Specifications Compared
| Spec | B200 | QUADRO-RTX-8000 |
|---|---|---|
| TDP | 1000W | 260W |
| VRAM | 192 GB | 48 GB |
| CUDA Cores | 18,432 | 4,608 |
| Memory Type | HBM3e | GDDR6 |
| Architecture | Blackwell | Turing |
| Form Factors | SXM, NVL | PCIe |
| Interconnect | NVLink, PCIe 6.0, InfiniBand | NVLink |
| Tensor Cores | 576 | 576 |
| FP8 Performance | 9,000 TFLOPS | |
| FP16 Performance | 4,500 TFLOPS | 16.3 TFLOPS |
| FP32 Performance | 90 TFLOPS | 16.3 TFLOPS |
| FP64 Performance | 45 TFLOPS | |
| INT8 Performance | 9,000 TOPS | |
| Memory Bandwidth | 8,000 GB/s | 672 GB/s |
Performance Analysis
Memory capacity defines large-model viability: the B200 NVL's 192 GB HBM3e supports models exceeding 100 billion parameters, far beyond the Quadro RTX 8000's 48 GB GDDR6 limit. Bandwidth amplifies this: 8000 GB/s on B200 NVL sustains massive batch sizes in training, reducing epochs, whereas 672 GB/s on Quadro RTX 8000 bottlenecks datasets over 10 GB.
FP16 and FP32 metrics reveal training prowess. B200 NVL delivers 4500 TFLOPS FP16 for accelerated LLM training and 90 TFLOPS FP32 for precision simulations, dwarfing Quadro RTX 8000's matched 16.3 TFLOPS in both. The B200 NVL's FP8 at 9000 TFLOPS optimizes inference for quantized models, slashing latency by factors over 500 compared to Quadro RTX 8000.
Power draw underscores deployment gaps: B200 NVL's 1000W TDP suits data centers, while Quadro RTX 8000's 260W fits workstations. Interconnects like PCIe 6.0 and InfiniBand on B200 NVL enable multi-GPU clusters, unavailable at scale on Quadro RTX 8000.
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 |
When to Choose the B200 NVL
The NVIDIA B200 NVL excels in large-scale AI training and inference where 192 GB HBM3e and 8000 GB/s bandwidth handle models with batch sizes over 1000. Cloud availability at $10.50 per hour across NVIDIA B200 NVL instances supports rapid prototyping for enterprises scaling LLMs. FP8 performance of 9000 TFLOPS ensures low-latency serving for production inference.
Scientific simulations demanding 4500 TFLOPS FP16 benefit from NVLink and InfiniBand interconnects in NVL form factors.
When to Choose the Quadro RTX 8000
The NVIDIA Quadro RTX 8000 suits legacy professional visualization and CAD workflows on PCIe workstations with 48 GB GDDR6. Its 260W TDP enables deployment in power-constrained environments without data center cooling. Users with existing Turing-era setups avoid migration costs, leveraging 16.3 TFLOPS FP32 for rendering tasks.
No live cloud offers exist, making it ideal for on-premises persistence where AI scale is unnecessary.
Use Cases
B200 NVL's 4500 TFLOPS FP16 and 192 GB HBM3e support massive models and batch sizes unattainable on Quadro RTX 8000's 16.3 TFLOPS and 48 GB.
9000 TFLOPS FP8 and 8000 GB/s bandwidth on B200 NVL deliver sub-second latencies for large-scale serving, far exceeding Quadro RTX 8000 capabilities.
90 TFLOPS FP32 and high memory on B200 NVL accelerate parameter-efficient fine-tuning, while Quadro RTX 8000 bottlenecks at 16.3 TFLOPS.
B200 NVL's superior FP16 and VRAM handle high-resolution generations at scale; Quadro RTX 8000 suffices for basic use but limits throughput.
4500 TFLOPS FP16 and InfiniBand on B200 NVL enable complex simulations; Quadro RTX 8000's 16.3 TFLOPS restricts to smaller datasets.
Frequently Asked Questions
What is the VRAM difference between NVIDIA B200 NVL and Quadro RTX 8000?▾
NVIDIA B200 NVL offers 192 GB HBM3e, quadrupling the Quadro RTX 8000's 48 GB GDDR6. This enables larger models on B200 NVL. Bandwidth reaches 8000 GB/s on B200 NVL versus 672 GB/s.
How do FP16 performances compare?▾
B200 NVL achieves 4500 TFLOPS FP16, over 276 times the Quadro RTX 8000's 16.3 TFLOPS. This gap accelerates AI training significantly. FP32 is 90 TFLOPS on B200 NVL versus 16.3 TFLOPS.
What are the power requirements?▾
B200 NVL has a 1000W TDP for data center use, compared to Quadro RTX 8000's 260W for workstations. This reflects their workload scales. Form factors are SXM/NVL versus PCIe.
Is NVIDIA B200 NVL available in the cloud?▾
Cloud pricing for NVIDIA B200 NVL starts at $10.50 per hour across one live offer. Quadro RTX 8000 has no live cloud offers. Interconnects include PCIe 6.0 and InfiniBand on B200 NVL.
Which has better memory bandwidth?▾
B200 NVL provides 8000 GB/s, nearly 12 times the Quadro RTX 8000's 672 GB/s. This impacts large batch processing. HBM3e versus GDDR6 contributes to the difference.
What architectures do they use?▾
B200 NVL uses Blackwell from 2024; Quadro RTX 8000 uses Turing from 2018. FP8 support at 9000 TFLOPS is exclusive to B200 NVL. Architectures drive the performance chasm.
Which is cheaper to rent, the B200 or the Quadro RTX 8000?▾
Cloud rental prices for both the B200 and Quadro RTX 8000 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 8000?▾
The B200 has 192 GB of HBM3e memory. The Quadro RTX 8000 has 48 GB of GDDR6 memory.
Can I find B200 and Quadro RTX 8000 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 8000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro RTX 8000 uses Turing (2018). The B200 delivers 276.1x the FP16 throughput and 11.9x the memory bandwidth of the Quadro RTX 8000.