GPU comparison

GH200 vs RTX 4070

Specifications and current cloud pricing, side by side.

HoppervsAda LovelaceUpdated 30 days ago

The GH200 wins for the most common use case of LLM inference because its 989 TFLOPS dense FP16 rating and 96 GB memory exceed the RTX 4070 58.3 TFLOPS dense FP16 rating and 12 to 16 GB memory by wide margins while supporting larger concurrent requests.

GH200 listed from $1.99/GPU/hrRTX 4070 listed from $0.50/GPU/hr

Right now, from live stock

Specifications Compared

SpecGH200RTX 4070
TDP900W200W
VRAM96 GB12-16 GB
CUDA Cores16,8965,888
FP8 (dense)1,979 TFLOPS116.6 TFLOPS
Memory TypeHBM3GDDR6X
ArchitectureHopperAda Lovelace
FP16 (dense)989 TFLOPS58.3 TFLOPS
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPS233.2 TOPS
InterconnectNVLink-C2C, PCIe 5.0PCIe 4.0
Tensor Cores528184
FP32 Performance67 TFLOPS29.1 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s504 GB/s
FP8 (with sparsity)3,958 TFLOPS233.2 TFLOPS
FP16 (with sparsity)1,979 TFLOPS116.6 TFLOPS
INT8 (with sparsity)3,958 TOPS466.4 TOPS

Performance Analysis

The ratio of dense FP16 to FP32 reaches 989 TFLOPS over 67 TFLOPS on the GH200 while the same ratio on the RTX 4070 reaches 58.3 TFLOPS over 29.1 TFLOPS. This difference indicates that the GH200 sustains higher throughput for mixed precision training and inference steps that rely on FP16 dense operations. Memory bandwidth of 4000 GB/s on the GH200 compared with 504 GB/s on the RTX 4070 permits larger batch sizes during model execution before memory capacity of 96 GB versus 12 to 16 GB becomes the limit. Dense FP16 figures must be compared only against other dense FP16 figures and sparse FP16 figures only against other sparse FP16 figures to maintain consistent evaluation. The GH200 sparse FP16 rating of 1979 TFLOPS exceeds the RTX 4070 sparse FP16 rating of 116.6 TFLOPS by a substantial margin.

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
VultrAtlanta, US1$1.99—Deploy

1 provider in stock, 2 offers (cheapest per provider shown). All GH200 offers, price history and alerts

RTX 4070

RTX 4070 is not offered on-demand by any provider we track right now. See the RTX 4070 rental page for last-seen listed prices and a price alert.

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When to Choose the GH200

The GH200 suits deployments that require 96 GB HBM3 capacity together with 4000 GB/s bandwidth for large scale model execution. Its 989 TFLOPS dense FP16 rating and 900W TDP support sustained operation in server environments where PCIe form factor and 200W limits prove insufficient.

When to Choose the RTX 4070

The RTX 4070 fits installations constrained to 200W TDP and PCIe slots where 58.3 TFLOPS dense FP16 meets the required throughput. Its 12 to 16 GB GDDR6X memory and 504 GB/s bandwidth handle smaller workloads without the infrastructure demands of SXM modules.

Use Cases

LLM Training
GH200

The GH200 supplies 989 TFLOPS dense FP16 and 96 GB HBM3 that accommodate full model training runs beyond the capacity of 12 to 16 GB GDDR6X.

LLM Inference
GH200

The GH200 delivers 989 TFLOPS dense FP16 together with 4000 GB/s bandwidth that sustain higher token throughput than the RTX 4070 58.3 TFLOPS dense FP16.

Fine-tuning
GH200

The GH200 96 GB memory and 1979 TFLOPS FP8 dense rating allow fine-tuning of models that exceed the 12 to 16 GB limit of the RTX 4070.

Stable Diffusion
RTX 4070

The RTX 4070 200W TDP and PCIe interface provide adequate 58.3 TFLOPS dense FP16 for image generation workloads at lower power draw.

Scientific Computing
GH200

The GH200 67 TFLOPS FP32 rating and 4000 GB/s bandwidth accelerate compute intensive simulations that require the 96 GB HBM3 capacity.

Frequently Asked Questions

What is the FP16 dense performance of each GPU?▾

The GH200 reaches 989 TFLOPS in dense FP16 while the RTX 4070 reaches 58.3 TFLOPS in dense FP16. Direct comparison uses only dense figures against other dense figures.

Which GPU has higher memory bandwidth?▾

The GH200 provides 4000 GB/s memory bandwidth compared with 504 GB/s on the RTX 4070. The higher bandwidth supports larger batch sizes during inference and training.

What TDP values are listed for these GPUs?▾

The GH200 lists 900W TDP and the RTX 4070 lists 200W TDP. Power differences affect suitability for dense server racks versus standard desktop systems.

Can the RTX 4070 run the same models as the GH200?▾

The RTX 4070 can run smaller models within its 12 to 16 GB limit while the GH200 handles models that require up to 96 GB. FP32 performance stands at 29.1 TFLOPS on the RTX 4070 versus 67 TFLOPS on the GH200.

What interconnect options exist on each card?▾

The GH200 supports NVLink-C2C and PCIe 5.0 while the RTX 4070 supports PCIe 4.0. These interfaces determine multi GPU scaling potential in different server configurations.

Which is cheaper to rent, the GH200 or the RTX 4070?▾

Cloud rental prices for both the GH200 and RTX 4070 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 4070?▾

The GH200 has 96 GB of HBM3 memory. The RTX 4070 has 12 to 16 GB of GDDR6X memory.

Can I find GH200 and RTX 4070 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 4070?▾

The GH200 uses the Hopper architecture (2023) while the RTX 4070 uses Ada Lovelace (2023). The GH200 delivers 17.0x the dense FP16 throughput (989 vs 58.3 TFLOPS, both without sparsity) and 7.9x the memory bandwidth of the RTX 4070.

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 4070. 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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