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AMD Instinct MI355X 288GB
AMD · GPU · CDNA 4

AMD Instinct MI355X 288GB — Benchmarks & Specs

288 GB VRAM1400W TDP2025

Bottom line: how fast is the AMD Instinct MI355X 288GB?

For local LLM inference it generates 103480.0 tokens/sec running llama2:70b at FP4 under vllm, per AMD ROCm Blog. Its 288 GB of VRAM is the binding constraint for local inference: that capacity fits 70B-parameter open-weight models at Q4 without offloading.

Every figure above is a row in the tables below, and each row links out to the review or public benchmark database the number was taken from. SpecPicks aggregates published measurements; it does not report first-party benchmark runs.

The AMD Instinct MI355X 288GB is a graphics card from the CDNA 4 family released in 2025 from AMD. Key on-paper specs include 288 GB of GDDR VRAM, 1400W TDP. Data on this page draws on 12 community AI inference reports, aggregated from public benchmark databases (TechPowerUp, PassMark, Geekbench, Cinebench) and the LocalLLaMA community. Read this page when shopping the AMD Instinct MI355X 288GB, comparing it against other graphics cards in your build, or sizing it for a specific workload (gaming at 1080p/1440p/4K, productivity benchmarks, or local LLM inference).

AI Inference Performance

Tokens per second under each model + quantization. Higher = faster generation. Bars compare runs across the same model.

Local LLM inference throughput on the AMD Instinct MI355X 288GB, in generated tokens per second. Higher is better; each row links to the community report or benchmark database it came from.
Model Quantization Relative Tokens/sec VRAM used Source
llama2:70b FP4 vllm 103480.0 tok/s AMD ROCm Blog 2026-04-01
llama2:70b MXFP4 vllm 103480.0 tok/s AMD ROCm Blog 2026-04-01
gpt-oss-120b MXFP4 vllm 95004.0 tok/s AMD ROCm Blog 2026-04-01
qwen3-235b-a22b FP8 vllm 14043.0 tok/s Metrum AI 2026-01-01
llama2:70b FP4 other 12535.0 tok/s StorageReview 2026-04-01
llama2:70b FP4 vllm 12535.0 tok/s AMD ROCm Blogs (MLPerf Inference v6.0) 2026-04-01
gpt-oss-120b FP4 vllm 10267.0 tok/s AMD ROCm Blogs (MLPerf Inference v6.0) 2026-04-01
kimi-k2.5 FP4 vllm 2687.0 tok/s InferenceX by SemiAnalysis 2026-06-01
deepseek-r1-0528:671b MXFP4 sglang 2436.0 tok/s LMSYS Org 2026-05-28
deepseek-r1:671b MXFP4 sglang 2436.0 tok/s LMSYS Org 2026-05-28
deepseek-r1:671b FP4 sglang 2436.0 tok/s LMSYS 2026-05-28
deepseek-r1:671b FP8 sglang 2378.0 tok/s LMSYS 2026-05-28

Full Specifications

tdp w1400
coolingdirect liquid
vram gb288
fp4 tflops20100
fp6 tflops20100
fp8 tflops10100
process nm3
fp16 tflops5000
fp64 tflops78.6
memory typeHBM3E
compute units256
memory bandwidth gbps8000

AMD Instinct MI355X 288GB — Frequently Asked Questions

What is the AMD Instinct MI355X 288GB best used for?
AMD Instinct MI355X 288GB is positioned as a 288 GB VRAM CDNA 4-family graphics card. Use it for high-end 4K gaming and local LLM inference. See the synthetic + AI benchmark tables below for measured performance.
When was the AMD Instinct MI355X 288GB released, and what was its launch MSRP?
AMD Instinct MI355X 288GB was released in 2025. MSRP isn't on file; current street prices are visible in the Amazon listings linked below.
Where do the benchmark numbers on this page come from?
Synthetic benchmarks are scraped from public databases (TechPowerUp, PassMark, Geekbench Browser, Cinebench leaderboards). AI inference numbers come from the LocalLLaMA community (Reddit threads, llama.cpp / Ollama discussion logs, and Phoronix when available). Every benchmark row carries an inline source citation — click through to verify the original number.
Can the AMD Instinct MI355X 288GB run local LLMs?
Yes — AMD Instinct MI355X 288GB has 12 AI inference benchmarks on file (see the AI Inference Performance section above for model + tokens-per-second numbers). With 288 GB VRAM, it fits the popular 32B-parameter open-weight models at Q4 quantization comfortably.
Where can I buy the AMD Instinct MI355X 288GB?
Active Amazon listings aren't on file for this exact SKU yet. See the linked benchmark sources and the Compare tool for adjacent parts that may be in stock — and check the /benchmarks index for the latest curated picks in this category.

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