The Lambda deep learning blog
AI / MLDevOps / SRE / infrastructureDistributed systems / cloud
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- 234 from 13 Sep 2018 to 21 Oct 2026
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2026 64
- What Lambda is building with NVIDIA at GTC Berlin 2026
- Lambda to integrate open-source NVIDIA Run:ai with its Managed Kubernetes Service
- ReLearn at CVPR 2026: can AI still learn from humans?
- Lambda closes $1 billion senior secured fixed rate financing
- From world models to active agents: the next step for physical AI
- Open Jarvis: making local LLMs work as agents
- Lambda to build new data center in Mayes County, Oklahoma, generating half a billion dollars in tax revenue over next decade
- Building multimodal models for spatial reasoning
- From structures to dynamics: scaling AI for molecular dynamics in drug discovery
- Closing the loop: agentic evaluation for image editing foundation models
- MLPerf Inference v6.1: pioneering agent, VLM benchmarks
- Lambda signs the White House Ratepayer Protection Pledge, reinforcing commitment to community benefits and grid reliability
- OpenResearcher: a reproducible and scalable pipeline for training deep research agents
- Giving robots 3D vision without depth sensors
- How SPREEAI trains the model behind photorealistic virtual try-on
- ReviewGrounder: grounding AI-assisted peer review in evidence
- Lambda closes $926 million senior secured term loan B facility, backing GPU deployment for an investment-grade customer
- AgentFlow: when the agent's workflow learns
- Build and buy: why the smartest AI teams do both
- A world model for market microstructure
- Lambda prices $926 million senior secured term loan B facility, the first investment-grade-rated term loan B financing by a private neocloud
- Choosing the right orchestration layer for your AI use cases
- From tokens to concepts: how particle models perceive the world
- Prompt injection doesn't care what your agent does for a living
- Keeping 100k battles of untrusted agent code in their lane
- In high-frequency trading data, noise isn't the problem. Assumptions are.
- Your coding harness shouldn't be a black box
- One photo in. A full 3D scene out.
- Why your Kubernetes scheduler can't handle AI workloads
- GLM 5.2: a new rise of open-weight agentic models
- Lambda’s keynote at the ALVR workshop co-located with ACL 2026
- What happens when Claude Code gets an experiment tracker
- We’re entering the age of large-scale synthetic data
- MLPerf Training v6.0: Lambda delivers fastest LLM training on NVIDIA GB300 NVL72 and fastest MoE training on NVIDIA HGX B200
- Building at the speed of research: Lambda at CVPR 2026
- Introducing workspaces for Lambda Cloud
- Unbox one of NVIDIA's first co-packaged optics switches with us. See why we bet on CPO early.
- DeepSeek V4: the most expected open-source model ever released, and the quietest landing
- Lambda Bare Metal Instances: full hardware control with API-driven operations
- Lambda partners with Hudson River Trading to power quantitative research and development
- Lambda’s NVIDIA HGX B200 on STAC-AI™ LANG6
- Lambda closes $1 billion senior secured credit facility to meet gigawatt-scale AI infrastructure demand
- Lambda assembles leadership team to power gigawatt-scale AI infrastructure for the superintelligence era
- Most AI teams treat compute as a commodity. It's not.
- Creating highly efficient agents: 450M tool-calling tokens distilled for post-training from top open-source models
- ICLR 2026: 12 papers on making AI systems reliable, efficient, and secure
- Lambda's MLPerf Inference v6.0: hardware leap, software maturity, research breakthrough
- Lambda at NVIDIA GTC 2026: our thoughts
- How Kodiak trains the brain behind 28 driverless trucks
- Lambda at NVIDIA GTC 2026: building the Superintelligence Cloud
- Lambda at GTC 2026: an early preview
- Open model, open metrics: How Lambda and the Olmo team trained Olmo Hybrid
