid prototyping. B200 overkill raises costs unnecessarily.
Complex simulations leverage the B200's 192 GB VRAM and NVLink for distributed computing. The A2000's 70W TDP limits to basic tasks.
Frequently Asked Questions
What is the VRAM capacity of the B200 versus RTX A2000?▾
The B200 provides 192 GB HBM3e VRAM, enabling large model loading. The RTX A2000 offers 6-12 GB GDDR6, suitable for smaller workloads. This difference determines scalability for AI tasks.
How do cloud prices compare for these GPUs?▾
B200 NVL pricing averages $10.50 per hour across one offer. RTX A2000 starts at $0.06 per hour, averaging $0.23 across three offers. Budget drives A2000 choice for development.
Which GPU has higher FP16 performance?▾
The B200 delivers 4500 TFLOPS FP16, over 562 times the A2000's 8 TFLOPS. This accelerates deep learning training significantly. Inference also benefits from B200's FP8 at 9000 TFLOPS.
What are the TDP ratings?▾
B200 TDP reaches 1000W for datacenter power. RTX A2000 uses 70W, ideal for low-power workstations. Form factors differ: B200 in SXM/NVL, A2000 in PCIe.
Can the A2000 handle large model training?▾
No, its 12 GB VRAM maximum and 288 GB/s bandwidth limit it to small models. B200's 192 GB and 8000 GB/s excel here. Use A2000 for prototyping only.
What architectures power these GPUs?▾
B200 uses Blackwell from 2024 with advanced AI features. A2000 relies on Ampere from 2021 for graphics and compute. Generational gap yields B200's superior specs.
Which is cheaper to rent, the B200 or the RTX A2000?▾
Cloud rental prices for both the B200 and RTX A2000 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 A2000?▾
The B200 has 192 GB of HBM3e memory. The RTX A2000 has 6 to 12 GB of GDDR6 memory.
Can I find B200 and RTX A2000 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 A2000?▾
The B200 uses the Blackwell architecture (2024) while the RTX A2000 uses Ampere (2021). The B200 delivers 562.5x the FP16 throughput and 27.8x the memory bandwidth of the RTX A2000.