CoreWeave expanded its full-stack AI cloud offering by completing the bring-up and validation of Nvidia Vera Rubin NVL72 on CoreWeave Cloud as inference demand grows. The article says the new system offers one-tenth the cost per million tokens compared with Nvidia’s previous releases. The shift moves AI infrastructure toward integrated, production-oriented stacks aimed at improving utilization and token economics and narrowing the gap between AI pilots and production deployments.
Amazon EKS, EFA, and DeepEP were used to scale post-training MoE reinforcement learning workloads by orchestrating rollout generation and tightly coupled policy training across heterogeneous nodes. DeepEP v2 native EFA support delivered 40% more throughput by replacing standard all-to-all expert-parallel communication with dispatch and combine kernels over libfabric and EFA. This shifts the bottleneck from expert-parallel inter-node communication to a more balanced end-to-end pipeline, improving rollout generation capacity and keeping training workers from idling.
SageMaker HyperPod was paired with Qumulo Cloud Native Qumulo and Cloud Data Fabric so training compute in one AWS Region can read datasets stored in another Region without replicating the data or changing training code. In a cross-Region test using a 1.02 billion-parameter LLaMA v3 setup with hub data in us-east-2 and a spoke in us-west-2, the spoke reached the hub’s throughput of about 115–117 samples per second after warming despite 60 ms network latency. After the initial NeuralCache warmup, remote-region training converged to single-region performance with sub-5 ms cached data operations and GPU utilization near the co-located baseline.
European tech companies and investors announced multiple funding rounds, acquisitions, and new funds, including TEKEVER’s Series D and Mistral AI’s acquisition of Pimento. TEKEVER raised $580M Series D at a $6.4B valuation. Funding, compute capacity, and defence-oriented chip-design initiatives are likely to accelerate as these new capital pools and deal outcomes move forward.
Google will launch a prototype satellite carrying its Trillium AI chips into orbit under Project Suncatcher using SpaceX’s Transporter-18 rideshare mission. The TPUs are expected to endure 50 to 100 times the force of gravity during launch, after radiation tests at UC Davis exceeding a five-year mission dose. Google plans to follow with two satellites in 2027 to test whether TPU clusters can be linked by high-bandwidth lasers, aiming toward constellations for larger AI workloads in space.
Nvidia CEO Jensen Huang said the US will need to rely on fossil fuels longer than climate advocates want, arguing the power supply planning lag is being exposed as AI data-center demand accelerates. He predicted that within four or five years the country will use a lot more fossil fuel. As a result, AI-driven energy demand is pushing near-term gas generation (while funding and deploying longer-term options like renewables and nuclear) and Huang frames AI safety as a compute-and-evaluation problem rather than a reason for a slowdown.
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