Specifications Compared
| Spec | B200 | RTX-4000-ADA |
|---|---|---|
| TDP | 1000W | 130W |
| VRAM | 192 GB | 20 GB |
| CUDA Cores | 18,432 | 6,144 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 192 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 26.7 TFLOPS |
| FP32 Performance | 90 TFLOPS | 26.7 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 427 TOPS |
| Memory Bandwidth | 8,000 GB/s | 360 GB/s |
Performance Analysis
The B200's FP16 performance reaches 4500 TFLOPS and FP32 90 TFLOPS, compared to 26.7 TFLOPS for both on the RTX 4000 Ada, translating to over 168 times faster tensor operations for deep learning training. This delta accelerates gradient computations in model training, reducing epochs from days to hours on large datasets. FP8 at 9000 TFLOPS on B200 further boosts inference efficiency for quantized LLMs.
Memory bandwidth of 8000 GB/s on B200 supports enormous batch sizes in training, minimizing data loading stalls, whereas 360 GB/s on RTX 4000 Ada limits batches to smaller scales suitable for inference or fine-tuning. The B200's 1000W TDP enables sustained peaks, unlike the 130W Ada GPU constrained for power-sensitive setups.
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 4000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.26/GPU/hr | |||
 Vast.ai | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 64 vCPU 42GB RAM 505GB Storage | Hungary | $0.40/GPU/hr | Available | ||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 8 vCPU 50GB RAM | 🌍global | $0.44/GPU/hr | |||
RunPod | NVIDIA RTX 4000 Ada Generation 20GB VRAM | 20GB | 0 vCPU 0GB RAM | 🌍global | $0.57/GPU/hr |
When to Choose the B200 NVL
Select the B200 for large-scale AI training or inference requiring 192 GB VRAM, such as trillion-parameter LLMs or multi-GPU clusters via NVLink and PCIe 6.0. Its 4500 TFLOPS FP16 handles compute-intensive scientific simulations or generative AI at scale, where $10.50 per hour delivers unmatched throughput.
When to Choose the RTX 4000 Ada Generation
Choose RTX 4000 Ada for cost-sensitive development, prototyping, or edge deployments at $0.09 to $0.27 per hour with 130W TDP. It suffices for fine-tuning models under 20 GB VRAM or Stable Diffusion rendering in workstations, offering PCIe form factor simplicity.
Use Cases
B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support massive models and large batches unattainable with RTX 4000 Ada's 20 GB GDDR6.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 enable high-throughput serving of large LLMs, far beyond RTX 4000 Ada's 26.7 TFLOPS.
RTX 4000 Ada's 20 GB VRAM and 26.7 TFLOPS FP16 handle smaller model adaptations cost-effectively at $0.27 per hour average.
RTX 4000 Ada's 360 GB/s bandwidth and 130W TDP suit image generation workflows efficiently without B200's overkill 1000W and $10.50 per hour.
B200's 90 TFLOPS FP32 and NVLink interconnect excel in parallel simulations needing 192 GB VRAM, outperforming RTX 4000 Ada's limits.
Frequently Asked Questions
What is the VRAM difference between B200 and RTX 4000 Ada?▾
The B200 offers 192 GB HBM3e VRAM, while RTX 4000 Ada provides 20 GB GDDR6. This 9.6x gap allows B200 to load vastly larger models for training.
How do FP16 performances compare?▾
B200 achieves 4500 TFLOPS FP16 versus 26.7 TFLOPS on RTX 4000 Ada, a 168x advantage. This speeds up AI training significantly.
What are the cloud pricing ranges?▾
B200 NVL starts at $10.50 per hour average across 1 offer. RTX 4000 Ada ranges from $0.09 per hour, averaging $0.27 across 10 offers.
Which has higher memory bandwidth?▾
B200 delivers 8000 GB/s, over 22 times the RTX 4000 Ada's 360 GB/s. Higher bandwidth supports larger batch sizes in ML workloads.
What are the TDP ratings?▾
B200 requires 1000W TDP for peak performance, compared to RTX 4000 Ada's 130W. Ada suits low-power environments.
Which architecture is newer?▾
B200 uses 2024 Blackwell architecture; RTX 4000 Ada uses 2023 Ada Lovelace. Blackwell brings FP8 and enhanced AI capabilities.
Which is cheaper to rent, the B200 or the RTX 4000 Ada?▾
Cloud rental prices for both the B200 and RTX 4000 Ada 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 4000 Ada?▾
The B200 has 192 GB of HBM3e memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.
Can I find B200 and RTX 4000 Ada 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 4000 Ada?▾
The B200 uses the Blackwell architecture (2024) while the RTX 4000 Ada uses Ada Lovelace (2023). The B200 delivers 168.5x the FP16 throughput and 22.2x the memory bandwidth of the RTX 4000 Ada.