AMD Instinct MI50

What hackers pick instead

• NVIDIA H100People recommend it for top AI training and cheap rental access, though critics cite high purchase cost, power draw and failure rates.20recommend
• NVIDIA Tesla V100People recommend the used V100 as cheap VRAM and FP64 compute for local AI and physics work. Caveats: no bfloat16, loud fans, high idle power.16recommend
• AMD Instinct MI355XStrong memory and performance per dollar for large AI inference and training; critics say its software stack lags and it trails Nvidia's B300 on some benchmarks.14recommend
• Nvidia A100Long-lived datacenter GPU that people still run for AI and compute work years after release; the most common caveat is that it can be unreliable under long runs.10recommend
• Intel D270 GPU AI AcceleratorRecommended for holding many resident AI models in 480 GB of LPDDR5X memory. Critics say its low memory bandwidth makes it slow, and it is very expensive for individuals.10recommend

Every quote

The 14 most detailed of 14 comments. Each links to the original.

1. A few people on r/localllama have shown setups with multiple MI50s running with 128gb of VRAM and doing a decent job with large models.

   Recommends · Nov 2025 · in “Tongyi DeepResearch – open-source 30B MoE Model that rivals OpenAI DeepResearch”

2. They’ve significantly increased in price (so much for hardware depreciation…)

   Mixed · May 2026 · in “Was my $48K GPU server worth it?”

3. it's not without some pain points like manual recompilation

   Mixed · May 2026 · in “I Put a Datacenter GPU in My Gaming PC for £200”

4. or a Mi50 16GB or <$200 but you’d need to stack 4 of them

   Mixed · May 2026 · in “Was my $48K GPU server worth it?”

5. Maybe pick up a couple MI50 32GB cards off Alibaba.

   Recommends · Nov 2025 · in “Server DRAM prices surge 50% as AI-induced memory shortage hits hyperscalers”

6. It has 1TB/s vram bandwidth thanks to its HBM2.

   Recommends · Aug 2026 · in “Run Qwen3.8 27B locally: real numbers from my Mac Studio”

7. stupidly fast VRAM and basically no compute

   Mixed · May 2026 · in “Qwen3.7-Max: The Agent Frontier”

8. That card isn't even really designed for AI workloads at all.

   Criticizes · Sep 2026 · in “Speculative Decoding in vLLM on AMD GPUs”

9. i need to patch all of my applications to work

   Criticizes · Apr 2026 · in “(AMD) Build AI Agents That Run Locally”

10. Im using an MI50 right now and I would wish newer datacenter cards could also be used for everything like them

    Recommends · Jul 2026 · in “Benchmarking 15 "E-Waste" GPUs with Modern Workloads”

11. it feels pretty great having a backup plan that does not depend on any external 3rd parties

    Recommends · Sep 2026 · in “Which tools do Claude, Codex and Cursor choose? We measured 17k runs to find out”

12. it can easily generate over 70 tokens per second for gemma 4 26B moe model (q4)

    Recommends · Jun 2026 · in “A 10 year old Xeon is all you need (for 26B-A4B MTP Drafters without GPU)”

13. AMD also deprecates cards and throw in wrenches for cards that are hot in used markets

    Criticizes · Sep 2026 · in “Speculative Decoding in vLLM on AMD GPUs”

14. Vega... unfortunately kinda sucks.

    Criticizes · May 2026 · in “Qwen3.7-Max: The Agent Frontier”