Nscale vs Together AI

Aker CEO dismisses Microsoft Nscale contract loss as minor

The CEO of Aker ASA, Øyvind Eriksen, the largest investor in UK AI infrastructure startup Nscale, downplayed Microsoft's withdrawal from a data centre deal as a "minor contract". Speaking during Aker's Q3 results presentation, Eriksen reassured investors ahead of Nscale's planned US IPO targeting a $35bn valuation. He noted that since Nscale's Series C funding round, the company's activity and contract portfolio more than doubled, and the termination was expected. Microsoft cancelled the deal to lease compute capacity from Nscale's Essex data centre due to anticipated power supply issues. Nscale is reportedly close to a new multibillion-dollar deal with Anthropic, which would increase its commitment in West Virginia. Aker owns approximately 23% of Nscale, valued at $3.31bn based on the Series C valuation.

• Aker ASA CEO Øyvind Eriksen called Microsoft's cancellation of a data centre deal with Nscale a 'minor contract'.
• Aker owns approximately 23% of Nscale, valued at $3.31bn based on Nscale's Series C valuation.
• Microsoft cancelled the lease agreement due to expected power supply issues at Nscale's Essex data centre.

What 500 leaders from AI-native companies told us about infrastructure

New Nscale research of 500 U.S. AI-native leaders shows how infrastructure choices shape product velocity, engineering capacity, and compliance

Nscale is developing digital twins to scale AI infrastructure

Nscale is exploring how simulation can inform the way it designs, deploys, and operates AI data centers with NVIDIA Omniverse Libraries and NVIDIA DSX Sim.

Introducing Together Link: Run open models inside the harness you already use

Together AI announces Together Link, a new product that allows running open models within existing harnesses, alongside new research blog posts on ThunderKittens for NVIDIA Vera Rubin NVL72, ThunderAgent, and ICML 2026 participation.

Open or Closed AI: Founders' Choices at TechCrunch Disrupt 2026

The article previews upcoming discussions at TechCrunch Disrupt 2026 (Oct 13-15, San Francisco) on AI model strategy. It highlights how startups increasingly use multiple models—open and proprietary—for different tasks, weighing cost, performance, and flexibility. Sessions feature leaders from Together AI, Pathway, Oumi, Nvidia, and Ricursive Intelligence. Topics include whether to build, customize, or rent AI models, optimizing AI hardware (chip design), and trade-offs between frontier APIs (like OpenAI, Google) and open-weight models. The article emphasizes that model choice shapes product differentiation, infrastructure needs, and long-term business viability. It's a conference promotion with substantive insights on AI architecture decisions.

• TechCrunch Disrupt 2026 takes place Oct 13-15 at Moscone West, San Francisco.
• The conference features 200+ sessions, 250+ speakers, and 300+ exhibiting startups.
• Sessions cover multi-model strategies, custom model development, and AI-designed hardware.

Together AI Product Team Shares AI-Native Workflow Stack

Together AI's product team, including CPO Charles Zedlewski and PMs Necoline Hubner and Pavneet Ahluwalia, outlined their AI-native product development stack in a podcast. The stack comprises four components: a shared context repository accessible by any AI harness, skills for feature research and PRD writing, an orchestrator for leadership, and agent evals. The team emphasizes collective productivity over individual gains, using multiple models like GLM and Kimi instead of relying solely on Anthropic. They validate products through agent-based tests, checking if AI agents can complete tasks using their documentation and API. The article also highlights Together AI's $8.3 billion valuation from its Series C round.

• Together AI is valued at $8.3 billion.
• Together AI's product team uses a four-component AI-native stack: shared context repo, skills, orchestrator, and agent evals.
• The team uses multiple AI models (e.g., GLM, Kimi) rather than only Anthropic's models.