Tipos y modelos de GPU

GeForce RTX 3050 8 GB - mid-range graphics card for 1440p gaming, creative rendering and AI-assisted workflows.

GeForce RTX 3060 12 GB - mid-range graphics card for 1440p gaming, creative rendering and AI-assisted workflows.

NVIDIA Tesla V100 16 GB Volta - legacy datacenter accelerator still popular for CUDA development, scientific compute and AI research.

GeForce RTX 3080 Ti 12 GB - enthusiast graphics card for 4K gaming, creative rendering and entry-level AI experimentation.

GeForce RTX 3060 Ti 8 GB - mid-range graphics card for 1440p gaming, creative rendering and AI-assisted workflows.

GeForce RTX 4070 12 GB Ada - efficient GPU for 1440p gaming, DLSS 3 frame generation and lightweight AI projects.

GeForce RTX 3090 24 GB - powerhouse card for gaming, 3D rendering and AI research on a budget.

GeForce RTX 4070 Ti Super 16 GB

NVIDIA RTX A2000 12 GB - compact Ampere professional GPU for CAD, VR development and AI-assisted workflows.

GeForce RTX 5060 8 GB Blackwell - rumoured mid-range card targeting efficient 1440p gaming and entry AI workloads.

GeForce RTX 5080 16 GB Blackwell - anticipated high-end successor delivering faster ray-tracing and AI inference.

GeForce RTX 4060 8 GB - efficient GPU for 1440p gaming, DLSS 3 frame generation and lightweight AI projects.

Leaked GeForce RTX 5070 Ti 16 GB - projected sweet-spot Blackwell GPU for creators, gamers and small-scale machine-learning.

GeForce RTX 3070 8 GB - mid-range graphics card for 1440p gaming, creative rendering and AI-assisted workflows.

GeForce RTX 4070 Ti 12 GB - higher-clocked Ada GPU ideal for 4K esports, Blender rendering and local generative-AI tasks.

GeForce GTX 1070 8 GB - mid-range graphics card for 1440p gaming, creative rendering and AI-assisted workflows.

NVIDIA RTX A4000 16 GB - compact professional GPU for CAD, VR development and AI-assisted workflows.

GeForce RTX 3080 10 GB - high-end graphics card for 4K gaming, creative rendering and AI-assisted workflows.

GeForce RTX 5060 Ti 16 GB Blackwell - rumoured mid-range card targeting efficient 1440p gaming and entry AI workloads.

GeForce RTX 4060 Ti 8 GB - efficient GPU for 1440p gaming, DLSS 3 frame generation and lightweight AI projects.

NVIDIA T4 16 GB Tensor Core GPU (Turing) widely used for cost-efficient AI inference, video transcoding and lightweight training workloads.

NVIDIA RTX A4500 20 GB - Ampere-based workstation card for real-time ray-tracing, simulation and AI inference.

GeForce MX550 2 GB - entry-level graphics card for lightweight AI inference and basic content creation.

GeForce RTX 2080 Ti 11 GB - high-end graphics card for 4K gaming, creative rendering and AI-assisted workflows.

NVIDIA RTX 4000 Ada 20 GB - single-slot Ada Lovelace GPU optimised for compact workstations, AI inferencing and real-time graphics.

GeForce RTX 5090 32 GB Blackwell flagship - tipped to exceed RTX 4090 in gaming, rendering and generative-AI.

NVIDIA RTX A5000 24 GB - versatile pro GPU for large-scene rendering, VR and deep-learning acceleration.

NVIDIA RTX 2000 Ada Generation 16 GB - compact professional GPU for CAD, VR development and AI-assisted workflows.

GeForce GTX 1050 Ti 4 GB - entry-level graphics card for lightweight AI inference and basic content creation.

GeForce RTX 4080 Super 16 GB - refreshed Ada model with more cores for creators and deep-learning hobbyists.

GeForce RTX 4070 Super 12 GB - refreshed Ada model with more cores for creators and deep-learning hobbyists.

NVIDIA A2 Tensor Core GPU - Entry-level GPU that brings NVIDIA AI to any server.

GeForce RTX 2070 Super 8 GB - refreshed Turing model with more cores for creators and deep-learning hobbyists.

