LLM GPU requirements and deployment guides

Find GPUs for the models you want to run. Compare memory requirements, explore deployment options and plan inference or fine-tuning on Fluence GPU Cloud.

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Browse LLM GPU requirements

Explore model capabilities, hardware requirements and serving options. Open a guide to compare configurations and plan your deployment.

Model family

Capabilities

Model size

Architecture

5 model guides

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Model

Architecture

Capabilities

GPU guide

Qwen3.6-Flash-Next

Qwen/Qwen3.6-Flash-Next

Multimodal MoE

Coding, tool use and visual understanding

View GPU guide

Qwen3.6-Flash-Next

Qwen/Qwen3.6-Flash-Next

Architecture

Multimodal MoE

Capabilities

Coding, tool use and visual understanding

View GPU guide

Qwen3.6-27B

Qwen/Qwen3.6-27B

Dense vision-language

Coding, reasoning and visual understanding

View GPU guide

Qwen3.6-27B

Qwen/Qwen3.6-27B

Architecture

Dense vision-language

Capabilities

Coding, reasoning and visual understanding

View GPU guide

Llama 3.3 70B Instruct

meta-llama/Llama-3.3-70B-Instruct

Dense

Multilingual dialogue and text generation

View GPU guide

Llama 3.3 70B Instruct

meta-llama/Llama-3.3-70B-Instruct

Architecture

Dense

Capabilities

Multilingual dialogue and text generation

View GPU guide

Gemma 3 27B IT

google/gemma-3-27b-it

Multimodal dense

Text generation and image understanding

View GPU guide

Gemma 3 27B IT

google/gemma-3-27b-it

Architecture

Multimodal dense

Capabilities

Text generation and image understanding

View GPU guide

gpt-oss-20b

openai/gpt-oss-20b

MoE

Reasoning and tool use

View GPU guide

gpt-oss-20b

openai/gpt-oss-20b

Architecture

MoE

Capabilities

Reasoning and tool use

View GPU guide

Match the GPU to your workload

The same model can need different hardware for serving and training. Choose your workload, then account for precision, context length and expected demand.

Inference

Size your deployment for model weights, request memory and concurrent users. Check latency and throughput against the traffic your application expects.

Explore AI inference

Fine-tuning

Choose an adaptation method and training recipe. Sequence length, batch size, optimizer settings and adapter configuration all affect the capacity you need.

Explore fine-tuning

Training

Define your architecture and training plan. Budget for the full job, including optimizer state, activations, parallelism and dataset processing time.

Explore AI training

Match the GPU to your workload

The same model can need different hardware for serving and training. Choose your workload, then account for precision, context length and expected demand.

Inference

Size your deployment for model weights, request memory and concurrent users. Check latency and throughput against the traffic your application expects.

Explore AI inference

Fine-tuning

Choose an adaptation method and training recipe. Sequence length, batch size, optimizer settings and adapter configuration all affect the capacity you need.

Explore fine-tuning

Training

Define your architecture and training plan. Budget for the full job, including optimizer state, activations, parallelism and dataset processing time.

Explore AI training

Plan memory and compute costs

Refine your deployment before you rent a GPU. Estimate memory requirements, then build a compute budget around your selected configuration and workload.

Calculate VRAM

Adjust the model, precision and workload settings to estimate memory needs. Account for context length and batch size when planning your configuration.

Calculate VRAM

Estimate workload costs

Explore inference, fine-tuning and training costs using the available workload profiles. Review the rental rate, performance assumptions and resources included in each estimate.

Estimate workload cost

Plan memory and compute costs

Refine your deployment before you rent a GPU. Estimate memory requirements, then build a compute budget around your selected configuration and workload.

Calculate VRAM

Adjust the model, precision and workload settings to estimate memory needs. Account for context length and batch size when planning your configuration.

Calculate VRAM

Estimate workload costs

Explore inference, fine-tuning and training costs using the available workload profiles. Review the rental rate, performance assumptions and resources included in each estimate.

Estimate workload cost

Why run your model on Fluence Cloud

Flexible GPU choice

Compare configurations and select model capacity. Verify memory, GPU count, and connectivity before provisioning multi-GPU workloads.

Clear compute pricing

Review full configuration pricing before launch, budgeting for expected runtime and any extra resources.

Choose providers and locations

Select capacity based on hardware, location, availability and price.

Your serving stack

Configure model, runtime, and access yourself. Test requests, monitor performance, and adjust capacity as workloads change.

Why run your model on Fluence Cloud

Flexible GPU choice

Compare configurations and select model capacity. Verify memory, GPU count, and connectivity before provisioning multi-GPU workloads.

Clear compute pricing

Review full configuration pricing before launch, budgeting for expected runtime and any extra resources.

Choose providers and locations

Select capacity based on hardware, location, availability and price.

Your serving stack

Configure model, runtime, and access yourself. Test requests, monitor performance, and adjust capacity as workloads change.

Top-tier data centers with enterprise-grade hardware

Our high-performance servers are deployed across highly available Tier III and Tier IV facilities, providing GDPR-compliant infrastructure that satisfies SOC 2 and ISO 27001 standards.

Top-tier data centers with enterprise-grade hardware

Our high-performance servers are deployed across highly available Tier III and Tier IV facilities, providing GDPR-compliant infrastructure that satisfies SOC 2 and ISO 27001 standards.

FAQ

Does Fluence run the model for me?

How much VRAM does an LLM need?

Does enough VRAM guarantee good performance?

Can I run a model across multiple GPUs?

Can I use these guides for fine-tuning?

FAQ

Does Fluence run the model for me?

How much VRAM does an LLM need?

Does enough VRAM guarantee good performance?

Can I run a model across multiple GPUs?

Can I use these guides for fine-tuning?

Find compute for your next model

Explore a model guide, compare its requirements and choose GPU capacity for your workload. Need a different setup? Share your requirements with the Fluence team.

Find a model

Browse GPU availability

Find compute for your next model

Explore a model guide, compare its requirements and choose GPU capacity for your workload. Need a different setup? Share your requirements with the Fluence team.

Find a model

Browse GPU availability