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

Llama 3.3 70B on a dedicated GPU for your team

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

Inputs

Chat prompts, private knowledge, agent instructions, enterprise workflows

Outputs

General-purpose assistant responses inside dedicated inference stacks

Llama 3.3 70B sample output

Why teams deploy Llama 3.3 70B

Teams choose a dedicated GPU for Llama 3.3 70B when they need full control over sensitive prompts, proprietary assets, or custom runtime configurations that shared endpoints can't provide.

private enterprise chat
large-model open deployment
internal assistants

Deployment details

Modality
LLM
Deployment
Dedicated large-model runtime on enterprise GPU servers
Starting at
$1999/month

Supported capabilities

Chat completions
Private context handling
Code access
Dedicated infrastructure

Common use cases

enterprise assistants
agent backends
private knowledge chat

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 Llama 3.3 70B 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 3.1 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
Qwen 2.5 72B sample output
LLMDedicated GPU

Qwen 2.5 72B

Qwen 2.5 72B is a high-intent dedicated deployment target for teams that need stronger open-model performance with private enterprise hosting.

ChatPrivate context handling

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