# Best GPU for AI under ₹50,000 (India, 2026) > The best GPUs for AI under ₹50,000 in India – which cards actually fit the budget and can run local LLMs, with VRAM per rupee compared. *Source: https://velstech.net/best-gpu-ai-under-50000 · Updated: 2026-08-27 · Category: Hardware · Tags: GPU, Budget, India, Local AI, VelsTech Lab* *Markdown version of [Best GPU for AI under ₹50,000 (India, 2026)](https://velstech.net/best-gpu-ai-under-50000). [Read the full guide with interactive tools](https://velstech.net/best-gpu-ai-under-50000).* *Also as Markdown: [Hindi](https://velstech.net/best-gpu-ai-under-50000.hi.md) · [Tamil](https://velstech.net/best-gpu-ai-under-50000.ta.md).* --- You want to run local LLMs and you have about ₹50,000 to spend on a graphics card. Good news: this is actually the most interesting price bracket in 2026, because 16 GB cards have finally dropped into it. Here's how to spend that budget the smart way. ## Quick answer - Best overall under ₹50k: RX 7600 XT 16 GB (~₹38k) or RTX 4060 Ti 16 GB (~₹48k) – the 16 GB versions are the only cards that run 14B models fully on GPU at this price. - Best value if you can stretch a little: RX 7700 XT 12 GB (~₹40k) for speed, or wait for a 4060 Ti 16 GB deal. - Best used option: RX 6800M 12 GB (~₹20–25k used) – the local-AI value king. - Avoid: 8 GB cards for anything beyond 7B models. ## How to think about AI GPUs in India In India, GPU pricing is brutal – but the rule is the same as everywhere: for local LLMs, **VRAM is king**. A slower 16 GB card beats a faster 8 GB card for AI, because an 8 GB card simply can't load 14B models without crawling through system RAM. Speed matters second; compute matters third. So ignore the "how many FPS does it do in games" question and ask one thing: **how much VRAM per rupee does this card give me?** ## Your options under ₹50,000 ``` GPU VRAM Bandwidth ~Street price Can run ────────────────────────────────────────────────────────────────── RTX 4060 8 GB 272 GB/s ₹30,000 7B Q4 only RX 7600 8 GB 288 GB/s ₹28,000 7B Q4 only RX 7600 XT 16 GB 288 GB/s ₹38,000 14B Q4 ✓ RTX 4060 Ti 16 GB 288 GB/s ₹48,000 14B Q4 ✓ RX 7700 XT 12 GB 432 GB/s ₹40,000 14B Q4 (tight ctx) RX 6800M (used) 12 GB 384 GB/s ₹22,000 14B Q4 (short ctx) ``` Prices are approximate Indian street prices in mid-2026 and move constantly – check live prices before you buy. "Can run" assumes Q4_K_M quantization. ## Best budget: RX 7600 XT 16 GB (~₹38,000) This is the standout value of 2026. 16 GB of VRAM for under ₹40,000 means you can run 14B Q4_K_M fully on GPU – a genuinely useful local assistant – and even dabble in 27B with offload. It's not the fastest card in the world, but for AI it's the right trade-off. ROCm support is solid, so it works with llama.cpp, Ollama, and LM Studio out of the box. Check price on Amazon → ## The stretch pick: RTX 4060 Ti 16 GB (~₹48,000) If ₹48k is within reach, the 4060 Ti 16 GB is the safest buy under the cap. Same 16 GB as the 7600 XT, but NVIDIA's software ecosystem is more forgiving – CUDA works with every tool, and prefill is faster. It's the card I'd recommend to anyone who doesn't want to think about compatibility. Check price on Amazon → ## The speed play: RX 7700 XT 12 GB (~₹40,000) The 7700 XT is faster than both of the above thanks to ~50% more memory bandwidth – but it has only 12 GB. That means 14B Q4 fits with a *short* context, and you'll feel the squeeze with long prompts. Buy it if you game heavily *and* do light AI; buy the 16 GB cards if AI is the priority. Check price on Amazon → ## The used bargain: RX 6800M 12 GB (~₹22,000) The RX 6800M is a laptop chip that shows up on cheap used boards in India, and for local AI it's the best money you'll ever spend: 12 GB, decent bandwidth, ₹22k-ish. It runs 7B Q4 at great speed and 14B Q4 with a modest context. Perfect first card for experimenting before you commit ₹50k. Search RX 6800M on Amazon → ## What about 8 GB cards? RTX 4060 (8 GB) and RX 7600 (8 GB) are fine for 7B Q4 models and for running a local coding assistant. But the moment you want 14B or a long context, they hit a wall. For ₹8–10k more, the 16 GB cards are a completely different tier of usefulness. If your budget is truly locked at ~₹30k, a 4060 8 GB still gets you into local AI – just know the ceiling. Check price on Amazon → ## Don't forget the rest of the build A 14B model offloads to system RAM when it doesn't fit, so pair your GPU with **16–32 GB of RAM**. And a card like the 4060 Ti only needs a [550 W PSU](https://velstech.net/psu-calculator) – cheap to feed. See the full parts picture in [our first-PC-build guide](https://velstech.net/first-pc-build). ## FAQ ### Is an 8 GB card enough for AI in 2026? For 7B Q4 models, yes. For 14B+, no – you'll want 16 GB. ### Is AMD good for local AI in India? Yes. ROCm works with llama.cpp/Ollama/LM Studio, and AMD gives you more VRAM per rupee – exactly what you want under ₹50k. ### Should I buy used? For an entry card, yes – the RX 6800M is a great deal. For a big spend, prefer new with warranty; mining-market cards are a gamble. ### Can I run 27B models on this budget? Only with CPU offload (slow). At this price, plan around 7B–14B and you'll be happy. ## Bottom line Under ₹50,000, buy 16 GB: the **RX 7600 XT** for pure value, the **RTX 4060 Ti 16 GB** for plug-and-play NVIDIA, or a used **RX 6800M** to dip your toes in cheaply. Check your model's real VRAM needs in the calculator before you commit. 🔧 Confirm the fit before you buy LLM VRAM Calculator – does your target model fit in 12 GB or 16 GB? · GPU AI Performance Calculator – how fast will it actually be? [Open calculator →](https://velstech.net/llm-vram-calculator) ## FAQ **Can I run a local LLM on a GPU under ₹50,000?** Yes. A 12 GB card in that budget (like a used Radeon RX 6800 XT or an RTX 3060 12GB) can run 7B–13B models comfortably at 4-bit quantization, and lighter 32B models with CPU offload. **Should I buy new or used for the best VRAM per rupee?** Used Radeon cards often win on raw VRAM per rupee, but check warranty and mining history. For the smoothest setup with the least tinkering, an NVIDIA card is usually easier to get working. --- *VelsTech – technology explained for everyone. Original: https://velstech.net/best-gpu-ai-under-50000*