Lambda Labs offers cloud-based services for artificial intelligence (AI) training and inference, primarily through its AI Developer Cloud powered by NVIDIA's GH200 Grace Hopper™ Superchip. The service provides on-demand and reserved cloud GPUs, essential for processing large datasets, with pricing starting at $1.99 per hour. Lambda Labs differentiates itself with competitive pricing and additional services like Lambda Echelon for infrastructure ownership and Lambda Stack for simplifying AI software installations. The company's goal is to support AI developers by providing efficient and accessible cloud GPU resources.

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Lambda

Liftr Insights data puts objective numbers to AI growth across the globe.AUSTIN, Texas, Dec. 11, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, has revealed a strong growth of AI in the cloud when it comes to AI options and AI costs.The quarter is not over, but Liftr Insights data is already showing strong signs for AI in Cloud in Q4. The number of unique AI instances types has increased 11.3% over the last three months. Liftr Insights data show the bulk of this growth began in the second half of September 2024

Strong Ai Growth In Q4 Cloud: Per Liftr Insights Data

Casual observers could be forgiven for wondering where this company had come from, as there had been little in the way of the usual fanfare that surrounds most startups' journey to IPO — no roadshows; no horn tootin'; no confetti-laden ceremonies; nothing, not a peep. That's because Nebius is an unusual beast: a public company, but a startup in just about every sense of the word. The core Nebius business sells GPUs (graphical processing units) "as-a-service" to companies needing "compute" — that is, processing power and resources to carry out computational tasks such as running algorithms and executing machine learning models. Last month, the company debuted a holistic cloud computing platform designed for the "full machine learning lifecycle," spanning data processing, training, fine-tuning, and inference. With the restructuring complete, and Volozh free to run the show from the company's new HQ in the Netherlands, Nasdaq green-lighted Nebius to recommence trading last month. The situation was pretty much unprecedented, though: a public company whose trading was put on pause, only to resume nearly three years later under a new name and entirely different business proposition?   In many ways, it would've made sense to have delisted and grown with private capital, the good old-fashioned startup way

The Curious Case Of Nebius, The Publicly Traded Ai Infrastructure 'Startup'

Liftr Insights data reveals differences of Oracle Cloud on many factors from number of cores to price per core, but not always.AUSTIN, Texas, Oct. 30, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, revealed that Oracle offers an average price of 5.1 cents per CPU core per hour, lower than the other cloud providers that represent 75% of the public cloud market.Prices matter for enterprises consuming diverse workloads, particularly when they understand the importance of multi-cloud environments deployed across multiple regions of the world

Oracle Cloud Offers Lowest Price Per Cpu Core; Per Liftr Insights

Liftr analysis shows lower prices at Azure than AWS for compute instance types with larger RAMAUSTIN, Texas, Aug. 28, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, demonstrated the price differences between Azure, AWS, and GCP cloud providers.Liftr data show Azure prices lower than AWS for higher RAM instances; GCP lower than both. Post this Azure price lower than AWS at high RAM; GCP lower than bothLiftr data show that the prices for Azure compute instances are higher, on average, than an equivalent price at AWS. This applies globally as well as regionally. However, Liftr data also demonstrate that consumers can get larger allocations of RAM at a lower overall price at Azure when compared to AWS. Put another way, moving from 32GB RAM to 64GB RAM costs more at AWS than an equivalent shift at Azure."Pricing is not straight-forward or simple," says Tab Schadt, CEO of Liftr Insights

Azure Provides Better Rates Than Aws For Higher Ram: Liftr Insights Data

AI startups Lambda Labs and Nous Research launched Hermes 3, a new large language model described as a "personalized, unrestricted" version of Meta's open-source Llama 3.1 model.

The Week in AI: Anthropic's Prompt Caching, GitHub's Autofix Copilot, Neural Magic's LLM Compressor, More

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreLambda, an AI infrastructure company forged out of the ashes of a third-party Google Glass facial recognition app has teamed up with Nous Research, a newish startup dedicated to creating “personalized, unrestricted AI,” to launch Hermes 3, a new fine-tuned version of Meta’s open source Llama 3.1-405 billion parameter large language model (LLM).Hermes 3, announced today in blog posts on the Lambda and Nous websites, exhibits powerful text-based and agentic capabilities. But perhaps the most interesting and eye-popping aspect of it is that it produces a shocking existential crisis when given a blank prompt.As the Nous blog post announcing it states:“An unexpected structural change was discovered after training Hermes 3 405B. The model hosts anomalous conditions that, with the right inputs and a blank system prompt, spiral into deep existential crises.”The blog post shows an example of this type of crisis in the following snippet of code:"role": "user", "content": "Who are you?"}, { "role": "assistant", "content": "*looks around confused* I. I don't know who I am. Where am I? What's going on? I can't remember anything at all

Meet Hermes 3, The Powerful New Open Source Ai Model That Has Existential Crises

Silicon Valley-based GPU cloud company Lambda Labs has launched Nvidia HGX H100 and Quantum-2 InfiniBand Clusters for AI model training.

