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#partnerships

Every item tagged partnerships, newest first.

18 items

otherOct 22

Hugging Face and VirusTotal collaborate to strengthen AI security

Hugging Face and VirusTotal are collaborating to improve AI model security. They will integrate VirusTotal's threat intelligence with Hugging Face's model hub to detect and mitigate potential security risks. This partnership aims to provide a more secure environment for AI model development and deployment. You can expect better protection against malicious models and more transparency in the AI security process.

Key takeaways
  • Hugging Face and VirusTotal are partnering on AI security.
  • The partnership integrates threat intelligence with Hugging Face's model hub.
  • The goal is to detect and mitigate security risks in AI models.
HHugging Face Blog#ai-security#model-hub#partnerships
modelsJul 21

Accelerate a World of LLMs on Hugging Face with NVIDIA NIM

NVIDIA and Hugging Face have partnered to accelerate LLM deployments on the Hugging Face platform using NVIDIA NIM, a set of inference-optimized containers. This collaboration aims to simplify and speed up the process of deploying multiple LLMs, making it easier for builders to integrate and manage various models. The partnership targets the growing demand for efficient LLM deployment and management. You can now access optimized performance across a range of models.

Key takeaways
  • NVIDIA NIM brings optimized inference to Hugging Face.
  • Partnership targets simplified, efficient LLM deployment.
  • Multiple LLMs can be deployed and managed more easily.
HHugging Face Blog#inference-optimization#multi-llm#partnerships
otherMay 19

Microsoft and Hugging Face expand collaboration

Microsoft and Hugging Face are expanding their collaboration to make Hugging Face models more accessible on Microsoft Azure. The partnership aims to simplify model deployment and fine-tuning for builders. This integration enables easier use of Hugging Face's model hub and tools on Azure's cloud infrastructure. You can now deploy Hugging Face models directly on Azure.

Key takeaways
  • Hugging Face models are now more accessible on Microsoft Azure.
  • The partnership simplifies model deployment and fine-tuning.
  • Builders can deploy Hugging Face models directly on Azure.
HHugging Face Blog#cloud-ai#model-deployment#partnerships
otherApr 9

Hugging Face and Cloudflare Partner to Make Real-Time Speech and Video Seamless with FastRTC

Hugging Face and Cloudflare have partnered to integrate FastRTC, enabling seamless real-time speech and video capabilities. This collaboration aims to simplify the development of real-time communication applications. Builders can now leverage Cloudflare's network and Hugging Face's AI models for faster and more efficient deployment. The partnership focuses on reducing latency and improving user experience.

Key takeaways
  • Hugging Face and Cloudflare partner on FastRTC for real-time speech and video.
  • The integration aims to simplify real-time communication app development.
  • Builders can leverage Cloudflare's network and Hugging Face's AI models.
HHugging Face Blog#real-time-communication#ai-models#partnerships
otherMar 4

Hugging Face and JFrog partner to make AI Security more transparent

Hugging Face and JFrog have partnered to improve AI model security and transparency. The collaboration aims to enable secure model sharing and deployment across various environments. This integration allows developers to access and deploy AI models with enhanced security features. You can now track model provenance and vulnerabilities throughout the development lifecycle.

Key takeaways
  • Hugging Face and JFrog partner on AI security.
  • Partnership focuses on secure model sharing and deployment.
  • Integration enhances model provenance and vulnerability tracking.
HHugging Face Blog#ai-security#model-sharing#partnerships
otherJan 22

Hugging Face and FriendliAI partner to supercharge model deployment on the Hub

Hugging Face and FriendliAI have partnered to improve model deployment on the Hugging Face Hub. The partnership aims to provide users with more efficient and scalable model deployment options. This collaboration is expected to benefit builders who use the Hub for model hosting and deployment. The integration will enable faster and more reliable model serving.

