🎮 GPU Scheduling - sobeston

👻Spectre Blog

runaihome.com··DEV

(PR) NextSilicon to Productize Arbel RISC-V Core Into 64-Core Enterprise Processor for AI and HPC

🚀High Performance

techpowerup.com·

Release TorchCodec 0.14: HDR Video Decoding for CPU & CUDA, and Fast Wav Decoder · meta-pytorch/torchcodec

🔷SPIR-V Code

github.com··Hacker News

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

⚙️Incremental Compilation Academic

arxiv.org·

NVIDIA Nsight Compute

⚙️Kernel Dev

developer.nvidia.com·

How Airbus’ supercomputers are driving the future of design

🚀High Performance News

breakingtravelnews.com·

Core Automation co-founder Jerry Tworek jokes that Nvidia's CUDA translates to miracles in Polish

⚙️Kernel Dev

digg.com·

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

🎮GPU Memory Blog

jimmysong.io·

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

🗃️FlexAlloc

phoronix.com·

Exploiting GPU Tensor Cores from Java using Babylon [Juan Fumero]

🔬CPU Microarchitecture

openjdk.org··r/java

Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026

🚀High Performance

semiengineering.com·

Less-relevant results

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

📈Tail Latency

smolhub.com··r/LocalLLaMA

New comment by bhvk08 in "Ask HN: Who wants to be hired? (June 2026)"

🗄️Databases Discussion

news.ycombinator.com··Hacker News

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

⚙️FPGA Trading News

newsletter.semianalysis.com

··Hacker News

Nvidia RTX Spark: The $2,900 Floor Tells You Everything

🎮GPU Memory Blog Discussion

tildalice.io·

From the microscope to High Performance Computing centers, a national effort toward automated data workflows for microscopy facility users in France

🚀High Performance Academic

arxiv.org·

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

⚙️Kernel Dev Code

github.com··Hacker News

HydraMPP: A lightweight library for distributed massive parallel processing in Python - threading at scale.

🚀High Performance Academic

biorxiv.org·

Microsoft's Surface Laptop Ultra Announced! #shorts

🎮GPU Memory Video

youtube.com·

CUDA-Oxide 0.2 Brings Early Improvements To Pure Rust CUDA Kernels

Framework Desktop AMD 395+ (rdna 3.5) cannot run confyui err Fix 2026

(PR) NextSilicon to Productize Arbel RISC-V Core Into 64-Core Enterprise Processor for AI and HPC

Release TorchCodec 0.14: HDR Video Decoding for CPU & CUDA, and Fast Wav Decoder · meta-pytorch/torchcodec

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

NVIDIA Nsight Compute

How Airbus’ supercomputers are driving the future of design

Core Automation co-founder Jerry Tworek jokes that Nvidia's CUDA translates to miracles in Polish

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

Exploiting GPU Tensor Cores from Java using Babylon [Juan Fumero]

Packaging Technologies Redefine AI And HPC Scalability Limits At ECTC 2026

1-bit and 1.58 bit LLM Benchmarking on Jetson Orin Nano Super | Bonsai LM

New comment by bhvk08 in "Ask HN: Who wants to be hired? (June 2026)"

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

Nvidia RTX Spark: The $2,900 Floor Tells You Everything

From the microscope to High Performance Computing centers, a national effort toward automated data workflows for microscopy facility users in France

RightNow-AI/AutoMegaKernel: An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode.

HydraMPP: A lightweight library for distributed massive parallel processing in Python - threading at scale.

Microsoft's Surface Laptop Ultra Announced! #shorts