GPU comparison

H100 vs T4

Specifications and current cloud pricing, side by side.

HoppervsTuringUpdated 17 days ago

The H100 is the stronger choice for the most common use case of LLM training. Its 989 TFLOPS dense FP16 rating and 3350 GB/s bandwidth deliver performance levels the T4 cannot match with its 65 TFLOPS and 320 GB/s specifications.

H100 listed from $2.59/GPU/hrT4 listed from $0.27/GPU/hr

Right now, from live stock

Specifications Compared

SpecH100T4
TDP700W70W
VRAM80-94 GB16 GB
CUDA Cores16,8962,560
FP8 (dense)1,979 TFLOPSNot published
Memory TypeHBM3GDDR6
ArchitectureHopperTuring
FP16 (dense)989 TFLOPS65 TFLOPS
Form FactorsSXM5, PCIe, NVLPCIe
INT8 (dense)1,979 TOPS130 TOPS
InterconnectNVLink, PCIe 5.0, InfiniBandPCIe 3.0
Tensor Cores528320
FP32 Performance67 TFLOPS8.1 TFLOPS
FP64 Performance34 TFLOPSNot published
Memory Bandwidth3,350 GB/s320 GB/s
FP8 (with sparsity)3,958 TFLOPSNot published
FP16 (with sparsity)1,979 TFLOPSNot published
INT8 (with sparsity)3,958 TOPSNot published

Performance Analysis

Dense FP16 performance reaches 989 TFLOPS on the H100 and 65 TFLOPS on the T4. This difference means the H100 completes matrix operations in training and inference at a substantially higher rate than the T4. With sparsity the H100 attains 1979 TFLOPS in FP16 while the T4 figure remains at its dense value of 65 TFLOPS. Memory bandwidth of 3350 GB/s on the H100 versus 320 GB/s on the T4 allows larger batch sizes during model execution without frequent data movement stalls. FP32 throughput of 67 TFLOPS on the H100 compared with 8.1 TFLOPS on the T4 further widens the advantage for precision sensitive scientific workloads. The H100 INT8 dense rating of 1979 TOPS exceeds the T4 INT8 dense rating of 130 TOPS by a wide 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.

H100

ProviderRegionGPUsPer GPU / hrInstance / hrDeploy
Vast.aiCzechia, CZ1$2.59—Deploy
Orilille-42$2.90$5.80Deploy
Massed Computeus-central-32$3.11$6.22Deploy
RunPodglobal1$3.19—Deploy
ScalewayWarsaw, Poland (WAW2)2$3.24$6.48Deploy

8 providers in stock, 24 offers (cheapest per provider shown). All H100 offers, price history and alerts

T4

T4 is not offered on-demand by any provider we track right now. See the T4 rental page for last-seen listed prices and a price alert.

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When to Choose the H100

The H100 suits LLM training scenarios that require 989 TFLOPS dense FP16 throughput and 80 to 94 GB memory capacity. Workloads involving large batch sizes benefit from the 3350 GB/s bandwidth figure. The 700W TDP is acceptable in data centers equipped for high power draw.

When to Choose the T4

The T4 fits inference tasks where 70W TDP and 16 GB memory suffice for smaller models. Its 65 TFLOPS dense FP16 rating supports moderate throughput needs without excessive power consumption. PCIe form factor deployment remains straightforward in standard server configurations.

Use Cases

LLM Training
H100

The H100 supplies 989 TFLOPS dense FP16 and 80 to 94 GB memory that exceed the T4 65 TFLOPS and 16 GB figures.

LLM Inference
H100

Dense FP16 performance of 989 TFLOPS on the H100 supports higher throughput than the 65 TFLOPS available on the T4.

Fine-tuning
H100

The H100 3350 GB/s bandwidth and 1979 TFLOPS dense FP8 rating enable efficient adaptation of models beyond T4 capabilities.

Stable Diffusion
Either

Both GPUs handle image generation yet the H100 989 TFLOPS dense FP16 provides faster iteration while the T4 70W TDP suits lighter deployments.

Scientific Computing
H100

FP32 throughput of 67 TFLOPS on the H100 surpasses the 8.1 TFLOPS rating of the T4 for compute heavy simulations.

Frequently Asked Questions

What memory configurations distinguish the H100 from the T4?▾

The H100 offers 80 to 94 GB HBM3 memory while the T4 contains 16 GB GDDR6 memory. Bandwidth differs as well at 3350 GB/s versus 320 GB/s.

How do FP16 ratings compare between the two GPUs?▾

Dense FP16 performance measures 989 TFLOPS on the H100 and 65 TFLOPS on the T4. With sparsity the H100 reaches 1979 TFLOPS.

Which GPU handles higher INT8 workloads?▾

The H100 lists 1979 TOPS dense INT8 compared with 130 TOPS dense INT8 on the T4. Sparsity on the H100 further increases this value to 3958 TOPS.

What power requirements separate the H100 and T4?▾

TDP reaches 700W for the H100 and 70W for the T4. Form factor options include SXM5 and PCIe for the H100 versus PCIe only for the T4.

Do the GPUs share the same interconnect options?▾

The H100 supports NVLink and InfiniBand while the T4 relies on PCIe 3.0. PCIe 5.0 is also available on the H100.

Which is cheaper to rent, the H100 or the T4?▾

Cloud rental prices for both the H100 and T4 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 H100 have compared to the T4?▾

The H100 has 80 to 94 GB of HBM3 memory. The T4 has 16 GB of GDDR6 memory.

Can I find H100 and T4 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 H100 and the T4?▾

The H100 uses the Hopper architecture (2022) while the T4 uses Turing (2018). The H100 delivers 15.2x the dense FP16 throughput (989 vs 65 TFLOPS, both without sparsity) and 10.5x the memory bandwidth of the T4.

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How this page is made

  • Specifications come from the NVIDIA, AMD and Intel datasheets for the H100 and the T4. 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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