Specifications Compared
| Spec | B200 | RTX-5000-ADA |
|---|---|---|
| TDP | 1000W | 250W |
| VRAM | 192 GB | 32 GB |
| CUDA Cores | 18,432 | 12,800 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ada Lovelace |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 400 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 65.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 65.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | 1,044 TOPS |
| Memory Bandwidth | 8,000 GB/s | 576 GB/s |
Performance Analysis
The NVIDIA B200 SXM's FP16 performance reaches 4500 TFLOPS, over 69 times the RTX 5000 Ada Generation's 65.3 TFLOPS: this disparity accelerates deep learning training where half-precision tensor operations prevail. FP32 throughput on B200 SXM hits 90 TFLOPS, surpassing the 65.3 TFLOPS of RTX 5000 Ada, yet the B200's FP8 capability at 9000 TFLOPS optimizes inference for deployed LLMs with quantized models. Memory bandwidth defines workload feasibility: 8000 GB/s on B200 SXM supports batch sizes for models over 100 billion parameters, enabling efficient gradient accumulation, whereas 576 GB/s on RTX 5000 Ada limits scaling and increases latency in memory-bound tasks. Power draw reflects intent, with B200 SXM at 1000W for sustained datacenter loads versus 250W for RTX 5000 Ada's edge deployments. Interconnects further the divide: NVLink, PCIe 6.0, and InfiniBand on B200 SXM facilitate multi-GPU clusters, absent on the PCIe-only RTX 5000 Ada.
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 5000 Ada Generation
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 0 vCPU 0GB RAM | Chubbuck, Idaho | $0.55/GPU/hr | Available | ||
RunPod | NVIDIA RTX 5000 Ada Generation 32GB VRAM | 32GB | 10 vCPU 83GB RAM | 🌍global | $0.83/GPU/hr |
When to Choose the B200 SXM
The NVIDIA B200 SXM excels in datacenter environments for LLM training and large-scale inference: 192 GB HBM3e VRAM accommodates models beyond 32 GB capacity of RTX 5000 Ada, while 4500 TFLOPS FP16 cuts training time dramatically. High 8000 GB/s bandwidth handles massive datasets without bottlenecks, ideal for enterprises scaling to production. NVLink and InfiniBand enable seamless multi-node setups unavailable on workstation GPUs.
When to Choose the RTX 5000 Ada Generation
The NVIDIA RTX 5000 Ada Generation fits cost-sensitive prototyping and smaller AI tasks: pricing from $0.25 per hour suits experimentation, far below B200 SXM's $1.71 minimum. Its 250W TDP supports office or edge workstations without datacenter cooling, and 32 GB VRAM suffices for fine-tuning models under 20 billion parameters or Stable Diffusion generation. PCIe form factor simplifies single-user deployments.
Use Cases
B200 SXM's 4500 TFLOPS FP16 and 192 GB VRAM support training models over 100B parameters; RTX 5000 Ada's 65.3 TFLOPS and 32 GB cannot scale equivalently.
9000 TFLOPS FP8 on B200 SXM optimizes high-throughput serving; 8000 GB/s bandwidth handles large batches, outperforming RTX 5000 Ada's limits.
192 GB VRAM on B200 SXM fits full model fine-tuning without sharding; 90 TFLOPS FP32 exceeds RTX 5000 Ada's 65.3 TFLOPS for faster iterations.
RTX 5000 Ada's 32 GB VRAM and 65.3 TFLOPS FP16 suffice for image generation at $0.25 per hour; B200 SXM's capacity exceeds typical needs.
B200 SXM's 90 TFLOPS FP32 and PCIe 6.0 handle simulations with large datasets; 1000W TDP supports prolonged high-precision runs over RTX 5000 Ada.
Frequently Asked Questions
How much VRAM does the NVIDIA B200 SXM have compared to RTX 5000 Ada Generation?▾
The B200 SXM provides 192 GB HBM3e VRAM, exactly six times the 32 GB GDDR6 in the RTX 5000 Ada Generation. This enables B200 SXM to load massive AI models without offloading. RTX 5000 Ada suits smaller workloads constrained by memory.
What are the current cloud pricing differences?▾
NVIDIA B200 SXM pricing starts at $1.71 per hour with an average of $4.60 across 13 offers. RTX 5000 Ada Generation begins at $0.25 per hour averaging $0.51 across 5 offers. Lower costs make RTX ideal for testing.
Which GPU has higher FP16 performance?▾
B200 SXM achieves 4500 TFLOPS FP16, over 69 times the RTX 5000 Ada Generation's 65.3 TFLOPS. This boosts training speed on B200 SXM significantly. Inference also benefits from B200's FP8 at 9000 TFLOPS.
What is the memory bandwidth gap?▾
B200 SXM delivers 8000 GB/s bandwidth, about 14 times the 576 GB/s of RTX 5000 Ada Generation. Higher bandwidth on B200 supports larger batch sizes in training. RTX limits scale in memory-intensive tasks.
Which has lower power consumption?▾
RTX 5000 Ada Generation uses 250W TDP, one-fourth of B200 SXM's 1000W. This favors RTX for power-constrained setups like workstations. B200 requires datacenter infrastructure.
What architectures do they use?▾
B200 SXM runs Blackwell from 2024 with NVLink interconnects. RTX 5000 Ada Generation uses Ada Lovelace from 2023 in PCIe form. Blackwell advances AI efficiency over Ada.
Which is cheaper to rent, the B200 or the RTX 5000 Ada?▾
Cloud rental prices for both the B200 and RTX 5000 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 5000 Ada?▾
The B200 has 192 GB of HBM3e memory. The RTX 5000 Ada has 32 GB of GDDR6 memory.
Can I find B200 and RTX 5000 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 5000 Ada?▾
The B200 uses the Blackwell architecture (2024) while the RTX 5000 Ada uses Ada Lovelace (2023). The B200 delivers 68.9x the FP16 throughput and 13.9x the memory bandwidth of the RTX 5000 Ada.