Specifications Compared
| Spec | B200 | QUADRO-P4000 |
|---|---|---|
| TDP | 1000W | 105W |
| VRAM | 192 GB | 8 GB |
| CUDA Cores | 18,432 | 1,792 |
| Memory Type | HBM3e | GDDR5 |
| Architecture | Blackwell | Pascal |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 5.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 5.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 243 GB/s |
Performance Analysis
Raw compute metrics highlight transformative differences: B200's 4500 TFLOPS FP16 enables training of billion-parameter LLMs in hours, while P4000's 5.3 TFLOPS FP16 limits it to small models or non-AI tasks. The FP16 to FP32 ratio on B200, 4500 TFLOPS to 90 TFLOPS, optimizes tensor cores for deep learning training and inference, unlike P4000's balanced 5.3 TFLOPS in both for graphics rendering.
Memory systems dictate scalability: B200's 8000 GB/s bandwidth supports batch sizes for models over 100 GB, slashing iteration times; P4000's 243 GB/s bottlenecks datasets beyond 8 GB VRAM, forcing gradient accumulation or CPU offload. In inference, B200's 9000 TFLOPS FP8 delivers millions of tokens per second, versus P4000's inadequacy for modern serving.
Power draw underscores efficiency: B200's 1000W TDP fuels peak performance in clusters, while P4000's 105W suits edge or desktop without cooling demands.
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 |
Quadro P4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.51/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | 2×NVIDIA Quadro P4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.51/GPU/hr $1.02/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.51/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro P4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.51/GPU/hr | Available |
When to Choose the B200 NVL
The B200 suits demanding AI and HPC workloads: its 192 GB HBM3e VRAM loads full precision LLMs exceeding 70B parameters, impossible on P4000's 8 GB. Deploy it for training where 4500 TFLOPS FP16 accelerates convergence by orders of magnitude.
Cloud users prioritize B200 NVL at $10.50 per hour for NVLink interconnects enabling multi-GPU scaling via PCIe 6.0.
When to Choose the Quadro P4000
The Quadro P4000 fits budget-conscious legacy applications: its $0.51 per hour pricing and 105W TDP minimize costs for light CAD, legacy simulations, or visualization under 8 GB datasets.
Choose it for single-user workstations via PCIe form factor where 5.3 TFLOPS FP32 suffices without modern AI needs.
Use Cases
B200's 192 GB VRAM and 4500 TFLOPS FP16 handle massive models; P4000's 8 GB and 5.3 TFLOPS cannot load or train them efficiently.
B200's 9000 TFLOPS FP8 supports high-throughput serving; P4000 lacks bandwidth and compute for real-time queries.
B200's 8000 GB/s bandwidth enables large batch sizes on 192 GB VRAM; P4000 bottlenecks at 243 GB/s and 8 GB.
B200 generates images at scale with 4500 TFLOPS FP16; P4000's 5.3 TFLOPS limits resolution and speed.
B200's 90 TFLOPS FP32 and NVLink excel in simulations; P4000 suits only small-scale at 5.3 TFLOPS.
Frequently Asked Questions
How much more VRAM does the B200 have than the Quadro P4000?▾
The B200 provides 192 GB HBM3e VRAM, 24 times more than the Quadro P4000's 8 GB GDDR5. This enables handling datasets and models far beyond P4000 capabilities.
What is the FP16 performance difference between B200 and Quadro P4000?▾
B200 delivers 4500 TFLOPS FP16, over 849 times the Quadro P4000's 5.3 TFLOPS. This gap accelerates AI training dramatically on B200.
How do memory bandwidths compare for NVIDIA B200 NVL and Quadro P4000?▾
B200 NVL offers 8000 GB/s, about 33 times the Quadro P4000's 243 GB/s. Higher bandwidth on B200 supports larger batches without slowdowns.
What are the power requirements of B200 versus Quadro P4000?▾
B200 has a 1000W TDP for peak compute, while Quadro P4000 uses 105W. P4000 fits low-power setups; B200 requires data center cooling.
What is the cloud pricing for B200 NVL and Quadro P4000?▾
B200 NVL starts at $10.50 per hour across one offer; Quadro P4000 at $0.51 per hour across six offers. P4000 provides value for light tasks.
Can Quadro P4000 handle modern LLM inference?▾
Quadro P4000's 8 GB VRAM and 5.3 TFLOPS FP16 cannot serve LLMs over 7B parameters efficiently. B200's specs make it viable.
Which is cheaper to rent, the B200 or the Quadro P4000?▾
Cloud rental prices for both the B200 and Quadro P4000 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 Quadro P4000?▾
The B200 has 192 GB of HBM3e memory. The Quadro P4000 has 8 GB of GDDR5 memory.
Can I find B200 and Quadro P4000 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 Quadro P4000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro P4000 uses Pascal (2017). The B200 delivers 849.1x the FP16 throughput and 32.9x the memory bandwidth of the Quadro P4000.