Seedance 2.0 is here - create consistent, multimodal AI videos faster with images, videos, and audio in one prompt.

Try Now
Skip to main content
LLM

Mixtral 8x7B on a dedicated GPU for your team

Mixtral 8x7B remains one of the most recognizable open MoE models for teams comparing dedicated open LLM hosting options.

Inputs

Chat prompts, internal context, private enterprise instructions

Outputs

MoE-based assistant responses from dedicated infrastructure

Mixtral 8x7B sample output

Why teams deploy Mixtral 8x7B

Teams choose a dedicated GPU for Mixtral 8x7B when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.

MoE experimentation
private open LLM hosting
enterprise chat backends

Deployment details

Modality
LLM
Deployment
Dedicated MoE LLM runtime on enterprise GPU
Starting at
$1999/month

Supported capabilities

Chat
Dedicated private inference
Runtime control
Enterprise deployment

Common use cases

assistant APIs
internal chat tools
private LLM benchmarking

What you get with Enterprise

Dedicated GPU deployment with no shared queue contention
100% private workloads, prompts, and generated outputs
Code access for custom runtimes, adapters, and optimization
Bring-your-own S3 storage for assets, checkpoints, and outputs
Enterprise Deployment

Get a dedicated GPU for this model

Get Mixtral 8x7B running on a GPU dedicated to your team — with private data flow, full code access, and S3-backed storage for production workloads.

Full privacy for prompts, inputs, and outputs
Code access for custom runtimes and adapters
Your own S3 for checkpoints and generated assets
Dedicated GPU — no shared queue or throttling

Starting at

$1999/month

Scale to higher GPU tiers when you need more VRAM, throughput, or concurrency.

Related models

Explore similar models in the same category for your deployment needs.

DeepSeek R1 sample output
LLMDedicated GPU

DeepSeek R1

DeepSeek R1 is one of the clearest enterprise deployment wins in the open LLM landscape because teams want its reasoning ability without exposing prompts or internal context to third-party shared providers.

Chat completionsPrivate prompt handling
DeepSeek V3 sample output
LLMDedicated GPU

DeepSeek V3

DeepSeek V3 is a strong dedicated enterprise target when teams want a cost-aware open LLM stack for private production inference.

Chat completionsPrivate prompt flow
DeepSeek Coder V2 sample output
LLMDedicated GPU

DeepSeek Coder V2

DeepSeek Coder V2 is a natural fit for private engineering copilots where source code and developer prompts should stay inside dedicated infrastructure.

Coding chatPrivate code context
Llama 3.3 70B sample output
LLMDedicated GPU

Llama 3.3 70B

Llama 3.3 70B remains a high-intent enterprise model page because teams actively compare private open-weight Llama deployments against shared hosted APIs.

Chat completionsPrivate context handling
Llama 3.1 8B sample output
LLMDedicated GPU

Llama 3.1 8B

Llama 3.1 8B is attractive for teams that want a smaller dedicated LLM footprint while keeping prompts, retrieval context, and code-level runtime changes private.

ChatPrivate inference
Qwen 3 32B sample output
LLMDedicated GPU

Qwen 3 32B

Qwen 3 32B is a strong open LLM candidate for private multilingual and reasoning workloads that need enterprise-grade control instead of shared hosted endpoints.

Chat completionsPrivate prompt flow

Get Expert Support in Seconds

We're Here to Help.

Want to know more? You can email us anytime at support@modelslab.com

View Docs