GPUs available now

Need GPUs.
Your provider doesn't have them. Or overcharges.

Get up to $300K in emma credits. Ship AI workloads across AWS, Azure, GCP, and bare-metal GPUs—without the cloud bill anxiety.

Your GPUs. No waitlist.

Access the latest NVIDIA accelerators through emma's unified platform.

12 units now
B300
288 GB HBM3e
Reasoning, trillion-param inference
$6.10/hr on-demand
Available
in 5 clouds
RTX 5000 PRO
48 GB GDDR7
Local AI, rendering, inference
$2.49/hr on-demand
Available
18 units now
H200
141 GB HBM3e
LLM training, 100B+ models
$3.29/hr on-demand
Available
in 6 clouds
H100
80 GB HBM3
Training & inference up to 70B
$2.79/hr on-demand
Available
15 units now
A100
80 GB HBM2e
Fine-tuning, batch inference
$1.79/hr on-demand
Available
in 7 clouds
L40S
48 GB GDDR6
Video AI, graphics + inference
$1.49/hr on-demand
Available

The data transfer problem

GPUs are cheap somewhere else. But your data isn't there.

Without emma
Data
GCP
$0.12/GB
GPUs
AWS
$12.60
per 70B model sync
With emma
Data
GCP
emma
Network
GPUs
AWS
–70%
egress costs
40%
of AI bills = data transfer
+latency
on every sync
lock-in headaches

emma solves both problems

Access to GPUs everywhere + private network to move your data cheap.

GPUs everywhere

H100, H200, B300. Available when hyperscalers can't deliver.

Cheap data pipe

Private backbone between providers. Your data moves fast and cheap.

–70%

One contract

No vendor lock-in. Switch providers when you need. No replatforming.

Backed by

More than just credits.

A complete package to accelerate your infrastructure.

Full Platform Access

No limitations

Complete emma control plane. All features. All providers. All GPUs.

DevOps Office Hours

8 hours / month

1:1 with our engineers. We'll help you build the ideal multi-cloud setup.

Migration Support

White-glove

Moving from AWS, GCP, or bare-metal? We'll handle the migration for you.

Community Access

Exclusive

Private meet-ups, technical webinars, and direct access to our team.

Who qualifies

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

GPU or AI/ML workloads Training, inference, batch processing, or HPC
$5K+/month cloud spend Current or projected within 6 months
Ready to migrate in 30 days Not "exploring options" — ready to ship
Open to case study Share your success (anonymized if needed)

Apply for Credits

Response time SLA: under 5 hours

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

What happens next

From application to GPUs in days.

1
Review
Within 5 hours
2
Architecture call
15 minutes
3
Onboarding
Platform setup
4
Credits live
Start deploying
Credits are billing credits for your emma account. Use across any provider. Not cash.