H200 NVL vs RTX A5000

HoppervsAmpereUpdated 35 days ago

The NVIDIA H200 emerges as the superior choice for prevalent AI workloads like LLM training and inference. Its 141 GB VRAM and 1979 TFLOPS FP16 outperform the A5000's 24 GB and 27.8 TFLOPS by orders of magnitude, justifying the price premium for capacity-intensive tasks.

H200 NVL from $1.99/hrRTX A5000 from $0.23/hr

Specifications Compared

SpecH200RTX-A5000
TDP700W230W
VRAM141 GB24 GB
CUDA Cores16,8968,192
Memory TypeHBM3eGDDR6
ArchitectureHopperAmpere
Form FactorsSXM, NVLPCIe
InterconnectNVLink, PCIe 5.0, InfiniBandNVLink
Tensor Cores528256
FP8 Performance3,958 TFLOPS
FP16 Performance1,979 TFLOPS27.8 TFLOPS
FP32 Performance67 TFLOPS27.8 TFLOPS
FP64 Performance34 TFLOPS
INT8 Performance3,958 TOPS
Memory Bandwidth4,800 GB/s768 GB/s

Performance Analysis

The H200's FP16 performance reaches 1979 TFLOPS, enabling training of large language models at speeds over 70 times faster than the A5000's 27.8 TFLOPS. This disparity accelerates deep learning iterations, where FP16 dominates matrix multiplications. For inference, the H200's FP8 capability at 3958 TFLOPS supports quantized models with minimal accuracy loss, far surpassing the A5000. The H200's FP32 at 67 TFLOPS also exceeds the A5000's 27.8 TFLOPS, benefiting simulation tasks. Memory bandwidth defines practical limits: the H200's 4800 GB/s sustains large batch sizes in training without stalling, unlike the A5000's 768 GB/s, which constrains datasets over 24 GB VRAM. Consequently, the H200 processes models like 70B-parameter LLMs seamlessly, while the A5000 suits sub-20B models. Power draw reflects scale: 700W TDP for the H200 versus 230W for the A5000 impacts deployment density.

Live Cloud Pricing

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

H200 NVL

ProviderGPU ModelVRAMHost SpecsRegionPriceStatusAction
Vultr
Vultr
NVIDIA GH200 Grace Hopper
96GB VRAM
$1.99/GPU/hr
Available
Lambda Labs
Lambda Labs
NVIDIA GH200 Grace Hopper
96GB VRAM
$2.29/GPU/hr
Available
Nebius
Nebius
NVIDIA H200 SXM
141GB VRAM
$2.45/GPU/hr
CoreWeave
CoreWeave
8×NVIDIA H200 SXM
141GB VRAM
$2.58/GPU/hr
$20.64/hr total (8×)
Ori
Ori
4×NVIDIA H200 SXM
141GB VRAM
$3.50/GPU/hr
$14.00/hr total (4×)
Available

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
Vast.ai
Vast.ai
NVIDIA RTX A5000
24GB VRAM
$0.24/GPU/hr
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×)

Compare real-time pricing across 25+ providers

When to Choose the H200 NVL

Opt for the NVIDIA H200 in large-scale AI training requiring over 24 GB VRAM, such as full fine-tuning of 100B+ parameter models. Its 141 GB HBM3e and 4800 GB/s bandwidth handle massive batches without out-of-memory errors. Datacenter users benefit from NVLink and InfiniBand for multi-GPU scaling at $0.50/hr starting price.

When to Choose the RTX A5000

Select the NVIDIA RTX A5000 for cost-sensitive workstation tasks like Stable Diffusion or small-model inference under 24 GB VRAM. At $0.03/hr average $0.44/hr, it delivers 27.8 TFLOPS FP16 efficiently for single-user visualization. PCIe form factor suits non-datacenter setups with 230W TDP.

Use Cases

LLM Training
H200 NVL

The H200's 141 GB HBM3e VRAM and 1979 TFLOPS FP16 support massive datasets and models exceeding 24 GB, which the A5000 cannot handle.

LLM Inference
H200 NVL

H200's 3958 TFLOPS FP8 and 4800 GB/s bandwidth enable high-throughput serving of large quantized models, outperforming A5000's 27.8 TFLOPS.

Fine-tuning
H200 NVL

For models over 20 GB, H200's capacity prevents swapping; its 67 TFLOPS FP32 aids precise updates beyond A5000 limits.

Stable Diffusion
RTX A5000

A5000's 24 GB GDDR6 suffices for typical generations at 27.8 TFLOPS FP16, with lower $0.03/hr cost versus H200's overkill.

Scientific Computing
Either

A5000 handles FP32-bound simulations at 27.8 TFLOPS affordably; H200 excels in memory-heavy parallel tasks with 4800 GB/s bandwidth.

Frequently Asked Questions

What is the VRAM difference between H200 and RTX A5000?

The H200 offers 141 GB HBM3e VRAM, compared to the RTX A5000's 24 GB GDDR6. This enables the H200 to load models up to 100B parameters without issues. The A5000 suits smaller workloads under 20 GB.

How do cloud prices compare for H200 NVL and RTX A5000?

H200 NVL starts at $0.50/hr with an average of $2.24/hr across 3 offers. RTX A5000 begins at $0.03/hr averaging $0.44/hr over 32 offers. Price reflects the H200's datacenter scale.

Which has higher FP16 performance?

H200 delivers 1979 TFLOPS FP16, over 70 times the RTX A5000's 27.8 TFLOPS. This boosts AI training speed significantly. FP8 on H200 reaches 3958 TFLOPS for inference.

What are the TDPs of these GPUs?

H200 requires 700W TDP for its compute density. RTX A5000 uses 230W, fitting standard workstations. Higher TDP on H200 demands robust cooling.

Can RTX A5000 handle LLM inference?

RTX A5000 manages inference for models under 24 GB at 27.8 TFLOPS FP16. Larger models need H200's 141 GB VRAM. Batch sizes stay small on A5000 due to 768 GB/s bandwidth.

What interconnects do they support?

H200 includes NVLink, PCIe 5.0, and InfiniBand for multi-GPU clusters. RTX A5000 supports NVLink and PCIe. This makes H200 ideal for scaled deployments.

Which is cheaper to rent, the H200 or the RTX A5000?

Cloud rental prices for both the H200 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 H200 have compared to the RTX A5000?

The H200 has 141 GB of HBM3e memory. The RTX A5000 has 24 GB of GDDR6 memory.

Can I find H200 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 H200 and the RTX A5000?

The H200 uses the Hopper architecture (2024) while the RTX A5000 uses Ampere (2021). The H200 delivers 71.2x the FP16 throughput and 6.3x the memory bandwidth of the RTX A5000.

H200 NVL vs RTX A5000: 71.2x FP16 Gap, 141GB vs 24GB | GPUPerHour