Key takeaways
  • Hugging Face partners with FriendliAI for model deployment.
  • Partnership targets improved efficiency and scalability on the Hub.
  • Integration enables faster model serving.
HHugging Face Blog#model-deployment#hugging-face#partnerships
modelsDec 9

Hugging Face models in Amazon Bedrock

Hugging Face models are now available in Amazon Bedrock, expanding access to a wide range of open and closed models for builders. This integration allows users to deploy Hugging Face models directly within Bedrock, streamlining workflows. You can now discover, deploy, and manage Hugging Face models using Bedrock's existing tools and infrastructure. The partnership aims to provide more model choices and flexibility for builders.

Key takeaways
  • Hugging Face models integrated into Amazon Bedrock.
  • Streamlines deployment of Hugging Face models.
  • Increases model choices for builders using Bedrock.
HHugging Face Blog#model-marketplace#cloud-ai#partnerships
otherOct 22

Hugging Face Teams Up with Protect AI: Enhancing Model Security for the ML Community

Hugging Face has partnered with Protect AI to improve model security for the machine learning community. The collaboration aims to identify and mitigate potential vulnerabilities in AI models. This partnership is expected to enhance the overall security posture of models hosted on the Hugging Face platform. You can expect more secure model deployments.

Key takeaways
  • Hugging Face partners with Protect AI on model security.
  • The goal is to identify and mitigate model vulnerabilities.
  • This enhances security for models on the Hugging Face platform.
HHugging Face Blog#model-security#ml-community#partnerships
otherSep 4

Hugging Face partners with TruffleHog to Scan for Secrets

Hugging Face has partnered with TruffleHog to integrate secret scanning capabilities into its platform. This collaboration aims to help users identify and manage sensitive information in their AI and machine learning workflows. By combining Hugging Face's model management tools with TruffleHog's security features, users can better protect their sensitive data. The partnership targets builders who need to ensure security and compliance in their AI projects.

Key takeaways
  • Hugging Face integrates with TruffleHog for secret scanning.
  • Partnership aims to improve security in AI and ML workflows.
  • Users can identify and manage sensitive information more effectively.
HHugging Face Blog#security#ai-security#partnerships
otherMay 21

Hugging Face on AMD Instinct MI300 GPU

Hugging Face has partnered with AMD to optimize model performance on the Instinct MI300 GPU. This collaboration aims to improve efficiency and scalability for AI workloads. You can expect better performance and lower costs for your AI applications. The Instinct MI300 is designed for high-performance computing and AI tasks.

Key takeaways
  • Hugging Face partners with AMD for GPU optimization.
  • Instinct MI300 targets high-performance AI computing.
  • Better performance and lower costs for AI applications.
HHugging Face Blog#ai-hardware#gpu-optimization#partnerships
otherApr 4

Hugging Face partners with Wiz Research to Improve AI Security

Hugging Face has partnered with Wiz Research to improve AI security. The collaboration aims to identify and mitigate potential security risks in AI models. This partnership is a response to the growing need for secure AI development and deployment. You can expect more secure AI models and tools from Hugging Face as a result.

Key takeaways
  • Hugging Face partners with Wiz Research on AI security.
  • The goal is to identify and mitigate security risks in AI models.
  • Partnership aims to improve security in AI development and deployment.
HHugging Face Blog#ai-security#partnerships#secure-ai
otherJan 25

Hugging Face and Google partner for open AI collaboration

Hugging Face and Google have partnered to enable seamless integration of Hugging Face models with Google Cloud Platform services. The partnership aims to simplify AI model deployment and management for builders. You can expect to see more open-source models optimized for Google Cloud. This collaboration targets builders who want to deploy AI models at scale.

Key takeaways
  • Hugging Face models integrate with Google Cloud Platform.
  • Partnership focuses on simplifying AI model deployment.
  • Open-source models optimized for Google Cloud.
HHugging Face Blog#open-source#cloud-ai#partnerships
otherJun 13

Hugging Face and AMD partner on accelerating state-of-the-art models for CPU and GPU platforms

Hugging Face and AMD are partnering to optimize and deploy state-of-the-art models on CPU and GPU platforms. The partnership aims to make AI more accessible and efficient. Builders can expect improved performance and lower costs. This collaboration targets the growing demand for AI acceleration.

