B200 NVL vs RTX A5000

BlackwellvsAmpereUpdated 35 days ago

The B200 triumphs for dominant AI use cases like LLM training, offering 192 GB VRAM and 4500 TFLOPS FP16 against A5000's 24 GB and 27.8 TFLOPS. Higher $10.50 per hour pricing yields unmatched scale, justifying selection for production over A5000's prototyping niche.

B200 NVL from $3.95/hrRTX A5000 from $0.23/hr

Specifications Compared

SpecB200RTX-A5000
TDP1000W230W
VRAM192 GB24 GB
CUDA Cores18,4328,192
Memory TypeHBM3eGDDR6
ArchitectureBlackwellAmpere
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 6.0, InfiniBandNVLink
Tensor Cores576256
FP8 Performance9,000 TFLOPS
FP16 Performance4,500 TFLOPS27.8 TFLOPS
FP32 Performance90 TFLOPS27.8 TFLOPS
FP64 Performance45 TFLOPS
INT8 Performance9,000 TOPS
Memory Bandwidth8,000 GB/s768 GB/s

Performance Analysis

B200's FP16 performance of 4500 TFLOPS accelerates AI training by over 162 times relative to A5000's 27.8 TFLOPS, enabling faster convergence on large datasets. FP32 at 90 TFLOPS on B200 supports compute-intensive simulations, doubling A5000's 27.8 TFLOPS for precision tasks. For inference, B200's 9000 TFLOPS FP8 handles high-throughput serving of quantized models.

Memory bandwidth profoundly impacts workloads: B200's 8000 GB/s sustains large batch sizes in LLM training, minimizing data loading stalls, while A5000's 768 GB/s limits batches in memory-bound scenarios. B200's 192 GB VRAM fits models exceeding 100B parameters intact; A5000's 24 GB requires sharding or smaller models.

TDP differences dictate environments: B200's 1000W suits cooled datacenters, A5000's 230W enables desktop deployment without infrastructure upgrades.

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 A5000

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vast.ai
Vast.ai
4×NVIDIA RTX A5000
24GB VRAM
$0.23/GPU/hr
$0.92/hr total (4×)
Available
RunPod
RunPod
NVIDIA RTX A5000
24GB VRAM
$0.27/GPU/hr
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.41/GPU/hr
$3.28/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.46/GPU/hr
$3.68/hr total (8×)
Cirrascale
Cirrascale
8×NVIDIA RTX A5000
24GB VRAM
$0.49/GPU/hr
$3.92/hr total (8×)

Compare real-time pricing across 25+ providers

When to Choose the B200 NVL

Select the B200 for LLM training and inference demanding 192 GB VRAM and 4500 TFLOPS FP16, such as models over 100B parameters in distributed NVLink setups. Its 8000 GB/s bandwidth maximizes throughput in production clusters at $10.50 per hour.

B200 dominates hyperscale AI serving with 9000 TFLOPS FP8, where latency and scale outweigh cost.

When to Choose the RTX A5000

The RTX A5000 suits prototyping, fine-tuning, and graphics with 24 GB VRAM and 27.8 TFLOPS FP32 at $0.40 per hour average. Its 230W TDP and PCIe form factor integrate into workstations seamlessly.

Choose A5000 for budget-conscious tasks like Stable Diffusion or scientific viz, avoiding B200's datacenter requirements.

Use Cases

LLM Training
B200 NVL

B200's 192 GB HBM3e VRAM and 4500 TFLOPS FP16 handle massive models without sharding. A5000's 24 GB GDDR6 limits batch sizes and scale.

LLM Inference
B200 NVL

B200's 9000 TFLOPS FP8 and 8000 GB/s bandwidth enable low-latency serving of large models. A5000 lacks FP8 capability and sufficient VRAM.

Fine-tuning
Either

A5000's 27.8 TFLOPS FP16 suffices for small models at $0.40 per hour. B200 accelerates large fine-tuning with 4500 TFLOPS.

Stable Diffusion
RTX A5000

A5000's 27.8 TFLOPS FP32 and 24 GB VRAM support image generation prototyping efficiently. B200 overkill at $10.50 per hour.

Scientific Computing
RTX A5000

A5000's 27.8 TFLOPS FP32 and 230W TDP fit simulations on workstations. B200's 1000W TDP requires datacenter infrastructure.

Frequently Asked Questions

What is the VRAM capacity of NVIDIA B200 versus RTX A5000?

B200 provides 192 GB HBM3e VRAM. RTX A5000 offers 24 GB GDDR6. This eightfold difference allows B200 to load massive AI models without splitting.

How do memory bandwidths compare between B200 and RTX A5000?

B200 achieves 8000 GB/s bandwidth. RTX A5000 delivers 768 GB/s. B200's superior rate supports larger batches in training.

What are the FP16 performance figures for these GPUs?

B200 reaches 4500 TFLOPS in FP16. RTX A5000 provides 27.8 TFLOPS. B200 processes tensor ops over 162 times faster.

What is the cloud pricing for B200 NVL and RTX A5000?

B200 NVL starts at $10.50 per hour average across one offer. RTX A5000 ranges from $0.02 per hour, averaging $0.40 across 38 offers.

Which GPU has higher TDP, B200 or RTX A5000?

B200 consumes 1000W TDP. RTX A5000 uses 230W. B200 demands datacenter power; A5000 fits workstations.

What architectures power B200 and RTX A5000?

B200 uses Blackwell from 2024. RTX A5000 employs Ampere from 2021. Blackwell advances AI efficiency significantly.

Which is cheaper to rent, the B200 or the RTX A5000?

Cloud rental prices for both the B200 and RTX A5000 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 A5000?

The B200 has 192 GB of HBM3e memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find B200 and RTX A5000 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 A5000?

The B200 uses the Blackwell architecture (2024) while the RTX A5000 uses Ampere (2021). The B200 delivers 161.9x the FP16 throughput and 10.4x the memory bandwidth of the RTX A5000.

B200 NVL vs RTX A5000: 161.9x FP16 Gap, 192GB vs 24GB | GPUPerHour