GPU comparison

GH200 vs RTX A4000

Specifications and current cloud pricing, side by side.

HoppervsAmpereUpdated 34 days ago

The GH200 wins for the most common use case of LLM Training because its 989 TFLOPS FP16 dense, 96 GB HBM3 VRAM, and 4000 GB/s memory bandwidth exceed the RTX A4000 figures of 153.4 TFLOPS FP16 with sparsity and 16-20 GB GDDR6 VRAM.

GH200 listed from $1.99/GPU/hrRTX A4000 listed from $0.15/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX A4000 at $0.15/hr on Hyperstack

    Deploy
  • Most providers in stock: RTX A4000 (2)

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Specifications Compared

SpecGH200RTX A4000
TDP900W140W
VRAM96 GB16-20 GB
CUDA Cores16,8966,144
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperAmpere
FP16 (dense)989 TFLOPSNot published
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPSNot published
InterconnectNVLink-C2C, PCIe 5.0PCIe 4.0
Tensor Cores528192
FP32 Performance67 TFLOPS19.2 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s448 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPS153.4 TFLOPS
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The FP16 to FP32 ratio reaches 989 TFLOPS dense divided by 67 TFLOPS on the GH200 while the RTX A4000 shows 153.4 TFLOPS with sparsity divided by 19.2 TFLOPS. This ratio indicates greater acceleration for mixed precision operations on the GH200 during training and inference tasks that use FP16 dense formats. The GH200 memory bandwidth of 4000 GB/s exceeds the RTX A4000 bandwidth of 448 GB/s by a factor derived solely from these values and supports larger batch sizes in memory intensive workloads. Sparse FP16 performance on the GH200 reaches 1979 TFLOPS with sparsity against 153.4 TFLOPS with sparsity on the RTX A4000.

Current On-Demand Offers

Cheapest secure on-demand offer per provider that is reported in stock right now, per GPU per hour; multi-GPU instances show the whole-instance price alongside. Deploy opens the DeployGPU console for providers on the platform, otherwise the provider's own site. Stock is rechecked every minute.

GH200

GH200 is not offered on-demand by any provider we track right now. See the GH200 rental page for last-seen listed prices and a price alert.

RTX A4000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
HyperstackNORWAY-11$0.15—Deploy
Paperspaceny22$0.76$1.52Deploy

2 providers in stock, 7 offers (cheapest per provider shown). All RTX A4000 offers, price history and alerts

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When to Choose the GH200

The GH200 suits workloads that require 96 GB HBM3 VRAM and 989 TFLOPS FP16 dense for large scale model handling. Its 4000 GB/s memory bandwidth and 1979 TFLOPS FP16 with sparsity enable higher throughput in dense and sparse tensor operations compared to the RTX A4000 specifications.

When to Choose the RTX A4000

The RTX A4000 suits workloads constrained by a 140W TDP and PCIe form factor that align with 16-20 GB GDDR6 VRAM and 19.2 TFLOPS FP32. Its specifications fit smaller scale deployments where the 153.4 TFLOPS FP16 with sparsity meets requirements without the 900W TDP of the GH200.

Use Cases

LLM Training
GH200

The GH200 supplies 989 TFLOPS FP16 dense and 96 GB HBM3 VRAM that exceed RTX A4000 values for large model training.

LLM Inference
GH200

The GH200 supplies 1979 TFLOPS FP16 with sparsity and 4000 GB/s bandwidth that support higher inference throughput than the RTX A4000.

Fine-tuning
GH200

The GH200 67 TFLOPS FP32 and 989 TFLOPS FP16 dense enable efficient fine-tuning at scales beyond the RTX A4000 19.2 TFLOPS FP32.

Stable Diffusion
RTX A4000

The RTX A4000 140W TDP and 16-20 GB GDDR6 VRAM align with moderate Stable Diffusion workloads without the GH200 900W TDP.

Scientific Computing
GH200

The GH200 67 TFLOPS FP32 and 4000 GB/s bandwidth handle scientific computing demands beyond the RTX A4000 19.2 TFLOPS FP32.

Frequently Asked Questions

How does GH200 FP16 performance compare to RTX A4000?▾

The GH200 reaches 989 TFLOPS FP16 dense and 1979 TFLOPS FP16 with sparsity. The RTX A4000 reaches 153.4 TFLOPS FP16 with sparsity. These figures come directly from the published specifications.

What memory configurations distinguish the GH200 from the RTX A4000?▾

The GH200 uses 96 GB HBM3 with 4000 GB/s bandwidth. The RTX A4000 uses 16-20 GB GDDR6 with 448 GB/s bandwidth. These values determine capacity and data movement differences.

Which GPU offers higher FP32 throughput?▾

The GH200 delivers 67 TFLOPS FP32. The RTX A4000 delivers 19.2 TFLOPS FP32. The ratio follows directly from these two numbers.

How do the power requirements differ between GH200 and RTX A4000?▾

The GH200 lists a 900W TDP. The RTX A4000 lists a 140W TDP. Form factors also differ with SXM on the GH200 and PCIe on the RTX A4000.

Can the RTX A4000 run FP8 workloads like the GH200?▾

The GH200 publishes FP8 dense at 1979 TFLOPS and FP8 with sparsity at 3958 TFLOPS. The RTX A4000 does not publish FP8 figures so direct comparison remains unavailable.

Which is cheaper to rent, the GH200 or the RTX A4000?▾

Cloud rental prices for both the GH200 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 GH200 have compared to the RTX A4000?▾

The GH200 has 96 GB of HBM3 memory. The RTX A4000 has 16 to 20 GB of GDDR6 memory.

Can I find GH200 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 GH200 and the RTX A4000?▾

The GH200 uses the Hopper architecture (2023) while the RTX A4000 uses Ampere (2021). The GH200 has 96 GB of HBM3 at 4,000 GB/s; the RTX A4000 has 16-20 GB of GDDR6 at 448 GB/s, so the GH200 has 8.9x the memory bandwidth of the RTX A4000.

Rent these GPUs

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the RTX A4000. Dense and sparse throughput are listed separately.
  • Prices and availability are live: every offer shown is an in-stock, on-demand listing from a provider we track, rechecked every minute.
  • The written comparison (overview, performance notes, when to choose each card, verdict, use cases and FAQ) was drafted with an AI model from the specification table above and passed an automated check that rejects any figure not in that table. It was last generated on . It contains no prices; those are always read live.
  • Read how we collect the data, or report an error on this page.

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