Key takeaways
  • Partnership between Hugging Face and AMD.
  • Optimization for CPU and GPU platforms.
  • Improved performance and lower costs expected.
HHugging Face Blog#ai-acceleration#cpu-gpu#partnerships
otherMay 23

Hugging Face and IBM partner on watsonx.ai, the next-generation enterprise studio for AI builders

Hugging Face and IBM are partnering to launch watsonx.ai, an enterprise AI studio aimed at streamlining AI development and deployment. The collaboration combines Hugging Face's model hub and tooling with IBM's Watson AI expertise. You can expect integrated workflows for model training, tuning, and deployment. This partnership targets enterprise builders seeking to accelerate AI adoption.

Key takeaways
  • Hugging Face and IBM are launching watsonx.ai, an enterprise AI studio.
  • The platform combines Hugging Face's model hub with IBM's Watson AI expertise.
  • Partnership aims to streamline AI development and deployment for enterprises.
HHugging Face Blog#enterprise-ai#ai-platforms#partnerships
otherFeb 21

Hugging Face and AWS partner to make AI more accessible

Hugging Face and AWS have partnered to make AI more accessible to developers and businesses. The partnership aims to provide easier access to AI models, datasets, and tools. This collaboration is expected to lower the barriers to AI adoption. You can now deploy Hugging Face models on AWS with one-click.

Key takeaways
  • Hugging Face models are now deployable on AWS with one-click.
  • The partnership aims to make AI more accessible to developers and businesses.
  • Easier access to AI models, datasets, and tools is provided.
HHugging Face Blog#ai-accessibility#cloud-ai#partnerships
otherJun 15

Intel and Hugging Face Partner to Democratize Machine Learning Hardware Acceleration

Intel and Hugging Face have partnered to make machine learning hardware acceleration more accessible. The collaboration aims to optimize Hugging Face Transformers for Intel hardware, enabling faster and more efficient model deployment. This partnership can help builders reduce costs and improve performance. You can expect more affordable and scalable ML solutions.

Key takeaways
  • Partnership optimizes Hugging Face Transformers for Intel hardware.
  • Goal is to democratize access to ML hardware acceleration.
  • Expected outcome: faster, more efficient, and cost-effective model deployment.
HHugging Face Blog#hardware-acceleration#machine-learning#partnerships
otherApr 12

Habana Labs and Hugging Face Partner to Accelerate Transformer Model Training

Habana Labs and Hugging Face have partnered to optimize transformer model training on Habana's hardware. The collaboration aims to improve training performance and reduce costs for builders. This partnership can help you accelerate your model development and deployment. Habana's hardware is designed for efficient large-scale model training.

Key takeaways
  • Partnership focuses on transformer model training optimization.
  • Goal is to improve training performance and reduce costs.
  • Habana's hardware is tailored for large-scale model training.
HHugging Face Blog#model-training#hardware-acceleration#partnerships
otherMar 23

The Partnership: Amazon SageMaker and Hugging Face

Amazon SageMaker and Hugging Face have partnered to integrate Hugging Face models with SageMaker, allowing users to deploy and fine-tune models directly within the SageMaker platform. This integration aims to simplify the process of building and deploying AI models for developers. The partnership enables seamless access to Hugging Face's model hub and tools. You can now use Hugging Face models with SageMaker's automated model tuning and hyperparameter optimization.

Key takeaways
  • Hugging Face models are now integrated with Amazon SageMaker.
  • Developers can deploy and fine-tune Hugging Face models directly in SageMaker.
  • The partnership includes access to Hugging Face's model hub and tools.
HHugging Face Blog#model-integration#cloud-ai#partnerships