When was dlss released

Content on WhatAnswers is provided "as is" for informational purposes. While we strive for accuracy, we make no guarantees. Content is AI-assisted and should not be used as professional advice.

Last updated: April 17, 2026

Quick Answer: DLSS (Deep Learning Super Sampling) was first released by NVIDIA on January 25, 2019, alongside the launch of the GeForce RTX 20-series GPUs. It debuted in the game *Control* as a beta feature and has since evolved through multiple versions with improved performance and image quality.

Key Facts

DLSS was officially released on January 25, 2019
First introduced with NVIDIA's GeForce RTX 20-series GPUs
Initial version launched in the game *Control* as a beta
DLSS 2.0 arrived in March 2020 with major quality improvements
By 2023, over 300 games supported DLSS technology

Overview

Deep Learning Super Sampling (DLSS) is NVIDIA's revolutionary AI-powered upscaling technology designed to boost gaming performance while maintaining high image quality. It leverages machine learning and Tensor Cores on RTX GPUs to render games at lower resolutions and upscale them in real time.

Since its debut, DLSS has become a cornerstone of modern gaming, enabling higher frame rates and smoother gameplay without sacrificing visual fidelity. The technology continues to evolve with each new version, expanding support across a growing library of titles.

DLSS launched on January 25, 2019, coinciding with the release of NVIDIA’s Turing-based GeForce RTX 2080 Ti, marking a major leap in real-time rendering technology.
The first public implementation appeared in Control, where players could enable DLSS in beta form to test performance gains and image quality trade-offs.
Early versions used a convolutional autoencoder network trained on specific games, requiring per-game models and limiting broad compatibility at launch.
DLSS 2.0, released in March 2020, introduced a generalized AI network that eliminated the need for per-game training, greatly accelerating adoption across titles.
By 2023, over 300 games officially supported DLSS, including major franchises like Cyberpunk 2077, Fortnite, and Star Wars Jedi: Survivor.

How It Works

DLSS operates by rendering frames at a lower internal resolution and using AI to upscale them to the display’s native resolution, preserving sharpness and detail. This process relies on dedicated Tensor Cores found in RTX GPUs to run deep learning algorithms efficiently.

Tensor Cores: Specialized processing units in NVIDIA’s RTX GPUs introduced with the Turing architecture in 2018. They accelerate AI inference tasks like DLSS by performing mixed-precision calculations at high speed.
AI Training: NVIDIA trains the DLSS model using high-resolution images rendered offline with supersampling. The AI learns to reconstruct fine details from lower-resolution inputs using this reference data.
Temporal Feedback: DLSS 2.0 and later incorporate data from previous frames using motion vectors and optical flow to improve stability and reduce ghosting artifacts in fast-moving scenes.
Resolution Scaling: The GPU renders internally at, for example, 1080p, then upscales to 4K. This can result in up to 2x performance improvement depending on settings and hardware.
Multi-Frame Generation: DLSS 3 and 3.5 introduced frame interpolation using AI, generating entirely new frames between rendered ones to further boost frame rates in compatible titles.
Dynamic Resolution Handling: DLSS adapts in real time to fluctuating workloads, maintaining consistent output quality even during intense graphical scenes or sudden camera movements.

Comparison at a Glance

Here’s how DLSS compares to competing upscaling technologies across key performance and quality metrics:

Technology	Release Date	Developer	GPU Support	Key Advantage
DLSS	January 2019	NVIDIA	RTX 20-series and newer	AI-trained models, high image quality
FidelityFX Super Resolution (FSR)	July 2021	AMD	RDNA 2 and newer, including non-AMD GPUs	Cross-platform availability
XeSS	December 2022	Intel	Intel Arc GPUs, some NVIDIA/AMD support	Hybrid AI and non-AI modes
TSR (Temporal Super Resolution)	2021	Epic Games	Unreal Engine 5 (all GPUs)	Engine-integrated, no hardware lock-in
DLSS 3 Frame Gen	September 2022	NVIDIA	RTX 40-series only	AI-generated frames for 2x FPS boost

While AMD’s FSR leads in compatibility across GPU brands, DLSS maintains an edge in image quality and performance due to its AI-driven approach and dedicated hardware. NVIDIA’s early investment in AI infrastructure gives it a technological lead, especially with frame generation in DLSS 3.

Why It Matters

DLSS has fundamentally changed how games are rendered, enabling higher frame rates and resolutions without requiring exponentially more powerful hardware. It represents a shift from brute-force rendering to intelligent, AI-assisted graphics processing.

Enables 4K gaming on consumer hardware by rendering at lower resolutions and upscaling, making high-fidelity gaming more accessible.
Reduces GPU load by up to 50% in supported titles, allowing laptops and mid-tier desktops to run demanding games smoothly.
Improves power efficiency in laptops and handhelds like the ROG Ally, extending battery life during gameplay sessions.
Accelerates adoption of ray tracing by offsetting its performance cost, making realistic lighting more practical in real-time applications.
Drives innovation in AI rendering, influencing competitors to develop their own machine learning-based upscaling solutions.
Has become a key selling point for NVIDIA GPUs, differentiating RTX cards in a competitive market.

As AI continues to evolve, DLSS sets a precedent for how machine learning can enhance real-time graphics, paving the way for smarter, more efficient rendering techniques in future games and applications.