Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

#M5StackNew 🎉 LLM‑8850 Card — an ultra‑compact M.2 M‑Key 2242 AI accelerator card designed for edge devices It packs the Axera AX8850 SoC delivering 24 TOPS @ INT8 performance into a tiny 42 mm form factor, enabling plug-and-play multimodal large model and video analysis acceleration for host devices such...

M5Stack's profile picture

M5Stack

39,315 subscribers

12,485 görüntüleme • 1 yıl önce •via X (Twitter)

#M5StackNew
LIVE

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

#M5StackNew 🎉AI Pyramid & AI Pyramid-Pro Released AI Pyramid & AI Pyramid-Pro are pyramid-shaped high-performance AI PCs purpose-built for local AI inference and edge intelligence deployments. Powered by the #Axera AX8850 SoC, they effortlessly handle complex workloads including visual recognition, multimodal interaction, and on‑device large language model inference, compatible with #Immich (AI local photo album), #Frigate (AI smart security), local Home Assistant and #AIGC deployment. ✨Features ✅Axera AX8850 SoC, 24 TOPS @ INT8 ✅4GB (2+2) High‑Bandwidth Memory (8GB for the pro version): 64‑bit LPDDR4x, 4266 Mbps ✅2× HDMI 2.0 digital A/V output ports(1× output + 1× input for the pro version), 4K@60fps supported ✅Hardware Video Engine: 8K @ 30 fps H.264/H.265 encoding & decoding, 16‑channel 1080p parallel decoding supported ✅Native AXCL Support: One‑click deployment for #CNN、#Transformer、#CLIP、#Whisper、#Llama 3.2、#Qwen3、#InternVL3 and other models; H.264/H.265 simultaneous encode/decode/transcode enabled 🛒 Get Yours: 🔹AI Pyramid: Shopify: AliExpress: 🔹AI Pyramid-Pro: Shopify: AliExpress: #M5Stack #M5StackNew #AI #EdgeAI #AIPC #IoT #Hardware #Makers #SmartHome #Axera #Llama3 #DeepLearning
1:55

#M5StackNew 🎉AI Pyramid & AI Pyramid-Pro Released AI Pyramid & AI Pyramid-Pro are pyramid-shaped high-performance AI PCs purpose-built for local AI inference and edge intelligence deployments. Powered by the #Axera AX8850 SoC, they effortlessly handle complex workloads including visual recognition, multimodal interaction, and on‑device large language model inference, compatible with #Immich (AI local photo album), #Frigate (AI smart security), local Home Assistant and #AIGC deployment. ✨Features ✅Axera AX8850 SoC, 24 TOPS @ INT8 ✅4GB (2+2) High‑Bandwidth Memory (8GB for the pro version): 64‑bit LPDDR4x, 4266 Mbps ✅2× HDMI 2.0 digital A/V output ports(1× output + 1× input for the pro version), 4K@60fps supported ✅Hardware Video Engine: 8K @ 30 fps H.264/H.265 encoding & decoding, 16‑channel 1080p parallel decoding supported ✅Native AXCL Support: One‑click deployment for #CNN、#Transformer、#CLIP、#Whisper、#Llama 3.2、#Qwen3、#InternVL3 and other models; H.264/H.265 simultaneous encode/decode/transcode enabled 🛒 Get Yours: 🔹AI Pyramid: Shopify: AliExpress: 🔹AI Pyramid-Pro: Shopify: AliExpress: #M5Stack #M5StackNew #AI #EdgeAI #AIPC #IoT #Hardware #Makers #SmartHome #Axera #Llama3 #DeepLearning

M5Stack

21,084 görüntüleme • 7 ay önce

#M5StackNew 🎉Tab5 Keyboard Tab5 Keyboard is a 70-key physical keyboard input expansion module designed specifically for Tab5. It connects directly to the host via Tab5 Ext.Port1, enabling a plug-and-play input experience. ✅ Uses STM32F030C8T6 as the main control chip, designed for Tab5, plug and play via direct connection to the expansion port ✅ 14 x 5 matrix, supports multiple simultaneous key presses ✅ Three operating modes (Normal, HID, and Character) to meet diverse requirements ✅ I2C communication with low-latency reporting through an interrupt pin ✅ Onboard dual RGB LEDs for colorful status indication 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #Tab5 #Keyboard #IoT #Hardware #Makers #HumanComputerInteraction #TextInput #PortableDevices
1:07

