GeForce RTX 50 Series Graphics Cards AI for Creation

Shape Your AI with MSI

  • AI for Creation
  • AI for On-Device Intelligence
  • AI for Gaming

Build an AI Powerhouse with MSI GeForce RTX 50 Series

Experience the future of intelligent computing with MSI's GeForce RTX 50 Series GPUs, featuring NVIDIA's revolutionary Blackwell Architecture. They enable powerful local AI deployments to deliver unmatched precision, speed, and data privacy.

Guru3D

“The card’s overall construction reflects MSI’s focus on reliability rather than aesthetics alone, resulting in a product that is engineered for continuous operation under demanding conditions”

Guru3D

“As a piece of hardware and design, the Vanguard is a well executed product, it runs cool, is silent and looks nice, I'd prefer it even over the founder edition card”

TechPowerUp

"MSI is up to the challenge with its SUPRIM line of graphics cards that don't just look like pieces of jewellery, but are also designed to be the fastest custom design graphics cards out of the box."

TechPowerUp

“MSI's card on the other hand runs whisper-quiet out of the box! With just 28 dBA under full load it is the quietest RTX 5090 that we've tested today—very impressive work!”

PCMag Readers’ Choice 2025

"MSI proves that it’s the graphics card brand that gamers—or anyone who wants top-notch PC visuals—should buy. It rates the best for satisfaction, cost, reliability, and graphics performance."

Hardware Premium

“This gaming beast not only represents MSI's most premium range. It also raises the  base specifications of NVIDIA to a new level with its impressive Hyper Frozr cooling system”

AI for Creation

AI-Enhanced Video & Image Editing

AI-Enhanced Video & Image Editing

Eliminate repetitive tasks and supercharge your workflow with AI acceleration in over 500 apps to transform your workflow with AI upscaling, denoising, and generative fills. Preview edits in real-time, even with high-res footage, so you spend more time creating and less time waiting.

Harness Generative AI

Harness Generative AI

Unleash the power of the most advanced Generative AI models to automate and supercharge tasks like scene composition, lighting, and even asset generation – allowing you to iterate, experiment, and realize your creative vision faster than ever.

AI-Accelerated 3D Rendering

AI-Accelerated 3D Rendering

Reduce long render queues and VRAM bottlenecks with advanced AI denoising, smart memory management, and neural rendering. MSI's GeForce RTX 50 Series Graphics Cards unlock a new tier of performance in professional CG workloads with complex scenes.

AI for On-Device Intelligence

Large Language Model Training and Inference

LLM Training and Inference

Harness the power of NVIDIA's Blackwell Architecture, optimized specifically for AI performance with advanced tensor cores for ML workloads, larger VRAM buffer, and more. With significantly improved AI TOPS, MSI GeForce RTX 50 Series GPUs deliver industry-leading performance, enabling seamless training and running larger LLMs and multimodal models with ease.

Chat, Create, and Command with Generative AI

Limitless Creation with Gen AI

Run advanced AI models like Stable Diffusion, DeepSeek, Llama, and more, on your own hardware to access the full power of Generative AI at your desk. MSI's GeForce RTX 50 Series come equipped with the AI processing power and VRAM you need to host cutting-edge chatbots, generate stunning images and videos, and do so much more in the blink of an eye.

Unmatched Data Privacy and Security

Unmatched Data Privacy and Security

Keep your sensitive data, documents, and results secure by running AI workloads entirely on your own hardware. Use self-hosted AI models to ensure that your data never leaves your system – giving you full control, security, and privacy for confidential projects.

AI for Gaming

DLSS 4 Multi-Frame Generation

DLSS 4 Multi-Frame Generation

Enjoy ultra-smooth gameplay at high resolutions without compromising on graphics or turning down ray tracing. DLSS 4 uses 5th Generation Tensor cores in the GeForce RTX 50 Series to generate more frames to minimize stutter and lag and deliver a fluid gaming experience – so you can stay focused on the action.

AI-Enhanced Ray Tracing

AI-Enhanced Ray Tracing

Experience unmatched realism and fluidity in next-gen games with Ray Tracing, thanks to Ray Reconstruction. Powered by a brand-new AI model that recreates higher quality ray-traced images, it is designed to unlock much higher frame rates without sacrificing quality.

AI-Enhanced Livestreaming

AI-Enhanced Livestreaming

Elevate your livestreams with AI-driven features within NVIDIA Broadcast, like Studio Voice, Virtual Key Light, Virtual Backgrounds, and so much more on GeForce RTX 50 Series Graphics Cards – instantly transforming your space into a professional studio.

