B200 NVL vs RTX A4500

BlackwellvsAmpereUpdated 35 days ago

The NVIDIA B200 NVL triumphs for prevalent AI and ML use cases: 4500 TFLOPS FP16 and 192 GB VRAM enable training and inference at scales impossible on the RTX A4500's 19.2 TFLOPS and 16 GB, justifying the price premium for production workloads.

B200 NVL from $3.95/hrRTX A4500 from $0.08/hr

Specifications Compared

SpecB200RTX-A4000
TDP1000W140W
VRAM192 GB16 GB
CUDA Cores18,4326,144
Memory TypeHBM3eGDDR6
ArchitectureBlackwellAmpere
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBand
Tensor Cores576192
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS19.2 TFLOPS
FP32 Performance90 TFLOPS19.2 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS
Memory Bandwidth8,000 GB/s448 GB/s

Performance Analysis

Compute specifications reveal a chasm suited to different scales: the B200 NVL delivers 4500 TFLOPS FP16 for rapid neural network training, while the RTX A4500 manages 19.2 TFLOPS, limiting it to smaller datasets. The B200 NVL's FP32 at 90 TFLOPS exceeds the A4500's 19.2 TFLOPS, aiding simulation and rendering, but its FP16-to-FP32 ratio highlights AI optimization where low-precision training dominates.

Memory capacity and speed dictate practical limits. The B200 NVL's 192 GB HBM3e supports vast batch sizes in LLM fine-tuning, preventing out-of-memory errors common with the A4500's 16 GB GDDR6. Bandwidth of 8000 GB/s on the B200 NVL enables high-throughput inference, sustaining large models without stalls, unlike the A4500's 448 GB/s which constrains data-heavy workloads.

Power draw amplifies trade-offs: 1000W TDP on B200 NVL demands robust cooling for sustained peaks, contrasting the A4500's efficient 140W for edge deployments.

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

RTX A4500

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
TensorDock
TensorDock
NVIDIA RTX A4000
16GB VRAM
$0.08/GPU/hr
Available
Vast.ai
Vast.ai
8×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$1.17/hr total (8×)
Available
Hyperstack
Hyperstack
4×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.60/hr total (4×)
Available
Hyperstack
Hyperstack
2×NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
$0.30/hr total (2×)
Available
Hyperstack
Hyperstack
NVIDIA RTX A4000
16GB VRAM
$0.15/GPU/hr
Available

Compare real-time pricing across 25+ providers

When to Choose the B200 NVL

Select the NVIDIA B200 NVL for massive AI training and inference: 192 GB HBM3e VRAM handles models exceeding 100 billion parameters, and 9000 TFLOPS FP8 accelerates efficient serving. Its NVLink and PCIe 6.0 interconnects scale multi-GPU clusters seamlessly.

High-bandwidth 8000 GB/s memory suits scientific simulations with enormous datasets, where the RTX A4500 falls short.

When to Choose the RTX A4500

Opt for the NVIDIA RTX A4500 in budget-conscious scenarios: at $0.10 per hour, it delivers 19.2 TFLOPS FP32 for visualization and moderate ML at 140W TDP. PCIe form factor simplifies single-workstation deployments.

It excels in CAD or Stable Diffusion with smaller models fitting 16 GB GDDR6, avoiding the B200 NVL's $10.50 per hour cost.

Use Cases

LLM Training
B200 NVL

B200 NVL's 192 GB VRAM and 4500 TFLOPS FP16 support massive LLMs with large batches. A4500's 16 GB limits model size severely.

LLM Inference
B200 NVL

9000 TFLOPS FP8 on B200 NVL delivers high-throughput serving for production. A4500's 19.2 TFLOPS FP16 cannot match demands.

Fine-tuning
B200 NVL

8000 GB/s bandwidth and 192 GB VRAM on B200 NVL handle large fine-tuning datasets efficiently. A4500 suits only small models.

Stable Diffusion
RTX A4500

RTX A4500's 19.2 TFLOPS FP32 and 16 GB VRAM suffice for image generation at low cost. B200 NVL overkill for single inferences.

Scientific Computing
B200 NVL

B200 NVL's 90 TFLOPS FP32 and high interconnects scale HPC simulations. A4500 adequate only for modest computations.

Frequently Asked Questions

What is the VRAM difference between B200 NVL and RTX A4500?

The B200 NVL has 192 GB HBM3e VRAM, enabling large models. The RTX A4500 provides 16 GB GDDR6, suitable for smaller workloads. This 12x gap affects batch sizes directly.

How do cloud prices compare for B200 NVL vs RTX A4500?

B200 NVL pricing starts at $10.50 per hour across one offer. RTX A4500 ranges from $0.10 per hour, averaging $0.19 per hour over four offers. Cost reflects performance disparity.

Which has higher FP16 performance, B200 NVL or RTX A4500?

B200 NVL achieves 4500 TFLOPS FP16 for AI acceleration. RTX A4500 reaches 19.2 TFLOPS, over 234 times lower. This drives training speed differences.

What are the memory bandwidth specs?

B200 NVL offers 8000 GB/s with HBM3e. RTX A4500 provides 448 GB/s GDDR6. Higher bandwidth reduces data bottlenecks in inference.

What is the TDP of each GPU?

B200 NVL consumes 1000W for peak performance. RTX A4500 uses 140W, ideal for power-limited setups. Efficiency varies by workload.

Which GPU supports NVLink?

B200 NVL includes NVLink, PCIe 6.0, and InfiniBand for multi-GPU scaling. RTX A4500 lacks advanced interconnects beyond PCIe. This enables B200 NVL clusters.

Which is cheaper to rent, the B200 or the RTX A4000?

Cloud rental prices for both the B200 and RTX A4000 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 RTX A4000?

The B200 has 192 GB of HBM3e memory. The RTX A4000 has 16 GB of GDDR6 memory.

Can I find B200 and RTX A4000 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 RTX A4000?

The B200 uses the Blackwell architecture (2024) while the RTX A4000 uses Ampere (2021). The B200 delivers 234.4x the FP16 throughput and 17.9x the memory bandwidth of the RTX A4000.