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NVIDIA T4 vs Hopper H100 SXM5

Complete side-by-side comparison of specs, performance, memory, power efficiency, and pricing.

NVIDIA

NVIDIA T4

5

Spec Wins

NVIDIA

Hopper H100 SXM5

73

Detailed Specifications

SpecNVIDIA T4Hopper H100 SXM5
ArchitectureTuring (TU104) Hopper
Memory16GB GDDR6 80GB HBM3
Memory Bandwidth320 GB/s 3,350 GB/s
FP16 TFLOPS65 1,979
FP8 TFLOPS0 3,958
BF16 TFLOPS0 1,979
INT8 TOPS130 3,958
TDP70W 700W
InterconnectPCIe Gen 3 ×16 (0 GB/s) NVLink 4.0 (900 GB/s) (900 GB/s)
Perf Score5 73
EcosystemCUDA CUDA
Est. Price$2,000 $25,000

NVIDIA T4 — Best For

Budget InferenceNLP ServingHigh-Density GPU Farms

Hopper H100 SXM5 — Best For

LLM TrainingHPC

Who Should Choose Each GPU?

Choose NVIDIA T4 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Have power-constrained data centers (70W vs 700W TDP)
  • Working with a tighter CapEx budget (lower list price)
  • Running Budget Inference workloads
  • Running NLP Serving workloads
  • Running High-Density GPU Farms workloads

Choose Hopper H100 SXM5 if you…

  • Need maximum CUDA/TensorRT/vLLM ecosystem compatibility
  • Need more VRAM (80GB vs 16GB) for large model inference
  • Prioritize raw FP8 throughput (3,958 vs 0 TFLOPS)
  • Running LLM Training workloads
  • Running HPC workloads

Verdict

The NVIDIA T4 and Hopper H100 SXM5 target different priorities. The Hopper H100 SXM5's 80GB of HBM3 gives it a clear edge for large-model inference where fitting the full model in VRAM eliminates quantization overhead. For training throughput, the Hopper H100 SXM5's 3,958 FP8 TFLOPS outpaces the NVIDIA T4's 0 TFLOPS. Both GPUs use CUDA, so ecosystem switching cost is not a factor. Use our TCO Calculator to model the full 3-year cost difference for your specific utilization and power costs.

NVIDIA T4 vs Hopper H100 SXM5: Common Questions

Which is faster, NVIDIA T4 or Hopper H100 SXM5?+

In FP8 throughput, the Hopper H100 SXM5 leads with 3,958 TFLOPS vs 0 TFLOPS. For LLM inference, memory capacity and bandwidth often matter more than raw TFLOPS — the Hopper H100 SXM5 has more VRAM (80GB).

Is NVIDIA T4 or Hopper H100 SXM5 better for LLM training?+

For LLM training at scale, the Hopper H100 SXM5 has higher raw throughput. However, the choice also depends on your software stack: NVIDIA T4 offers CUDA compatibility with the widest framework support (PyTorch, JAX, TensorRT).

What is the price difference between NVIDIA T4 and Hopper H100 SXM5?+

The NVIDIA T4 is estimated at $2,000 per unit and the Hopper H100 SXM5 at $25,000. Actual pricing varies by vendor, volume, and configuration. Check our Buy page for current reseller pricing.

Which GPU is more power efficient, NVIDIA T4 or Hopper H100 SXM5?+

The NVIDIA T4 has a lower TDP (70W vs 700W). Performance-per-watt depends on your workload — for FP8 inference, divide TFLOPS by TDP: NVIDIA T4 = 0.0 TFLOPS/W vs Hopper H100 SXM5 = 5.7 TFLOPS/W.

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