Recommended Hardware Requirements for Local AI Deployments

GPU GeForce RTX 5090 GeForce RTX 5080 GeForce RTX 5070 Ti GeForce RTX 5070
AI TOPS ~1,200 TOPS ~800 TOPS ~600 TOPS ~450 TOPS
Recommended Use-Case Flagship Performance for the largest AI models at high precision High-performance inference for large models Mid-high level deployments for smaller models Lightweight local deployments
Gaming 4K DLSS + Full RT 4K DLSS + RT 1440p DLSS + RT 1440p-1080p DLSS + RT
Content and Production Complex 3D Modeling /
4K/8K Video Editing /
Complex 3D Rendering		 3D Modeling / 4K Video Editing /
3D Rendering / Broadcasting and Streaming		 Pro Streaming /
Heavy Video Editing /
Rendering		 Video Editing /
Casual Streaming /
Light Rendering
AI Development and Training < 70B @ FP16 / FP32 < 40B Models @ INT8 < 34B Models @ INT4 / INT8 < 13B Models @ INT8

VRAM Requirements for LLMs

The GeForce RTX 50 Series gives you access to a range of GPUs for diverse local AI deployments across home offices, organizations, educational institutions, and more!

Use Case VRAM Needed Recommended Models
(Parameters)		 Recommended
Precision / Format
Educational Projects and Personal Use > 8GB Small LLMs
(<13B parameters)		 INT4
Professional Use and Individual Developers 8GB – 16GB Medium LLMs/LMMs
(13B-34B)		 INT8
Studios and Creative Outlets 16GB – 32GB Multimodal Models
(34B-70B)		 INT8 / FP16
Enterprise & Research Labs > 64 GB Large-scale Models
(>70B)		 FP32 / FP16

The MSI Advantage: Engineered for Robust Local AI

Sustained Peak AI Performance

MSI's innovative thermal solutions — including the latest Hyper Frozr thermal design with cutting-edge STORMFORCE Fans, an Advanced Vapor Chamber, and a plethora of heatsink innovations — unlock peak performance even when running complex local AI workloads. They also enable unmatched stability when pushing your hardware to the limit with these demanding tasks.

Cutting-Edge GeForce RTX 50 Series GPUs

Leverage NVIDIA's latest Blackwell Architecture with its 5th Generation Tensor Cores in MSI's GeForce RTX 50 Series Graphics Cards, unlocking superior AI inferencing and training performance. They are designed to deliver an incredible experience for efficient local and edge deployments of the most complex AI models.

Tailored Solutions for Every Scenario

Whether you're building a compact workstation with a Mini-ITX motherboard or a large AI powerhouse with plenty of extensibility, MSI's GeForce RTX 50 Series lineup features a broad range of options for your every need.

Future-Proof and Upgradable

MSI's innovative thermal solutions — including the latest Hyper Frozr thermal design with cutting-edge STORMFORCE Fans, an Advanced Vapor Chamber, and a plethora of heatsink innovations — unlock peak performance even when running complex local AI workloads. They also enable unmatched stability when pushing your hardware to the limit with these demanding tasks.

Performance

Oh Chip—That's Fast

The AI processors in every GeForce RTX GPU deliver chart-busting levels of performance across the most demanding games, apps, and workflows.

Content Creation
Immersive Gaming
Accelerated Development
Enhanced Productivity
GeForce RTX 5090
Apple Mac Studio M2 Ultra
3D Design

8X

Video Editing

3.8X

Generative AI

2.6X

50 min

100 min

150 min

200 min

250 min

Shorter wait times are better.

Performance testing conducted by NVIDIA in December 2024 with desktops equipped with Intel Core i9-14900K and 64GB RAM. NVIDIA Driver 571.24, Windows 11. Time scaled to 10 minutes for comparison purposes. Maya with Arnold 2025 (7.3.0) renderer performance measures render time of the NVIDIA SOL 3D model. DaVinci Resolve PugetBench’s GPU Score measures various GPU-accelerated affects, including Magic Mask, Depth Map, Speed Warp, and others. Flux.dev measures the time to generate an image with FP4 on GeForce RTX 50 Series, FP16 on 40 Series. M2 Ultra is measured running Flux.dev on Draw Things. 30 steps, 1024x1024 resolution.

DLSS On
DLSS Off
Cyberpunk 2077 (RT: Overdrive Tech Preview)

4X

Marvel's Spider-Man: Miles Morales

2.1X

Portal With RTX

5.6X

Warhammer 40,000: Darktide

2X

1X

2X

3X

4X

5X

6X

Relative Performance (FPS)

3840x2160 Resolution, Highest Game Settings, DLSS Super Resolution Performance Mode, DLSS Frame Generation on GeForce RTX 4090, i9-12900K, 32GB RAM, Win 11 x64.

