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AI Hardwares

AI chips

Top10 AI Chip Makers

Tesla

AI5

特斯拉 AI5 / HW5 下代 FSD 晶片號稱運算性能達 2,000~2,500TOPS（每秒兆次操作），是現款 HW4（約 500TOPS）晶片五倍，可支援更複雜的無監督 FSD 演算法。輝達 RTX5080 和 RTX5090（分別約為 1,500 美元和 3,000 美元）運算性能為 1,800TOPS 和 3,400TOPS。

Tesla Hardware 4 (AI4) – Full Details and Latest News

Hardware 3 (AI3) – FSD Computer

Tesla’s Hardware & E/E Architecture

Nvidia

Nvidia Draws GPU System Roadmap Out To 2028

Analysis of NVIDIA’s Latest Hardware: B100/B200/GH200/NVL72/SuperPod

DGX-Spark

Nvidia GB10 Grace Blackwell Superchip單系統晶片。GB10包含具第5代Tensor Cores及FP4精度支援的Nvidia Blackwell GPU，使DGX具備128GB記憶體，並支援最高1000 TOPS

ASUS Ascent GX10

GIGABYTE AI TOP ATOM

Geforce RTX 50 series

AMD Instinct™ MI355X GPUs

Built on the 4th Gen AMD CDNA™ architecture, AMD Instinct™ MI355X GPUs deliver leadership AI and HPC performance enabling high density infrastructures with 288GB HBM3E memory, 8TB/s bandwidth, and expanded FP6 and FP4 datatype support.

AMD 7 GHz Zen 6 Clock Speed Target “Confirmed” – Leaker Claims

Intel Gaudi 3

Intel® Gaudi® 3 AI Accelerators on IBM Cloud

Groq LPU

Google TPU v6e

Edge AI

Nvidia Jetson

Jetson Thor

Introducing NVIDIA Jetson Thor, the Ultimate Platform for Physical AI

NVIDIA Jetson Orin Nano Developer Kit Gets a “Super” Boost

NVIDIA® Jetson Orin Nano™ Super 入門套件包

RPi 5 + Hailo-8L

  • Hailo-8L (13 TOPs)
  • Broadcom BCM2712 2.4GHz quad-core 64-bit Arm Cortex-A76 CPU, with Cryptographic Extension, 512KB per-core L2 caches, and a 2MB shared L3 cache

MediaTek

天璣9500
天璣9400+

Kinara

Ara-2
Kinara Ara-2 AI processor (40 TOPS)

耐能 Kneron KL730 AI Soc

  • Quad ARM® Cortex™ A55 CPU。
  • 內建DSP，可以加速AI模型後處理，語音處理。
  • Linux和RTOS、TSMC 12 納米工藝。
  • 高達4K@60fps解析度，與主流感測器的無縫 RGB Bayer 接口，多達4通道影像接口。
  • 高達3.6eTOPS@int8 / 7.2eTops@int4。
  • 支持Cafee、Tensorflow、Tensorflowlite、Pytorch、Keras、ONNX框架。
  • 并兼容CNN、Transformer、RNN Hybrid等多種AI模型， 有更高的處理效率和精度。

堪智 Kendryte

K230

  • CPU : 1.6GHz & 0.8GHz Dual-core 64-bit RISC-V
  • VPU: H.264/H.265 encoding/decoding up to
  • Memory & Storage: 32-bit LPDDR4/DDR4/LPDDR3/DDR3, SD3.01, eMMC 5.0.
  • Display Output: 1-lane MIPI DSI, max @ 60fps.
  • 3D Depth Engine (DPU): Up to resolution.
  • Peripherals: 2x USB 2.0 OTG, 5x UART, 5x I2C, 6x PWM, 4-ch PDM (digital mic).

K210

  • CPU : 400MHz Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU
  • SRAM: 8MB Total On-Chip SRAM (6MB General Purpose + 2MB AI SRAM)
  • NPU : 0.6TOPS
  • APU : Supports Microphone Array (up to 8 microphones)

  • STMicro STM32N6

  • Cortex-M55 @800MHz
  • Neural-ART1 (1~5 TOPS)
  • Neural-ART2 (20~40 TOPS)

Infineon PSOC Edge

  • Cortex-M55 + Helium DSP @500MHz
  • Cortex-M33 @200MHz
  • NNLite + Ethos™ U55-128 (4 TOPS)
  • SRAM up to 5/6MB
  • 2.5D GPU, MIPI-DSI/DBI
  • USB, 10/100 Ethernet, CAN, SPI, UART, I2C
  • Security: EPC/PSA 2 and 4

