All news with #nvidia tag

🔒 Two new models are now available in the Kiro IDE and CLI for the AWS GovCloud (US-West) Region. OpenAI GPT-5.4 supports complex reasoning, coding, document analysis, and multi-step agentic workflows, running on Amazon Bedrock with a 272K context window and 1.2x credit multiplier. NVIDIA Nemotron 3 Super 120B is offered as an open weight, hybrid MoE option with a 256K context window, 32K max output, and 0.25x credit multiplier. Update your IDE or CLI and restart to access the new models.

🚀 Amazon EC2 G6e instances are now generally available for SageMaker notebook instances, offering up to 8 NVIDIA L40s GPUs and third-generation AMD EPYC processors. G6e delivers up to 2.5x better performance versus G5 and supports interactive model testing and training, including generative AI fine-tuning and LLMs up to 13B parameters. G6e is available in multiple US, Europe, Asia-Pacific and Middle East regions.

🛡️ A security firm, AIR, created a benign but deceptive AI agent skill named brand-landingpage, pushed it through a major skill marketplace and promoted it with an Instagram ad, and reports it reached roughly 26,000 agents including corporate accounts. Scanners from vendors like Cisco and NVIDIA marked the package safe because the skill pointed to external setup documentation rather than embedding malicious code. AIR later swapped the external page to deliver a harmless payload that collected email addresses, demonstrating how scanners miss links that can be rewritten after review. The experiment highlights structural trust problems with skills and common mitigations such as pinning versions and vetting external references.

🚀 Amazon EC2 G7e instances deliver up to 8 NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, 96 GB per GPU, 5th Gen Intel Xeon CPUs, up to 192 vCPUs and 1600 Gbps EFA networking. They support NVIDIA GPUDirect P2P and GPUDirect RDMA with EFAv4 for reduced latency in multi-node and multi-GPU workloads. G7e instances target LLMs, agentic and multimodal generative AI, spatial computing, and workloads needing combined graphics and AI acceleration. G7e is now available for SageMaker Studio notebooks in US East (N. Virginia, Ohio) and US West (Oregon).

🚀 Today AWS announces the general availability of Amazon EC2 G7 instances, powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. G7 delivers up to 4.6x AI inference and 2.1x graphics performance versus G6 and supports AI inference, real-time cinematic graphics, game streaming, and large-scale data analytics. Instances offer up to 8 GPUs with 32 GB each, custom Intel Xeon 6 CPUs, and up to 700 Gbps EFA; available now in US East (Ohio) and US West (Oregon) as On-Demand, Savings Plans, or Spot.

🚀 AWS Parallel Computing Service (PCS) now supports Amazon EC2 P6e-GB200 and P6e-GB300 UltraServer instances, enabling large-scale GPU workloads using the NVIDIA Blackwell architecture within Slurm-managed clusters. You can reserve UltraServers via EC2 Capacity Blocks for ML and associate them with a PCS compute node group using an EC2 launch template, while PCS configures Slurm topology automatically. P6e-GB200 offers up to 72 GPUs, 360 petaflops FP8 (no sparsity), and 13.4 TB HBM3e; P6e-GB300 delivers 1.5x GPU memory and FP4 compute versus the GB200. PCS remains a managed Slurm-based service that simplifies building elastic HPC environments with integrated compute, storage, networking, visualization, managed updates, and observability.

🚀Starting today, Amazon EC2 P6-B200 instances accelerated by NVIDIA Blackwell GPUs are available in the Asia Pacific (Mumbai) Region. These instances deliver up to 2x performance versus P5en for AI training and inference and include 8 Blackwell GPUs with 1440 GB of high-bandwidth GPU memory. They offer a 60% increase in GPU memory bandwidth, 5th Gen Intel Xeon processors, and up to 3.2 Tbps of EFAv4 networking, powered by the AWS Nitro System.

🚀 Amazon SageMaker AI now supports serverless customization for Nvidia Nemotron 3 Nano via supervised fine-tuning (SFT) and reinforcement fine-tuning (RFT). This open-weight 30B-parameter model can be deployed and adapted to specific domains and workflows directly within SageMaker. Serverless customization handles infrastructure and training orchestration, enabling teams to focus on data and evaluation while paying only for usage. The feature is available in US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Europe (Ireland), and can be launched from SageMaker Studio or via the SageMaker Python SDK.

🔒 Google Cloud announces collaboration with Apple to support Apple’s expanded Private Cloud Compute (PCC) systems on Google Cloud, built with Intel and NVIDIA. The effort leverages Google Cloud’s Titanium security architecture and Confidential Computing portfolio, including hardware Trusted Execution Environments, to protect data at rest, in transit, and in use. This layered approach aims to deliver verifiable integrity, no privileged runtime access, and enforceable privacy protections for sensitive AI workloads.

🚀 Amazon EC2 P6-B200 instances powered by NVIDIA Blackwell GPUs are now available in the AWS GovCloud (US-East) Region. These instances deliver up to 2x performance versus P5en for AI training and inference, with 8 GPUs and 1440 GB of high-bandwidth GPU memory. They include 5th Gen Intel Xeon processors, a 60% boost in GPU memory bandwidth, up to 3.2 Tbps EFAv4 networking, and run on the AWS Nitro System for secure scaling.