#M5StackNew 🎉Tab5 Keyboard Tab5 Keyboard is a 70-key physical keyboard input expansion module designed specifically for Tab5. It connects directly to the host via Tab5 Ext.Port1, enabling a plug-and-play input experience. ✅ Uses STM32F030C8T6 as the main control chip, designed for Tab5, plug and play via direct connection to the expansion port ✅ 14 x 5 matrix, supports multiple simultaneous key presses ✅ Three operating modes (Normal, HID, and Character) to meet diverse requirements ✅ I2C communication with low-latency reporting through an interrupt pin ✅ Onboard dual RGB LEDs for colorful status indication 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #Tab5 #Keyboard #IoT #Hardware #Makers #HumanComputerInteraction #TextInput #PortableDevices

M5Stack

21,340 görüntüleme • 4 ay önce

#M5StackNew 🎉 Stamp UWB & Stamp UWB F Released Stamp UWB & Stamp UWB F are ultra-compact embedded UWB ranging modules. ✨Features ✅Integrated QM33120W UWB transceiver with enhanced secure Time-of-Flight mode and integrated AES-256 ✅Supports UWB Channel 9, IEEE 802.15.4-2020 / IEEE 802.15.4z-2020 BPRF ✅Supports TWR and TDoA positioning solutions ✅Supports 850 kbps / 6.81 Mbps wireless communication data rates * A 0.5mm-12P FPC connector is pre-soldered on the back of the module, allowing external connection through a 0.5mm-12P FPC cable. 🛒 Get Yours: Stamp UWB: Shopify: AliExpress: Stamp UWB F: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #UWB #Hardware #Makers
0:52

#M5StackNew 🎉 Stamp UWB & Stamp UWB F Released Stamp UWB & Stamp UWB F are ultra-compact embedded UWB ranging modules. ✨Features ✅Integrated QM33120W UWB transceiver with enhanced secure Time-of-Flight mode and integrated AES-256 ✅Supports UWB Channel 9, IEEE 802.15.4-2020 / IEEE 802.15.4z-2020 BPRF ✅Supports TWR and TDoA positioning solutions ✅Supports 850 kbps / 6.81 Mbps wireless communication data rates * A 0.5mm-12P FPC connector is pre-soldered on the back of the module, allowing external connection through a 0.5mm-12P FPC cable. 🛒 Get Yours: Stamp UWB: Shopify: AliExpress: Stamp UWB F: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #UWB #Hardware #Makers

M5Stack

72,895 görüntüleme • 1 ay önce

#M5StackNew 🎉 StopWatch StopWatch is a portable AMOLED round touch development board designed for interactive and wearable scenarios, integrating display, touch, audio and motion sensing into one compact device. ✨Features ✅ ESP32-S3R8 core controller with 16MB Flash, 8MB PSRAM, and 2.4GHz Wi-Fi ✅ 1.75" AMOLED Touch Round Display, 2 x Programmable Buttons, 1 x Power Button ✅ Built-in Vibration Motor, 6-axis IMU BMI270, RX8130CE RTC ✅ ES8311 Audio Codec, MEMS MIC, AW8737A Amplifier for audio input and output ✅ HY2.0-4P Expansion Interface, M5PM1 Multi-level Power Management System, Built-in 450mAh Battery 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #ESP32S3 #AMOLED #WearableTech #Embedded #HMI #TouchDisplay #SmartDevices
1:55

