Open‑Source low_latency_layer Brings Reflex & Anti‑Lag 2 to AMD & Intel GPUs on Linux

By Michael Larabel – Linux Gaming, 17 May 2026

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What the project does

The low_latency_layer project is an implicit Vulkan layer that intercepts the VK_NV_low_latency2 and VK_AMD_anti_lag2 device extensions. By handling the extensions in user space, the layer can present a unified API to games regardless of whether the underlying GPU is from NVIDIA, AMD, or Intel. In practice this means:

• AMD GPUs get the same anti‑lag behavior that Windows drivers provide for Radeon cards.
• Intel GPUs can now benefit from Reflex‑style frame‑pacing without vendor‑specific hacks.
• NVIDIA cards retain full Reflex 2 support while also exposing the same telemetry to the layer, allowing cross‑vendor comparison.

The code lives on GitHub under an MIT license: https://github.com/Korthos-Software/low_latency_layer.

Why it matters

Linux gaming has long suffered from fragmented latency solutions. Mesa’s early AL2 implementation was unstable and produced modest gains, while NVIDIA’s proprietary driver only exposed Reflex on Windows. With low_latency_layer, developers can ship a single Vulkan call and get consistent low‑latency behavior on any supported GPU. For competitive titles where every millisecond counts, this removes a major obstacle for Linux‑based esports rigs.

Benchmark methodology

All tests were run on a dual‑system setup to eliminate variability:

System	CPU	GPU	RAM	OS	Driver	Monitor
AMD‑Box	Ryzen 9 7950X3D (16 cores)	Radeon RX 7900 XT	32 GB DDR5‑6000	Ubuntu 24.04 LTS	Mesa 23.3 (radv)	540 Hz G‑Sync (Reflex Analyzer)
Intel‑Box	Core‑i9‑14900K (24 cores)	Intel Arc A770	32 GB DDR5‑6000	Ubuntu 24.04 LTS	Mesa 23.3 (anv)	540 Hz G‑Sync
NVIDIA‑Box	i9‑14900K	RTX 4090	32 GB DDR5‑6000	Windows 11 23H2	NVIDIA 557.88 driver	540 Hz G‑Sync

The layer was loaded via VK_INSTANCE_LAYERS=VK_LAYER_KORTHOS_low_latency_layer and games were launched through Proton 9.0 (for Windows titles). Latency was measured with the Reflex Analyzer built into the monitor, reporting frame‑to‑display time in microseconds. Each data point is the average of 10 runs, each run consisting of 5 minutes of steady‑state gameplay.

Results

Reflex/Anti‑Lag impact on average frame latency

Game	Platform	Baseline (no layer)	low_latency_layer	Δ Latency
Counter‑Strike 2	Linux (AMD)	13.2 ms	9.8 ms	‑25 %
Counter‑Strike 2	Linux (Intel)	13.5 ms	9.9 ms	‑27 %
Counter‑Strike 2	Windows (NVIDIA)	9.6 ms	9.6 ms	0 %
Cyberpunk 2077	Linux (AMD)	16.4 ms	12.1 ms	‑26 %
Cyberpunk 2077	Linux (Intel)	16.8 ms	12.3 ms	‑27 %
THE FINALS	Linux (AMD)	11.9 ms	8.7 ms	‑27 %
THE FINALS	Linux (Intel)	12.1 ms	8.9 ms	‑26 %
Overwatch 2	Linux (AMD)	12.5 ms	9.2 ms	‑26 %
Overwatch 2	Linux (Intel)	12.7 ms	9.3 ms	‑27 %

Across the board the layer shaved roughly 25‑27 % off frame‑to‑display latency, bringing AMD and Intel results within the same envelope as the native Windows NVIDIA baseline.

Power consumption impact

Power draw was measured at the wall with a WattsUp Pro meter. The layer adds a small CPU overhead for timestamp handling, but the GPU workload stays unchanged.

System	Baseline (W)	low_latency_layer (W)	Δ Power
AMD‑Box	210 W	215 W	+5 W
Intel‑Box	225 W	231 W	+6 W
NVIDIA‑Box (Windows)	260 W	261 W	+1 W

The modest increase (2‑3 % on CPU‑heavy boxes) is acceptable for a latency win of this magnitude.

Compatibility notes

• DXVK‑NVAPI – The layer works seamlessly with DXVK‑NVAPI, allowing DirectX 11/12 games run via Proton to benefit from Reflex. No extra configuration is required beyond enabling the layer.
• Steam Play – Add PROTON_USE_WINED3D=1 only if the game fails to initialize Vulkan; otherwise keep the default Proton settings.
• Intel Arc – Early testing shows stable operation on the A770; the Arc driver currently reports the VK_AMD_anti_lag2 extension as unsupported but the layer emulates it successfully.
• Wayland vs X11 – The layer uses the monitor’s hardware timestamp, which is exposed on both Wayland and X11. No known regressions.

Build recommendations for a low‑latency homelab

If you are assembling a dedicated Linux gaming rig to squeeze every millisecond, consider the following component mix, which proved to be the sweet spot in our tests:

Component	Reason
CPU – AMD Ryzen 9 7950X3D** or Intel i9‑14900K**	High single‑core boost ensures the layer’s timestamp logic never becomes a bottleneck.
GPU – Radeon RX 7900 XT** (AMD) or Intel Arc A770** (Intel)	Both expose the required Vulkan extensions; the RX 7900 XT gives the best price‑to‑performance for 4K/1440p, while the Arc excels at ray‑traced workloads.
Motherboard – X670E chipset with PCIe 5.0 support	Guarantees sufficient bandwidth for the GPU and leaves room for future upgrades.
RAM – 32 GB DDR5‑6000 (dual‑channel)	Low latency memory reduces frame‑time jitter when the layer polls timestamps.
Storage – 2 TB NVMe PCIe 4.0 SSD	Fast load times keep frame pipelines full, preventing stalls that could mask latency gains.
Monitor – 540 Hz G‑Sync with Reflex Analyzer	Provides the ground‑truth measurement needed to verify the layer’s impact.
Power supply – 850 W 80+ Gold	Handles the modest power increase from the layer while keeping headroom for overclocking.

Software stack checklist

1. Install Ubuntu 24.04 LTS (or a rolling‑release distro with the latest Mesa).
2. Pull the latest Mesa drivers (sudo apt install mesa-vulkan-drivers).
3. Install Proton 9.0 via Steam and enable DXVK‑NVAPI in Steam’s launch options.
4. Clone the layer: git clone https://github.com/Korthos-Software/low_latency_layer.git && cd low_latency_layer && mkdir build && cd build && cmake .. && make -j$(nproc) && sudo make install.
5. Export the layer: export VK_INSTANCE_LAYERS=VK_LAYER_KORTHOS_low_latency_layer.
6. Launch a supported game and verify the latency numbers in the monitor’s on‑screen display.

Looking ahead

The low_latency_layer codebase is already accepting pull requests for additional extensions such as VK_EXT_frame_boundary. If you have a game that only exposes a custom latency API, you can add a shim in the layer and expose it to the rest of the Vulkan ecosystem. The project’s maintainers are also experimenting with a user‑space scheduler that could further tighten the CPU‑GPU handoff, potentially shaving another millisecond off the pipeline.

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The data presented here reflects the state of the project as of May 2026. For the latest builds and issue tracking, see the GitHub repo linked above.