AMD Radeon RX 7700 XT

What it does well

The RX 7700 XT is AMD's RDNA 3 mid-tier consumer card and the value-conscious AMD pick at the 12 GB tier. 12 GB GDDR6 at 432 GB/s + RDNA 3 compute units at $449 MSRP / $300-400 used. The 12 GB VRAM ceiling is similar to NVIDIA's 12 GB tier — fits 7B-13B class models with comfortable context, smaller MoE models, 13B Q5 with 32K context. RDNA 3 + ROCm 6.4+ for Linux + DirectML for Windows + llama.cpp ROCm + Ollama AMD support all run RX 7700 XT first-class. Power draw at 245 W TDP is reasonable. For buyers who want AMD at the cost-conscious 12 GB consumer tier (without paying for 16 GB+ AMD or going to 24 GB AMD flagship), RX 7700 XT is the right pick at $300-400 used.

Where it breaks

• No CUDA — full stop. vLLM, SGLang, TensorRT-LLM, ExLlamaV2, most fine-tuning libraries — none run on AMD Radeon. ROCm + llama.cpp + DirectML cover the basics but the long tail of CUDA-only frameworks doesn't.
• 12 GB ceiling kills serious local AI. 14B FP16 doesn't fit, 32B Q4 doesn't fit, 70B is impossible. Same hard ceiling as all 12 GB cards.
• Pricing competition is harsh from above and below. RX 7800 XT (16 GB) at $499 MSRP has 33% more VRAM at +$50 — almost always worth the upgrade for AMD-aligned local AI buyers. From below, RX 7600 XT (16 GB) at $329 has 33% more VRAM at lower price.
• No FP8 native (RDNA 3 limitation). Modern frameworks that exploit FP8 don't get speedup.
• Architecture is one generation behind RDNA 4. RX 9070 at $549 has improved AI tensor compute + RDNA 4 features at modest premium for new builds.
• Day-zero new model support is uneven. AMD Radeon LLM support typically arrives weeks-to-months after NVIDIA.
• Limited fine-tuning paths. ROCm consumer fine-tuning is rough.

Ideal model range

• Sweet spot: 7B–13B FP16 inference at ~50–80 tok/s decode with 32K context.
• Sweet spot: Smaller MoE inference (sub-14B parameters active) — fits 12 GB with reasonable speed.
• Sweet spot: Multi-model agentic loops fitting 12 GB total — 4B + embedding + small classifier + speculative decoder.
• Stretch: 14B Q4 with 8K context (just fits 12 GB tight).
• Stretch: 7B QLoRA fine-tuning (where ROCm fine-tuning paths exist).
• Bad fit: 32B-class anything, 70B-class anything, very long context on bigger models.

Bad use cases

• CUDA-locked stacks. Don't pick AMD if your toolchain requires CUDA.
• Production multi-tenant serving. Consumer pick.
• Maximum decode throughput. RTX 4070 (12 GB) wins on bandwidth and CUDA ecosystem at similar pricing.
• Anyone with $50 more in budget. RX 7800 XT (16 GB) at $499 is almost always worth the upgrade.
• Anyone wanting day-zero new model support. ROCm + AMD consumer always lags CUDA.
• First-time local AI buyers without ROCm familiarity. Friction tax is real; pick NVIDIA for low-friction first experience.

Verdict

Buy this if you find a used RX 7700 XT at $300–$400, you specifically want AMD at the 12 GB tier (vendor diversification, ROCm familiarity, ideological preference), your workload is firmly 7B-13B FP16/Q5, and you can absorb the modest software-ecosystem friction. RX 7700 XT is the right "AMD value 12 GB" pick — but most buyers should stretch to RX 7800 XT for the 16 GB upgrade.

Skip this if RX 7800 XT (16 GB) at $499 fits your budget (almost always worth the +$50 for 33% more VRAM), your stack requires CUDA (pick RTX 4070 at similar pricing), RX 7600 XT (16 GB) at $329 fits your workload (more VRAM at lower price), or you want current-gen (RX 9070 for RDNA 4 + improved AI tensor units).

How it compares

• vs RX 7800 XT (16 GB) → 7800 XT has 33% more VRAM + ~45% more compute + ~45% more bandwidth at +$50 MSRP. Almost always worth the upgrade for AMD-aligned local AI buyers. See /compare/rx-7700-xt-vs-rx-7800-xt.
• vs RX 7600 XT (16 GB) → Same RDNA 3 architecture. 7600 XT has 33% more VRAM but ~30% less compute at -$120 MSRP. For pure AI VRAM-vs-compute tradeoff, 7600 XT often wins because the 16 GB ceiling unlocks more workloads.
• vs RX 9070 (16 GB) → 9070 has RDNA 4 + improved AI tensor units + 33% more VRAM at +$100 MSRP. The strict upgrade path for new AMD builds.
• vs RTX 4070 (12 GB) → Same VRAM tier. 4070 has full CUDA + Ada-gen + ~17% more bandwidth at +$150 MSRP. Pick 4070 for ecosystem certainty + speed; 7700 XT for AMD value at lower price.
• vs RTX 5070 (12 GB) → Same VRAM tier, NVIDIA Blackwell vs AMD RDNA 3. 5070 has full CUDA + FP4 native + ~55% more bandwidth at +$100 MSRP. Pick 5070 for CUDA + Blackwell; 7700 XT for AMD value entry.