GPU types & models

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

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

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

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

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

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

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

NVIDIA RTX A4000 16 GB - compact professional GPU for CAD, VR development 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.

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

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

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

GeForce RTX 4080 16 GB - high-end Ada Lovelace GPU delivering excellent 4K ray-tracing performance and generative-AI acceleration.

NVIDIA RTX 6000 24 GB

Experience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition.

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

GPU offering from Vast.ai: RTX PRO 6000 S

NVIDIA A10 24 GB.

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

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

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.

Universal AI and Visual Computing Performance for the Data Center

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.

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

The NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created, redefining performance and capability for professionals.

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

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

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.

Dual-board NVIDIA H200 NVL (2x141 GB) accelerator designed for trillion-parameter model inference and massive memory bandwidth.

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

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

NVIDIA H100 80 GB SXM module featuring NVLink for multi-GPU scalability in dense AI servers and HPC clusters.

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

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

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

NVIDIA GB300 SXM6 288GB GPU from Verda