AWS Graviton5 R9g instances launch with 35% faster web application execution
AWS has launched its new R9g and R9gd memory-optimized instances powered by Graviton5 processors. These instances are designed for data-intensive workloads, offering significant improvements in compute performance, machine learning inference, and database processing speeds compared to previous generations.
Key Takeaways
- R9g and R9gd instances feature DDR5 8800 memory supporting 8,800 megatransfers per second.
- Compute performance increases by 25% while machine learning inference speeds improve by 35%.
- Network bandwidth reaches 100 Gbps with support for reallocating 25% of capacity between EBS and VPC networking.
- The R9gd variant includes up to 11.4 terabytes of local NVMe SSD storage for low-latency caching.
- Instances scale up to metal-48xl configurations featuring 192 virtual CPUs and 1,536 GiB of memory.
Why It Matters
The launch of these memory-optimized instances provides streaming platforms with a more efficient path for scaling real-time data services like Redis and Valkey. By increasing packet-processing performance three-fold, AWS reduces the idle time for high-throughput microservices that power modern video discovery and recommendation engines. This architectural shift allows engineering teams to handle larger metadata workloads and containerized Kubernetes clusters with lower latency. As streaming providers face rising infrastructure costs, the improved price-performance ratio of custom silicon becomes a critical lever for maintaining margins. Watch for adoption rates among major SVOD providers currently utilizing Amazon EKS to see if these performance gains translate to significant cloud cost reduction efforts.
Additional Context
Nokia has emerged as the most aggressive vendor in the agentic AI space for telecom operations, stacking partnerships and product launches at a rapid pace through mid-2026. At DTW Ignite in Copenhagen, Nokia teamed up with Google Cloud to build six specialized AI agents using Gemini technology capable of triaging network issues, recommending remediation steps, and reducing problem-solving times by 50% to 80%. The company plans to launch its agentic platform in Google Cloud Marketplace in September, with a router agent and event triage agent available first via Nokia Assurance Center, followed by four additional agents on a rolling basis. Nokia VP Rodrigo Brito indicated the company has "plenty of other" agents in its pipeline beyond the initial six, including topology experts and security agents. On the business and architecture side, Nokia is assembling a multi-layer autonomous network stack through its Autonomous Network Fabric. Nokia announced work with AWS and Databricks to build the data, cloud, and control layers for autonomous networks, positioning the fabric as an operating system spanning radio, core, transport, and service domains. The Databricks partnership addresses fragmented telco data silos with a unified lakehouse platform, while the AWS integration hosts the fabric in a scalable cloud environment using Amazon Bedrock and SageMaker. Nokia claims its autonomous networks portfolio is already delivering automation rates above 90%, service delivery times under four hours, and up to 85% reduction in slice rollout time. Meanwhile, Ericsson and Nokia are diverging sharply on AI-RAN architecture, with Nokia committing its entire Layer 1 RAN to run on Nvidia GPUs via CUDA following Nvidia's $1 billion investment, while Ericsson limits GPU usage to forward error correction functions only. The competitive intensity around agentic AI in telecom reached a visible inflection point in June 2026. Ericsson launched its AI in RAN commercial software subscription on June 11, claiming up to 20% higher downlink throughput and up to 10% better spectral efficiency across more than 15 live deployments using existing baseband silicon. Verizon disclosed that its 60,000-site vRAN network is now applying agentic AI to configuration changes, service assurance, and optimization, while publicly calling for industry-wide interoperability standards for agentic systems. Nokia, for its part, launched an agentic AI framework for IP network operations within its Network Services Platform, marking its third agentic product announcement in a four-week period. The cluster of launches signals that telco AI has moved from isolated pilots to production-grade deployments across live networks. For related background, see .
Read full article at siliconangle.com
Enjoy our coverage?
Add StreamingMeme as a preferred source on Google to see more of our streaming news at the top of your Search results.
Add as preferred source