GPU Comparison

Compare NVIDIA GPUs

Compare NVIDIA H100, H200, B200, A100, L40S and L4 GPUs across architecture, memory, bandwidth, AI performance, training, inference, HPC and practical cloud workload fit.

Last reviewed: August 11, 2026Research methodology

6

GPUs

15

Unique Comparisons

4

GPU Architectures

Official

Specification Sources

Which NVIDIA GPU Should You Choose?

NVIDIA GPUs can look similar on a specification sheet while serving very different infrastructure needs. B200, H200, H100 and A100 are primarily high-performance data-center accelerators, while L40S and L4 place more emphasis on inference, graphics, media or deployment efficiency.

The right GPU depends on more than peak compute. GPU memory, memory bandwidth, precision support, NVLink, MIG, power consumption, model size, batch size and cloud pricing can all change the decision.

The comparisons below examine each pair directly so you can move from a broad GPU shortlist to a workload-specific decision.

Start Here

Popular GPU Comparisons

These comparisons cover some of the most useful upgrade, replacement and workload-selection decisions across the current getinfra.cloud database.

H100H200

NVIDIA H100 vs H200

Hopper vs Hopper with H200 adding significantly more and faster GPU memory.

Compare GPUs
H100B200

NVIDIA H100 vs B200

Compare Hopper H100 with Blackwell B200 for next-generation training and inference.

Compare GPUs
H100A100

NVIDIA H100 vs A100

Hopper vs Ampere for transformer training, FP8 workloads, HPC and established AI deployments.

Compare GPUs
H200B200

NVIDIA H200 vs B200

Memory-focused Hopper H200 versus Blackwell B200 for frontier AI infrastructure.

Compare GPUs
L40SL4

NVIDIA L40S vs L4

Compare two Ada GPUs across memory, inference performance, graphics, video and power.

Compare GPUs

Browse GPUs Before Comparing

Open an individual GPU profile for specifications, provider availability, pricing information and workload guidance.

Blackwell

NVIDIA B200

180 GB HBM3e

Frontier AI training and inference

View GPU
Hopper

NVIDIA H200

141 GB HBM3e

Large LLMs and memory-intensive AI

View GPU
Hopper

NVIDIA H100

80 GB HBM3

High-end AI training and inference

View GPU
Ampere

NVIDIA A100

80 GB HBM2e

Established AI training and HPC

View GPU
Ada Lovelace

NVIDIA L40S

48 GB GDDR6

Inference, graphics and rendering

View GPU
Ada Lovelace

NVIDIA L4

24 GB GDDR6

Efficient inference and video AI

View GPU

Training · LLMs · HPC

High-End AI GPU Comparisons

Compare NVIDIA's major data-center accelerators across Ampere, Hopper and Blackwell generations.

H100H200

Hopper vs Hopper with H200 adding significantly more and faster GPU memory.

View comparison
H100B200

Compare Hopper H100 with Blackwell B200 for next-generation training and inference.

View comparison
H100A100

Hopper vs Ampere for transformer training, FP8 workloads, HPC and established AI deployments.

View comparison
H200B200

Memory-focused Hopper H200 versus Blackwell B200 for frontier AI infrastructure.

View comparison
H200A100

Compare large-memory Hopper with established Ampere for LLMs, training and HPC.

View comparison
B200A100

Blackwell versus Ampere across memory, precision support, training and multi-GPU scale.

View comparison

Training vs Inference

AI Accelerator vs Inference GPU Comparisons

These comparisons are useful when deciding whether a high-end HBM accelerator is necessary or whether an inference-focused PCIe GPU is enough.

H100L40S

High-end Hopper compute versus Ada inference, rendering and graphics versatility.

View comparison
H100L4

Maximum AI performance versus compact, low-power inference and video acceleration.

View comparison
H200L40S

Large-model HBM3e acceleration versus 48 GB Ada inference, graphics and media.

View comparison
H200L4

Large-scale Hopper AI versus efficient 24 GB inference and video deployment.

View comparison
B200L40S

Frontier Blackwell AI acceleration versus Ada inference, visualization and rendering.

View comparison
B200L4

Compare opposite ends of the GPU spectrum: frontier AI versus efficient inference.

View comparison
A100L40S

Ampere HBM compute and training versus Ada FP8 inference, graphics and media.

View comparison
A100L4

Training and HPC accelerator versus low-power Ada inference and video GPU.

View comparison

Inference · Graphics · Video

Inference and Graphics GPU Comparisons

L40SL4

Compare two Ada GPUs across memory, inference performance, graphics, video and power.

View comparison

How to Compare Cloud GPUs

A useful GPU comparison should answer whether the hardware fits your actual workload rather than simply declaring the GPU with the highest specifications the winner.

GPU Memory

Start with whether your model, batch size, KV cache or dataset fits comfortably in GPU memory.

Compute & Precision

Compare Tensor Core generation and support for precision formats such as TF32, FP16, FP8 and FP4.

Scaling

NVLink, MIG and multi-GPU topology can matter as much as single-GPU performance.

Cloud Economics

The fastest GPU is not automatically the best value. Compare provider pricing after identifying the right hardware class.

Quick GPU Selection Guide

A simplified starting point before opening a detailed comparison.

Primary NeedStart WithWhy
Frontier AI trainingB200Blackwell, large HBM3e capacity and high-bandwidth scaling.
Very large LLM inferenceH200 or B200Large GPU memory pools and high memory bandwidth.
High-end general AIH100Strong Hopper training, inference and HPC platform.
Established training / HPCA100Mature Ampere platform with HBM, MIG and NVLink.
Inference + renderingL40SCombines Ada Tensor Cores with RTX and media capabilities.
Efficient inference / videoL4Low-power, low-profile deployment for inference and media.

Compare Cloud GPU Providers

Once you have identified the right GPU, compare provider availability, configurations and cloud pricing.

Browse Cloud GPUs