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Compare GPU and LLM inference API pricing between Novita AI and UpCloud. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.46/hour between comparable GPUs
| GPU Model ↑ | Novita AI Price | UpCloud Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Novita AIUpCloud | 2x GPU | ↓$0.19(9.8%) | ||
H100 SXM 80GB VRAM • $1.70/hour Updated: 9/20/2026 ★Best Price $1.89/hour 2x GPU configuration Updated: 9/12/2026 Price Difference:↓$0.19(9.8%) | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Novita AIUpCloud | ↓$0.73(57.1%) | |||
L40S 48GB VRAM • $0.55/hour Updated: 9/20/2026 ★Best Price $1.28/hour Updated: 9/15/2026 Price Difference:↓$0.73(57.1%) | ||||
RTX 4090 24GB VRAM • Novita AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Novita AI | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
B200 180GB VRAM • UpCloud | Not Available | 2x GPU | — | |
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Novita AIUpCloud | 2x GPU | ↓$0.19(9.8%) | ||
H100 SXM 80GB VRAM • $1.70/hour Updated: 9/20/2026 ★Best Price $1.89/hour 2x GPU configuration Updated: 9/12/2026 Price Difference:↓$0.19(9.8%) | ||||
L4 24GB VRAM • UpCloud | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Novita AIUpCloud | ↓$0.73(57.1%) | |||
L40S 48GB VRAM • $0.55/hour Updated: 9/20/2026 ★Best Price $1.28/hour Updated: 9/15/2026 Price Difference:↓$0.73(57.1%) | ||||
RTX 4090 24GB VRAM • Novita AI | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5090 32GB VRAM • Novita AI | Not Available | — | ||
RTX 5090 32GB VRAM • | ||||
| Model ↑ | Novita AI | UpCloud | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.700 in $2.50 out | Not available | — |
DeepSeek | $0.060 in $0.090 out | Not available | — |
DeepSeek | $0.800 in $0.800 out | Not available | — |
DeepSeek | $0.270 in $1.00 out | Not available | — |
DeepSeek | $0.270 in $1.00 out | Not available | — |
DeepSeek | $0.270 in $0.410 out | Not available | — |
DeepSeek | $0.140 in $0.280 out | Not available | — |
DeepSeek | $0.440 in $1.32 out | Not available | — |
DeepSeek | $1.60 in $3.20 out | Not available | — |
DeepSeek | $0.300 in $1.20 out | Not available | — |
Baidu | $0.070 in $0.280 out | Not available | — |
Baidu | $0.420 in $1.25 out | Not available | — |
Google | $0.050 in $0.100 out | Not available | — |
Google | $0.119 in $0.200 out | Not available | — |
Google | $0.130 in $0.400 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Novita AI with another leading provider
Compare Novita AI with another leading provider
Compare Novita AI with another leading provider
Compare Novita AI with another leading provider
Compare Novita AI with another leading provider
Compare Novita AI with another leading provider
One endpoint for 200+ text, image, audio and video models, callable with existing OpenAI client libraries
Qwen, DeepSeek, GLM, Kimi, MiniMax, Llama, Gemma and Nemotron families served serverlessly with per-token billing
Cache-read pricing published separately from standard input pricing on most chat models
Per-second serverless GPU jobs, on-demand instances, and bare-metal clusters with H100 and H200 hardware
Dedicated deployments for workloads that need reserved capacity rather than shared serverless throughput
Isolated runtimes for agent workloads that call models and execute tools, billed per second
No shared hardware — each GPU is always dedicated to a single server with full performance isolation
Helsinki data center powered entirely by renewable energy with up to 90% waste heat recovery for district heating
GDPR-compliant, ISO 27001-certified infrastructure in Finland; UpCloud is also a CISPE member
No egress fees — outbound data transfer is included at no extra cost on all plans, subject to a Fair Transfer Policy
Pay only for active compute time with hourly billing, no rigid contracts or long-term commitments required
Published uptime commitment covering GPU Servers, Premium and Cloud Native servers, and managed databases; entry-level Starter cloud servers carry a 99.99% SLA
Serverless per-token inference across text, image, audio and video models through an OpenAI-compatible API
On-demand and serverless GPU compute, plus bare-metal clusters for larger deployments
On-demand and spot NVIDIA L4, L40S, H100, and B200 GPU instances with dedicated hardware and AMD EPYC processors
Dedicated private cloud infrastructure with NVIDIA L4, L40S, and H200 NVL GPUs
Hourly billing for L4, L40S, H100, and B200 GPU instances with no upfront commitment — pay only for active compute time
Discounted spot pricing for GPU Servers, offering lower hourly rates for interruptible workloads
Fixed monthly pricing for dedicated private cloud GPU infrastructure with L4, L40S, and H200 NVL
Sign up at novita.ai and generate an API key from the dashboard
Set the base URL to Novita's OpenAI-compatible endpoint and pass the API key as the bearer token
Browse the model library for the model id, then pass it as the model parameter
Move to a private endpoint or dedicated GPU instance when shared serverless throughput is not enough
Sign up at upcloud.com and complete account verification; a 30-day free trial with starting credits is available
Choose from NVIDIA L4, L40S, H100, or B200 GPU configurations with varying vCPU and RAM options
Use pre-configured GPU Ubuntu templates to get started quickly with CUDA and ML frameworks
Add block storage devices (1 GB–4 TB each) from any storage tier for your operating system and data
Regional availability is not published on the marketing site.
Documentation site, dashboard guidance, and email support at support@novita.ai.
15 data centers across 12 countries spanning Northern Europe, Central Europe, North America, and Asia Pacific; GPU Servers are concentrated in Helsinki, Finland (Telia Helsinki Data Center)
In-house technical support available 24/7 via live chat and email, plus documentation, tutorials, an API reference at developers.upcloud.com, and a public status page