Lambda raises another $1 billion in private debt to buy NVIDIA chips
JPMorgan arranges short-term private notes so Lambda can secure GPUs to lease to Microsoft
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Together AI
An AI cloud that runs open-weight models on behalf of others, serving as the server room for companies wanting to use open-source models. Its flagship service is offering DeepSeek's latest model, V4 Pro, as an API, and it published its pricing sheet alongside the full rollout in August 2026. That same month, it expanded its infrastructure by supplying 10,000 NVIDIA B300 GPUs to India's largest AI data center. It was also revealed in August 2026 that, together with IBM and NVIDIA, it had built a B300 cluster on IBM Cloud. Around the same time, news emerged that Yutori's browser agent runs twice as fast as before on Together AI's environment.
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Together AI · Related stories
Yutori's Browser Agent Runs Twice as Fast on Together AI
Browser agent that repeats screen captures and clicks dozens of times cuts inference costs 4-5x
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Together AI to Deploy 10,000 B300 GPUs for India's Largest AI Factory
Partnership with Larsen & Toubro to build infrastructure for open-source inference, fine-tuning, and training
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DeepSeek-V4-Pro moves to general availability, API pricing revealed
$0.435 input, $0.87 output per million tokens with 1M-token context — cache hits cut costs sharply
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Microsoft's new coding model falls short of DeepSeek on both price and performance
MAI Code 1.1 Flash improves on its predecessor but still trails the open-source DeepSeek V4 Flash
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Together AI, IBM, and NVIDIA Build B300 Cluster on IBM Cloud
IBM Cloud's first dedicated B300 cluster combined with Spectrum-X networking unveiled as inference infrastructure
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Meta, Google, NVIDIA go open source; OpenAI stays closed — strategies diverge
The gap between companies that sell hardware and companies that profit from APIs over open-source strategy has become a talking point in the community
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NVIDIA releases open model 'Nemotron 3.5 Lightning,' a 30B model that runs on just 3B active parameters
The MoE architecture activates only 3B of its total 30B parameters per token, and NVIDIA claims up to 4x faster output than comparable models
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Same AI Model Shows a 15x Speed Gap Across Inference Providers
Artificial Analysis to hold event in San Francisco on August 12 addressing speed gaps across inference providers
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Meta releases 30B-parameter open model for local agents
Muse Glimmer is an agent-specialized model that runs on 24GB-class consumer GPUs with 4-bit quantization
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Kimi K3 Inference Benchmarks: Together AI Ranks Among Top Providers
Moonshot AI tested Kimi K3 across major inference providers, with Together AI ranking first or tied for first in 3 of 4 benchmarks
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Roomote adds Together AI as inference provider
Setup now allows assigning different open models to coding, planning, vision, and review stages
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Together AI · Recent announcements
- 640glm-5.3 now beats gpt-5.6 sol and claude fable 5 on agentic benchmarks
- 614an underrated part of glm-5.3 is its low hallucination rate
- 481We just signed one of the largest AI infrastructure deals for open source, period.
- 143Deciding should you use GLM-5.3 or GLM-5.3 Flash?
- 131When should you use GLM-5.3 vs. GLM-5.3 Flash?
- 108GLM-5.3 has arrived on Together AI on Day 0
- 86for september, we’re cutting the price of Dedicated Inference on H100s from $5.49/hr to $3.99/hr
- 32Excited to welcome @greptile, the AI code reviewer trusted by 11,000+ teams, as a Together AI customer.
- 16We're honored to be named a 2026 #IA40 winner.