GeForce RTX 4090
Apple M2 Ultra
Model Training and Fine-Tuning

359.6

Code Assistant

106.8

100

200

300

400

Relative Performance (tokens per second)

Model Training/Fine Tuning of BERT-Base-Cased, GeForce RTX 4090 using mixed precision | Code assist is Code llama 13B Int4 inference performance INSEQ=100, OUTSEQ=100 batch size 1

With TensorRT-LLM
Without TensorRT-LLM
Batch size = 8

829

216

Batch size = 4

677

166

Batch size = 1

188

137

200

400

600

800

1000

Relative Performance (tokens per second)

Model Training/Fine Tuning of BERT-Base-Cased, GeForce RTX 4090 using mixed precision | Code assist is Code llama 13B Int4 inference performance INSEQ=100, OUTSEQ=100 batch size 1

Powerful, Secure Local and Advanced AI Deployments
with the MSI AI Ecosystem

MSI RTX for AI

MSI GeForce RTX for AI

Integrate AI into your workflow and boost productivity like never before. With MSI's latest GeForce RTX 50 Series GPUs featuring NVIDIA Blackwell, you can enjoy unmatched local AI experiences—on your own PC.

Learn more
MSI Storage for AI

MSI Storage for AI

Larger AI models and even modern games supporting DirectStorage require faster storage for a smooth experience. MSI's range of SPATIUM M.2 SSDs deliver top-notch write/read speeds to handle the storage demands of the AI era.

Learn more about MSI Storage
MSI Networking for AI

MSI Networking for AI

Adopt smarter, more secure networking with AI-powered QoS for unmatched reliability at breakneck speeds with MSI's range of networking devices. Upgrade to lower latencies, higher speeds, and commercial-grade security features to handle the demands of setting up local AI workflows.

Learn more about MSI Networking

FAQ Section

Expand all | Collapse all
Q: What are the most important hardware factors for running LLMs locally?
A: Your GPU's VRAM and AI computing capabilities are the most important factors for local AI performance, followed by system RAM and a modern CPU. Sufficient VRAM determines the maximum model size you can run efficiently on your PC.
Q: Which GPUs are best for running complex local AI models (like LLaMA, GPT, Mistral,etc.) and handling Advanced AI workloads?
A: The GeForce RTX 5090 with 32GB of VRAM is one of the best GPUs on shelves today for running AI models and handling other advanced AI workloads, thanks to their next-gen Tensor Cores. If you're looking for the best value option, opt for a GeForce RTX 5070 Ti instead. [More detailed overview here]
Q: How do Tensor Cores improve AI performance on GeForce RTX GPUs?
A: Tensor Cores accelerate AI workloads by performing matrix multiplications using mixed-precision arithmetic (like FP16 or FP8) to supercharge performance without sacrificing too much accuracy. These specialized hardware units execute these operations up to 30x faster than traditional GPU cores.
Q: How much VRAM is required for different sizes of AI models? +
A: Although this varies according to the precision used and differs model-to-model, 7B models typically need 8GB+, 13B models need 16GB+, and 30B models require 24–30GB VRAM. Larger models may need even more. [More details here]
Q: Is NVIDIA or Radeon better for running AI workloads? +
A: NVIDIA is generally better for AI workloads thanks to its broad support, optimized libraries, richer software ecosystem, and much more powerful GPUs with large VRAM capacities.
Q: How stressful is running AI workloads or hosting local AI on my hardware and will it damage components? +
A: Running LLMs is similar in stress to gaming or rendering and won't damage hardware if cooling is adequate. Occasional heavy loads are perfectly safe for modern components as long as the cooling solution can handle heat effectively.
Q: What are the minimum PC specifications needed for running LLMs locally? +
A: At least 8–16GB VRAM, 32GB RAM, and a modern 6-core CPU are recommended. More RAM and VRAM will allow for larger, more complex models, while enabling better multitasking.
Q: Is it better to use multiple lower-end GPUs or a single high-end GPU? +
A: A single high-end GPU is simpler and offers much better compatibility with a broad range of applications. That said, multi-GPU setups can be more cost-effective, but you should be 100% sure that your workload's performance scales well with multiple GPUs before going this route.
Q: How important is the CPU compared to GPU for AI performance? +
A: The GPU is far more relevant for inference speed and AI processing in games, creative apps, etc. The CPU only comes into play if you're running models larger than your VRAM or using CPU-specific features in some apps.
Q: What performance boost does DLSS get from GeForce RTX GPUs? +
A: DLSS on GeForce RTX GPUs can boost gaming performance by up to 2-4x by upscaling lower-resolution images and rendering brand-new frames using AI – delivering higher frame rates and better image quality.
Q: How do GeForce RTX GPUs compare to Apple's M-series chips for Local AI processing tasks? +
A: GeForce RTX GPUs lead in raw AI performance, scalability, and ecosystem support, making them the preferred option for advanced local AI tasks. Apple's M-series chips, while efficient and well-integrated for Mac workflows, are best suited for lighter or platform-specific AI applications.