Lambda @LambdaAPI
The Superintelligence Cloud lambda.ai/lambdaapi San Francisco, CA Joined July 2012-
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Lambda at CVPR 2026: two accepted papers, two workshops, and a @KodiakRobotics autonomous truck demo. The dominant theme: physical AI. The biggest shift from last year: workloads that combine training, rendering, physics simulation, and inference, not training alone. What we did and what we learned: lambda.ai/blog/lambda-at…
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Lambda CTO @stephenbalaban speaks at @FortuneMagazine #BrainstormTech in Aspen, June 10. The topic: AI budgets are up. Results aren't matching. Where's the gap? conferences.fortune.com/event/brainsto…
As GPU clusters scale, the network becomes a first-order constraint on token throughput. Lambda collaborated with @nvidia on co-packaged optics: shorter electrical paths, no DSP, fewer failure points, and less power consumed by the fabric. More of the data center goes to compute. Read more: lambda.ai/blog/unbox-one…
Sponsoring RAAIS for the second year. See you in London next week.
london's biggest week for tech starts in a few days! excited to be hosting the city's best and brightest in ai at @raais for a deep dive into world models, voice, scaling, defense, rl, fintech, and robotics with @RaiaHadsell @jeffrey_hawke @angelos_peri @ted_moskovitz
28 driverless trucks. The model behind them, GigaFusionNet, trains on Lambda’s NVIDIA HGX H100 clusters. Camera + LiDAR + radar into one backbone. Pre-training within a week. 2x experiments at 2x speed. Read more: lambda.ai/customer-stori…
Lambda retweeted
Excellent work from @RuohanZhang76 @EvansXuHan @jianwen_xie and team on stereo vision for robotic manipulation. Proud @LambdaAPI helped power the compute behind it.
Excited to introduce StereoPolicy, led by @EvansXuHan. 📷📷🤖StereoPolicy is an effective way to add geometric cues to modern robot policy models while keeping the strengths of pretrained 2D encoders. ⁉️Why stereo for robot manipulation? Monocular RGB often lacks the depth
"Trust everyone" isn't an access policy. Workspaces for Lambda Cloud group instances, storage, and users by project. Scope what your team can see and launch. Available now on every account.
Lambda retweeted
👏 @LambdaAPI is the first to adopt NVIDIA co-packaged optics, helping large-scale AI clusters become more efficient, resilient, and ready for agentic AI. Learn more ⬇️
Lambda is first to adopt NVIDIA Quantum-X InfiniBand Photonics Q3450-LD switches, bringing co-packaged optics to large-scale AI clusters to reduce network power overhead, lower failure points, and deliver more tokens per watt. Read more: lambda.ai/blog/unbox-one…
NVIDIA announced DSX, Vera Rubin in full production, Vera CPUs, and DSX OS at GTC Taipei. Lambda is investing across all of it. Less time on infrastructure. More time on the work. #GTCTaipei #agenticAI blogs.nvidia.com/blog/nvidia-gt…
Lambda is first to adopt NVIDIA Quantum-X InfiniBand Photonics Q3450-LD switches, bringing co-packaged optics to large-scale AI clusters to reduce network power overhead, lower failure points, and deliver more tokens per watt. Read more: lambda.ai/blog/unbox-one…
Lambda retweeted
Thanks @TheZachMueller & Lambda @LambdaAPI!
Lambda, NVIDIA, and Kodiak are hosting AI After Dark. The talks end, and the real conversations start. June 6. Spots are limited. Save yours now: luma.com/in9oubm7
Paper: arxiv.org/abs/2605.17172 Code: github.com/open-jarvis/Op…
Most agent frameworks are built around one cloud model. Swap in a local model, performance drops. @OpenJarvisAI fixes the harness, not the model. Result: 77% of the accuracy gap recovered, 800x lower cost per query, 4x lower latency. Built on Lambda. Open-sourced from Stanford.
Lambda retweeted
📣 NVIDIA Blackwell sets a STAC-AI LANG6 record for LLM inference in quantitative research and algorithmic trading. Record performance on Llama 3.1, with the highest compute per watt and lowest token cost. See the results from @HPE, @LambdaAPI, and @supermicro. 👉 nvda.ws/42YJJRW
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