CNBC: Google to pay SpaceX $920 million a month for xAI compute capacity

Gemini is Google's family of multimodal AI models designed to compete with OpenAI's GPT series. Formerly known as Bard, it rebranded to Gemini in 2024 and directly integrates with Google services. The Ultra 1.0 model achieved state-of-the-art performance on multiple benchmarks. Gemini is available through the Google AI app, web interface, and integrates with Gmail, Docs, and other Google Workspace applications.

CoreWeave documents inference products at docs.coreweave.com/products/inference spanning Serverless, Dedicated (BYOW on H100/B200/A100-class GPUs), and CKS options, all exposing OpenAI API-compatible endpoints per the inference introduction. The Inference API at api.coreweave.com (v1alpha1) manages gateways, deployments, and capacity claims over REST/JSON, gRPC, or Connect with Bearer tokens requiring Inference Viewer or Inference Admin roles. Getting-started guides walk through gateway creation with IAM authentication, body-based routing on the model field, and chat completion requests against deployed weights in CoreWeave Object Storage.

NVIDIA NIM documents performance-optimized inference microservices at docs.api.nvidia.com/nim and docs.nvidia.com/nim that expose industry-standard APIs (OpenAI-compatible `/v1/chat/completions`, `/v1/completions`, `/v1/responses`, Anthropic-compatible `/v1/messages`) from containerized models backed by TensorRT-LLM, vLLM, or SGLang per deployment. Teams can self-host GPU-accelerated models on cloud, data center, or RTX workstations, or prototype via NVIDIA-hosted NIM API endpoints through the Developer Program. Management endpoints such as `/v1/health/ready` and `/v1/metrics` support readiness probes and Prometheus metrics on self-hosted containers per the LLM API reference.

Convex documents a Model Context Protocol server shipped in the Convex CLI at docs.convex.dev/ai/convex-mcp-server, started locally with `npx -y convex@latest mcp start` over stdio after linking a project via `npx convex dev`. Tools include `status` (deployment selector), `tables` (declared and inferred schemas), `data` (paginated documents), `runOneoffQuery` (sandboxed read-only JS), `functionSpec`, `run` (invoke deployed functions), `logs`, `insights` (72-hour OCC and resource-limit health), and `envList`/`envGet`/`envSet`/`envRemove`. Flags such as `--prod`, `--preview-name`, `--deployment-name`, and `--disable-tools` restrict scope; production writes require `--dangerously-enable-production-deployments` per changelog defaults.

Go-native MCP server that interfaces directly with Kubernetes API for workload inspection, event monitoring, Helm release management, and log retrieval. Agents can debug cluster issues with RBAC-aware toolsets instead of copy-pasting kubectl output. Supports multiple cluster contexts.

Structures verification of hyperscaler and neocloud GPU lease headlines into a capacity-planning checklist. The workflow separates announced monthly fees and GPU counts from delivery SLAs, termination clauses, and bridge-vs-strategic capacity framing in the same article. It references CNBC reporting on June 5, 2026 that SpaceX will receive $920 million per month from Google from October 2026 through June 2029 for about 110,000 Nvidia GPUs plus CPUs and memory in SpaceX data centers, with capacity ramping through September at a reduced fee; Google may end the deal if committed GPUs are not delivered by September 30, 2026; either party may terminate with 90 days' notice after December 31, 2026; a Google Cloud spokesperson cited bridge capacity for surging Gemini Enterprise demand; the deal follows SpaceX's February xAI merger valued at $1.25 trillion and Anthropic's May Colossus 1 arrangement; CNBC noted SpaceX Q1 capex $10.1 billion ($7.7 billion to AI) and AI segment operating loss $2.5 billion on $818 million revenue—without treating SEC filing figures as your signed contract terms.

Structures verification of public-company AI infrastructure financing headlines into a finance and strategy checklist. The workflow separates announced equity program components (underwritten offerings, at-the-market programs, private placements) from previously disclosed capex guidance and debt-market context cited in the same coverage. It references CNBC reporting on June 1, 2026 that Alphabet plans to sell $80 billion in stock—including a $10 billion Berkshire Hathaway private placement—to fund AI compute infrastructure while stating demand exceeds available supply; that Alphabet revised 2026 capex guidance to $180–$190 billion (up from $175–$185 billion); CEO Sundar Pichai cited compute capacity constraints; CNBC noted hyperscaler combined capex expectations above $700 billion in 2026 and prior Alphabet bond issuances—without treating media capex totals as your internal budget.