#M5StackNew 🎉 StopWatch StopWatch is a portable AMOLED round touch development board designed for interactive and wearable scenarios, integrating display, touch, audio and motion sensing into one compact device. ✨Features ✅ ESP32-S3R8 core controller with 16MB Flash, 8MB PSRAM, and 2.4GHz Wi-Fi ✅ 1.75" AMOLED Touch Round Display, 2 x Programmable Buttons, 1 x Power Button ✅ Built-in Vibration Motor, 6-axis IMU BMI270, RX8130CE RTC ✅ ES8311 Audio Codec, MEMS MIC, AW8737A Amplifier for audio input and output ✅ HY2.0-4P Expansion Interface, M5PM1 Multi-level Power Management System, Built-in 450mAh Battery 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #ESP32S3 #AMOLED #WearableTech #Embedded #HMI #TouchDisplay #SmartDevices

M5Stack

36,617 görüntüleme • 4 ay önce

#NewArrivals: 🎉 LLM Module, which features the #AX630C processor with a 3.2TOPs@Int8 high-efficiency NPU, is available for sales now! ✅ Get Yours from M5 website: ✅ AliExpress:
2:08

#NewArrivals: 🎉 LLM Module, which features the #AX630C processor with a 3.2TOPs@Int8 high-efficiency NPU, is available for sales now! ✅ Get Yours from M5 website: ✅ AliExpress:

M5Stack

22,407 görüntüleme • 1 yıl önce

#M5StackNew 🎉 PaperColor PaperColor is a development board featuring a 4-inch E Ink Spectra 6 full-color e-paper display with a resolution of 400x600, offering both low power consumption and high visibility. ✨Features ✅ESP32-S3R8 Core: 16MB Flash + 8MB PSRAM, 2.4 GHz Wi-Fi ✅ES8311 Audio Codec, 1W Speaker + MEMS Microphone ✅Built-in 1250mAh Battery, microSD Card Slot ✅Infrared Emitter, 2x RGB LED, RX8130CE Real-Time Clock ✅Onboard SHT40 Temperature & Humidity Sensor 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #PaperColor #ESP32S3 #EInk #EPaper #SmartDisplay #EmbeddedSystems #Makers
0:50

#M5StackNew 🎉 PaperColor PaperColor is a development board featuring a 4-inch E Ink Spectra 6 full-color e-paper display with a resolution of 400x600, offering both low power consumption and high visibility. ✨Features ✅ESP32-S3R8 Core: 16MB Flash + 8MB PSRAM, 2.4 GHz Wi-Fi ✅ES8311 Audio Codec, 1W Speaker + MEMS Microphone ✅Built-in 1250mAh Battery, microSD Card Slot ✅Infrared Emitter, 2x RGB LED, RX8130CE Real-Time Clock ✅Onboard SHT40 Temperature & Humidity Sensor 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #IoT #PaperColor #ESP32S3 #EInk #EPaper #SmartDisplay #EmbeddedSystems #Makers

M5Stack

46,211 görüntüleme • 4 ay önce

#M5StackNew 🎉 Unit C6L — a highly‑integrated LoRa communication unit with Stamp C6LoRa module, powered by #Espressif ESP32‑C6 and Semtech Corporation SX1262 LoRa transceiver. ✅ Supports Meshtastic or custom development for private LoRa networks ✅ Supports 868 ~ 923 MHz LoRa & 2.4 GHz Wi‑Fi 6 ✅ Built‑in 0.66" OLED display, programmable RGB LED, buzzer & user button ✅ Integrated overvoltage protection chip for stability 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #LoRa #ESP32C6 #SX1262 #Meshtastic #IoT #Hardware #EdgeConnectivity #Wireless #MakerGear #OutdoorComms #Espressif #Semtech
0:35

#M5StackNew 🎉 Unit C6L — a highly‑integrated LoRa communication unit with Stamp C6LoRa module, powered by #Espressif ESP32‑C6 and Semtech Corporation SX1262 LoRa transceiver. ✅ Supports Meshtastic or custom development for private LoRa networks ✅ Supports 868 ~ 923 MHz LoRa & 2.4 GHz Wi‑Fi 6 ✅ Built‑in 0.66" OLED display, programmable RGB LED, buzzer & user button ✅ Integrated overvoltage protection chip for stability 🛒 Get Yours: Shopify: AliExpress: #M5Stack #M5StackNew #LoRa #ESP32C6 #SX1262 #Meshtastic #IoT #Hardware #EdgeConnectivity #Wireless #MakerGear #OutdoorComms #Espressif #Semtech

