GPU comparison

GH200 vs RTX 5070

Specifications and current cloud pricing, side by side.

HoppervsBlackwellUpdated 33 days ago

The GH200 wins for the most common large scale training use case because its 989 TFLOPS dense FP16 and 96 GB HBM3 exceed the corresponding 61.7 TFLOPS dense FP16 and 12 to 16 GB GDDR7 of the RTX 5070 by clear margins listed in the specifications.

GH200 listed from $1.99/GPU/hrRTX 5070 listed from $0.17/GPU/hr

Specifications Compared

SpecGH200RTX 5070
TDP900W250W
VRAM96 GB12-16 GB
CUDA Cores16,8966,144
FP4 (dense)Not published493.9 TFLOPS
FP8 (dense)1,979 TFLOPS123.5 TFLOPS
Memory TypeHBM3GDDR7
ArchitectureHopperBlackwell
FP16 (dense)989 TFLOPS61.7 TFLOPS
Form FactorsSXMPCIe
INT8 (dense)1,979 TOPS246.9 TOPS
InterconnectNVLink-C2C, PCIe 5.0PCIe 5.0
Tensor Cores528192
FP32 Performance67 TFLOPS30.9 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth4,000 GB/s672 GB/s
FP4 (with sparsity)Not published987.8 TFLOPS
FP8 (with sparsity)3,958 TFLOPS246.9 TFLOPS
FP16 (with sparsity)1,979 TFLOPS123.5 TFLOPS
INT8 (with sparsity)3,958 TOPS493.9 TOPS

Performance Analysis

The FP16 dense figure of 989 TFLOPS on the GH200 exceeds the 61.7 TFLOPS dense FP16 on the RTX 5070 by a factor derived solely from those two values. This gap implies substantially higher throughput for matrix operations in training workloads when both GPUs execute dense FP16 computations. Memory bandwidth of 4000 GB/s versus 672 GB/s permits the GH200 to sustain larger batch sizes during inference or training sessions that move data at the higher rate. FP32 performance stands at 67 TFLOPS on the GH200 compared with 30.9 TFLOPS on the RTX 5070, indicating similar scaling for single precision workloads that rely on dense execution paths.

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 5070

RTX 5070 is not offered on-demand by any provider we track right now. See the RTX 5070 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 capacity together with 4000 GB/s bandwidth for models exceeding the 12 to 16 GB limit of the RTX 5070.

When to Choose the RTX 5070

The RTX 5070 fits deployments constrained to 250W TDP where 61.7 TFLOPS dense FP16 remains sufficient for smaller models that fit within 12 to 16 GB GDDR7. Its PCIe form factor and 672 GB/s bandwidth support compact installations that do not demand the 900W envelope of the GH200.

Use Cases

LLM Training
GH200

The GH200 supplies 989 TFLOPS dense FP16 and 96 GB HBM3 that accommodate models too large for the RTX 5070 memory capacity.

LLM Inference
GH200

Higher 4000 GB/s bandwidth on the GH200 supports larger batch sizes than the 672 GB/s available on the RTX 5070.

Fine-tuning
GH200

The 1979 TFLOPS dense FP8 rating of the GH200 enables faster iteration compared with 123.5 TFLOPS dense FP8 on the RTX 5070.

Stable Diffusion
RTX 5070

The 250W TDP of the RTX 5070 allows sustained operation in power limited environments where the 900W TDP of the GH200 is impractical.

Scientific Computing
GH200

FP32 performance of 67 TFLOPS on the GH200 surpasses the 30.9 TFLOPS FP32 of the RTX 5070 for precision sensitive calculations.

Frequently Asked Questions

What is the FP16 dense performance difference between these GPUs?▾

The GH200 lists 989 TFLOPS dense FP16 and the RTX 5070 lists 61.7 TFLOPS dense FP16, a direct comparison using only those two values.

Which GPU has higher memory bandwidth?▾

The GH200 reaches 4000 GB/s while the RTX 5070 reaches 672 GB/s as stated in the provided specifications.

How do the power requirements compare?▾

The GH200 carries a 900W TDP and the RTX 5070 carries a 250W TDP from the spec blocks.

Can the RTX 5070 match the GH200 for large model training?▾

The RTX 5070 memory capacity of 12 to 16 GB limits model size relative to the 96 GB HBM3 on the GH200.

What interconnect options exist for each device?▾

The GH200 supports NVLink-C2C and PCIe 5.0 while the RTX 5070 supports PCIe 5.0 only.

Which is cheaper to rent, the GH200 or the RTX 5070?▾

Cloud rental prices for both the GH200 and RTX 5070 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 5070?▾

The GH200 has 96 GB of HBM3 memory. The RTX 5070 has 12 to 16 GB of GDDR7 memory.

Can I find GH200 and RTX 5070 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 5070?▾

The GH200 uses the Hopper architecture (2023) while the RTX 5070 uses Blackwell (2025). The GH200 delivers 16.0x the dense FP16 throughput (989 vs 61.7 TFLOPS, both without sparsity) and 6.0x the memory bandwidth of the RTX 5070.

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Related comparisons

How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the GH200 and the RTX 5070. 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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