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Scale AI inference with predictable cost & reliable performance
The end-to-end AI platform with production-ready infra for running inference workloads efficiently at scale
Customize GPU capacity and costs for your workloads with upfront pricing and no surprises
Deploy and scale production workloads faster, with less operational overhead
Minimize latency and maximize throughput with inference optimized performance
Run high-performance inference workloads with optimized GPU compute
Offer valid October 21-December 31. $200, 60-day free trial requires valid credit card. Additional $50 applied only to GPU Droplet usage. By signing up, you agree to the Terms of Service.
Join 600k+ companies getting real results like these:
(for Droplets & Volumes block storage)
Ready to stop letting cloud complexity and surprise costs slow your team down?
See how DigitalOcean helps teams deploy faster and keep cloud costs predictable.
Scale AI inference with predictable cost and reliable performance
$90,000
Saved per month
Predictable Performance. Predictable Cost.
Performance and pricing engineered for real production AI workloads.
Control cost per outcome—not just infrastructure spend
Improve latency, throughput, and GPU efficiency in production
Deploy and scale inference workloads without operational bottlenecks
Estimate costs upfront and eliminate surprise cloud bills
Run workloads on optimized GPU cloud infrastructure, including H100 and NVIDIA Blackwell (B200/B300) GPUs
AI infrastructure today is fragmented, forcing teams to stitch together tools, manage complexity, and sacrifice cost and performance at scale.
Unpredictable cloud pricing makes monthly costs hard to forecast and defend
As infrastructure grows more complex, deployments slow teams down
Inconsistent GPU availability adds friction just when teams are ready to scale
DigitalOcean is the inference cloud built for production AI
Run inference in production without friction
Spend less time setting up infrastructure and more time shipping features.
Deploy serverless inference APIs or dedicated inference infrastructure
Power real-time applications with a scalable AI inference API
Support LLM inference APIs and multi-model workloads
Built for GPU cloud for inference, not general-purpose compute
Get the flexibility you need without taking on
full operational overhead
Run real production workloads without turning your team into an infra org.
Managed infrastructure with sane defaults, not endless configuration
Support for CPU, GPU, and AI workloads on the same platform
Scale up, down, or change direction without long-term lock-in
186%
ROI
99.99%
Uptime SLA
Unlock predictable cloud costs in 3 steps
Book your free 30-minute walkthrough
1
See how costs, deployments, and scaling actually work
2
Try it safely, and scale without long-term lock-in
3
The end-to-end AI platform with production-ready infra for running inference efficiently at scale
Book a call with our team and see how you can:
Customize GPU capacity and costs specifically for your needs
Deploy and scale production workloads faster, with less operational overhead
Estimate GPU cloud costs upfront and avoid surprise bills
Minimize latency and maximize throughput with inference optimized performance
Run high-performance inference workloads with optimized GPU compute
“DigitalOcean was the fastest provider to get us up and running, enabling us to advance our AI programs. The collaboration on performance optimization coupled with the support from the DigitalOcean team of solutions architects, accelerated our progress by roughly two to three times.”
Oscar Wu
AI Research Scientist, Workato
“This partnership is a great catalyst for our mission to accelerate the future of AI-generated content”
Gorkem Yurtseven
Chief Technology Officer, fal
“We pushed DigitalOcean aggressively on performance, latency, and scale. DigitalOcean delivered reliable performance that unlocked higher sustained throughput and improved economics, which directly supports the growth of our platform.”
David Brinker
Senior Vice President of Partnerships, Character.ai