Specifications Compared
| Spec | B200 | RTX-A4000 |
|---|---|---|
| TDP | 1000W | 140W |
| VRAM | 192 GB | 16 GB |
| CUDA Cores | 18,432 | 6,144 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Ampere |
| 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 | 19.2 TFLOPS |
| FP32 Performance | 90 TFLOPS | 19.2 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 448 GB/s |
Performance Analysis
B200 SXM dominates compute: its 4500 TFLOPS FP16 accelerates deep learning training and inference far beyond RTX A4500's 19.2 TFLOPS. The FP16/FP32 ratio of 50:1 on B200 SXM optimizes mixed-precision workflows in modern AI, while RTX A4500's 1:1 parity suits graphics rendering over tensor-heavy operations.
Massive 192 GB VRAM on B200 SXM enables huge batch sizes for large models, avoiding swaps that hinder RTX A4500's 16 GB limit. Bandwidth of 8000 GB/s versus 448 GB/s ensures B200 SXM sustains high throughput in data-parallel training, supporting larger batches without bottlenecks.
TDP reaches 1000W on B200 SXM for high-density servers with NVLink and PCIe 6.0, contrasting RTX A4500's 140W PCIe form factor for power-constrained or single-node setups.
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 A4500
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 TensorDock | NVIDIA RTX A4000 16GB VRAM | 16GB | 0 vCPU 0GB RAM | Tallinn, Harjumaa | $0.08/GPU/hr | Available | ||
 Vast.ai | 8×NVIDIA RTX A4000 16GB VRAM | 16GB | 80 vCPU 201GB RAM 1698GB Storage | United Kingdom | $0.15/GPU/hr $1.17/hr total (8×) | Available | ||
 Hyperstack | 4×NVIDIA RTX A4000 16GB VRAM | 16GB | 16 vCPU 86GB RAM 500GB Storage | Norway | $0.15/GPU/hr $0.60/hr total (4×) | Available | ||
Hyperstack | 2×NVIDIA RTX A4000 16GB VRAM | 16GB | 8 vCPU 43GB RAM 200GB Storage | Norway | $0.15/GPU/hr $0.30/hr total (2×) | Available | ||
Hyperstack | NVIDIA RTX A4000 16GB VRAM | 16GB | 4 vCPU 21GB RAM 100GB Storage | Norway | $0.15/GPU/hr | Available |
When to Choose the B200 SXM
B200 SXM suits large-scale AI training and inference: 192 GB HBM3e handles models exceeding 16 GB, with 4500 TFLOPS FP16 enabling rapid iterations. Scientific computing benefits from 90 TFLOPS FP32 and 8000 GB/s bandwidth for simulations.
Cloud deployments prioritizing speed over cost select B200 SXM at $1.71 per hour starting price, leveraging NVLink for multi-GPU scaling.
When to Choose the RTX A4500
RTX A4500 fits budget visualization and small ML tasks: $0.10 per hour pricing and 140W TDP support CAD, rendering, or edge inference without high overhead. 19.2 TFLOPS FP32 performs adequately for workloads under 16 GB VRAM.
Users avoid overprovisioning choose RTX A4500 for Stable Diffusion or prototyping where 448 GB/s bandwidth suffices.
Use Cases
B200 SXM's 192 GB VRAM and 4500 TFLOPS FP16 manage massive LLMs that RTX A4500's 16 GB cannot load.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 SXM enable high-throughput serving; A4500 limits scale.
Small adapters fit RTX A4500's 16 GB at low cost; large models require B200 SXM's capacity.
RTX A4500's 19.2 TFLOPS FP32 and $0.10 per hour pricing handle image generation efficiently.
B200 SXM's 90 TFLOPS FP32 and NVLink support complex HPC simulations beyond A4500's scope.
Frequently Asked Questions
What is the VRAM capacity of NVIDIA B200 SXM versus RTX A4500?▾
B200 SXM features 192 GB HBM3e. RTX A4500 provides 16 GB GDDR6. The difference supports vastly larger models on B200 SXM.
How does memory bandwidth compare?▾
B200 SXM reaches 8000 GB/s. RTX A4500 offers 448 GB/s. Higher bandwidth on B200 SXM boosts data-heavy workloads.
What are the current cloud pricing ranges?▾
B200 SXM starts at $1.71 per hour, averaging $4.60 per hour across 13 offers. RTX A4500 begins at $0.10 per hour, averaging $0.19 per hour across 4 offers.
Which GPU consumes more power?▾
B200 SXM has a 1000W TDP for datacenter use. RTX A4500 uses 140W, suitable for workstations.
What FP16 performance do they deliver?▾
B200 SXM achieves 4500 TFLOPS FP16. RTX A4500 provides 19.2 TFLOPS FP16. B200 SXM excels in AI acceleration.
What architectures power these GPUs?▾
B200 SXM uses Blackwell from 2024. RTX A4500 employs Ampere from 2021.
Which is cheaper to rent, the B200 or the RTX A4000?▾
Cloud rental prices for both the B200 and RTX A4000 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 A4000?▾
The B200 has 192 GB of HBM3e memory. The RTX A4000 has 16 GB of GDDR6 memory.
Can I find B200 and RTX A4000 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 A4000?▾
The B200 uses the Blackwell architecture (2024) while the RTX A4000 uses Ampere (2021). The B200 delivers 234.4x the FP16 throughput and 17.9x the memory bandwidth of the RTX A4000.