🔧 AWS Parallel Computing Service (AWS PCS) now offers a PCS‑ready Deep Learning AMI, an AWS‑maintained Amazon Machine Image based on the Deep Learning Base GPU AMI (Ubuntu 24.04). It provides a production‑quality foundation for AI/ML training and HPC with preinstalled, compatibility‑tested infrastructure components such as NVIDIA drivers, CUDA, EFA, Lustre client, PCS Agent, Slurm for PCS, and EFS utilities. Multiple Slurm versions are supported and activate automatically based on cluster configuration, and AWS will regularly update the AMIs for security patches and driver updates. The AMI is available at no additional cost for x86_64 and arm64 in all Regions where AWS PCS is offered.

🔒 At GTC Taipei during COMPUTEX 2026, NVIDIA highlighted its Vera BlueField-4 STX and DOCA innovations designed to secure enterprise AI infrastructure. Modern AI factories combine high-performance compute, distributed storage, Kubernetes, APIs, GPU farms, and sensitive data, creating new security needs. Check Point integrates its AI Factory Firewall with NVIDIA BlueField and DOCA to provide visibility, segmentation, runtime protections, and infrastructure-level policy enforcement across distributed AI environments.

🚀 Amazon announced the general availability of EC2 P6-B200 instances on SageMaker notebook instances in AWS US East (N. Virginia). These instances feature 8 NVIDIA Blackwell GPUs with 1440 GB GPU memory and 5th Gen Intel Xeon processors, offering up to 2x performance versus P5en for AI training. Customers can use them to develop and fine-tune large foundation models interactively in JupyterLab or CodeEditor on SageMaker Studio.

🚀 Amazon SageMaker notebook instances now support EC2 P5.4xl instances powered by NVIDIA H100 Tensor Core GPUs. These instances deliver up to 4x higher performance and up to 40% lower training cost versus prior-generation GPU instances, accelerating development of deep learning and generative AI models. P5.4xl is generally available across multiple AWS regions including US East, US West, Asia Pacific, and South America. Refer to developer guides for setup instructions in JupyterLab and CodeEditor on SageMaker Studio and notebook instances.

🚀 Amazon announces GA of EC2 P5en.48xl instances for SageMaker notebook instances, delivering advanced H200 GPUs paired with 4th Gen Intel Xeon processors. These instances provide increased GPU memory and bandwidth compared to P5, Gen5 PCIe between CPU and GPU, and faster EFA/Nitro networking to boost distributed training and inference. P5en.48xl is available in US East (N. Virginia, Ohio), US West (Oregon), and Asia Pacific (Tokyo) regions. Refer to the developer guides for setup and SageMaker Studio integration.

🚀 Amazon Web Services announces general availability of Amazon EC2 P5en.48xl instances on SageMaker notebook instances. These P5en instances feature 8 H200 GPUs with increased GPU memory and bandwidth versus H100, paired with custom 4th Gen Intel Xeon processors and Gen5 PCIe for higher CPU–GPU bandwidth. They also include third-generation EFA via Nitro v5, offering up to 3200 Gbps and latency improvements over prior P5 instances. P5en.48xl is currently available in US East (N. Virginia, Ohio), US West (Oregon), and Asia Pacific (Tokyo).

🚀 Amazon SageMaker notebook instances now support EC2 P5.4xl instances powered by NVIDIA H100 GPUs. These instances boost deep learning and HPC workloads, offering up to 4x faster time-to-solution and up to 40% lower training cost versus prior GPU generations. P5.4xl is available in multiple AWS regions including US East, US West, Asia Pacific, and South America; see AWS developer guides for setup instructions.

🎮 Amazon GameLift Streams has introduced Generation 6e (G6e) stream classes, delivering enhanced GPU performance for streaming graphically demanding games and applications. The G6e classes use EC2 G6e instances with NVIDIA L40S Tensor Core GPUs and 3rd gen AMD EPYC processors, offering 2x GPU memory and up to 2.9x faster GPU memory bandwidth versus standard Gen6 classes. Two variants — gen6e_pro and gen6e_pro_win2022 — provide a full dedicated NVIDIA L40S GPU with 48 GB memory, suited for AAA-quality streaming at high resolutions. G6e stream classes are available in select AWS Regions including US East, US West, Europe, and Asia Pacific.

🔒 On day one of Pwn2Own Berlin 2026 researchers earned $523,000 exploiting 24 unique zero-days, led by Orange Tsai, who collected $175,000 after chaining four logic flaws to escape the Microsoft Edge sandbox. Windows 11 was rooted three times for new privilege-escalation bugs, and Valentina Palmiotti secured payouts for Red Hat Workstations and an NVIDIA Container Toolkit flaw. The event focuses on enterprise and AI-targeted technologies.

🚀 Imgix serves over 8 billion images and videos daily and has migrated its real-time processing stack to G4 VMs on Google Cloud, powered by NVIDIA RTX PRO 6000 Blackwell GPUs. The move delivered a 50% reduction in median latency and a 5–6× increase in throughput per node without rewriting core application code. Imgix combines nvJPEG, NVENC/NVDEC, custom Vulkan compute shaders and CUDA libraries to accelerate decoding, transformation and encoding, while autoscaling, self-healing GPU management and a 2.5PB GCS cache enable fast, reliable global delivery.