Specifications Compared
| Spec | B200 | QUADRO-RTX-4000 |
|---|---|---|
| TDP | 1000W | 160W |
| VRAM | 192 GB | 8 GB |
| CUDA Cores | 18,432 | 2,304 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | |
| Tensor Cores | 576 | 288 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 7.1 TFLOPS |
| FP32 Performance | 90 TFLOPS | 7.1 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 416 GB/s |
Performance Analysis
The B200's compute prowess dominates: its 4500 TFLOPS FP16 performance enables rapid AI model training, where the Quadro RTX 4000's 7.1 TFLOPS limits it to small-scale tasks. For FP32 workloads like simulations, the B200 delivers 90 TFLOPS against the Quadro's 7.1 TFLOPS, accelerating general-purpose computing by over 12 times.
FP8 performance on the B200 reaches 9000 TFLOPS, ideal for inference on quantized models, a capability absent in the Turing-based Quadro RTX 4000. The FP16 to FP32 delta on the B200 favors mixed-precision training, reducing memory usage while maintaining speed, unlike the balanced but low 7.1 TFLOPS across both precisions on the Quadro.
Memory specifications transform real-world usage: 192 GB HBM3e on the B200 supports massive batch sizes in deep learning, preventing out-of-memory errors common with the Quadro RTX 4000's 8 GB GDDR6. Bandwidth of 8000 GB/s versus 416 GB/s ensures the B200 handles large datasets without bottlenecks, improving throughput in data-intensive inference by orders of magnitude.
Live Cloud Pricing
Real-time prices from 25+ providers. Updated every 60 seconds.
B200
| 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 | North Carolina | $5.89/GPU/hr |
Quadro RTX 4000
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | New York | $0.56/GPU/hr | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Canada | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | New York | $0.56/GPU/hr $1.12/hr total (2×) | Available | ||
Paperspace | NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 8 vCPU 30GB RAM 50GB Storage | Amsterdam | $0.56/GPU/hr | Available | ||
Paperspace | 2×NVIDIA Quadro RTX 4000 8GB VRAM | 8GB | 16 vCPU 60GB RAM 50GB Storage | Canada | $0.56/GPU/hr $1.12/hr total (2×) | Available |
When to Choose the B200
The B200 suits large-scale AI deployments: its 192 GB HBM3e VRAM and 8000 GB/s bandwidth handle LLM training with batch sizes infeasible on the Quadro RTX 4000's 8 GB GDDR6. Users processing models exceeding 70 billion parameters or requiring FP8 inference at 9000 TFLOPS select the B200 for speedups in cloud environments starting at $1.71 per hour.
High TDP of 1000W and NVLink interconnects make the B200 optimal for clustered scientific computing or Stable Diffusion at scale, where the Quadro RTX 4000's 160W PCIe form factor falls short.
When to Choose the Quadro RTX 4000
The Quadro RTX 4000 fits budget-conscious visualization tasks: its $0.56 per hour pricing and 8 GB GDDR6 suffice for CAD rendering or light fine-tuning on models under 1 billion parameters. Legacy software optimized for Turing architecture runs efficiently without the B200's overhead.
Low 160W TDP and PCIe form factor appeal to single-workstation setups where power efficiency trumps raw compute, avoiding the B200's 1000W demands.
Use Cases
The B200's 4500 TFLOPS FP16 and 192 GB HBM3e VRAM enable training of large models with huge batch sizes. The Quadro RTX 4000's 7.1 TFLOPS and 8 GB GDDR6 cannot handle such scales.
FP8 at 9000 TFLOPS and 8000 GB/s bandwidth on the B200 support high-throughput quantized inference. The Quadro RTX 4000 lacks FP8 and sufficient memory for production loads.
B200's 90 TFLOPS FP32 and vast VRAM accelerate fine-tuning of mid-to-large models. Quadro RTX 4000 suits only tiny models due to 7.1 TFLOPS limits.
192 GB VRAM on B200 allows high-resolution generation at scale with 4500 TFLOPS FP16. Quadro RTX 4000's 8 GB restricts it to basic image sizes.
NVLink and PCIe 6.0 on B200 enable multi-GPU simulations at 90 TFLOPS FP32. Quadro RTX 4000's PCIe-only setup limits complex workloads.
Frequently Asked Questions
What is the VRAM difference between B200 and Quadro RTX 4000?▾
The B200 offers 192 GB HBM3e VRAM, compared to 8 GB GDDR6 on the Quadro RTX 4000. This 24-fold increase supports larger models and batch sizes in AI tasks.
How do their memory bandwidths compare?▾
B200 achieves 8000 GB/s bandwidth, vastly exceeding the Quadro RTX 4000's 416 GB/s. Higher bandwidth reduces data transfer bottlenecks in training and inference.
What are the FP16 performance specs?▾
B200 delivers 4500 TFLOPS in FP16, while Quadro RTX 4000 provides 7.1 TFLOPS. This gap makes B200 ideal for deep learning acceleration.
Which has lower cloud pricing?▾
Quadro RTX 4000 starts at $0.56 per hour across 5 offers, versus B200's $1.71 per hour average $4.61 across 16 offers. Budget tasks favor the Quadro.
What are their TDPs?▾
B200 requires 1000W TDP, suited for data centers, while Quadro RTX 4000 uses 160W for workstations. Power efficiency points to Quadro for light use.
When was each architecture released?▾
Blackwell for B200 launched in 2024; Turing for Quadro RTX 4000 in 2018. The six-year gap explains B200's superior specs.
Which is cheaper to rent, the B200 or the Quadro RTX 4000?▾
Cloud rental prices for both the B200 and Quadro RTX 4000 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 RTX 4000?▾
The B200 has 192 GB of HBM3e memory. The Quadro RTX 4000 has 8 GB of GDDR6 memory.
Can I find B200 and Quadro RTX 4000 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 RTX 4000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro RTX 4000 uses Turing (2018). The B200 delivers 633.8x the FP16 throughput and 19.2x the memory bandwidth of the Quadro RTX 4000.