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Compare GPU and LLM inference API pricing between DigitalOcean and Lium.io. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $2.15/hour between comparable GPUs
| GPU Model ↑ | DigitalOcean Price | Lium.io Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Lium.io | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Lium.io | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.23/hour 8x GPU configuration Updated: 9/12/2026 ★Best Price | ||||
B200 180GB VRAM • Lium.io | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 PCIe 80GB VRAM • Lium.io | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanLium.io | 2x GPU | ↑+$2.86(+184.5%) | ||
H100 SXM 80GB VRAM • $4.41/hour Updated: 9/12/2026 $1.55/hour 2x GPU configuration Updated: 9/12/2026 ★Best Price Price Difference:↑+$2.86(+184.5%) | ||||
H200 141GB VRAM • DigitalOceanLium.io | ↑+$1.47(+49.0%) | |||
H200 141GB VRAM • $4.47/hour Updated: 9/12/2026 $3.00/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.47(+49.0%) | ||||
HGX B300 288GB VRAM • DigitalOceanLium.io | 8x GPU | ↑+$4.19(+59.9%) | ||
HGX B300 288GB VRAM • $11.19/hour Updated: 9/12/2026 $7.00/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price Price Difference:↑+$4.19(+59.9%) | ||||
L40 40GB VRAM • Lium.io | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanLium.io | ↑+$1.19(+313.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 9/12/2026 $0.38/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.19(+313.2%) | ||||
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 3090 24GB VRAM • Lium.io | Not Available | 2x GPU | — | |
RTX 3090 24GB VRAM • Not Available $0.16/hour 2x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Lium.io | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.30/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
A100 PCIE 40GB VRAM • Lium.io | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Lium.io | Not Available | 8x GPU | — | |
A100 SXM 80GB VRAM • Not Available $1.23/hour 8x GPU configuration Updated: 9/12/2026 ★Best Price | ||||
B200 180GB VRAM • Lium.io | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 PCIe 80GB VRAM • Lium.io | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • DigitalOceanLium.io | 2x GPU | ↑+$2.86(+184.5%) | ||
H100 SXM 80GB VRAM • $4.41/hour Updated: 9/12/2026 $1.55/hour 2x GPU configuration Updated: 9/12/2026 ★Best Price Price Difference:↑+$2.86(+184.5%) | ||||
H200 141GB VRAM • DigitalOceanLium.io | ↑+$1.47(+49.0%) | |||
H200 141GB VRAM • $4.47/hour Updated: 9/12/2026 $3.00/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.47(+49.0%) | ||||
HGX B300 288GB VRAM • DigitalOceanLium.io | 8x GPU | ↑+$4.19(+59.9%) | ||
HGX B300 288GB VRAM • $11.19/hour Updated: 9/12/2026 $7.00/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price Price Difference:↑+$4.19(+59.9%) | ||||
L40 40GB VRAM • Lium.io | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • DigitalOceanLium.io | ↑+$1.19(+313.2%) | |||
L40S 48GB VRAM • $1.57/hour Updated: 9/12/2026 $0.38/hour Updated: 9/12/2026 ★Best Price Price Difference:↑+$1.19(+313.2%) | ||||
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 3090 24GB VRAM • Lium.io | Not Available | 2x GPU | — | |
RTX 3090 24GB VRAM • Not Available $0.16/hour 2x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
RTX 4000 Ada 20GB VRAM • DigitalOcean | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX 4090 24GB VRAM • Lium.io | Not Available | 8x GPU | — | |
RTX 4090 24GB VRAM • Not Available $0.30/hour 8x GPU configuration Updated: 9/11/2026 ★Best Price | ||||
| Model ↑ | DigitalOcean | Lium.io | 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
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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.
Offers a variety of NVIDIA GPUs including B200, H100, and RTX 4090.
Supports different configurations including CPU and memory options.
Data centers in multiple countries including the US, Europe, and Australia.
Multiple instances report reliability ratings of over 90%.
Supports GPU splitting and various resource scaling options.
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.
Create an account on Lium.io.
Select the desired GPU or CPU instance.
Set specific configurations such as memory and storage.
Start the compute instance and access it via terminal.
Track your resource utilization and manage instances accordingly.
GPU Droplets are available in select US data centers with expansion planned.
24/7 support via ticket system, extensive documentation, and active community forums.
Available in Australia, United States, various European countries
Support channels not explicitly mentioned.