The auto-updated technology brief
NVIDIA CUDA 13.3 introduces tile programming in C++, compiler autotuning, and Python updates to improve GPU development performance and portability.
NVIDIA CompileIQ addresses the challenge of finding optimal compiler options to enhance performance for specific workloads, helping teams further optimize GPU-based LLM inference pipelines beyond traditional tuning methods.
NVIDIA introduces CUDA Tile programming to enable developers to create highly optimized GPU kernels within large existing C++ GPU codebases using tile-based programming techniques.
AWS Transform – continuous modernization (preview) automatically scans code repositories to detect, prioritize, and remediate technical debt at scale, enabling continuous autonomous modernization and integration with security workflows.
AWS DevOps Agent now offers release management capability in preview, reviewing code changes for release readiness and running autonomous release testing to help you ship code to production safely and with confidence.
AWS launches AWS Lambda MicroVMs, providing VM-level isolated sandboxes with rapid launch, state preservation, and lifecycle control without infrastructure management.
AWS Security Agent now adds STRIDE-based threat modeling, full repo and PR code scanning with remediation across major Git platforms, and IDE integrations via Kiro power, Claude Code plugin, and MCP — letting developers run security reviews and fix issues without context switching.
AWS Summit NYC showcased new AI agent launches including Amazon Quick, AWS Continuum security, DevOps tools, and Amazon Bedrock AgentCore updates. AWS launched a Local Zone in Hanoi, Grok 4.3 model on Bedrock, Amazon S3 annotations, faster ECS scaling, and EC2 G7 instances with NVIDIA RTX PRO 4500 GPUs. Price reductions include Amazon S3 Vectors and AWS Marketplace fees.
The NVIDIA CUDA Core Compute Libraries (CCCL) provide efficient and user-friendly abstractions for CUDA developers using C++ and Python, enhancing parallel computing capabilities.
NVIDIA expands Unreal Engine 5 integration with new tools for building on-device AI characters using the ACE Game Agent SDK and RTX technologies.
NVIDIA discusses how shaders use resource binding to access GPU resources and introduces end-to-end support for Vulkan descriptor heaps to streamline this process.
This article explains how kernel fusion in NVIDIA CUDA can improve GPU performance by enhancing memory bandwidth utilization and reducing kernel launch overhead, providing practical ways to apply these optimizations in CUDA code.