DEPLOYDatabase

Chip comparison

AMD Instinct MI350 series vs NVIDIA Jetson AGX Thor

Side-by-side specs

Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.

FieldAMD Instinct MI350 seriesNVIDIA Jetson AGX Thor
Process nodeTSMC N3 (chiplet)TSMC 4NP
TDP1000 W130 W
Memory288 GB HBM3e128 GB LPDDR5X
Memory bandwidth8,000 GB/s273 GB/s
FP16 (dense)2,300 TFLOPS
BF16 (dense)2,300 TFLOPS
FP8 (dense)4,600 TFLOPS2,070 TFLOPS
INT8 (dense)4,600 TOPS2,070 TOPS
Form factorOAMModule (AGX Thor)
Announced2025-06-122024-03-18
Released2025-10-012025-08-01

Robots running AMD Instinct MI350 series

No robots publicly running it yet.

Robots running NVIDIA Jetson AGX Thor

Data centers with AMD Instinct MI350 series

Data centers with NVIDIA Jetson AGX Thor

No data centers publicly running it yet.

Common questions

AMD Instinct MI350 series vs NVIDIA Jetson AGX Thor: which is faster for training?

AMD Instinct MI350 series has 2.22x the dense FP8 throughput of the other (AMD Instinct MI350 series: 4,600 TFLOPS; NVIDIA Jetson AGX Thor: 2,070 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.

AMD Instinct MI350 series vs NVIDIA Jetson AGX Thor: which has more memory?

AMD Instinct MI350 series carries more HBM (AMD Instinct MI350 series: 288 GB HBM3e; NVIDIA Jetson AGX Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.

AMD Instinct MI350 series vs NVIDIA Jetson AGX Thor: which is more power-efficient?

Dense FP8 TFLOPS per watt: AMD Instinct MI350 series 4.60 (4,600 ÷ 1000 W); NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.

AMD Instinct MI350 series vs NVIDIA Jetson AGX Thor: which is more widely used?

AMD Instinct MI350 series: 0 robots and 1 data center publicly running it. NVIDIA Jetson AGX Thor: 11 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.

See also: every chip comparison · AMD Instinct MI350 series full page · NVIDIA Jetson AGX Thor full page.