Application Catalog

The Application Catalog is a curated library of pre-built open-source AI models available in Gcore Everywhere Inference. Models deploy directly without building or configuring a custom container image.

The catalog groups models into the following categories:

Category	Description
Text LLM	Large language models for text generation, summarization, and reasoning
Text + Image LLM	Multimodal models that accept both text and image inputs
Text + Audio LLM	Multimodal models that accept both text and audio inputs
Text embedding	Models that convert text into vector representations for semantic search and retrieval
Embedding	Multimodal embedding models
Image generation	Models that generate images from text prompts
Video Super-Resolution	Models that upscale and enhance video quality
Speech recognition	Models that transcribe spoken audio to text
Text to speech	Models that convert text to spoken audio
Safety model	Models that classify content for safety and policy compliance

Browse the catalog

1. In the Gcore Customer Portal, navigate to Everywhere Inference > Application Catalog.

The catalog page shows all available models grouped by category. Each model card displays the model name, category, and provider.

2. To filter models by category, click the corresponding category button above the model list.

3. To find a specific model, type its name in the Type to search field.

4. Click any model card to open its detail page. It shows the model name, provider, category, description, and application modules with license links.

Deploy a model

Request a quota increase if the account quota is insufficient for the selected flavor.

1. Open the model detail page and click Deploy Application.

The Create Deployment form opens with the selected application pre-filled.

2. Under Routing placement, click Select region and select up to six regions where the model will run.

3. Under Application modules, configure the compute resources:

• Flavor type — select CPU-optimized or GPU-optimized depending on the model requirements.
• Flavor — select the hardware configuration from the dropdown.
• Minimum pods — the minimum number of pods to keep running during low-traffic periods.
• Maximum pods — the maximum number of pods Gcore provisions during peak traffic.

The main application module cannot be removed. The Expose toggle controls whether its endpoint is publicly accessible.

4. Under Deployment details, enter a name for the deployment.

5. (Optional) Under Additional options, enable the Enable API Key authentication toggle to restrict access to the deployment using API keys.

6. Review the estimated cost in the right panel, then click Deploy model.

Gcore creates the deployment and opens the Deployments page, where the deployment status is visible.

Available models

Text LLM (21 models)

Model	Provider
meta-llama/Llama-3.2-1B-Instruct	Meta
MiniMaxAI/MiniMax-M2.1	MiniMaxAI
MiniMaxAI/MiniMax-M2.5	MiniMaxAI
mistralai/Devstral-2-123B-Instruct-2512	Mistral AI
mistralai/Devstral-Small-2505	Mistral
mistralai/Ministral-3-14B-Reasoning-2512	Mistral AI
openai/gpt-oss-120b	OpenAI
openai/gpt-oss-20b	OpenAI
Qwen/Qwen3-14B	Qwen
Qwen/Qwen3-235B-A22B-Instruct-2507	Qwen
Qwen/Qwen3-30B-A3B	Qwen
Qwen/Qwen3-30B-A3B-Instruct-2507	Qwen
Qwen/Qwen3-30B-A3B-Thinking-2507	Qwen
Qwen/Qwen3-32B	Qwen
Qwen/Qwen3-Coder-30B-A3B-Instruct	Qwen
Qwen/Qwen3.5-122B-A10B	Qwen
Qwen/Qwen3.5-35B-A3B	Qwen
Qwen/Qwen3.5-397B-A17B-FP8	Qwen
xai-org/grok-2	xAI
zai-org/GLM-4.7	Z.ai
zai-org/GLM-4.7-Flash	Z.ai

Text + Image LLM (3 models)

Model	Provider
google/gemma-3-27b-it	Google
Qwen/QVQ-72B-Preview	Qwen
Qwen/Qwen3-VL-235B-A22B-Instruct	Qwen

Text + Audio LLM (1 model)

Model	Provider
mistralai/Voxtral-Small-24B-2507	Mistral

Text embedding (5 models)

Model	Provider
Alibaba-NLP/gte-Qwen2-7B-instruct	Alibaba
BAAI/bge-m3	BAAI
intfloat/e5-mistral-7b-instruct	Intfloat
Qwen/Qwen3-Embedding-4B	Qwen
Qwen/Qwen3-Embedding-8B	Qwen

Embedding (2 models)

Model	Provider
nvidia/nemotron-colembed-vl-8b-v2	NVIDIA
vidore/colpali-v1.3	Vidore

Image generation (7 models)

Model	Provider
ByteDance/SDXL-Lightning	ByteDance
FLUX.1-dev	Black Forest Labs
FLUX.1-schnell	Black Forest Labs
stable-cascade	Stability AI
stable-diffusion-3.5-large	Stability AI
stable-diffusion-3.5-large-turbo	Stability AI
stable-diffusion-xl	Stability AI

Speech recognition (4 models)

Model	Provider
facebook/seamless-m4t-v2-large	Meta
mistralai/Voxtral-Mini-4B-Realtime-2602	Mistral AI
openai/whisper-large-v3	OpenAI
openai/whisper-large-v3-turbo	OpenAI

Text to speech (3 models)

Model	Provider
microsoft/VibeVoice-1.5B	Microsoft
microsoft/VibeVoice-7B	Microsoft
ResembleAI/chatterbox	ResembleAI

Video Super-Resolution (1 model)

Model	Provider
ByteDance-Seed/SeedVR2-7B	ByteDance

Safety model (3 models)

Model	Provider
openai/gpt-oss-safeguard-120b	OpenAI
openai/gpt-oss-safeguard-20b	OpenAI
Qwen/Qwen3Guard-Gen-8B	Qwen