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Compare GPU and LLM inference API pricing between Lyceum and Omega Gradient. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.99/hour between comparable GPUs
| GPU Model ↑ | Lyceum 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 • LyceumOmega Gradient | 4x GPU | ↑+$1.08(+76.4%) | ||
A100 SXM 80GB VRAM • $2.50/hour Updated: 8/29/2026 $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price Price Difference:↑+$1.08(+76.4%) | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Lyceum | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • LyceumOmega Gradient | ↑+$1.50(+71.8%) | |||
H100 SXM 80GB VRAM • $3.59/hour Updated: 8/29/2026 $2.09/hour Updated: 8/26/2026 ★Best Price Price Difference:↑+$1.50(+71.8%) | ||||
H200 141GB VRAM • LyceumOmega Gradient | 8x GPU | ↑+$0.63(+18.8%) | ||
H200 141GB VRAM • $3.99/hour Updated: 8/29/2026 $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.63(+18.8%) | ||||
HGX B300 288GB VRAM • Lyceum | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • LyceumOmega Gradient | 2x GPU | ↑+$0.76(+82.7%) | ||
L40S 48GB VRAM • $1.69/hour Updated: 8/29/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.76(+82.7%) | ||||
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 • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Omega Gradient | Not Available | — | ||
RTX PRO 6000 96GB 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 • LyceumOmega Gradient | 4x GPU | ↑+$1.08(+76.4%) | ||
A100 SXM 80GB VRAM • $2.50/hour Updated: 8/29/2026 $1.42/hour 4x GPU configuration Updated: 8/22/2026 ★Best Price Price Difference:↑+$1.08(+76.4%) | ||||
A40 48GB VRAM • Omega Gradient | Not Available | — | ||
A40 48GB VRAM • | ||||
B200 180GB VRAM • Lyceum | Not Available | — | ||
B200 180GB VRAM • | ||||
GH200 96GB VRAM • Omega Gradient | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • LyceumOmega Gradient | ↑+$1.50(+71.8%) | |||
H100 SXM 80GB VRAM • $3.59/hour Updated: 8/29/2026 $2.09/hour Updated: 8/26/2026 ★Best Price Price Difference:↑+$1.50(+71.8%) | ||||
H200 141GB VRAM • LyceumOmega Gradient | 8x GPU | ↑+$0.63(+18.8%) | ||
H200 141GB VRAM • $3.99/hour Updated: 8/29/2026 $3.36/hour 8x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.63(+18.8%) | ||||
HGX B300 288GB VRAM • Lyceum | Not Available | — | ||
HGX B300 288GB VRAM • | ||||
L40 40GB VRAM • Omega Gradient | Not Available | — | ||
L40 40GB VRAM • | ||||
L40S 48GB VRAM • LyceumOmega Gradient | 2x GPU | ↑+$0.76(+82.7%) | ||
L40S 48GB VRAM • $1.69/hour Updated: 8/29/2026 $0.93/hour 2x GPU configuration Updated: 8/26/2026 ★Best Price Price Difference:↑+$0.76(+82.7%) | ||||
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 • | ||||
RTX 6000 Ada 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A6000 48GB VRAM • Omega Gradient | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Omega Gradient | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
| Model ↑ | Lyceum | Omega Gradient | Input Diff ↕ |
|---|---|---|---|
DeepSeek | $0.300 in $0.450 out | Not available | — |
DeepSeek | $0.150 in $0.300 out | Not available | — |
DeepSeek | $1.75 in $3.50 out | Not available | — |
Google | $0.100 in $0.300 out | Not available | — |
Zhipu | $1.00 in $3.20 out | Not available | — |
Zhipu | $1.40 in $4.40 out | Not available | — |
Zhipu | $1.50 in $4.50 out | Not available | — |
Z AI | $1.75 in $4.50 out | Not available | — |
Z AI | $0.200 in $0.500 out | Not available | — |
OpenAI | $0.150 in $0.600 out | Not available | — |
Moonshot | $0.500 in $2.50 out | Not available | — |
Kimi | $1.00 in $4.00 out | Not available | — |
Kimi | $1.25 in $4.50 out | Not available | — |
Moonshot | $3.00 in $15.00 out | Not available | — |
NVIDIA | $0.600 in $1.80 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Lyceum with another leading provider
Compare Lyceum with another leading provider
Compare Lyceum with another leading provider
Compare Lyceum with another leading provider
Compare Lyceum with another leading provider
Compare Lyceum with another leading provider
API access to open-source models with pay-per-token pricing.
Reserved GPU capacity for production models ensuring low latency and high availability.
Run training jobs on GPUs without the need for infrastructure management.
Full root access to customizable GPU instances ready in seconds.
Support for configurations from 8 to 8,000 GPUs with InfiniBand connectivity.
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
Create an account on the Lyceum platform.
Select between inference, training, or virtual machine options.
Use provided API or CLI instructions to submit your workload.
Utilize dashboard features to track resource usage and performance.
Contact the sales or support team for assistance.
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.
GPUs hosted in European data centres
Contact support via sales inquiry or demo booking.
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