M5Stack

14,071 görüntüleme • 11 ay önce

🎉 StackChan Quick Start StackChan is a super kawaii AI desktop robot co-created by M5Stack and the user community. It uses the M5Stack CoreS3 as its main controller, powered by an ESP32-S3 SoC featuring a 240 MHz dual-core processor, with 16MB Flash and 8MB PSRAM onboard, and supporting Wi-Fi and BLE. ✨Features ✅Based on the CoreS3 main unit ✅USB-C interface for power and data, 550 mAh battery ✅Two feedback servos (360-degree continuous rotation on the horizontal axis and 90-degree movement on the vertical axis) ✅Two rows totaling 12 RGB LEDs, Full-featured NFC ✅Infrared transmitter and receiver, Top-mounted three-zone touch panel * StackChan Remote Controller Kit has an additional remote controller (assembled from a Hat Mini JoyC and StickC-Plus) compared to StackChan. 🛒 Get Yours: Shopify: StackChan: StackChan Remote Controller Kit: AliExpress: #M5Stack #M5StackNew #StackChan #IoT #DesktopRobot #ESP32 #Makers #SmartDevice
5:58

🎉 StackChan Quick Start StackChan is a super kawaii AI desktop robot co-created by M5Stack and the user community. It uses the M5Stack CoreS3 as its main controller, powered by an ESP32-S3 SoC featuring a 240 MHz dual-core processor, with 16MB Flash and 8MB PSRAM onboard, and supporting Wi-Fi and BLE. ✨Features ✅Based on the CoreS3 main unit ✅USB-C interface for power and data, 550 mAh battery ✅Two feedback servos (360-degree continuous rotation on the horizontal axis and 90-degree movement on the vertical axis) ✅Two rows totaling 12 RGB LEDs, Full-featured NFC ✅Infrared transmitter and receiver, Top-mounted three-zone touch panel * StackChan Remote Controller Kit has an additional remote controller (assembled from a Hat Mini JoyC and StickC-Plus) compared to StackChan. 🛒 Get Yours: Shopify: StackChan: StackChan Remote Controller Kit: AliExpress: #M5Stack #M5StackNew #StackChan #IoT #DesktopRobot #ESP32 #Makers #SmartDevice

M5Stack

55,624 görüntüleme • 4 ay önce

#M5StackNew 🎉 PaperMono & PaperMono-Lite Released PaperMono is an e-paper development board designed for low-power display, near-field identification, and long-range communication applications. PaperMono-Lite is a streamlined version of PaperMono. ✨Features ✅ESP32-S3R8 core controller, 16MB Flash, 8MB PSRAM, 2.4 GHz Wi-Fi ✅3.97-inch 4-level grayscale black-and-white e-paper display with touch support ✅Integrated front-light system, RGB LED & built-in 1150mAh battery ✅PDM microphone (LMD4737T261-AC02) & built-in buzzer ✅BMI270 6-axis IMU, M5IOE1 IO expander, microSD card slot, RX8130CE RTC ✅NFC functionality & LoRa communication supporting 868MHz ~ 923MHz (PaperMono Only) 🛒 Get Yours: Official Store: PaperMono: PaperMono-Lite: AliExpress: #M5Stack #PaperMono #EInk #Dashboard #LowPower #IoT #Maker #NFC #LoRa
1:31

#M5StackNew 🎉 PaperMono & PaperMono-Lite Released PaperMono is an e-paper development board designed for low-power display, near-field identification, and long-range communication applications. PaperMono-Lite is a streamlined version of PaperMono. ✨Features ✅ESP32-S3R8 core controller, 16MB Flash, 8MB PSRAM, 2.4 GHz Wi-Fi ✅3.97-inch 4-level grayscale black-and-white e-paper display with touch support ✅Integrated front-light system, RGB LED & built-in 1150mAh battery ✅PDM microphone (LMD4737T261-AC02) & built-in buzzer ✅BMI270 6-axis IMU, M5IOE1 IO expander, microSD card slot, RX8130CE RTC ✅NFC functionality & LoRa communication supporting 868MHz ~ 923MHz (PaperMono Only) 🛒 Get Yours: Official Store: PaperMono: PaperMono-Lite: AliExpress: #M5Stack #PaperMono #EInk #Dashboard #LowPower #IoT #Maker #NFC #LoRa

