B200 NVL vs Quadro RTX 4000

BlackwellvsTuringUpdated 35 days ago

B200 emerges as the clear winner for prevalent AI and machine learning use cases due to its 4500 TFLOPS FP16, 192 GB VRAM, and 8000 GB/s bandwidth, which dwarf Quadro RTX 4000's 7.1 TFLOPS and 8 GB capacities for handling modern large models.

B200 NVL from $3.95/hrQuadro RTX 4000 from $0.56/hr

Specifications Compared

SpecB200QUADRO-RTX-4000
TDP1000W160W
VRAM192 GB8 GB
CUDA Cores18,4322,304
Memory TypeHBM3eGDDR6
ArchitectureBlackwellTuring
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBand
Tensor Cores576288
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS7.1 TFLOPS
FP32 Performance90 TFLOPS7.1 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS
Memory Bandwidth8,000 GB/s416 GB/s

Performance Analysis

B200's FP16 performance reaches 4500 TFLOPS, which exceeds Quadro RTX 4000's 7.1 TFLOPS by over 630 times, accelerating deep learning training where half-precision computations reduce memory usage and speed up iterations. Its FP32 throughput of 90 TFLOPS, compared to 7.1 TFLOPS, supports more accurate simulations in scientific computing that demand single-precision arithmetic. The FP16 to FP32 ratio on B200 enables efficient mixed-precision training pipelines, unlike the balanced but low 7.1 TFLOPS on Quadro RTX 4000.

Memory bandwidth presents another divide: B200's 8000 GB/s permits large batch sizes in model inference, handling datasets that exceed Quadro RTX 4000's 416 GB/s capacity and causing bottlenecks in memory-intensive tasks. B200's 192 GB HBM3e VRAM supports massive models without swapping, while Quadro RTX 4000's 8 GB GDDR6 restricts it to smaller batches or models. These specs translate to B200 enabling enterprise-scale AI deployments and Quadro RTX 4000 suiting entry-level prototyping.

Live Cloud Pricing

Real-time prices from 25+ providers. Updated every 60 seconds.

B200 NVL

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Nebius
Nebius
NVIDIA B200 SXM
192GB VRAM
$3.95/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$4.79/GPU/hr
$38.32/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.39/GPU/hr
$43.12/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA B200 SXM
192GB VRAM
$5.69/GPU/hr
$45.52/hr total (8×)
RunPod
RunPod
NVIDIA B200 SXM
192GB VRAM
$5.89/GPU/hr

Quadro RTX 4000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
$1.12/hr total (2×)
Available
Paperspace
Paperspace
NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
Available
Paperspace
Paperspace
2×NVIDIA Quadro RTX 4000
8GB VRAM
$0.56/GPU/hr
$1.12/hr total (2×)
Available

Compare real-time pricing across 25+ providers

When to Choose the B200 NVL

B200 excels in large-scale AI training and inference scenarios requiring over 192 GB VRAM, such as trillion-parameter LLMs, where its 4500 TFLOPS FP16 and 8000 GB/s bandwidth process enormous datasets efficiently. Datacenter users benefit from NVLink interconnects and 1000W TDP in SXM or NVL form factors for multi-GPU clusters at $10.50 per hour.

When to Choose the Quadro RTX 4000

Quadro RTX 4000 suits budget-conscious professional visualization, CAD, and light rendering tasks with its 160W TDP and PCIe form factor, available at $0.56 per hour. It handles workflows like 3D modeling where 8 GB VRAM and 7.1 TFLOPS suffice without needing datacenter-scale resources.

Use Cases

LLM Training
B200 NVL

B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 support training of massive LLMs; Quadro RTX 4000's 8 GB VRAM cannot accommodate large models.

LLM Inference
B200 NVL

B200's 9000 TFLOPS FP8 and 8000 GB/s bandwidth enable high-throughput inference at scale; Quadro RTX 4000's 416 GB/s limits batch sizes.

Fine-tuning
B200 NVL

B200's 90 TFLOPS FP32 and vast memory handle parameter-efficient fine-tuning of large models; Quadro RTX 4000 lacks sufficient VRAM.

Stable Diffusion
Either

B200 accelerates high-resolution generation with 4500 TFLOPS FP16; Quadro RTX 4000 suffices for basic image synthesis at 7.1 TFLOPS.

Scientific Computing
B200 NVL

B200's 90 TFLOPS FP32 outperforms Quadro RTX 4000's 7.1 TFLOPS for complex simulations requiring high precision and memory.

Frequently Asked Questions

What is the VRAM difference between B200 and Quadro RTX 4000?

B200 provides 192 GB HBM3e VRAM, which is 24 times more than Quadro RTX 4000's 8 GB GDDR6. This enables B200 to load massive AI models without offloading. Quadro RTX 4000 suits smaller datasets.

How do compute performances compare?

B200 delivers 4500 TFLOPS FP16 and 90 TFLOPS FP32, vastly surpassing Quadro RTX 4000's 7.1 TFLOPS in both. B200 accelerates AI workloads significantly. Quadro RTX 4000 handles basic professional tasks.

What are the cloud pricing differences?

B200 NVL starts at $10.50 per hour across one offer, while Quadro RTX 4000 begins at $0.56 per hour across five offers. Pricing reflects performance tiers. B200 targets high-end users.

Which has higher memory bandwidth?

B200 achieves 8000 GB/s, over 19 times Quadro RTX 4000's 416 GB/s. Higher bandwidth on B200 supports larger batches in training. Quadro RTX 4000 faces bottlenecks in data-heavy tasks.

What are the TDP values?

B200 requires 1000W TDP for datacenter power, compared to Quadro RTX 4000's 160W for workstations. B200 demands robust cooling. Quadro RTX 4000 fits standard desktops.

Which architecture is newer?

B200 uses 2024 Blackwell architecture, while Quadro RTX 4000 employs 2018 Turing. Blackwell optimizes for AI with FP8 support at 9000 TFLOPS. Turing focuses on professional graphics.

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.