Google Gemma 4 31B Confirmed on RTX 5060 Ti 16GB
Key insights
- Gemma 4 31B-A4B running at NVFP4 quantization with MTP is now confirmed functional on a single 16GB RTX 5060 Ti consumer GPU.
- vLLM 0.21 nightly enables Multi-Token Prediction on this config, with MTP delivering reported throughput gains of 1.7 to 3x elsewhere.
- Community benchmarking on RTX 5060 Ti is just beginning, with no standardized Gemma 4 performance baselines published yet for this tier.
Why this matters
The RTX 5060 Ti 16GB sits in the $400-500 price range, making this the first confirmed instance of a 31B-parameter model with MTP throughput acceleration running on hardware accessible to individual developers and small teams without server infrastructure. vLLM's MTP implementation combined with NVFP4 on RTX 50-series silicon shifts the performance-per-dollar calculus for local inference well beyond what INT4 quantization on RTX 30/40-series achieved, changing the self-hosting math for Gemma-class models. Organizations weighing self-hosted inference against API costs for Gemma 4 now have a concrete consumer hardware reference point to anchor their cost models.
Summary
A community member on r/LocalLLaMA has posted the first confirmed working setup for Google's Gemma 4 31B-A4B model at NVFP4 quantization on a single RTX 5060 Ti 16GB, with Multi-Token Prediction enabled through vLLM 0.21 nightly builds.
The configuration uses CUDA 13 and the uv package manager inside a fresh virtual environment. MTP, which has delivered 1.7 to 3x throughput gains on comparable hardware tiers elsewhere, is confirmed functional with the latest vLLM nightly. The poster is now actively soliciting benchmark numbers from other 5060 Ti owners to build a community-level performance baseline for this new consumer GPU generation.
Essentially: (Google, Nvidia, vLLM) have converged to make a 31B MoE model viable on a single consumer card.
- Gemma 4 31B-A4B activates only 4B parameters per token, which is what makes the 16GB fit possible.
- NVFP4 is Nvidia's native 4-bit floating-point format on RTX 50-series silicon, distinct from older INT4 schemes.
- MTP predicts multiple tokens per forward pass, multiplying throughput without requiring additional VRAM.
This marks the opening of community benchmarking on the RTX 5060 Ti generation, and no standardized numbers exist yet.
Potential risks and opportunities
Risks
- vLLM nightly builds are inherently unstable; developers who build workflows on this configuration risk breaking changes before a stable 0.21 release lands.
- NVFP4 is exclusive to RTX 50-series hardware, meaning the large installed base of RTX 30/40 users cannot replicate this setup, fragmenting community benchmark comparisons from the start.
- If community numbers come in below the 1.7x MTP floor seen on other hardware, it would undercut the 5060 Ti's positioning as a local-inference card and reduce purchase intent among the LocalLLaMA audience.
Opportunities
- Nvidia gains a concrete local-inference marketing narrative for RTX 50-series if community benchmarks confirm 2x-plus throughput gains over previous-gen cards on Gemma 4.
- vLLM maintainers can use this community thread as a real-world MTP validation signal to accelerate prioritization of MTP in the stable release roadmap.
- Google DeepMind benefits from Gemma 4 becoming the de facto reference model for consumer local inference, strengthening developer ecosystem lock-in ahead of competing open-weight releases.
What we don't know yet
- Actual tokens-per-second throughput on the 5060 Ti with MTP enabled has not been published -- the post opens the call for numbers but none are in yet.
- Whether NVFP4 quantization introduces measurable quality degradation versus BF16 on Gemma 4 reasoning benchmarks has not been tested or reported in this thread.
- Broad availability of RTX 5060 Ti 16GB cards outside the US remains unclear as of mid-May 2026, limiting how quickly community benchmarking can scale.
Originally reported by reddit.com
Read the original article →Original headline: r/LocalLLaMA: First Working Gemma 4 31B-A4B NVFP4 + vLLM 0.21 MTP on Single RTX 5060 Ti 16GB — Community Opens Benchmarking on New-Gen Consumer Card