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.
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.
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.
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.
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.
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 – cheap to feed. See the full parts picture in our first-PC-build guide.
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.
LLM VRAM Calculator – does your target model fit in 12 GB or 16 GB? · GPU AI Performance Calculator – how fast will it actually be?
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