Hyperscaler · Founded 2008 · Mountain View, USA

Google Cloud

Hyperscaler offering A3/A2 GPU VMs and Cloud TPU pod slices.

Visit Google Cloud Browse GPUs

Reliability99/100

Price tier

$$$$$

GPU types

in catalog

Spot / interruptible

Yes

~60% off

Pricing API

Public

Founded

2008

Regions

Compliance

certifications

Strengths

Cloud TPU access
Strong data/AI stack
Global private network

Tradeoffs

Premium pricing
GPU access is quota-gated

Compliance

SOC2ISO27001HIPAAPCI-DSS

Regions

us-central1us-east4europe-west4asia-southeast1

GPUs on Google Cloud

NVIDIA · Ada Lovelace

L4

Memory: 24 GB GDDR6
Bandwidth: 0.3 TB/s

budgetfrom$0.71/hr

NVIDIA · Ampere

A10

Memory: 24 GB GDDR6
Bandwidth: 0.6 TB/s

budgetfrom$0.75/hr

NVIDIA · Ada Lovelace

L40S

Memory: 48 GB GDDR6
Bandwidth: 0.9 TB/s

midfrom$1.19/hr

NVIDIA · Ampere

A100 40GB

Memory: 40 GB HBM2e
Bandwidth: 1.6 TB/s

midfrom$1.29/hr

NVIDIA · Ampere

A100 80GB

Memory: 80 GB HBM2e
Bandwidth: 2.0 TB/s

midfrom$1.19/hr

NVIDIA · Hopper

H100 PCIe

Memory: 80 GB HBM3
Bandwidth: 2.0 TB/s

highfrom$2.49/hr

NVIDIA · Hopper

H100 SXM

Memory: 80 GB HBM3
Bandwidth: 3.4 TB/s

highfrom$1.99/hr

NVIDIA · Hopper

H200

Memory: 141 GB HBM3e
Bandwidth: 4.8 TB/s

highfrom$2.89/hr

Google · TPU v4

TPU v4

Memory: 256 GB HBM2
Bandwidth: 1.2 TB/s

highfrom$2.46/hr

Google · TPU v5e

TPU v5e

Memory: 128 GB HBM2e
Bandwidth: 0.8 TB/s

midfrom$1.52/hr

Google · TPU v6e Trillium

TPU v6e (Trillium)

Memory: 256 GB HBM
Bandwidth: 1.6 TB/s

highfrom$2.20/hr

How GPUVerse uses this

GPUVerse scores Google Cloud on cost, performance, availability, reliability, compliance, and residency — then ranks it against all other providers for your specific workload. It never assumes Google Cloud is the answer; it proves whether it is.

Run a comparison