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Compare GPU and LLM inference API pricing between DigitalOcean and Omega Gradient. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $1.16/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Omega Gradient Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanOmega Gradient | ↑+$2.32(+111.0%) | |||
H100 SXM 80GB VRAM • $4.41/hour Updated: 9/6/2026 $2.09/hour Updated: 8/26/2026 ★Best Price Price Difference:↑+$2.32(+111.0%) | ||||
H200 141GB VRAM • DigitalOceanOmega Gradient | 8x GPU | ↑+$1.11(+33.0%) | ||
H200 141GB VRAM • $4.47/hour Updated: 9/6/2026 $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$1.11(+33.0%) | ||||
HGX B300 288GB VRAM • DigitalOcean | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanOmega Gradient | 2x GPU | ↑+$0.65(+69.7%) | ||
L40S 48GB VRAM • $1.57/hour Updated: 9/6/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.65(+69.7%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • DigitalOcean | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • DigitalOcean | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
A100 PCIE 40GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
A100 PCIE 40GB VRAM • Not Available $1.47/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
A100 SXM 80GB VRAM • Omega Gradient | Not Available | 4x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanOmega Gradient | ↑+$2.32(+111.0%) | |||
H100 SXM 80GB VRAM • $4.41/hour Updated: 9/6/2026 $2.09/hour Updated: 8/26/2026 ★Best Price Price Difference:↑+$2.32(+111.0%) | ||||
H200 141GB VRAM • DigitalOceanOmega Gradient | 8x GPU | ↑+$1.11(+33.0%) | ||
H200 141GB VRAM • $4.47/hour Updated: 9/6/2026 $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$1.11(+33.0%) | ||||
HGX B300 288GB VRAM • DigitalOcean | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanOmega Gradient | 2x GPU | ↑+$0.65(+69.7%) | ||
L40S 48GB VRAM • $1.57/hour Updated: 9/6/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.65(+69.7%) | ||||
MI300X 192GB VRAM • DigitalOcean | Not Available | — | ||
MI300X 192GB VRAM • | ||||
MI325X 256GB VRAM • DigitalOcean | Not Available | — | ||
MI325X 256GB VRAM • | ||||
MI355X 288GB VRAM • DigitalOcean | Not Available | — | ||
MI355X 288GB VRAM • | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Omega Gradient | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.42/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price | ||||
RTX 5090 32GB VRAM • Omega Gradient | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
| Model ↑ | DigitalOcean | Omega Gradient | Input Diff ↕ |
|---|---|---|---|
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $10.00 in $50.00 out | Not available | — |
Anthropic | $1.00 in $5.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $5.00 in $25.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $2.00 in $10.00 out | Not available | — |
DeepSeek | $0.250 in $0.800 out | Not available | — |
DeepSeek | $0.068 in $0.168 out | Not available | — |
DeepSeek | $0.870 in $1.74 out | Not available | — |
Google | $0.180 in $0.500 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
Compare DigitalOcean with another leading provider
On-demand NVIDIA and AMD GPU instances with per-hour billing and no long-term contracts.
Pre-configured images with PyTorch, TensorFlow, and CUDA for immediate productivity.
GPU Droplets work seamlessly with DigitalOcean's networking, storage, and managed databases.
Transparent per-hour pricing with no hidden fees or complex instance families.
Catalog of GPU listings from multiple suppliers, deployable as containers, VMs, or bare metal, with per-listing region, fabric (PCIe, SXM, NVLink), and boot-time details
Request-based sourcing for reserved capacity, matching workload requirements against a tracked supplier network with responses targeted within 24 hours
Monitors suppliers and public price sources across regions, publishing a cloud GPU price index and supplier pricing reports for benchmarking before commitment
Listings show a single all-in hourly price with per-GPU breakdowns; billing is prepaid from credits and accrues per hour only while an instance exists
Sources capacity from many independent suppliers rather than operating its own data centers, comparing options across price, region, and hardware configuration
Marketplace listings deployable as containers, VMs, or bare metal across supplier regions.
Brokered sourcing of reserved GPU clusters from the tracked supplier network.
Published market data covering supplier pricing and availability.
Single all-in hourly price per listing, prepaid from credits and billed only while the instance exists
Quoted per sourcing request through the desk, with terms set by the matched supplier
Sign up at digitalocean.com and verify your account.
Select GPU Droplets from the Create menu, choose your GPU type and configuration.
Select a pre-configured AI/ML image or a base OS image.
Launch your GPU Droplet and connect via SSH to start working.
Open the live compute catalog and filter listings by GPU model, region, and configuration.
Pick a listing, from single GPUs up to multi-GPU clusters, and review its all-in hourly rate.
Select Ubuntu with CUDA, PyTorch, or JupyterLab as the instance image.
Provide an SSH public key or generate one in the browser for instance access.
Launch the instance; billing accrues hourly from prepaid credits while it runs. For reserved clusters, submit a sourcing request instead and await matched options.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Marketplace inventory across US East, Central, and West, Canada, Europe West and East, and Asia Northeast, with availability tracked across nineteen regions
Live marketplace with per-listing details; sourcing desk requests answered within 24 hours