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AMD MI355X vs NVIDIA H200

Compare published specifications with current rental availability.

Differences are derived only from verified memory, bandwidth, power, form factor, precision support, software ecosystem and real inventory.

FieldAMD Instinct MI355X 288GBNVIDIA H200 SXM 141GB
VendorAMDNVIDIA
Exact SKUMI355XH200 SXM
ArchitectureCDNA 4Hopper
GenerationInstinctHopper
CategoryData centerData center
LifecycleCurrentCurrent
VRAM288 GB141 GB
Memory technologyHBM3EHBM3e
Bandwidth8,000 GB/s4,800 GB/s
Power1400 W700 W
InterfaceAMD platform interfacePCIe Gen5 host interface
Form factorAMD · Accelerator · ModuleSXM · Module
InterconnectInfinity FabricNVLink
MIG / partitioningNot listed as supportedSupported
Numeric precision formatsFP64, FP32, BF16, FP16, FP8, FP6, FP4, INT8FP64, FP32, TF32, BF16, FP16, FP8, INT8
Runtime ecosystemrocm, vllmcuda, vllm, sglang, tensorrt-llm
Rental availabilityReference onlyLimited capacity
Monthly rental priceReference onlyUSD 2,345

Verified differences

  • AMD Instinct MI355X 288GB has the most VRAM in this selection.
  • AMD Instinct MI355X 288GB has the highest recorded memory bandwidth.
  • NVIDIA H200 SXM 141GB has the lowest published power value.

Architecture differences

Source-verified facts: AMD Instinct MI355X 288GB: CDNA 4 / Instinct / AMD · Accelerator · Module · NVIDIA H200 SXM 141GB: Hopper / Hopper / SXM · Module

VRAM and memory requirements

Source-verified facts: AMD Instinct MI355X 288GB: 288 GB / HBM3E / 8,000 GB/s · NVIDIA H200 SXM 141GB: 141 GB / HBM3e / 4,800 GB/s

Power and cooling

Source-verified facts: AMD Instinct MI355X 288GB: 1400 W / AMD · Accelerator · Module · NVIDIA H200 SXM 141GB: 700 W / SXM · Module

AI precision support

Source-verified facts: AMD Instinct MI355X 288GB: FP64, FP32, BF16, FP16, FP8, FP6, FP4, INT8 · NVIDIA H200 SXM 141GB: FP64, FP32, TF32, BF16, FP16, FP8, INT8

Interface and interconnect

Source-verified facts: AMD Instinct MI355X 288GB: AMD platform interface / Infinity Fabric · NVIDIA H200 SXM 141GB: PCIe Gen5 host interface / NVLink

Multi-GPU considerations

Large variants may require tensor parallelism or multiple nodes. Validate total resident weights, runtime support, interconnect, topology and headroom before choosing a GPU count.

Model and workload fit

Model fit depends on exact checkpoint precision, runtime support, memory headroom and topology. Reference compatibility does not imply FusionPointAI rental inventory.

Rental availability

Source-verified facts: AMD Instinct MI355X 288GB: Reference only · NVIDIA H200 SXM 141GB: Limited capacity / USD 2,345 / month

Official sources

Last verified: 2026-08-25