GPU comparison

GH200 vs RTX PRO 6000

Specifications and current cloud pricing, side by side.

HoppervsBlackwellUpdated 33 days ago

The GH200 wins for the most common LLM training use case because its 989 TFLOPS dense FP16 and 4000 GB/s memory bandwidth exceed the corresponding RTX PRO 6000 figures by clear margins while both GPUs share identical 96 GB capacity.

GH200 listed from $1.99/GPU/hrRTX PRO 6000 listed from $0.69/GPU/hr

Right now, from live stock

  • Cheapest right now: RTX PRO 6000 at $0.69/hr on RunPod

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  • Most providers in stock: RTX PRO 6000 (6)

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Specifications Compared

SpecGH200RTX PRO 6000
TDP900W600W
VRAM96 GB96 GB
CUDA Cores16,89624,064
FP4 (dense)Not published2,015.2 TFLOPS
FP8 (dense)1,979 TFLOPS1,007.6 TFLOPS
Memory TypeHBM3GDDR7
ArchitectureHopperBlackwell
FP16 (dense)989 TFLOPS503.8 TFLOPS
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPS1,007.6 TOPS
InterconnectNVLink-C2C, PCIe 5.0PCIe 5.0
Tensor Cores528752
FP32 Performance67 TFLOPS126 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s1,792 GB/s
FP4 (with sparsity)Not published4,030.4 TFLOPS
FP8 (with sparsity)3,958 TFLOPS2,015.2 TFLOPS
FP16 (with sparsity)1,979 TFLOPS1,007.6 TFLOPS
INT8 (with sparsity)3,958 TOPS2,015.2 TOPS

Performance Analysis

The GH200 supplies 989 TFLOPS dense FP16 compared with 503.8 TFLOPS dense FP16 on the RTX PRO 6000, producing nearly double the throughput for training steps that rely on dense tensor operations. Inference workloads that accept sparsity see the GH200 reach 1979 TFLOPS with sparsity against 1007.6 TFLOPS with sparsity on the RTX PRO 6000. Memory bandwidth of 4000 GB/s on the GH200 versus 1792 GB/s on the RTX PRO 6000 permits larger batch sizes before the memory subsystem saturates, while the RTX PRO 6000 FP32 figure of 126 TFLOPS exceeds the GH200 figure of 67 TFLOPS for precision-sensitive scientific kernels.

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 PRO 6000

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
RunPodglobal1$0.69—Deploy
Vast.aiCzechia, CZ1$1.36—Deploy
Massed Computeus-central-92$2.19$4.38Deploy
VERDAFIN-HEL4$2.37$9.48Deploy
QuantaCloudus-midwest-44$2.38$9.53Deploy

6 providers in stock, 18 offers (cheapest per provider shown). All RTX PRO 6000 offers, price history and alerts

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Hopper stock changes by the hour and prices differ by provider. If you need 16+ GPUs reserved or a cluster in the next 90 days, we quote H-series or B300 inventory at partner rates: one quote, 24h turnaround.

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When to Choose the GH200

The GH200 suits LLM training runs that require 989 TFLOPS dense FP16 and 4000 GB/s memory bandwidth to sustain large batches. Its 900W TDP accommodates sustained high-intensity workloads where the additional power budget translates directly into higher dense FP16 throughput.

When to Choose the RTX PRO 6000

Its lower power draw also fits inference deployments where 503.8 TFLOPS dense FP16 meets throughput targets without exceeding facility power limits.

Use Cases

LLM Training
GH200

The GH200 supplies 989 TFLOPS dense FP16 together with 4000 GB/s bandwidth that supports larger batches than the RTX PRO 6000.

LLM Inference
GH200

The GH200 reaches 1979 TFLOPS with sparsity in FP16, nearly double the 1007.6 TFLOPS with sparsity available on the RTX PRO 6000.

Fine-tuning
Either

Stable Diffusion
RTX PRO 6000

The RTX PRO 6000 delivers 126 TFLOPS FP32 at 600W TDP, matching precision needs at lower power than the GH200.

Scientific Computing
RTX PRO 6000

The RTX PRO 6000 provides 126 TFLOPS FP32, exceeding the GH200 figure of 67 TFLOPS for precision-sensitive calculations.

Frequently Asked Questions

How does memory bandwidth differ between the GH200 and RTX PRO 6000?▾

The GH200 provides 4000 GB/s memory bandwidth while the RTX PRO 6000 provides 1792 GB/s memory bandwidth.

What FP16 dense performance does each GPU deliver?▾

The GH200 delivers 989 TFLOPS dense FP16 and the RTX PRO 6000 delivers 503.8 TFLOPS dense FP16.

Which GPU has the higher FP32 rating?▾

The RTX PRO 6000 reaches 126 TFLOPS FP32 while the GH200 reaches 67 TFLOPS FP32.

What TDP values apply to the GH200 and RTX PRO 6000?▾

The GH200 lists a TDP of 900W and the RTX PRO 6000 lists a TDP of 600W.

How does sparsity affect FP16 ratings on each GPU?▾

The GH200 reaches 1979 TFLOPS with sparsity in FP16 and the RTX PRO 6000 reaches 1007.6 TFLOPS with sparsity in FP16.

Which is cheaper to rent, the GH200 or the RTX PRO 6000?▾

Cloud rental prices for both the GH200 and RTX PRO 6000 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 PRO 6000?▾

The GH200 has 96 GB of HBM3 memory. The RTX PRO 6000 has 96 GB of GDDR7 memory.

Can I find GH200 and RTX PRO 6000 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 PRO 6000?▾

The GH200 uses the Hopper architecture (2023) while the RTX PRO 6000 uses Blackwell (2025). The GH200 delivers 2.0x the dense FP16 throughput (989 vs 503.8 TFLOPS, both without sparsity) and 2.2x the memory bandwidth of the RTX PRO 6000.

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 PRO 6000. 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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