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AMD / discrete

AMD Instinct MI455X

432 GB decides what fits. 23300 GB/s decides how fast it runs once it does.

Open in the calculator →

Quick answer
The AMD Instinct MI455X fits 297 of 320 sized models entirely in its 432 GB; the largest widely used one is DeepSeek-V3.2 (422.2 GB at Q4_K_M). Memory decides what fits; its 23300 GB/s of bandwidth decides how fast it answers.

At 8,192 tokens of context with the whole model in device memory. Speeds are estimates from memory bandwidth, not benchmarks run on this card.

AMD Instinct MI455X · 432 GB · 23300 GB/s · Q4_K_M where published · 8,192 tokensSpecificationpublished dataDecode speedestimate

297 of 320 fit entirely

297 of the 320 models the engine can size fit entirely in device memory at Q4_K_M where it is published, otherwise the nearest published format, and 8,192 tokens. 6 run with some layers on system memory (32 GB assumed), and 17 do not run at all.

93%of the models the engine can size fit entirely
432GB of device memory
23300GB/s memory bandwidth
6run with system memory
17do not run at 8,192 tokens

Featured models · Q4_K_M at 8,192 tokens, including offload

ModelNeedsVerdictDecodeCalculator
Qwen3.5-2B2.3B parameters2.32 GBfits~14717 tok/sOpen →
NVIDIA-Nemotron-3-Nano-4B-BF164.0B parameters3.46 GBfits~6819 tok/sOpen →
Qwen3-VL-8B-Instruct8.8B parameters7.04 GBfits~3084 tok/sOpen →
Qwen3.5-9B9.7B parameters7.05 GBfits~3735 tok/sOpen →
gemma-4-12B-it12B parameters9.54 GBfits~2221 tok/sOpen →
gpt-oss-20b21B parameters13.8 GBfits~7258 tok/sOpen →
Qwen3.8-27B28B parameters18.6 GBfits~1226 tok/sOpen →
Qwen3.6-27B28B parameters18.6 GBfits~1226 tok/sOpen →
Kimi-Linear-48B-A3B-Instruct49B parameters30.4 GBfits~9710 tok/sOpen →
Qwen3.8-Flash-Next180B parameters111.6 GBfits~5046 tok/sOpen →
DeepSeek-V4-Flash-Vision-Exp305B parameters188.1 GBfits~1612 tok/sOpen →
GLM-5.3-Flash321B parameters198.3 GBfits~1921 tok/sOpen →

These examples are selected from prominent labs using the catalogue’s latest Hugging Face 30-day downloads and repository-creation freshness signal, with newer releases guaranteed a place. Offloaded rows assume 32 GB of system RAM, and a speed is only shown for a row that runs. Fitting in memory is not the same as loading: whether the runtime and version you have supports each architecture and format on this machine has not been tested here. Each “Open” link carries the same model, format, context and RAM into the calculator.

Fits entirely in AMD Instinct MI455X memory — 297 of 320 sized models

Every model that fitswhole model resident · offload off

The most demanding model that fits is DeepSeek-V3.2-Exp at Q4_K_M: 422.3 GB of the 432 GB, leaving 9.75 GB spare.

Fully resident at 8,192 tokens (or the model’s own maximum, where that is shorter), offload off, at 23300 GB/s. Each row is a run of the engine for this configuration; the rows start with current, prominent releases and “fits” is memory, not a tested runtime. Older or less prominent models remain available through this search and “Show all”.

Showing 40 of 297 models that fit.

