GPU comparison

GH200 vs RTX 4000 Ada

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 33 days ago

The GH200 wins for the most common use case of LLM training because its 96 GB HBM3 memory and 4000 GB/s bandwidth exceed the RTX 4000 Ada specifications while FP16 dense performance reaches 989 TFLOPS.

GH200 listed from $1.99/GPU/hrRTX 4000 Ada listed from $0.28/GPU/hr

Specifications Compared

SpecGH200RTX 4000 Ada
TDP900W130W
VRAM96 GB20 GB
CUDA Cores16,8966,144
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 Cores528192
FP32 Performance67 TFLOPS26.7 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s360 GB/s
FP8 (with sparsity)3,958 TFLOPS427.6 TFLOPS
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

The GH200 delivers FP16 dense performance of 989 TFLOPS while the RTX 4000 Ada does not publish an FP16 figure. FP32 performance of 67 TFLOPS on the GH200 exceeds the 26.7 TFLOPS on the RTX 4000 Ada by a ratio of 2.5 times. This FP16 to FP32 delta on the GH200 supports accelerated training and inference operations where lower precision formats reduce computation time. Memory bandwidth of 4000 GB/s on the GH200 compared to 360 GB/s on the RTX 4000 Ada enables larger batch sizes during model execution. The GH200 FP8 dense figure of 1979 TFLOPS stands against the RTX 4000 Ada FP8 with sparsity figure of 427.6 TFLOPS. The GH200 INT8 dense rating of 1979 TOPS further differentiates it for integer workloads.

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 4000 Ada

RTX 4000 Ada is not offered on-demand by any provider we track right now. See the RTX 4000 Ada rental page for last-seen listed prices and a price alert.

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When to Choose the GH200

The GH200 suits scenarios that require 96 GB HBM3 memory and 4000 GB/s bandwidth for large model handling. Its FP16 dense performance of 989 TFLOPS and FP32 performance of 67 TFLOPS support extended training sessions. The 900W TDP fits environments with sufficient power infrastructure and NVLink-C2C interconnect.

When to Choose the RTX 4000 Ada

The RTX 4000 Ada fits scenarios that require 20 GB GDDR6 memory and 130W TDP for compact deployments. Its FP32 performance of 26.7 TFLOPS and FP8 with sparsity performance of 427.6 TFLOPS address moderate inference tasks. The PCIe form factor and PCIe 4.0 interconnect suit standard server configurations.

Use Cases

LLM Training
GH200

The GH200 supplies 96 GB HBM3 memory and FP16 dense performance of 989 TFLOPS to handle large models.

LLM Inference
GH200

The GH200 provides FP8 dense performance of 1979 TFLOPS and 4000 GB/s bandwidth for efficient token processing.

Fine-tuning
GH200

The GH200 offers 96 GB HBM3 memory and INT8 dense performance of 1979 TOPS to support parameter updates.

Stable Diffusion
RTX 4000 Ada

The RTX 4000 Ada delivers FP8 with sparsity performance of 427.6 TFLOPS at 130W TDP for image generation tasks.

Scientific Computing
GH200

The GH200 supplies FP32 performance of 67 TFLOPS and 4000 GB/s bandwidth for simulation workloads.

Frequently Asked Questions

What memory configurations distinguish the GH200 from the RTX 4000 Ada?▾

The GH200 features 96 GB HBM3 memory while the RTX 4000 Ada features 20 GB GDDR6 memory. Bandwidth differs at 4000 GB/s versus 360 GB/s.

How does FP32 performance compare between the two GPUs?▾

The GH200 achieves 67 TFLOPS in FP32 while the RTX 4000 Ada achieves 26.7 TFLOPS in FP32.

Which GPU supports higher precision tensor operations?▾

The GH200 supports FP16 dense at 989 TFLOPS and FP8 dense at 1979 TFLOPS. The RTX 4000 Ada publishes FP8 with sparsity at 427.6 TFLOPS.

What power and form factor differences exist?▾

The GH200 operates at 900W TDP in SXM form factor with NVLink-C2C. The RTX 4000 Ada operates at 130W TDP in PCIe form factor with PCIe 4.0.

Does the RTX 4000 Ada publish FP16 performance figures?▾

The RTX 4000 Ada does not publish FP16 performance figures. The GH200 publishes FP16 dense at 989 TFLOPS.

Which is cheaper to rent, the GH200 or the RTX 4000 Ada?▾

Cloud rental prices for both the GH200 and RTX 4000 Ada 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 4000 Ada?▾

The GH200 has 96 GB of HBM3 memory. The RTX 4000 Ada has 20 GB of GDDR6 memory.

Can I find GH200 and RTX 4000 Ada 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 4000 Ada?▾

The GH200 uses the Hopper architecture (2023) while the RTX 4000 Ada uses Ada Lovelace (2023). The GH200 has 96 GB of HBM3 at 4,000 GB/s; the RTX 4000 Ada has 20 GB of GDDR6 at 360 GB/s, so the GH200 has 11.1x the memory bandwidth of the RTX 4000 Ada.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the RTX 4000 Ada. 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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