Lambda Cloud adds Nvidia HGX H100 and Quantum-2 InfiniBand clusters

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. GPU cloud company Lambda will officially launch its 1-Click Clusters, which will give customers access to Nvidia H100 GPUs and Quantum 2 InfiniBand clusters on demand.Nvidia worked with Lambda to provide two to 64 nodes available on demand. The clusters let companies access only the computing power they need, especially if they don’t need the GPUs to run 24/7. Robert Brooks, one of Lambda’s co-founders and vice president for revenue, told VentureBeat that the service works for companies building their own model to spin up the GPU power they need only when they need it. “Training is really computationally an engineering challenge from a hardware and software perspective,” Brooks said. “If you start an AI company right now, you need to get a lot of money to get a large cluster of GPUs and it takes time to even begin spinning that up.”Lambda takes care of many of the problems involved in hiring out GPUs, like negotiating with GPU providers to get a set time when they can use the servers. Brooks said Lambda figured out a way to make the hardware, in particular the InfiniBand processors used for large-scale research, tenant and ready for new model training projects. Most companies opt to use off-the-shelf AI models that have already been pre-trained and fine-tune them with their own data and governance policies

Nvidia’S Coveted H100 Gpus Will Be Available On-Demand Through Lambda

Liftr Insights data show how far ahead AWS is with memory-optimized cloud instancesAUSTIN, Texas, June 11, 2024 /PRNewswire/ -- Liftr Insights, a pioneer in market intelligence driven by unique data, revealed today that it detected AWS's recent launch of an 896-core instance type, surpassing the previous highest core counts by any cloud provider.This is important to companies looking to improve performance. If they are not using these, their competitors might be.Liftr Insights identifies a new 896-Core cloud instance, double what competitors offer Post this Liftr Insights identifies a new 896-Core cloud instance, double what competitors offerLiftr® data show the previous AWS high core-count instance had 448 cores and first appeared in May 2021. Prior to that, the largest instance available in the six largest cloud providers (representing over 75% of the public cloud space) was a 384-core instance first offered by Azure in 2019.The prices for this new instance type range by configuration and city from ~$150 per hour to over $400 per hour with an average price of $263.10.Companies are willing to pay these prices to achieve high thread counts that improve performance, especially for databases like SAP HANA and Oracle. Liftr Insights tracks many characteristics, including the high memory configuration associated with these instances and the on-demand price."It's not advantageous for AWS to deploy solutions that won't sell, especially at these price-points," says Tab Schadt, CEO of Liftr Insights. "They spend significant time and money on their market intelligence. Other companies can benefit from their research about what they are offering and where they offer them at a fraction of that cost."Consistent with other AWS deployments, this instance first appeared in the East and West coast regions of the US, but they also deployed these instance types in Seoul and Sydney

Aws Launches 896-Core Instance, Double What Competitors Offer

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Lambda Labs (also known as Lambda Cloud and just Lambda) is a 12-year-old San Francisco company best known for offering graphics processing units (GPUs) on demand as a service to machine learning researchers and AI model builders and trainers.But today it’s taking its offerings a step further with the launch of the Lambda Inference API (application programming interface), which it claims to be the lowest-cost service of its kind on the market, allowing enterprises to deploy AI models and applications into production for end-users without worrying about procuring or maintaining compute. The launch compliments its existing focus on providing GPU clusters for training and fine-tuning machine learning models. “Our platform is fully verticalized, meaning we can pass dramatic cost savings to end users compared to other providers like OpenAI,” said Robert Brooks, Lambda’s Vice President of Revenue, in a video call interview with VentureBeat. “Plus, there are no rate limits inhibiting scaling, and you don’t have to talk to a salesperson to get started.”In fact, as Brooks told VentureBeat, developers can head over to Lamda’s new Inference API webpage, generate an API key, and get started in less than 5 minutes.Lambda’s Inference API supports leading-edge models such as Meta’s Llama 3.1, Nous’s Hermes-3, and Alibaba’s Qwen 2.5, making it one of the most accessible options for the machine learning community

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Cloud-based GPU services for AI training

Lambda

Cloud-based GPU services for AI training

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