01
Fit review
The JANCTION team reviews workload requirements and confirms whether the requested environment can be delivered.
Managed GPU service
Managed GPU capacity for demanding workloads.
JANCTION provides GPU environments with confirmed capacity, clear access handover, and practical support for research, development, and production workloads.
Rentable GPUs
Select a GPU type to start a rental request with the model prefilled.
Request required
NVIDIA A100 80G PCIe
- Price
- 1.601 $/h
Request required
NVIDIA H100 80G PCIe
- Price
- 2.268 $/h
Request required
NVIDIA L40
- Price
- 1.184 $/h
Request required
NVIDIA RTX A6000
- Price
- 0.593 $/h
Request required
NVIDIA H200 NVLink
- Price
- 3.588 $/h
Request required
NVIDIA L40S PCIe
- Price
- 1.949 $/h
Request required
NVIDIA H100 NVLink
- Price
- 3.203 $/h
Request required
NVIDIA RTX 4090
- Price
- 0.718 $/h
Request required
NVIDIA RTX A4000
- Price
- 0.176 $/h
What JANCTION provides
02
Managed delivery
Environment preparation, access handover, and delivery details are coordinated before use begins.
03
Support boundary
Access scope, persistence expectations, changes, and release handling are clarified for the usage period.
Special GPU support plans
Programs for research institutions and startups that need GPU capacity for research, PoCs, and early product development.
Research Institution Support Plan
One-month free GPU credit
- H100 GPU credit up to $1,500 equivalent for eligible projects.
Direct-to-investor low-cost plan
- Continued use can be supported through investor-provided resources at reduced cost.
Joint research and PoC support
- PoC development support by JANCTION, joint-research matching with investors, and revenue-share model coordination.
- Model tuning and continuous updates can be carried out together with investors.
Startup Support Plan
One-month free GPU credit
- H100 GPU credit up to $1,500 equivalent for eligible projects.
Direct-to-investor low-cost plan
- Continued use can be supported through investor-provided resources at reduced cost.
GPU in-kind investment
- GPU usage fees from investor-provided resources may be recorded as investment support.
Co-development network with investors
- Support for synergy creation and technical collaboration with investor platforms.
Eligibility, available capacity, credit amount, and support terms are confirmed for each request.
Common workloads
- AI model training and fine-tuning
- Inference prototypes and private model testing
- Rendering, batch jobs, and GPU-heavy pipelines
- Custom CUDA, PyTorch, TensorFlow, JupyterLab, or inference server environments
Built for clear project use
- Capacity, pricing, lead time, and support terms are confirmed before delivery.
- Access, GPU allocation, storage expectations, and lifecycle state are recorded.
- Requests are handled by the JANCTION team so requirements and delivery conditions are clear before use.