Specifications Compared
| Spec | B200 | RTX-A6000 |
|---|---|---|
| TDP | 1000W | 300W |
| VRAM | 192 GB | 48 GB |
| CUDA Cores | 18,432 | 10,752 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ampere |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 336 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 38.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 38.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | 0.6 TFLOPS |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 768 GB/s |
Performance Analysis
FP16 performance defines training efficiency: the B200 delivers 4500 TFLOPS, over 116 times the RTX A6000's 38.7 TFLOPS, accelerating deep learning iterations. FP32 at 90 TFLOPS on the B200 slightly exceeds the A6000's 38.7 TFLOPS, benefiting simulation tasks. FP8 capability reaches 9000 TFLOPS on the B200, ideal for inference at scale. Vast VRAM on the B200, 192 GB versus 48 GB, accommodates full large language models without partitioning, enabling larger batch sizes. Bandwidth of 8000 GB/s on the B200, over 10 times the A6000's 768 GB/s, minimizes data transfer delays during memory-intensive operations. TDP differences, 1000W for B200 and 300W for A6000, influence power budgets in 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 A6000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A6000 48GB VRAM | 48GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX A6000 48GB VRAM | 48GB | 9 vCPU 50GB RAM | 🌍global | $0.49/GPU/hr | |||
 Hyperstack | NVIDIA RTX A6000 48GB VRAM | 48GB | 28 vCPU 58GB RAM 100GB Storage | Canada | $0.50/GPU/hr | Available | ||
Hyperstack | 2×NVIDIA RTX A6000 48GB VRAM | 48GB | 60 vCPU 116GB RAM 300GB Storage | Canada | $0.50/GPU/hr $1.00/hr total (2×) | Available | ||
 Massed Compute | NVIDIA RTX A6000 48GB VRAM | 48GB | 6 vCPU 32GB RAM 256GB Storage | Iowa | $0.55/GPU/hr | Available |
When to Choose the B200 NVL
Opt for the NVIDIA B200 in large-scale AI training where 192 GB HBM3e VRAM fits billion-parameter models entirely. Its 4500 TFLOPS FP16 and 8000 GB/s bandwidth handle massive datasets and high batch sizes efficiently. Datacenter setups with NVLink and PCIe 6.0 suit multi-GPU clusters for production inference at 9000 TFLOPS FP8.
When to Choose the RTX A6000
Select the NVIDIA RTX A6000 for cost-sensitive prototyping with cloud pricing from $0.25 per hour. Its 48 GB GDDR6 VRAM and 38.7 TFLOPS FP16 suffice for fine-tuning smaller models or Stable Diffusion generation. Lower 300W TDP fits edge or single-workstation scenarios without extensive cooling.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 enable training massive models without sharding. RTX A6000's 48 GB limits scale.
B200's 9000 TFLOPS FP8 and 8000 GB/s bandwidth deliver highest throughput for production serving. A6000 suits low-volume only.
RTX A6000's 38.7 TFLOPS FP16 handles smaller adapters affordably at $0.25 per hour. B200 excels for parameter-efficient methods on huge bases.
A6000's 48 GB GDDR6 supports high-resolution image generation at low cost. B200 overkill for typical diffusion tasks.
B200's 90 TFLOPS FP32 and NVLink connectivity accelerate simulations across nodes. A6000 adequate for single-node runs.
Frequently Asked Questions
What is the VRAM difference between NVIDIA B200 and RTX A6000?▾
The B200 offers 192 GB HBM3e VRAM, four times the RTX A6000's 48 GB GDDR6. This allows B200 to load larger models fully. Bandwidth favors B200 at 8000 GB/s over 768 GB/s.
How do FP16 performances compare?▾
B200 achieves 4500 TFLOPS FP16, exceeding RTX A6000's 38.7 TFLOPS by over 116 times. This gap transforms AI training speed. FP32 sees B200 at 90 TFLOPS versus 38.7 TFLOPS.
What are the cloud rental prices?▾
NVIDIA B200 NVL averages $10.50 per hour from one offer. RTX A6000 starts at $0.25 per hour, averaging $1.05 across 59 offers. Prices reflect performance tiers.
Which GPU has higher power consumption?▾
B200's TDP reaches 1000W, over three times RTX A6000's 300W. This demands robust cooling for B200. A6000 suits power-constrained environments.
What architectures do they use?▾
B200 uses Blackwell from 2024 for datacenter AI. RTX A6000 employs Ampere from 2020 for workstations. B200 includes FP8 at 9000 TFLOPS absent on A6000.
Which supports better interconnects?▾
B200 features NVLink, PCIe 6.0, and InfiniBand for clusters. RTX A6000 limits to PCIe and NVLink. This makes B200 ideal for multi-GPU scaling.
Which is cheaper to rent, the B200 or the RTX A6000?▾
Cloud rental prices for both the B200 and RTX A6000 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 A6000?▾
The B200 has 192 GB of HBM3e memory. The RTX A6000 has 48 GB of GDDR6 memory.
Can I find B200 and RTX A6000 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 A6000?▾
The B200 uses the Blackwell architecture (2024) while the RTX A6000 uses Ampere (2020). The B200 delivers 116.3x the FP16 throughput and 10.4x the memory bandwidth of the RTX A6000.