OVHcloud, a global player and the European cloud leader, has taken the stage at Adopt AI, France’s new AI-focused event, to renew its commitment to democratize AI within organizations, an effort aligned with its core values for an open, transparent and trusted Cloud. In a booming AI market, OVHcloud aims to offer businesses the optimal capacity for their every AI needs through a wide range of solutions positioned at every price point. The Group’s unique value proposition aims to bring simplicity to every level of the AI pipeline while addressing the growing concerns for security, data privacy and costs that could further delay AI adoption according to recent studies.
To propel AI into new territories, OVHcloud now offers a broad portfolio of NVIDIA Tensor Core GPUs and the latest open-source LLMs (like Mixtral 8x22B or Llama 3) available on the shelf with unmatched simplicity in a private environment. The Group relentlessly executes on its strategy focusing on the four key items that organizations need to be successful with AI: powerful yet efficient compute resources, streamlined datasets, software tooling and cutting-edge skillsets.
Offering NVIDIA accelerated computing for every AI workload
Strategically designed to meet the needs of AI engineers today and tomorrow, OVHcloud solutions turbocharge projects from the creation of AI models to inferencing the very latest Large Language Models. As such, the Group now offers a broad portfolio of state-of-the-art NVIDIA GPUs in its Public Cloud universe, available on demand in ecofriendly datacenters, including the NVIDIA H100 Tensor Core GPU, NVIDIA L4 Tensor Core GPU and NVIDIA L40S GPU. Regardless of whether they need to provision and manage GPU instances themselves or leverage them within OVHcloud Managed Kubernetes Services, MLOps Engineers can benefit from the full range of OVHcloud PaaS offerings, including Managed Databases (such as Vector DB like pgvector or Qdrant), Kafka, as well as high-performance Object Storage.
Further delivering on its ambitious AI roadmap, OVHcloud has introduced NVIDIA L40S GPUs on its Public Cloud in addition to the NVIDIA H100 and L4 GPUs which are already available. NVIDIA L40S GPUs combine powerful AI compute with best-in-class graphics and media acceleration to power a wide range of workloads from LLM inference and training to 3D graphics, rendering and video.
Dedicated Bare Metal servers now with NVIDIA L40S GPUs
Addressing the need for powerful dedicated AI servers, OVHcloud has also introduced new Bare Metal dedicated servers powered by NVIDIA L40S GPUs. Sitting in the High Grade range, the new HGR-AI-2 server targets use cases such as deep learning, machine learning and high performance computing. The range is equipped with AMD EPYC 9354 in a dual processor configuration, thus featuring 64 cores and 128 threads with 384 GB of DDR5 memory (up to 2.3 TB). To tackle serious AI workloads, new HGR-AI-2 features 2x NVIDIA L40S 48 GB GPUs with the ability to configure up to 4x NVIDIA L40S 48 GB GPUs per server.
Easy to use tools to gets hands on with AI workloads
To further simplify AI and democratize the way businesses use AI, OVHcloud AI solutions sit at every step of the AI value chain from ideation to production. The easy-to-use, AI Notebooks, AI Training and AI Deploy services act as a complete set of serverless tools designed to experiment with data, train models and put them into production. The high-level software solutions leverage industry standard technologies and are designed to assist data scientists and machine learning engineers without the need to manage complex infrastructure scaling, and with minute-by-minute billing.
New open-source Llama and Mistral models available through AI Endpoints
OVHcloud AI Endpoints is another serverless solution that enables access to a diverse set of AI models through API endpoints thus requiring little to no knowledge on the user side. Before placing their API calls, developers can benefit from a playground to test their Endpoints. Just like critically acclaimed OVHcloud AI Notebooks, AI Training and AI Deploy, AI Endpoints leverages the Group’s infrastructure, fully respecting data privacy (in/out). The Group has added highly sought-after open-source LLMs like Mixtral 8x22b and Llama 3 that can be deployed through the OVHcloud AI Endpoints service.
Pricing and availability
New NVIDIA GPUs options including NVIDIA H100, L4 and L40S are available now in the Public Cloud universe to execute AI driven projects.
New HGR-AI-2 servers with the NVIDIA L40S GPU are available now in France and Canada, starting at 2969,99 euros/month.
New models including Mixtral 8x22b and Llama 3 are available now through OVHcloud AI Endpoints.
Resources
Adobe Tries Again To Clarify Their Terms Of Use…. Does This Make You Feel Better About Adobe?
Posted in Commentary with tags Adobe on June 7, 2024 by itnerdYesterday, a C level executive tried to put out the fire surrounding the firestorm that Adobe created when changes to their terms of use came to light and made it look like Adobe products were basically spyware. And that Adobe were intent on using customer data to train their AI models.
It now Adobe is taking another crack at trying to make this issue go away via this blog post. I encourage you to read it in full. But here’s the part of it that is most relevant to this discussion:
The focus of this update was to be clearer about the improvements to our moderation processes that we have in place. Given the explosion of Generative AI and our commitment to responsible innovation, we have added more human moderation to our content submissions review processes.
And they also say this:
To be clear, Adobe requires a limited license to access content solely for the purpose of operating or improving the services and software and to enforce our terms and comply with law, such as to protect against abusive content.
Finally they say this:
Now if this blog post came out at the same time the terms of use were updated, we may not be here talking about it now. And if they didn’t do any of the following, this absolutely would not have been such a huge issue:
The fact is Adobe to borrow a U.K. phrase, stuffed this whole thing. They really screwed up how they handled it and burned a whole lot of goodwill in the process. I guarantee that because of how this was handled, a lot of creative professionals are now either looking for alternatives to Adobe products, or have already switched. Will Adobe care about that? They might if it hits their bank account hard enough. I guess the central question is does this make you feel better about Adobe, and will you feel comfortable enough to use their products? Sound off in the comments below with your thoughts.
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