RACKLINEEvening

 

RACKLINEEvening

 

 

Models & LabsUnited States

Thinking Machines debuts Inkling 2 Small amid reported $5B fundraising push

Credited to SiliconANGLE · siliconangle.com

Useful

Thinking Machines Labs Inc. has released a new large language model that can automate artificial intelligence training tasks.

The algorithm, Inkling 2 Small, made its debut late Thursday. Around the same time, Business Insider reported that Thinking Machine is in the process of raising a $5 billion funding round led by Accel. The company, which was founded last year by former OpenAI Group PBC Chief Technology Officer Mira Murati, is expected to receive a $40 billion valuation.

Thinking Machines trained Inkling 2 Small on a cluster of GB300 NVL72 racks. Each system contains 72 Blackwell Ultra graphics cards and half as many central processing units. The company completed the initial pre-training phase in 68 hours and subsequently refined the model through a nine-day reinforcement learning workflow. There were also a number of intermediate training steps.

Thinking Machines honed Inkling 2 Small’s programming capabilities by giving it hundreds of thousands of long-horizon coding challenges. The task collection included a number of particularly complicated “autoresearch” exercises. They required the model to post-train neural networks, optimize LLM components called kernels and perform other AI research work.

Thinking Machines put Inkling 2 Small’s machine learning skills to the test by asking it to fine-tune Qwen3.5-4B. The goal was to improve the open-source LLM’s ability to make predictions such as weather forecasts. According to the company, Inking 2 Small doubled the model’s forecasting score in 4.5 hours.

The LLM is also adapt at automating business tasks. It outperformed Spark Open, Kimi K3 and several other open-source models on three popular knowledge work benchmarks. Additionally, it earned higher scores across several financial task datasets.

Inkling 2 Small includes a vision encoder that can analyze images. Moreover, it enables the LLM to visually verify the quality of the graphics that it generates. If a user asks the model to create an e-commerce store, it can not only check the website’s code for bugs but also visually inspect product pages to check that they render correctly.

The vision encoder accounts for 292 million of Inking 2 Small’s 594 billion parameters. About 17 billion of those parameters activate when a user enters a prompt. Inking 2 Small can adjust the amount of computing power that it spends on tasks, which enables developers to trade off output quality for increased cost-efficiency or vice versa.

Particularly savvy users can extend the model’s capabilities by post-training, or customizing it, using their own data. Thinking Machines says that Inkling 2 Small learns faster than its earlier models. That should translate into more cost-efficient post-training runs.

Inkling 2 Small is available via Thinking Machines’ Tinker cloud service on launch. The company plans to release the model’s weights under an open-source license next week.

Support our mission to keep content open and free by engaging with theCUBE community. Join theCUBE’s Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities.

Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from our Marketplace portal page and links: https://siliconangle.com/aws-marketplace/

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Our new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

AWS' Colleen Aubrey: Stop inventing new AI metrics — it’s your business metrics that matter

Midterm elections will put AI and data centers on trial, but Big Tech may end up winning anyway

The AI boom's missing balance-sheet question: What has actually been verified?

Atomicwork launches certified AI coworker marketplace for enterprise IT and security

Dropbox acquires Tigris Data for $350M, releases new AI productivity features

Autonomous combat drone maker Shield AI buys radar startup Echodyne for $5.3B

CLOUD - BY MARIA DEUTSCHER. 20 HOURS AGO

EMERGING TECH - BY MIKE WHEATLEY. 20 HOURS AGO

Join our community

Original · SiliconANGLE

Front