- Primary focus
- Run Qwen3.8-Flash-Next locally on supported consumer GPUs
- Deployment
- Self-hosted / Web
- Source model
- Open source
- Pricing model
- open source
- API available
- Yes
- Windows desktop
- Yes
- Mobile app
- Not specified
- Overview
- Open-source local inference engine for running a 125B mixture-of-experts model on supported NVIDIA or AMD PCs, with OpenAI and Anthropic-compatible APIs.
| Attribute |  AnyscaleOther license | |
|---|---|---|
| Overview | ||
| Primary focus | Run Qwen3.8-Flash-Next locally on supported consumer GPUs | Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster. |
| Deployment | Self-hosted / Web | Self-hosted |
| Source model | Open source | Other license |
| Pricing model | open source | paid |
| API available | Yes | Yes |
| Windows desktop | Yes | Not specified |
| Mobile app | Not specified | Not specified |
| Overview | Open-source local inference engine for running a 125B mixture-of-experts model on supported NVIDIA or AMD PCs, with OpenAI and Anthropic-compatible APIs. | Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC). |
| Explore further | ||
| Vendor website | Visit vendor ↗ | Visit vendor ↗ |
| ITHub profile | View full profile → | View full profile → |
AnyscaleOther license- Primary focus
- Managed platform for Ray, scaling AI/ML and Python workloads from a laptop to a cluster.
- Deployment
- Self-hosted
- Source model
- Other license
- Pricing model
- paid
- API available
- Yes
- Windows desktop
- Not specified
- Mobile app
- Not specified
- Overview
- Anyscale is the company behind Ray, the open-source distributed computing framework born at UC Berkeley's RISELab. Its managed platform runs training, batch inference, and LLM serving workloads on autoscaling Ray clusters, hosted or in your own cloud (BYOC).
ⓘ Confirm technical details and prices with each vendor before making a decision.