- FlashAttention-4 gives the NVIDIA Blackwell platform its most optimized attention kernel yet
- Mila World Modeling Workshop: wrap-up
- Lambda appoints Charles Fisher as Chief Financial Officer
- Lambda appoints tech pioneer Jerry Hunter as Vice Chairman, Compute Delivery and Special Advisor to the Board
- Lambda and Oumi partner for end-to-end custom model development
- Kimi K2 Thinking: what 200+ tool calls mean for production
- From building AI infrastructure to shaping its standards: Lambda joins OCP
- How to deploy ML jobs on Lambda Cloud with SkyPilot
- 2025 AI wrapped
- NVIDIA's Vera Rubin NVL72 coming to Lambda's Superintelligence Cloud
- JAX on NVIDIA GPUs Part 2: A practical guide for ML engineers
- Lambda appoints Leonard Speiser as Chief Operating Officer
2025 53
- How to serve Kimi-K2-Instruct on Lambda with vLLM
- Lambda’s multi-cloud blueprint for high-performance AI infrastructure
- From bigger models to better intelligence: what NeurIPS 2025 tells us about progress
- Silicon Photonics for AI Clusters: Performance, Scale, Reliability, and Efficiency
- Lambda Raises Over $1.5B from TWG Global, USIT to Build Superintelligence Cloud Infrastructure
- Prime Data Centers and Lambda Partner to Power the Next Era of Superintelligence with AI-Optimized Infrastructure in Southern California
- MLPerf Training v5.1: Lambda’s NVIDIA GB300 NVL72 outperforms NVIDIA GB200 NVL72 by 27%
- Lambda Announces Multibillion-Dollar Agreement With Microsoft to Deploy AI Infrastructure Powered by Tens of Thousands of NVIDIA GPUs
- Lambda Doubles Down on Midwest Expansion, To Build AI Factory in Kansas City, MO
- Gigawatt-Scale AI Factories: NVIDIA GB300 NVL72 System on Lambda Cloud
- Lambda Appoints Stacey Finerman as VP, Investor Relations
- Lambda Achieves NVIDIA Exemplar Cloud
- AI Factories: Redefining the enterprise playbook
- Lambda Appoints Heather Planishek to Board of Directors as Audit Chair
- Lambda and ECL Bring the First Hydrogen-Powered NVIDIA GB300 NVL72 Systems Online
- JAX on NVIDIA GPUs Part 1: Fundamentals and best practices
- LLM performance up 15.4%: MLPerf v5.1 confirms NVIDIA HGX B200 on Lambda is built for enterprise inference
- Lambda and Cologix debut NVIDIA HGX B200 AI clusters in Columbus, Ohio
- Lambda Builds AI Factories with Supermicro NVIDIA HGX B200 Server Clusters to Deliver Production-ready Next-Gen AI Infrastructure at Scale
- EdgeConneX and Lambda To Build AI Factory In Chicago With Industry-Leading High-Density Data Center Infrastructure
- The Essential Guide to GPUs for AI, Training and Inference
- Introducing Next-Gen Training and Inference at Scale on Lambda Instances with NVIDIA Blackwell
- Building the Aggregated Edge for Sovereign AI
- Beginners Guide to Reasoning in AI
- Introducing NVIDIA SHARP on Lambda 1CC: Next-Gen Performance for Distributed AI Workloads
- Accelerate Your AI Workflow with FP4 Quantization on Lambda
- Ceramic Training Infrastructure Delivers Superior Performance on Lambda's NVIDIA HGX B200
- Lambda’s Q2 2025 Launches: AI Innovation at Warp Speed
- Iambic takes the lead for Next-Gen AI Drug Discovery with Lambda
- Apriel 5B: ServiceNow’s Enterprise AI Trained and Deployed on Lambda
- Partner Spotlight: Orchestrating large-scale agent training on Lambda with dstack and RAGEN
- DeepSeek-R1-0528: The Open-Source Titan Now Live on Lambda’s Inference API
- Cologix and Lambda Launch First NVIDIA HGX B200-Accelerated AI Clusters in Columbus at COL4
- Qwen3 32B is available on Lambda's Inference API
- Scaling liquid cooling for AI workloads
- Deploy Your Models with MLFlow on Lambda Cloud
- Lambda’s Vector lineup gets a major GPU upgrade with NVIDIA Blackwell
- Introducing Lambda's Cloud Metrics Dashboard: Real-Time Insights for Your GPU Workloads
- No VM? No Problem: Meet the Filesystem S3 Adapter
- Security Transparency Is One of Our Superpowers: Introducing Lambda's Customer Trust Portal
- Lambda Managed Slurm: AI Cluster Management, Your Way
- DeepSeek V3-0324 Live on Lambda!
