The auto-updated technology brief
Mixture-of-experts (MoE) models enable larger AI model capacity by activating only a subset of parameters per token. NVIDIA explores advanced fusion kernels to improve MoE training throughput for large-scale AI systems.
NVIDIA introduces a method to bridge the gap between training and deployment of autonomous vehicle models using closed-loop post-training with their Alpamayo platform, improving vision-language-action models for complex driving scenes.
NVIDIA leads in agentic coding performance on the industry's first multi-vendor AI agent benchmark, Artificial Analysis AgentPerf, which profiles real-world AI coding tasks.
Foundation models pretrained on large protein and genomic sequence datasets, such as ESM2 and Evo 2, enable diverse computational biology tasks. NVIDIA BioNeMo recipes facilitate efficient fine-tuning of these models using LoRA.
Transformer architectures power many large language and generative AI models. As these models grow, training demands increase GPU resources and engineering time. Optimizing transformers for low-precision training accelerates development and reduces costs.
NVIDIA introduces MiniMax M3, a multimodal AI system on NVIDIA accelerated infrastructure including NVIDIA Blackwell, enabling long-context reasoning and simplifying enterprise AI workflows.
NVIDIA introduces Nemotron 3 Ultra, enhancing efficiency and reasoning capabilities for long-running AI agents managing complex workflows with growing token counts.
AI agents are evolving beyond chat to perform complex tasks in enterprises, requiring secure and governed environments to protect sensitive data and ensure safe operation.
Amazon Bedrock's new Fully Managed Knowledge Bases simplifies building enterprise RAG pipelines by providing native data connectors, Smart Parsing for automatic multi-format data preparation, and an Agentic Retriever for complex multi-step queries—all integrated with AgentCore Gateway so developers can focus on business outcomes rather than infrastructure management.
AWS unveiled new AI agent capabilities, security tools, hardware upgrades, and mobile apps at the 2026 New York Summit.
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 Certificate Manager now supports the ACME protocol for public TLS certificates, enabling automated issuance and renewal through any ACMEv2-compatible client on any workload. Administrators get centralized governance, IAM-based access controls, and domain scoping, reducing operational risk as certificate lifetimes shorten.