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Would a 2nd hand custom built 2080 Ti 22GB vram be worth it? How usable would it be with ComfyUI? Or maybe even 2 pcs with NVLink? Can large models, like Wan2.2 be split with NVLink like it's 44GB, or will it always be 22GB for 1 model, and 22GB for another model (encoders, CLIP, anything else)?

This Reddit post discusses the viability of using second-hand custom-built RTX 2080 Ti GPUs with 22GB VRAM for running Stable Diffusion models in ComfyUI, including whether two cards could be linked v

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4 May 2026

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StateSMix: Online Lossless Compression via Mamba State Space Models and Sparse N-gram Context Mixing

Action Agent: Agentic Video Generation Meets Flow-Constrained Diffusion

Adaptation of AI-accelerated CFD Simulations to the IPU platform

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BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton

Barren Plateaus as Destructive Interference: A Diagnostic Framework and Implications for Structured Ansatzes

Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration

Cloud Engineer’s AI Toolkit: Sign up Now for a Developer Workshop Near You!

CoFrGeNet: Continued Fraction Architectures for Language Generation

CoRAL: Contact-Rich Adaptive LLM-based Control for Robotic Manipulation

CycleRL: Sim-to-Real Deep Reinforcement Learning for Robust Autonomous Bicycle Control

DBLP: Phase-Aware Bounded-Loss Transport for Burst-Resilient Distributed ML Training

From Characterization To Construction: Generative Quantum Circuit Synthesis from Gate Set Tomography Data

HandelBot: Real-World Piano Playing via Fast Adaptation of Dexterous Robot Policies

Hybrid Quantum Reinforcement Learning with QAOA for Improved Vehicle Routing Optimization

Learning Equivariant Neural-Augmented Object Dynamics From Few Interactions

Machine Learning Enhanced Laser Spectroscopy for Multi-Species Gas Detection in Complex and Harsh Environments

MolmoAct2: Action Reasoning Models for Real-world Deployment

MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings

OphMAE: Bridging Volumetric and Planar Imaging with a Foundation Model for Adaptive Ophthalmological Diagnosis

Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels

ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization

SRGAN-CKAN: Expressive Super-Resolution with Nonlinear Functional Operators under Minimal Resources

TAIL-Safe: Task-Agnostic Safety Monitoring for Imitation Learning Policies

TF1-EN-3M: Three Million Synthetic Moral Fables for Training Small, Open Language Models

Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration

A decade of quantum on the cloud

AMD is adding HDMI 2.1 support for Linux. That's good news for the Steam Machine.

Autoformalizing Memory Specifications with Agents

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BlenderRAG: High-Fidelity 3D Object Generation via Retrieval-Augmented Code Synthesis

Caracal: Causal Architecture via Spectral Mixing

Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference

Conformalized Quantum DeepONet Ensembles for Scalable Operator Learning with Distribution-Free Uncertainty

Foundational research powering efficient inference at scale

From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects

Quantum Gradient-Based Approach for Edge and Corner Detection Using Sobel Kernels

Tempus: A Temporally Scalable Resource-Invariant GEMM Streaming Framework for Versal AI Edge

Would a 2nd hand custom built 2080 Ti 22GB vram be worth it? How usable would it be with ComfyUI? Or maybe even 2 pcs with NVLink? Can large models, like Wan2.2 be split with NVLink like it's 44GB, or will it always be 22GB for 1 model, and 22GB for another model (encoders, CLIP, anything else)?

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Best Local Vision-Language Models?