Rumoured GeForce RTX 5070 12 GB Blackwell - expected mid-range card targeting efficient 1440p gaming and entry AI workloads.

NVIDIA A30 24 GB Ampere GPU designed for mainstream enterprise AI inference and mixed workloads.

NVIDIA A40 48 GB workstation GPU balancing real-time ray-tracing, AI acceleration and professional graphics rendering.

GeForce RTX 4090 24 GB - ultimate consumer GPU for 8K gaming, neural rendering and AI model training.

GeForce RTX 3090 Ti 24 GB - high-end graphics card for gaming, creative rendering and AI-assisted workflows.

NVIDIA A16 16 GB multi-instance GPU tailored for virtual desktops, AI inference and mixed graphics workloads in the cloud.

NVIDIA RTX A6000 48 GB - flagship Ampere workstation GPU powering complex VFX, digital twins and AI pipelines.

NVIDIA RTX PRO 6000 96 GB - universal AI and visual computing performance for the data center.

NVIDIA RTX 6000 24 GB

The NVIDIA L4 Tensor Core GPU powered by the NVIDIA Ada Lovelace architecture delivers universal, energy-efficient acceleration for video, AI, visual computing, graphics, virtualization, and more.

NVIDIA A100 40 GB offers affordable access to Ampere Tensor Cores for research AI training, inference and scientific computing.

NVIDIA RTX 6000 Ada 48 GB - top-tier Ada workstation card delivering 91 TFLOPS for advanced visualization and AI training.

NVIDIA L40S 48 GB Ada GPU, tuned for faster generative-AI inference and graphics workloads in datacenter environments.

NVIDIA A10 24 GB.

NVIDIA RTX 5000 Ada 32 GB - single-slot Ada Lovelace GPU optimised for compact workstations, AI inferencing and real-time graphics.

NVIDIA L40 48 GB Ada Lovelace GPU delivering advanced ray-tracing and AI performance for enterprise visualization and generative content.

NVIDIA Quadro RTX 8000 48 GB - ultimate AI and visual computing performance for the data center.

GPU offering from Vast.ai: RTX PRO 6000 S

Intel Gaudi 2 AI accelerator - High performance acceleration for GenAI and LLMs.

NVIDIA A100 80 GB Tensor Core GPU - the proven workhorse for deep-learning training, data analytics and accelerated HPC.

NVIDIA A100 80 GB SXM4 with NVLink enabling multi-GPU scaling for large-batch model training and analytics.

NVIDIA A100 NVL dual-GPU assembly (160 GB aggregate) engineered for high-throughput GPT inference and enterprise AI deployment.

AMD Instinct MI300X 192 GB HBM3 - CDNA 3 accelerator targeting large-language-model training and high-performance computing.

Flagship NVIDIA H100 Tensor Core GPU with 80 GB HBM3 for exascale HPC, large-language-model training and low-latency AI inference.

NVIDIA GH200 96 GB - high-performance GPU for large-scale AI training and scientific computing.

NVIDIA H100 NVL dual-GPU solution offering 2x94 GB HBM3 for ultra-large LLM inference and memory-bound AI workloads.

AMD Instinct™ MI325X accelerators are designed to deliver leadership performance for Generative AI workloads and HPC applications.

NVIDIA H200 Tensor Core GPU with 141 GB HBM3e, optimized for generative AI, transformer models and data-intensive HPC simulations.

NVIDIA Tesla V100 SXM2 32GB - legacy datacenter accelerator still popular for CUDA development, scientific compute and AI research.

Built on the 4th Gen AMD CDNA™ architecture, AMD Instinct™ MI355X GPUs deliver leadership AI and HPC performance.

NVIDIA H200 SXM module providing 141 GB HBM3e and NVLink for high-density AI compute in HGX platforms.

Next-generation NVIDIA Blackwell B200 with 180 GB HBM3e delivers breakthrough performance for frontier AI training and scientific computing.

NVIDIA GB300 SXM6 288GB GPU from Verda

Next-generation NVIDIA Blackwell B300 with 288 GB HBM3e delivers breakthrough performance for AI training and scientific computing.