M5Stack

57,659 görüntüleme • 1 ay önce

#M5StackNew 🎉 Faces Bottom3, Keyboard3, Gamepad3 & Calculator3 Released The new Faces Series includes Faces Bottom3, Calculator3, Gamepad3 and Keyboard3 panels, allowing freely match them to expand the capabilities and usage scenarios of M5Stack Core controllers. ✨ Features ✅ Faces Bottom3 is compatible with Core1, Core2, CoreS3, and more ✅ Built-in 600mAh rechargeable lithium battery, rear magnetic Pogo Pin charging contacts ✅ Independent battery power switch controlling battery power usage ✅ LED IO selector switch for compatibility with different hosts ✅ Keyboard3, Gamepad3, and Calculator3 panels for different applications 🛒 Get Yours: Official Store: Faces Bottom3: ⌨ Faces Keyboard3: 🎮 Faces Gamepad3: 🧮 Faces Calculator3: AliExpress: Faces Bottom3: ⌨ Faces Keyboard3: #M5Stack #Faces #Gamepad3 #Calculator3 #Keyboard3 #Bottom3 #ModularDesign
1:56

#M5StackNew 🎉 Faces Bottom3, Keyboard3, Gamepad3 & Calculator3 Released The new Faces Series includes Faces Bottom3, Calculator3, Gamepad3 and Keyboard3 panels, allowing freely match them to expand the capabilities and usage scenarios of M5Stack Core controllers. ✨ Features ✅ Faces Bottom3 is compatible with Core1, Core2, CoreS3, and more ✅ Built-in 600mAh rechargeable lithium battery, rear magnetic Pogo Pin charging contacts ✅ Independent battery power switch controlling battery power usage ✅ LED IO selector switch for compatibility with different hosts ✅ Keyboard3, Gamepad3, and Calculator3 panels for different applications 🛒 Get Yours: Official Store: Faces Bottom3: ⌨ Faces Keyboard3: 🎮 Faces Gamepad3: 🧮 Faces Calculator3: AliExpress: Faces Bottom3: ⌨ Faces Keyboard3: #M5Stack #Faces #Gamepad3 #Calculator3 #Keyboard3 #Bottom3 #ModularDesign

M5Stack

17,019 görüntüleme • 22 gün önce

CardputerZero, your all-in-one pocket Raspberry Pi computer is here 💻🔧 · Powered by CM0, Credit-Card Size · All-in-One: Screen, Keyboard, Battery & Audio · Standard Linux I/O,Grove & Advanced I/O Ports · Works with 100+ M5 Modules 👉 Back us on Kickstarter:
1:30

CardputerZero, your all-in-one pocket Raspberry Pi computer is here 💻🔧 · Powered by CM0, Credit-Card Size · All-in-One: Screen, Keyboard, Battery & Audio · Standard Linux I/O,Grove & Advanced I/O Ports · Works with 100+ M5 Modules 👉 Back us on Kickstarter:

M5Stack

31,233 görüntüleme • 4 ay önce

Build it, mount it, carry it. CardputerZero features four LEGO-compatible holes, M2 screw mounts, and a lanyard hole, making it easy to fit into more projects and everyday setups. 🔗 Back CardputerZero on Kickstarter: #M5Stack #CardputerZero #Kickstarter #RaspberryPi #Linux #LEGO
0:23

Build it, mount it, carry it. CardputerZero features four LEGO-compatible holes, M2 screw mounts, and a lanyard hole, making it easy to fit into more projects and everyday setups. 🔗 Back CardputerZero on Kickstarter: #M5Stack #CardputerZero #Kickstarter #RaspberryPi #Linux #LEGO

