Cloud GPU Rental - AWS, Azure, GCP | Starting at $1.49/hr | No Waitlist
✨ GPUs Available Now Across All Major Clouds

Cloud GPU Instances
AWS • Azure • GCP

Deploy GPU instances across AWS, Azure, GCP, and bare-metal providers from one platform. Starting at $1.49/hour with instant availability. Get up to $300K in cloud credits to accelerate your AI workloads.

Get Started
Backed by

Your GPUs. No waitlist.

Access the latest NVIDIA accelerators through emma's unified platform

H100
80 GB HBM3
$2.79
per hour
  • Training & inference up to 70B parameters
  • Available on AWS, Azure, GCP
  • NVLink-ready for multi-GPU
  • Reserved instances available
Available Now
H200
141 GB HBM3e
$3.29
per hour
  • LLM training, 100B+ models
  • Available across 6 cloud providers
  • 1.8x memory vs H100
  • Best for large-scale training
18 Units Available
A100
80 GB HBM2e
$1.79
per hour
  • Fine-tuning & batch inference
  • Available on AWS, Azure, GCP + 4 more
  • Proven enterprise reliability
  • Cost-effective for production
15 Units Available
L40S
48 GB GDDR6
$1.49
per hour
  • Video AI & graphics + inference
  • Multi-cloud availability
  • Best price-to-performance ratio
  • Perfect for inference workloads
Available Now
B300
288 GB HBM3e
$6.10
per hour
  • Reasoning, trillion-param inference
  • Available in 5 cloud providers
  • Next-gen Blackwell architecture
  • Maximum memory bandwidth
12 Units Available
RTX 5000 PRO
48 GB GDDR7
$2.49
per hour
  • Local AI, rendering, inference
  • Multi-cloud deployment
  • Professional visualization
  • Ray tracing capabilities
Available Now

Your Provider Doesn't have Them.
Or overcharges.

Ship AI workloads across AWS, Azure, GCP, and bare-metal GPUs—without the cloud bill anxiety

→

Instant AWS GPU Access

Deploy AWS GPU instances in seconds. No waitlists for p4d, p5, or g5 instances. Direct access to EC2 GPU compute with emma credits.

◇

Azure GPU Flexibility

Scale your Azure GPU workloads across NC, ND, and NV series instances. Seamlessly integrate with your existing Azure infrastructure.

▲

GCP GPU Performance

Access Google Cloud's A100 and H100 instances with competitive pricing. Leverage GCP's TPU alternatives when GPUs are constrained.

$

Transparent Pricing

Compare cloud GPU pricing across providers in real-time. No hidden egress fees. Save up to 70% on data transfer costs with emma's private network.

∞

Zero Lock-In

Switch between AWS, Azure, and GCP instantly. Your workloads run on the best available GPU instances without replatforming.

+

Enterprise Reliability

99.9% uptime SLA across all cloud providers. Automatic failover ensures your AI workloads never go down.

The Data Transfer Problem

GPUs can be cheap somewhere else, but your data isn't

Feature
emma
AWS GPU
Azure GPU
GCP GPU
H100 Availability
✓
Waitlist
Limited
Limited
Multi-Cloud Access
✓
✗
✗
✗
Reduced Egress Costs
70% savings
$0.09/GB
$0.08/GB
$0.12/GB
Reserved Instances
✓
✓
✓
✓
Startup Credits
Up to $300K
$100K max
$150K max
$200K max
Provider Flexibility
7 providers
AWS only
Azure only
GCP only
Setup Time
< 5 hours
2-3 days
2-4 days
1-3 days

Complete Package for your GPU Stack

Get up to $300K in credits for AWS, Azure, GCP, and more

$300,000

In cloud credits to deploy GPU instances across AWS, Azure, GCP, and 4 other providers. No restrictions. Use on any cloud.

Apply Now
Cloud CreditsUp to $100,000 initial allocation across any provider on emma's network.
Full Platform AccessComplete emma control plane. All features. All providers. All GPU types.
DevOps Support8 hours/month 1:1 with engineers. We'll optimize your multi-cloud setup.
Migration HelpWhite-glove migration from your current AWS, Azure, or GCP setup.
Private CommunityExclusive technical webinars and direct access to our engineering team.
Top Performer BonusExceptional teams may qualify for up to $200K in additional credits.

Who Qualifies

We prioritize teams with real compute needs—not tire-kickers

GPU or AI/ML workloadsTraining, inference, batch processing, or HPC across AWS, Azure, or GCP.
$5K+/month cloud spendCurrent or projected within 6 months across any cloud provider.
Ready to migrate in 30 daysNot "exploring options"—ready to deploy GPU instances immediately.
Open to case studyShare your multi-cloud success story (anonymized if needed).

Apply for GPU Package

Response time SLA: under 5 hours

By applying, you agree to emma's Terms and Privacy Policy.

What Happens Next

From application to cloud GPUs in days

1

Review

Within 5 hours

2

Architecture call

15 minutes

3

Onboarding

Platform setup

4

GPUs live

Start deploying

Credits are billing credits for your emma account. Use across AWS, Azure, GCP, or any provider on our network. Not cash.