- MLPerf Inference v5.0: Lambda’s Clusters Prove Ready for Today and Tomorrow’s AI Inference Demands
- lambdalabs.com is now lambda.ai
- Lambda Honored to Accelerate AI Innovation in Healthcare with NVIDIA
- Be First, Scale Fast - NVIDIA Blackwell GPU Clusters Now Live on Lambda
- Lambda at NVIDIA GTC 2025: Accelerating AI with NVIDIA Blackwell GPU Clusters
- How a Golden Ticket Could Transform Medicine Forever
- We Pull Our Socks (SOC) Up For Security
- How to serve DeepSeek-R1 & v3 on NVIDIA GH200 Grace Hopper Superchip (400 tok/sec throughput, 10 tok/sec/query)
- What's New - 2025
- Lambda Raises $480M to Expand AI Cloud Platform
- Partner Spotlight: Testing Llama 3.3 70B inference performance on NVIDIA GH200 with Baseten
2024 15
- Get Into The ARMs Race: Future-Proof Your Workloads Now With Lambda
- Putting the NVIDIA GH200 Grace Hopper Superchip to good use: superior inference performance and economics for larger models
- NVIDIA GH200 Grace Hopper Superchips Now on Lambda and Available On-Demand
- Partner Spotlight: Evaluating NVIDIA H200 Tensor Core GPUs for AI Inference with Baseten
- More Options for AI Developers: New On-Demand 1x, 2x and 4x NVIDIA H100 SXM Tensor Core GPU Instances in Lambda’s Cloud
- Will YOU win Lambda’s Golden Ticket in October?!
- Kubernetes cluster deployment made easy with Lambda and SkyPilot
- Unveiling Hermes 3: The First Full-Parameter Fine-Tuned Llama 3.1 405B Model is on Lambda’s Cloud
- Introducing Lambda 1-Click Clusters, a new way to train large AI models
- Introducing ML Times: Your Destination For Digestible AI News And Insights
- Lambda selected as 2024 NVIDIA Partner Network AI Excellence Partner of the Year
- Lambda among first NVIDIA Cloud Partners to deploy NVIDIA Blackwell-based GPUs
- Lambda is a Diamond Sponsor at NVIDIA GTC!
- Lambda Raises $320M to Build a GPU Cloud for AI
- ShadeRunner: Chrome plugin for enhanced on-page research
2023 24
- Benchmarking ZeRO-Inference on the NVIDIA GH200 Grace Hopper Superchip
- Persistent storage now available for on-demand NVIDIA H100 GPU instances
- Lambda launches Vector One, a new single-GPU desktop PC
- Unleashing the power of Transformers with NVIDIA Transformer Engine
- Lambda Cloud Clusters to support NVIDIA H200 Tensor Core GPUs
- Lambda Cloud Clusters now available with NVIDIA GH200 Grace Hopper Superchip
- DeepChat 3-Step Training At Scale: Lambda’s Instances of NVIDIA H100 SXM5 vs A100 SXM4
- Persistent storage for Lambda Cloud is expanding!
- Exploring AI's Role in Summarizing Scientific Reviews
- Lambda launches new Hyperplane Server with NVIDIA H100 GPUs and AMD EPYC 9004 series CPUs
- How FlashAttention-2 Accelerates LLMs on NVIDIA H100 and A100 GPUs
- Lambda Cloud Deploys On-Demand NVIDIA HGX H100 with 8x H100 SXM Instances
- Chat with a PDF using Falcon: Unleashing the Power of Open-Source LLMs!
- Fine tuning Meta's LLaMA 2 on Lambda GPU Cloud
- Considerations for Large-Scale NVIDIA H100 Cluster Deployments
- Fine-tuning Falcon LLM 7B/40B
- Lambda Demos: Simplifying ML Demo Hosting
- Host Stable Diffusion with Lambda Demos in just a few clicks!
- Lambda Cloud Deploys NVIDIA H100 Tensor Core GPUs
- Lambda Selected as 2023 Americas NVIDIA Partner Network Solution Integration Partner of the Year
- Lambda Raises $44M to Build the World’s Best Cloud for Training AI
- Lambda Cloud Adding NVIDIA H100 Tensor Core GPUs in Early April
- How To Use mpirun to Launch a LLaMA Inference Job Across Multiple Cloud Instances
- Lambda Cloud accounts now support teams!
2022 20
- NVIDIA Hopper: H100 and FP8 Support
- Hugging Face x Lambda: Whisper Fine-Tuning Event
- How To Fine Tune Stable Diffusion: Naruto Character Edition
- Voltron Data Case Study: Why ML teams are using Lambda Reserved Cloud Clusters
- NVIDIA GeForce RTX 4090 vs RTX 3090 Deep Learning Benchmark
- September 2022 Lambda GPU Cloud Release Notes
- All You Need Is One GPU: Inference Benchmark for Stable Diffusion
- NVIDIA H100 Tensor Core GPU - Deep Learning Performance Analysis
- How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda
- Multi node PyTorch Distributed Training Guide For People In A Hurry
- Training YoloV5 face detector on Lambda Cloud
- Careers at Lambda
- Setting Up A Kubernetes Run:AI Cluster on Lambda Cloud
- Lambda Cloud Storage is now in open beta: a high speed filesystem for our GPU instances
- Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning
- Lambda Selected as 2021 NVIDIA Partner Network Solutions Integration Partner of the Year
- Keeping an eye on your GPUs - GPU monitoring tools compared
- Best GPU for Deep Learning in 2022 (so far)
- Lambda's Machine Learning Infrastructure Playbook and Best Practices
- Deep learning is the future of gaming.