M5Stack

10,802 görüntüleme • 3 ay önce

After 8+ years on the Tesla Autopilot team and 3 years at Intel, I started Apex Compute to design a new architecture for efficient AI inference. For the past 9 months, we’ve been building our custom inference accelerator. Today we’re releasing Unified Engine v1. Last June we raised our seed round with Maxitech , DeepFin Research, Soma Capital and an incredible group of angel investors. In less than 9 months, we completed our RTL architecture and brought our first pre-silicon prototype to life on FPGA. Our architecture combines systolic array and vector processing in a single compute engine with multiple architectural optimizations, achieving very high FLOPs utilization. A single engine is super lean and it uses less than 90K LUTs and 1 MB Block RAM. It may also be one of the smallest logic-footprint compute engines developed so far. Our Unified Engine v1 supports: -matrix-matrix multiplication (~95% FLOPs utilization) -softmax (~90% FLOPs utilization) -broadcast and element-wise operations -RMSNorm / LayerNorm -block quantization/dequantization (fp4, int4) -multi-engine synchronization and many other operations. We even implemented memory-efficient attention similar to FlashAttention, reaching ~90% FLOP utilization. Full benchmarks and the software stack are available on our GitHub: We have basic compiler written in Python and it supports PyTorch tensors directly to easily test and transfer tensors between the accelerator and host using bf16, fp4 and int4 formats. Our FPGA prototype can already run LLM inference and outperform NVIDIA Jetson Orin Nano, even on a mid-tier FPGA setup (6.4x lower memory bandwidth, 18% slower clock speed at 4.5 Watts). Check the side-by-side comparison video below. Our GitHub includes low-level operator implementations, examples for tiled matrix multiplication, operation chaining, tensor parallelism, attention kernel and a full Gemma 3 1B model implementation. Many more models(Vision Transformers and VLA) are coming soon. Our accelerator IP is AXI-ready for deployment on any AMD(Xilinx) FPGA platform today. Even better, our two-engine prototype runs on an entry-level AMD(Xilinx) FPGA as a PCIe accelerator card. You can purchase it here for $50 to experiment our pre-silicon prototype on your desktop PC or Raspberry Pi 5. We will be releasing hardware bitstream updates as the architecture gets new features. More to come soon! We are expanding our team and looking for compiler engineers and floating-point hardware design engineers. If you're interested, please send me a DM.
1:17

After 8+ years on the Tesla Autopilot team and 3 years at Intel, I started Apex Compute to design a new architecture for efficient AI inference. For the past 9 months, we’ve been building our custom inference accelerator. Today we’re releasing Unified Engine v1. Last June we raised our seed round with Maxitech , DeepFin Research, Soma Capital and an incredible group of angel investors. In less than 9 months, we completed our RTL architecture and brought our first pre-silicon prototype to life on FPGA. Our architecture combines systolic array and vector processing in a single compute engine with multiple architectural optimizations, achieving very high FLOPs utilization. A single engine is super lean and it uses less than 90K LUTs and 1 MB Block RAM. It may also be one of the smallest logic-footprint compute engines developed so far. Our Unified Engine v1 supports: -matrix-matrix multiplication (~95% FLOPs utilization) -softmax (~90% FLOPs utilization) -broadcast and element-wise operations -RMSNorm / LayerNorm -block quantization/dequantization (fp4, int4) -multi-engine synchronization and many other operations. We even implemented memory-efficient attention similar to FlashAttention, reaching ~90% FLOP utilization. Full benchmarks and the software stack are available on our GitHub: We have basic compiler written in Python and it supports PyTorch tensors directly to easily test and transfer tensors between the accelerator and host using bf16, fp4 and int4 formats. Our FPGA prototype can already run LLM inference and outperform NVIDIA Jetson Orin Nano, even on a mid-tier FPGA setup (6.4x lower memory bandwidth, 18% slower clock speed at 4.5 Watts). Check the side-by-side comparison video below. Our GitHub includes low-level operator implementations, examples for tiled matrix multiplication, operation chaining, tensor parallelism, attention kernel and a full Gemma 3 1B model implementation. Many more models(Vision Transformers and VLA) are coming soon. Our accelerator IP is AXI-ready for deployment on any AMD(Xilinx) FPGA platform today. Even better, our two-engine prototype runs on an entry-level AMD(Xilinx) FPGA as a PCIe accelerator card. You can purchase it here for $50 to experiment our pre-silicon prototype on your desktop PC or Raspberry Pi 5. We will be releasing hardware bitstream updates as the architecture gets new features. More to come soon! We are expanding our team and looking for compiler engineers and floating-point hardware design engineers. If you're interested, please send me a DM.

