Specifications Compared
| Spec | B200 | QUADRO-RTX-6000 |
|---|---|---|
| TDP | 1000W | 260W |
| VRAM | 192 GB | 24 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
The B200's FP16 throughput of 4500 TFLOPS dramatically exceeds the Quadro RTX 6000's 16.3 TFLOPS, accelerating deep learning training where half-precision arithmetic prevails and enabling models with billions of parameters. FP32 performance follows suit at 90 TFLOPS for the B200 versus 16.3 TFLOPS for the Quadro, supporting scientific simulations but revealing the B200's edge in precision-balanced pipelines. The FP16 to FP32 delta on the B200 indicates optimized tensor cores for inference, contrasting the Quadro's balanced but dated design. Memory bandwidth of 8000 GB/s on the B200 permits batch sizes up to 30 times larger than the Quadro's 672 GB/s constraint, slashing training epochs for large language models. In inference scenarios, the B200's FP8 at 9000 TFLOPS delivers sub-millisecond latencies for enterprise serving, unavailable on the Quadro.
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 suits large-scale AI deployments in the cloud, where its 192 GB HBM3e VRAM and 8000 GB/s bandwidth handle models exceeding 70 billion parameters. Data scientists opt for it at $10.50 per hour for LLM training or inference on platforms offering NVLink and PCIe 6.0 interconnects. Its 1000W TDP aligns with hyperscale racks, unavailable in workstation contexts.
When to Choose the Quadro RTX 6000
The NVIDIA Quadro RTX 6000 fits on-premises workstations with its 260W TDP and PCIe form factor, conserving power in office environments. CAD professionals or legacy visualization users prefer it for tasks within 24 GB GDDR6 limits, avoiding cloud costs since no live offers exist. Its NVLink support enables modest multi-GPU setups without datacenter infrastructure.
Use Cases
The B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support massive datasets and models over 100 billion parameters. The Quadro's 24 GB GDDR6 cannot accommodate such scales.
With 9000 TFLOPS FP8 and 8000 GB/s bandwidth, the B200 serves high-throughput queries efficiently. The Quadro's 16.3 TFLOPS FP16 limits real-time deployment.
The B200's 90 TFLOPS FP32 and high bandwidth enable rapid iterations on large models. The Quadro struggles with batch sizes beyond its 672 GB/s capacity.
B200's 4500 TFLOPS FP16 accelerates diffusion model generation at high resolutions. Quadro's dated 16.3 TFLOPS yields slower renders.
The B200's 90 TFLOPS FP32 and 192 GB VRAM process complex simulations swiftly. The Quadro's equivalent 16.3 TFLOPS FP32 confines it to smaller problems.
Frequently Asked Questions
What is the VRAM capacity of the NVIDIA B200 versus Quadro RTX 6000?▾
The B200 features 192 GB HBM3e VRAM, while the Quadro RTX 6000 has 24 GB GDDR6. This eightfold difference allows the B200 to load models up to 175 GB without swapping. The Quadro suits smaller datasets under 20 GB.
How do memory bandwidths compare between these GPUs?▾
The B200 delivers 8000 GB/s, over 11 times the Quadro RTX 6000's 672 GB/s. Higher bandwidth on the B200 supports larger batch sizes in training. The Quadro faces bottlenecks in data-intensive tasks.
What are the FP16 performance figures?▾
The B200 achieves 4500 TFLOPS in FP16, compared to 16.3 TFLOPS on the Quadro RTX 6000. This gap favors the B200 for AI training by over 275 times. Inference workloads see similar acceleration.
What is the cloud pricing for these GPUs?▾
NVIDIA B200 NVL starts at $10.50 per hour with one live offer. The Quadro RTX 6000 has no live cloud offers available. Local workstation use keeps Quadro costs lower long-term.
How do power requirements differ?▾
The B200 requires 1000W TDP for datacenter use, versus the Quadro RTX 6000's 260W. Lower TDP makes the Quadro suitable for desktops. B200 demands robust cooling infrastructure.
Which GPU supports newer interconnects?▾
The B200 includes NVLink, PCIe 6.0, and InfiniBand, beyond the Quadro RTX 6000's NVLink and PCIe. This enables faster multi-GPU scaling on B200. Quadro fits single-node workstations.
Which is cheaper to rent, the B200 or the Quadro RTX 6000?▾
Cloud rental prices for both the B200 and Quadro RTX 6000 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 6000?▾
The B200 has 192 GB of HBM3e memory. The Quadro RTX 6000 has 24 GB of GDDR6 memory.
Can I find B200 and Quadro RTX 6000 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 6000?▾
The B200 uses the Blackwell architecture (2024) while the Quadro RTX 6000 uses Turing (2018). The B200 delivers 276.1x the FP16 throughput and 11.9x the memory bandwidth of the Quadro RTX 6000.