2021 14
- Setting up environments: Anaconda
- NVIDIA A40 Deep Learning Benchmarks
- StyleGAN 3
- Lambda's Deep Learning Curriculum
- Lambda and Scale Nucleus: Empowering Your Model Training with Better Data
- Tesla A100 Server Total Cost of Ownership Analysis
- Install TensorFlow & PyTorch for the RTX 3090, 3080, 3070
- RTX A6000 vs RTX 3090 Deep Learning Benchmarks
- NVIDIA NGC Tutorial: Run a PyTorch Docker Container using nvidia-container-toolkit on Ubuntu
- Lambda raises $24.5M to build GPU cloud and deep learning hardware
- Lambda Named NVIDIA Partner Network Solution Integration Provider of the Year
- Introducing NVIDIA RTX™ A6000 GPU Instances on Lambda Cloud
- A100 vs V100 Deep Learning Benchmarks
- RTX A6000 Deep Learning Benchmarks
2020 12
- 1, 2 & 4-GPU NVIDIA Quadro RTX 6000 Lambda GPU Cloud Instances
- Lambda Echelon – a turn key GPU cluster for your ML team
- Deep Learning Hardware Deep Dive – RTX 3090, RTX 3080, and RTX 3070
- GPT-3 A Hitchhiker's Guide
- How to Run OpenAI's GPT-2 Text Generator on Your Computer
- OpenAI's GPT-3 Language Model: A Technical Overview
- NVIDIA A100 GPU Benchmarks for Deep Learning
- Cutting the cost of deep learning — Lambda Cloud 8-GPU V100 instances
- Getting Started Guide — Lambda Cloud GPU Instances
- How to Transfer Data to Lambda Cloud GPU Instances
- Hyperplane-16 InfiniBand Cluster Total Cost of Ownership Analysis
- Choosing the Best GPU for Deep Learning in 2020
2019 22
- Training Neural Networks in Record Time with the Hyperplane-16
- Setting up a Mellanox InfiniBand Switch (SB7800 36-port EDR)
- TensorFlow 2.0 Tutorial 01: Basic Image Classification
- Setting up Horovod + Keras for Multi-GPU training
- Tracking system resource (GPU, CPU, etc.) utilization during training with the Weights & Biases Dashboard
- TensorFlow 2.0 Tutorial 05: Distributed Training across Multiple Nodes
- TensorFlow 2.0 Tutorial 03: Saving Checkpoints
- TensorFlow 2.0 Tutorial 04: Early Stopping
- TensorFlow 2.0 Tutorial 02: Transfer Learning
- A Gentle Introduction to Multi GPU and Multi Node Distributed Training
- Titan V Deep Learning Benchmarks with TensorFlow
- RTX 2080 Ti Deep Learning Benchmarks with TensorFlow
- Perform GPU, CPU, and I/O stress testing on Linux
- V100 server on-prem vs AWS p3 instance cost comparison
- Set up a GPU accelerated Docker container using Lambda Stack + Lambda Stack Dockerfiles on Ubuntu 20.04 LTS
- Install CUDA 10 on Ubuntu 18.04
- Text Generation: Char-RNN Data preparation and TensorFlow implementation
- Multi-GPU enabled BERT using Horovod
- On-prem GPU Training Infrastructure for Deep Learning - Slides
- Reproduce Fast.ai/DIUx imagenet18 with a Titan RTX server
- ResNet9: train to 94% CIFAR10 accuracy in 100 seconds with a single Turing GPU
- Tips for implementing SSD Object Detection (with TensorFlow code)
2018 10
- Titan RTX Deep Learning Benchmarks
- Google is probably using Adversarial Noise for reCAPTCHA
- Lambda NeurIPS 2018 Ticket Contest for Three NeurIPS Tickets
- How to install Ubuntu 16.04/18.04 and Lambda Stack on a Tensorbook (Gen 2)
- Crowd Sourced Deep Learning GPU Benchmarks from the Community
- Deep Learning GPU Benchmarks - V100 vs 2080 Ti vs 1080 Ti vs Titan V
- Image Segmentation
- Hyper-Parameter Tuning
- Transfer Learning with TensorFlow Tutorial: Image Classification Example
- How To Classify Images with TensorFlow - a Step-By-Step Tutorial