MulticoreWare has achieved ISO 9001:2015 and ISO/IEC 27001:2022 certifications, reinforcing our commitment to quality management, continuous improvement, and robust information security practices.
Know more: https://t.co/2Ud0HfiAeD
#MulticoreWare#ISO9001#ISO27001
MulticoreWare built an AI cloud for a Japan-based neocloud provider, enabling LLM inference & fine-tuning across NVIDIA GPUs and Tenstorrent Galaxy via a unified OpenAI-compatible API.
#MulticoreWare#AI#GenAI#LLM
AI-powered ECG analysis in under a millisecond right on the device.
MulticoreWare deployed a compact CNN for ECG arrhythmia classification on BrainChip’s Akida neuromorphic processor, enabling low-power, on-device inference without cloud connectivity.
#EdgeAI#MulticoreWare#ECG
Motion Estimation remains one of the key computational bottlenecks in x265 encoding, and its parallelism has traditionally been limited by CTU dependencies.
Read More: https://t.co/7zoymWC1uc
#x265#VideoEncoding#HEVC#MulticoreWare
MulticoreWare and Micware Co., Ltd. have signed a Memorandum of Understanding (“MOU”) to explore potential collaboration on next-generation artificial intelligence (“AI”) solutions.
Read the press release: https://t.co/AzTkc3ZZqf
MulticoreWare has acquired Simulus Automation, combining hardware expertise in SoC/FPGA design verification with high-performance AI software capabilities.
Read the full press release: https://t.co/zdB1tLHrQP
#MulticoreWare#SimulusAutomation#Semiconductor
The Countdown to IBC 2026 Has Begun!
Get ready to explore MulticoreWare’s latest innovations in Video, XR & Spatial Audio at this year’s IBC Show.
Schedule a Meeting: https://t.co/LeAa3szlzD
#IBC2026#Video#XR#Spatialaudio#codecs#MulticoreWare
Making Radar-Based Vital Sign Monitoring More Reliable at the Edge. Radar-based vital sign monitoring can be challenging in dynamic environments.
Know more: https://t.co/Hna1r9Fbhb
#Radar#VitalSignMonitoring#EdgeAI#DSP#InCabinMonitoring
MulticoreWare is excited to announce the latest upgrade to x265 - v4.3, packed with new performance enhancements, expanded architecture support, and advanced encoding capabilities.
know more: https://t.co/ZOufDKPMb8
#x265#HEVC#encoding#highperformance#MulticoreWare
Linux graphics on a GPU virtualization platform is no small feat.
MulticoreWare delivered production-ready Vulkan-based Linux graphics integration, unlocking new deployment possibilities.
Read the case study: https://t.co/UP7R1SW4kQ
#Vulkan#GPUVirtualization#MulticoreWare
MulticoreWare optimized a spatial audio pipeline on the Cadence HiFi 4 DSP, achieving up to 20× performance improvement with ~3 ms latency.
🔹 ~17K compute cycles
🔹 ~5% DSP utilization
🔹 ~95% DSP headroom
Read the case study: https://t.co/wEdi0MD7dA
#SpatialAudio#DSP#XR
MulticoreWare and AMD are collaborating to advance Physical AI on AMD-powered platforms, helping developers bring advanced perception, reasoning, and action capabilities to robots, autonomous systems, and intelligent edge devices.
Know more: https://t.co/cEzhFEnxC9
Benchmark smarter with MulticoreWare.
From industry benchmarks to compiler optimization and CPU, GPU, NPU & DSP tuning, we maximize compute performance across architectures.
Learn more: https://t.co/mPOIeu0WNj
#Benchmarking#Performance#Compute#CPU#GPU#NPU#MulticoreWare
Traditional gait analysis is expensive. What if a single camera could deliver clinically relevant insights?
Learn how MulticoreWare's AI-powered monocular video pipeline makes gait analysis more accessible and scalable.
Read more: https://t.co/2CUqjRcA8g
Rising video delivery costs and bandwidth constraints?
With Ultraziq, you can:
✔ Boost encoding throughput
✔ Support more channels
✔ Cut compute costs
🎁 Free 6-month trial for the first 100.
Learn more: https://t.co/DxyQKNsTBT
#VideoTech#Encoding#StreamingTech
MulticoreWare stepped in to bridge the gap by rearchitecting the client stack, resolving deep-rooted compatibility issues, and building a cross-compilation pipeline that made ARM a first-class citizen alongside x86.
Know more: https://t.co/v6bgavrjkc
How small can AI get?
Small enough to run on a microcontroller (MCU) with a few hundred kilobytes of memory, it turns out.
We explored what it really takes to pull this off: https://t.co/lTLOOIptWf
#EdgeAI#TinyML#EmbeddedAI#CortexM#MCU#AIoT