23 results for “SpaceXAI”
NVIDIA declared Scale-In the fifth pillar of AI networking infrastructure, powered by BlueField-4 DPUs, DOCA software, and Spectrum-X Ethernet. The architecture offloads security, storage, and telemetry from host CPUs at up to 800 Gb/s to keep pace with agentic AI factories.
NVIDIA detailed how Spectrum-X Ethernet uses hardware-accelerated adaptive routing, congestion control, and plane load balancing to solve traditional Ethernet's failures at giga-scale AI training. The platform delivers 1.6x performance over off-the-shelf Ethernet, near-perfect multi-tenant isolation, and 2.68 ms failover versus 1.08 seconds for standard Ethernet.
NVIDIA published a practical observability framework mapping telemetry tools to every layer of DGX and HGX AI factory infrastructure. The guide helps teams catch gray failures like InfiniBand bit-error drift before they waste multi-hour training runs.
Nvidia has formally opened the cuFile APIs and the vertical storage stack beneath them, moving the interface that lets GPUs read and write storage. Opening cuFile is a strategic departure; this layer has historically lived inside CUDA.
Nvidia has agreed to invest up to $3 billion in Lancium, the Texas-based power infrastructure developer behind the first operational site of the Stargate. Power has replaced silicon as the scarcest resource in frontier AI development.
NVIDIA launched NVLink Fusion with NVHBM on August 26, 2026, giving hyperscalers a standardized path to deploy custom XPUs alongside NVIDIA GPUs. The co-designed memory and interconnect stack promises 30% higher bandwidth, 25% more compute area, and 15% lower HBM power versus standard HBM4e.
NVIDIA's Vera Rubin NVL72 achieves up to 30x higher throughput per megawatt than GB300 NVL72 on the SemiAnalysis AgentX benchmark, which replays real coding-agent sessions. The gain comes from rack-scale co-design across GPUs, CPUs, NVLink fabric, and the Dynamo serving stack for agentic AI workloads.
NVIDIA published Vera CPU benchmarks showing up to 3.67x faster CRC32C integrity checks and 3.26x faster Reed-Solomon recovery versus an unnamed x86 CPU. The gains target the storage processing bottleneck that can throttle agentic AI workloads.
NVIDIA committed to a 20-year land, power, and shell agreement at the PORTS-Pike campus in Ohio, securing 4.25 GW of AI factory capacity for OpenAI as anchor tenant. The deal frames physical infrastructure as a reusable asset across multiple GPU generations, unlocking an estimated $600 billion in NVIDIA compute revenue through 2030.
On 13 August 2026 xAI expanded github.com/xai-org/x-algorithm with ranking weights, visibility-filtering code, and Phoenix training — Apache 2.0, not a leak. Open ranking code is not a full production feed.
SpaceX is making one of the largest hardware investments in AI history. SpaceX's AI ambitions go beyond its own needs.