GPU comparison

GH200 vs RTX 4060

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 28 days ago

The GH200 wins for the most common large scale training and inference use cases because its 96 GB HBM3 VRAM and 4000 GB/s bandwidth exceed the RTX 4060 limits while its 989 TFLOPS FP16 dense rating delivers higher throughput on those workloads.

GH200 listed from $1.99/GPU/hrRTX 4060 listed from $0.15/GPU/hr

Right now, from live stock

Specifications Compared

SpecGH200RTX 4060
TDP900W115W
VRAM96 GB8-16 GB
CUDA Cores16,8963,072
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperAda Lovelace
FP16 (dense)989 TFLOPSNot published
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPSNot published
InterconnectNVLink-C2C, PCIe 5.0PCIe 4.0
Tensor Cores52896
FP32 Performance67 TFLOPS15.1 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s272 GB/s
FP8 (with sparsity)3,958 TFLOPS242 TFLOPS
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The GH200 FP16 dense figure reaches 989 TFLOPS against its FP32 figure of 67 TFLOPS while the RTX 4060 FP32 figure reaches 15.1 TFLOPS. This FP16 to FP32 ratio on the GH200 indicates acceleration for mixed precision training and inference workloads that can utilize the higher dense rate. The RTX 4060 lists an FP8 figure with sparsity of 242 TFLOPS. Memory bandwidth of 4000 GB/s on the GH200 versus 272 GB/s on the RTX 4060 directly influences maximum batch sizes during training or inference because higher bandwidth sustains larger data transfers without stalls.

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

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
VultrFrankfurt, DE1$1.99—Deploy

1 provider in stock, 1 offer. All GH200 offers, price history and alerts

RTX 4060

RTX 4060 is not offered on-demand by any provider we track right now. See the RTX 4060 rental page for last-seen listed prices and a price alert.

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When to Choose the GH200

The GH200 suits large model training and scientific computing that require 96 GB HBM3 VRAM and 4000 GB/s bandwidth. Its FP16 dense rating of 989 TFLOPS and FP8 dense rating of 1979 TFLOPS support high throughput on memory intensive tasks that exceed the 8-16 GB capacity of the RTX 4060.

When to Choose the RTX 4060

The RTX 4060 suits inference and fine tuning of smaller models that fit within 8-16 GB GDDR6 VRAM and operate under a 115W TDP limit. Its PCIe form factor and 15.1 TFLOPS FP32 rating fit power constrained environments where the 900W TDP of the GH200 is unnecessary.

Use Cases

LLM Training
GH200

The GH200 supplies 96 GB HBM3 VRAM and 989 TFLOPS FP16 dense that accommodate large models beyond the 8-16 GB limit of the RTX 4060.

LLM Inference
GH200

The GH200 4000 GB/s bandwidth and 1979 TFLOPS FP8 dense rating sustain larger batch sizes than the RTX 4060 272 GB/s bandwidth.

Fine-tuning
Either

Smaller fine tuning jobs fit on the RTX 4060 8-16 GB VRAM while larger jobs require the GH200 96 GB HBM3 capacity.

Stable Diffusion
RTX 4060

The RTX 4060 115W TDP and 15.1 TFLOPS FP32 rating handle typical image generation workloads at lower power than the GH200 900W TDP.

Scientific Computing
GH200

The GH200 FP32 rating of 67 TFLOPS combined with 4000 GB/s bandwidth supports high precision simulations that exceed RTX 4060 resources.

Frequently Asked Questions

What is the memory difference between GH200 and RTX 4060?▾

The GH200 contains 96 GB HBM3 VRAM while the RTX 4060 contains 8-16 GB GDDR6 VRAM. The GH200 also provides 4000 GB/s memory bandwidth compared to 272 GB/s on the RTX 4060.

How does FP32 performance compare on these GPUs?▾

The GH200 lists 67 TFLOPS FP32 and the RTX 4060 lists 15.1 TFLOPS FP32. This difference affects precision sensitive scientific workloads.

Which GPU handles larger batch sizes during inference?▾

The GH200 4000 GB/s bandwidth supports larger batches than the RTX 4060 272 GB/s bandwidth. Its 96 GB HBM3 VRAM further enables bigger models without swapping.

What power difference exists between the two GPUs?▾

The GH200 TDP reaches 900W while the RTX 4060 TDP reaches 115W. System designs must account for this gap when selecting between SXM and PCIe form factors.

Can the RTX 4060 run FP16 workloads like the GH200?▾

The RTX 4060 FP16 rating is not published by the vendor. The GH200 provides a published FP16 dense rating of 989 TFLOPS for direct comparison on supported tasks.

Which is cheaper to rent, the GH200 or the RTX 4060?▾

Cloud rental prices for both the GH200 and RTX 4060 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 4060?▾

The GH200 has 96 GB of HBM3 memory. The RTX 4060 has 8 to 16 GB of GDDR6 memory.

Can I find GH200 and RTX 4060 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 4060?▾

The GH200 uses the Hopper architecture (2023) while the RTX 4060 uses Ada Lovelace (2023). The GH200 has 96 GB of HBM3 at 4,000 GB/s; the RTX 4060 has 8-16 GB of GDDR6 at 272 GB/s, so the GH200 has 14.7x the memory bandwidth of the RTX 4060.

Rent these GPUs

Each GPU page lists every current on-demand offer by provider, per GPU-hour, updated every minute.

Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the RTX 4060. 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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