ModelFormatNeedsSpareDecodeDownloads / 30dCalculator
GLM-5.3-FlashNEWzai-org · 321B paramsQ4_K_M198.3 GB233.7 GB~1921 tok/s5.4MOpen →
Qwen3.8-27BQwen · 28B paramsQ4_K_M18.6 GB413.4 GB~1226 tok/s6.9MOpen →
DeepSeek-V4-Flash-0731DeepSeek · 304B paramsQ4_K_M187.5 GB244.5 GB~1612 tok/s4.5MOpen →
Qwen3.8-Flash-NextNEWQwen · 180B paramsQ4_K_M111.6 GB320.4 GB~5046 tok/s1.4MOpen →
gemma-4-26B-A4B-itGoogle · 26B paramsQ4_K_M16.8 GB415.2 GB~6818 tok/s13MOpen →
DeepSeek-V4-Flash-Vision-ExpNEWDeepSeek · 305B paramsQ4_K_M188.1 GB243.9 GB~1612 tok/s915.3KOpen →
gemma-4-31B-itGoogle · 31B paramsQ4_K_M22.2 GB409.8 GB~882 tok/s9.9MOpen →
Qwen3.5-9BQwen · 9.7B paramsQ4_K_M7.05 GB425.0 GB~3735 tok/s9MOpen →
Qwen3.5-4BQwen · 4.7B paramsQ4_K_M3.98 GB428.0 GB~6721 tok/s7.8MOpen →
Qwen3.6-35B-A3BQwen · 36B paramsQ4_K_M23.1 GB408.9 GB~9791 tok/s3.3MOpen →
gemma-4-12B-itGoogle · 12B paramsQ4_K_M9.54 GB422.5 GB~2221 tok/s1.9MOpen →
Inkling-Smallthinkingmachines · 266B paramsQ4_K_M165.5 GB266.5 GB~2549 tok/s657.4KOpen →
Qwen3.6-27BQwen · 28B paramsQ4_K_M18.6 GB413.4 GB~1226 tok/s2.5MOpen →
Qwen3.5-2BQwen · 2.3B paramsQ4_K_M2.32 GB429.7 GB~14717 tok/s4.9MOpen →
gemma-4-E4B-itGoogle · 8.0B paramsQ4_K_M5.86 GB426.1 GB~6001 tok/s4.4MOpen →
NVIDIA-Nemotron-3.5-Lightning-30B-A3B-BF16NVIDIA · 32B paramsQ4_K_M20.3 GB411.7 GB~931 tok/s530KOpen →
NVIDIA-Nemotron-3-Nano-4B-BF16NVIDIA · 4.0B paramsQ4_K_M3.46 GB428.5 GB~6819 tok/s3.4MOpen →
gemma-4-E2B-itGoogle · 5.1B paramsQ4_K_M4.02 GB428.0 GB~15853 tok/s3MOpen →
Qwen3.5-0.8BQwen · 873M paramsQ4_K_M1.46 GB430.5 GB~32240 tok/s2.6MOpen →
DeepSeek-V4-FlashDeepSeek · 284B paramsQ4_K_M175.9 GB256.1 GB~1612 tok/s1.1MOpen →
Qwen3-VL-8B-InstructQwen · 8.8B paramsQ4_K_M7.04 GB425.0 GB~3084 tok/s14.6MOpen →
MiniMax-M2.7MiniMaxAI · 229B paramsQ4_K_M141.2 GB290.8 GB~2113 tok/s1.1MOpen →
Qwen3.5-27BQwen · 28B paramsQ4_K_M18.6 GB413.4 GB~1226 tok/s1.9MOpen →
North-Micro-Vision-InstructCohereLabs · 2.5B paramsQ4_K_M2.99 GB429.0 GB~9678 tok/s180.7KOpen →
Hy3Tencent · 299B paramsQ4_K_M181.2 GB250.8 GB~1286 tok/s304.9KOpen →
Qwen3.5-35B-A3BQwen · 36B paramsQ4_K_M23.1 GB408.9 GB~9791 tok/s1.6MOpen →
NVIDIA-Nemotron-3-Super-120B-A12B-BF16NVIDIA · 124B paramsQ4_K_M76.9 GB355.1 GB~238 tok/s1.2MOpen →
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16NVIDIA · 561B paramsQ4_K_M345.4 GB86.6 GB~53 tok/s358KOpen →
granite-4.2-8bIBM · 8.8B paramsQ4_K_M7.49 GB424.5 GB~2809 tok/s128.4KOpen →
DeepSeek-V3.2DeepSeek · 685B paramsQ4_K_M422.2 GB9.77 GB~842 tok/s3.6MOpen →
GLM-4.7-Flashzai-org · 31B paramsQ4_K_M20.4 GB411.6 GB~925 tok/s1.8MOpen →
granite-4.1-3bIBM · 3.4B paramsQ4_K_M3.72 GB428.3 GB~6554 tok/s521.8KOpen →
LFM2.5-2.6BLiquidAI · 2.7B paramsQ4_K_M2.61 GB429.4 GB~10511 tok/s108.1KOpen →
MiMo-V2.6-Flash-RLNEWXiaomiMiMo · 309B paramsQ4_K_M192.2 GB239.8 GB~1872 tok/s48.6KOpen →
MiniMax-M3MiniMaxAI · 427B paramsQ4_K_M264.0 GB168.0 GB~1125 tok/s177.2KOpen →
MiMo-V2.5XiaomiMiMo · 311B paramsQ4_K_M192.2 GB239.8 GB~1872 tok/s245.2KOpen →
Qwen3-VL-4B-InstructQwen · 4.4B paramsQ4_K_M4.72 GB427.3 GB~4902 tok/s3.5MOpen →
granite-4.1-30bIBM · 29B paramsQ4_K_M20.4 GB411.6 GB~924 tok/s301.5KOpen →
Qwen3.5-122B-A10BQwen · 125B paramsQ4_K_M77.9 GB354.1 GB~3584 tok/s512.6KOpen →
Qwen3-VL-2B-InstructQwen · 2.1B paramsQ4_K_M3.05 GB429.0 GB~8885 tok/s2.8MOpen →

Sized at the format most people actually download, not at FP16. The catalogue ordered by downloads →

Under the hood

The specification behind every figure

What the manufacturer publishes for this device, and the pages it was read from.

Manufacturer specification

Memory scopededicated
Capacity432 GB
Published options432 GB
Bandwidth23300 GB/s
Memory typeHBM4
Bus widthNot published
FP32 peak315 TFLOPS
Dense matrix peak5000 TFLOPS (FP16 Matrix, dense)
PowerNot published

Source ledger

AMD Instinct MI455X GPUs ↗
Retrieved 2026-09-13

Caveats

  • Per-module figures for an Enhanced Accelerator Module (EAM) that AMD sells for its Helios rack; the rack's aggregate memory is not used as a device. AMD lists a launch date of 7/23/2026; that is not a statement of retail availability.
  • AMD's page publishes no board power for this module, so none is recorded and no energy figure is computed.
  • AMD publishes no memory interface width for this part, so none is recorded.
  • The FP16 matrix figure is the dense one; AMD's separate "with Structured Sparsity" row (10.1 PFLOPs) is not used.

Published capacity is a hardware ceiling, not guaranteed free runtime memory. The calculator shows the runtime reserve separately rather than folding it into a single number.

Run the diagnostic on the AMD Instinct MI455X →
llmbottleneck
catalogue 2026-10-03models 327devices 135