NVIDIA RTX 5060

NVIDIA RTX 5060: Launched May 19, 2025 on the Blackwell GB206-250 die at a $299 MSRP, though real street prices ran $330-360 during launch week: $330 at Newegg, $360 in Taiwan. NVIDIA didn't seed review samples to press at all this time: GamersNexus bought its own two cards to run a delayed, self-funded review it titled "Forbidden Review," writing it would likely keep buying every future NVIDIA GPU it tests rather than depend on manufacturer samples, and calling the pattern "anti-consumer." The card itself: 3,840 CUDA cores, a 145W TDP, and PCIe 5.0 x8, half the lanes of a full x16 slot, a cut this card shares with the RTX 4060 before it, and one that costs little in practice on a Gen 4 or Gen 5 board.

This site's calculator puts Qwen 2.5 7B at 43.4 tok/s at Q6_K (7.5 GB, fits natively) and Llama 3.1 8B at 49 tok/s at Q4_K_M (6.7 GB); Q6_K doesn't quite fit for the 8B model (8.56 GB, tips into offload), so Q4_K_M is the practical ceiling for 8B-class weights. Qwen2.5 14B doesn't fit natively even at Q3_K_M (9.7 GB total, spills into system RAM on this 8GB card); this is really a 7-8B-class GPU, not a 14B one. The 5th-gen Tensor Cores also run NVIDIA's native NVFP4 format, a 4-bit quantization scheme newer than the legacy GGUF K-quants, in hardware, and it's the fastest fit for both models this card actually handles: Qwen 2.5 7B reaches 68.2 tok/s at NVFP4 (4.78 GB) versus 43.4 tok/s at Q6_K, and Llama 3.1 8B reaches 57.4 tok/s at NVFP4 (5.68 GB) versus 49 tok/s at Q4_K_M. Those two NVFP4 figures are worth comparing against the RTX 5060 Ti 16GB, which shares this card's exact 448 GB/s bandwidth: this site's calculator returns the identical 68.2 tok/s for Qwen 2.5 7B and 57.4 tok/s for Llama 3.1 8B on both cards, bit-for-bit, since decode speed is bandwidth-bound and the two cards' memory subsystems are otherwise the same; the Ti's 16GB buys headroom for larger models, not a faster ceiling for the ones that already fit here.

Compute capability 12.0 (sm_120) was genuinely new hardware at launch: stable PyTorch releases needed months to add sm_120 kernels (a GitHub issue tracking official support, pytorch/pytorch#159207, stayed open for months after this card's May 2025 launch), and NVIDIA's own engineering blog cites a ~27% LM Studio speedup after upgrading to the CUDA 12.8 runtime Blackwell requires. That gap has closed since launch, but a very old llama.cpp, Ollama, or PyTorch build may still not recognize this GPU's architecture. VRAM capacity is the bigger long-run constraint: this is the second straight generation at 8GB (the RTX 4060 was 8GB too), even as bandwidth jumped 64.7%; reviewers were near-unanimous that capacity, not compute, is what will limit this card first. It shares that same 448 GB/s ceiling with the RTX 5060 Ti 16GB one step up in the lineup, so the Ti's $429 MSRP buys double the VRAM on an identical memory subsystem rather than a faster one.