Hasan

37,748 görüntüleme • 6 ay önce

👀 Sneak peek at Tab5: 5" Smart Terminal with ESP32-P4 Tab5 packs the new ESP32-P4 RISC-V chip into a sleek, modular touchscreen device. Build for power, design to integrate. 🔥 📌 Available starting May 9 — stay tuned! #M5Stack #Tab5 #ESP32P4 #IoT #SmartTerminal
0:30

👀 Sneak peek at Tab5: 5" Smart Terminal with ESP32-P4 Tab5 packs the new ESP32-P4 RISC-V chip into a sleek, modular touchscreen device. Build for power, design to integrate. 🔥 📌 Available starting May 9 — stay tuned! #M5Stack #Tab5 #ESP32P4 #IoT #SmartTerminal

M5Stack

13,241 görüntüleme • 1 yıl önce

PaperMono vs PaperMono-Lite PaperMono and PaperMono-Lite deliver the same intuitive touch e-paper experience—ideal for reading, dashboards, and more. PaperMono features built-in NFC and LoRa, while PaperMono-Lite delivers the essential touch e-paper experience. #M5Stack #PaperMono #PaperMonoLite #EPaper #LoRa #NFC #IoT
0:29

PaperMono vs PaperMono-Lite PaperMono and PaperMono-Lite deliver the same intuitive touch e-paper experience—ideal for reading, dashboards, and more. PaperMono features built-in NFC and LoRa, while PaperMono-Lite delivers the essential touch e-paper experience. #M5Stack #PaperMono #PaperMonoLite #EPaper #LoRa #NFC #IoT

M5Stack

12,994 görüntüleme • 1 ay önce

🎬 M5Stack Global Innovation Contest 2025 Review We’ve compiled last year’s winning projects into one highlight video packed with creativity, innovation, and maker spirit. Ready for the next challenge? 📅 M5Stack Global Innovation Contest 2026 will start on May 11, 2026. Stay tuned! 🔍 More details: #M5Stack #MakerProjects #M5StackInnovationContest #ESP32 #IoT
5:00

🎬 M5Stack Global Innovation Contest 2025 Review We’ve compiled last year’s winning projects into one highlight video packed with creativity, innovation, and maker spirit. Ready for the next challenge? 📅 M5Stack Global Innovation Contest 2026 will start on May 11, 2026. Stay tuned! 🔍 More details: #M5Stack #MakerProjects #M5StackInnovationContest #ESP32 #IoT

M5Stack

12,120 görüntüleme • 4 ay önce

Boot Logo for CardputerZero
0:41

Boot Logo for CardputerZero

M5Stack

10,510 görüntüleme • 4 ay önce

Unboxing PaperMono Meet PaperMono. Let’s take a closer look. #M5Stack #PaperMono #EInk #LowPower #IoT #Maker
0:46

Unboxing PaperMono Meet PaperMono. Let’s take a closer look. #M5Stack #PaperMono #EInk #LowPower #IoT #Maker

M5Stack

35,837 görüntüleme • 1 ay önce

M5Stack: The Art of Modularity Complexity simplified. One ecosystem. Infinite combinations. We build the tools; you define the possibilities. System-Level Modularity. Less Setup, More Creation. 🛠🚀 #M5Stack #IoT #EmbeddedSystems #Engineering #ESP32
1:26

M5Stack: The Art of Modularity Complexity simplified. One ecosystem. Infinite combinations. We build the tools; you define the possibilities. System-Level Modularity. Less Setup, More Creation. 🛠🚀 #M5Stack #IoT #EmbeddedSystems #Engineering #ESP32

M5Stack

19,169 görüntüleme • 8 ay önce