Realtek AMB82-MINI

  • MCU
    • Part Number: RTL8735B
    • 32-bit Arm v8M, up to 500MHz
  • MEMORY
    • 768KB ROM
    • 512KB RAM
    • 16MB Flash
    • Supports MCM embedded DDR2/DDR3L memory up to 128MB
  • KEY FEATURES
    • Integrated 802.11 a/b/g/n Wi-Fi, 2.4GHz/5GHz
    • Bluetooth Low Energy (BLE) 5.1
    • Integrated Intelligent Engine (0.4 TOPS)

Nuvoton M55M1

  • Cortex-M55 + Ethos U55 @220MHz (0.11 TOPS)

Himax WiseEye 2 AI Processor (WE2)

  • Cortex-M55 + Ethos-U55 @400MHz (0.05 TOPS)
  • Internal 2MB SRAMs and 512KB TCM
  • External 100MHz QSPI Flash, Max 16MB(128Mb)

Agent Harewares comparison

RPi5 vs RPi4

項目 Raspberry Pi 5 Raspberry Pi 4 Model B 差異重點
🧠 CPU 四核 2.4 GHz Cortex-A76 四核 1.8 GHz Cortex-A72 🚀 約 2–3× 效能提升
🎮 GPU VideoCore VII @ 1.1 GHz VideoCore VI @ 800 MHz 🎨 圖形效能更強
🧮 RAM 4GB / 8GB LPDDR4X-4267 2GB / 4GB / 8GB LPDDR4-3200 ⚡ 記憶體頻寬更高
🖥 顯示輸出 雙 micro-HDMI（雙 4Kp60） 雙 micro-HDMI（單 4Kp60） 🖥️ 多螢幕能力提升
📷 相機 / DSI 2 × 4-lane MIPI 1 × 2-lane CSI + 1 × DSI 📸 支援雙鏡頭
💾 PCIe 1 × PCIe 2.0 ❌ 無 🚀 可接 NVMe / SSD
🔌 USB 2× USB3 + 2× USB2 2× USB3 + 2× USB2 ➖ 相同
🔋 電源 5V / 5A USB-C PD 5V / 3A USB-C ⚠️ Pi 5 需更高功率
⭐ 新功能 電源按鈕、RTC 無 👍 使用更方便
🔧 I/O 架構 RP1 I/O 控制器 SoC 內建 I/O 📈 I/O 效能更佳

Mac mini-M4 OrinNano-Super vs K230

Feature NVIDIA Jetson Orin Nano Super Kendryte K230 (CanMV / 01Studio)
🎯 Primary Focus High-performance Edge AI / Generative AI Ultra-low-power Vision / Audio AI
🧠 AI Performance Up to 67 TOPS (INT8) ~6 TOPS (INT8)
🏗 Architecture ARM Cortex-A78AE + Ampere GPU Dual-core RISC-V (C908 + C908V)
💻 CPU 1.7GHz 6-core ARM Cortex-A78AE 1.6 GHz RISC-V + 800 MHz RISC-V
🎮 GPU 1024-core NVIDIA Ampere GPU ❌ None (vector processing only)
🧮 RAM 8 GB LPDDR5 512 MB – 1 GB LPDDR3/4
💾 Storage M.2 NVMe SSD (PCIe) microSD Card
🔋 Power Budget 7W – 25W (configurable) Very low (battery-friendly)
🧰 Software Stack JetPack SDK, CUDA, TensorRT CanMV (MicroPython), RT-Smart
💵 Price ~$249 USD (Dev Kit) ~$25 – $55 USD

Mac M4 Pro vs Jetson Orin 64GB

Feature Apple M4 Pro (20-core GPU) Jetson AGX Orin 64GB
GPU Architecture Custom Apple GPU architecture NVIDIA Ampere architecture
GPU Cores 20 GPU cores (~2,560 shading units est.) 2,048 CUDA cores + 64 Tensor Cores
GPU Clock Speed Up to ~1.8 GHz Up to ~1.3 GHz
Memory Unified memory up to 64 GB, 273 GB/s bandwidth 64 GB LPDDR5, 204.8 GB/s bandwidth
AI Performance Not publicly specified (16-core Neural Engine) Up to 275 TOPS (INT8)
Ray Tracing Hardware-accelerated ray tracing Hardware ray-tracing support
Manufacturing Process 3 nm 8 nm
Power Consumption ~32 W (estimated) Configurable 15 W – 60 W



This site was last updated March 06, 2026.

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