Cloud Credits Program — Now Open

Stop paying for
infrastructure experiments.

Get up to $100K in emma credits. Ship AI workloads across AWS, Azure, GCP, and bare-metal GPUs—without the cloud bill anxiety.

Apply for Credits Learn about emma
By Application Only
Selected teams get up to $100K in emma credits.
Deploy across 10+ providers. One control plane. Zero lock-in.
We're looking for teams pushing the boundaries of AI infrastructure—not everyone qualifies.
Q1 2026 — accepting applications now
What You Get

More than just credits.

A complete package to accelerate your infrastructure.

Cloud Credits
Up to $100,000
Use across any provider on emma's network. No strings attached.
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.
Top Performer Bonus
+$200,000
Exceptional teams may qualify for additional credits as they scale.
Apply Now
Available GPUs

Your GPUs. No waitlist.

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

Ultra
B300
288 GB HBM3e
Reasoning, trillion-param inference
$6.10/hr on-demand
Available
Blackwell
RTX 5000 PRO
48 GB GDDR7
Local AI, rendering, inference
$2.49/hr on-demand
Available
New
H200
141 GB HBM3e
LLM training, 100B+ models
$3.29/hr on-demand
Available
H100
80 GB HBM3
Training & inference up to 70B
$2.79/hr on-demand
Available
A100
80 GB HBM2e
Fine-tuning, batch inference
$1.79/hr on-demand
Available
L40S
48 GB GDDR6
Video AI, graphics + inference
$1.49/hr on-demand
Available
NVLink-ready • 8-GPU training nodes • Multi-GPU jobs • Reserved instances available
Why This Exists

Cloud complexity kills momentum.

Multi-cloud is hard. We make it not.

Your training job shouldn't care if it runs on AWS, Azure, or bare-metal. emma's control plane handles operations, networking, and governance across 10+ providers. One API. One bill. Zero lock-in.

GPU scarcity is real. Flexibility wins.

8-week H100 waitlists. When one cloud is out, another has capacity. emma finds it, provisions it, connects it—automatically. Your workload keeps running.

Egress fees are a tax on innovation.

Moving a 70B model costs $12.60 in standard egress. On emma's 400 Gbps network backbone: $3.78 — 70% lower. Move data between clouds like it's one datacenter.

This isn't charity. It's selection.

We're looking for teams building serious AI infrastructure. The credits help you move fast. The platform helps you stay fast. Prove the value—become a customer.

Eligibility

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

Takes 2 minutes. We respond within 5 hours.

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