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Blossom Host provides KVM VPS, ISP-IP VPS, and bare metal servers with dedicated public IPv4 addresses. Customers can choose Linux or Windows hosting across multiple locations.

Numerata is a full stack platform for training and running your own private AI models: GPU compute, training, and inference, engineered end to end to run on infrastructure you control.

Our virtual servers offer complete flexibility in terms of CPU, RAM, and SSD - available as vServers (VPS), root servers, ARM servers, or vGPUs. Hosted in data centers worldwide - with DDoS protection, IPv4/IPv6, hourly billing, and optional storage - all at the best value for money.

Exla FLOPs is an on-demand GPU cluster service designed to provide immediate access to high-performance computing resources for AI and machine learning workloads. It enables users to launch distributed training clusters equipped with GPUs such as H100s and A100s within seconds, eliminating the complexities associated with manual node configuration across different cloud providers. This service offers the lowest pricing for H100 GPUs among cloud providers and allows users to spin up large GPU clusters—comprising 64, 128, or more GPUs—without waitlists or long-term commitments. Key Features: - Instant Scalability: Users can immediately deploy large GPU clusters of 64, 128, or more GPUs without waiting lists or commitments, facilitating rapid scaling of AI training processes. - Cost-Effective Pricing: Exla FLOPs offers the lowest pricing for H100 GPUs compared to other cloud providers, utilizing a pay-as-you-go model that ensures users only pay for the compute time they use. - Multiple GPU Support: The service supports various GPU types, including H100 and A100, and allows for the mixing of different GPU types within a single cluster to meet specific project requirements. - Distributed Training Optimization: Exla FLOPs provides specialized infrastructure optimized for efficiently handling distributed training workloads across multiple GPUs, enhancing performance for complex AI and machine learning tasks. Primary Value and Problem Solved: Exla FLOPs addresses the challenges associated with scaling AI training beyond a limited number of GPUs by offering an on-demand, scalable, and cost-effective solution. By eliminating the need for manual node configuration and long-term commitments, it empowers organizations to accelerate their AI development cycles, optimize resource utilization, and reduce operational overhead. This flexibility and efficiency make Exla FLOPs particularly valuable for large-scale AI training, research and development, model fine-tuning, and scenarios requiring temporary computational scaling.

proxiML offers a scalable AI infrastructure platform tailored for generative AI applications, enabling businesses to deploy and manage customized AI services efficiently. The platform addresses challenges associated with fine-tuning models for specific users or styles, which often necessitate managing numerous model versions and performing on-demand inference. proxiML's serverless GPU infrastructure allows for parallel execution, model and checkpoint management, and programmatic invocation, ensuring cost-effective and scalable AI operations. Additionally, the platform supports hybrid and multi-cloud deployments through its CloudBender™ technology, allowing seamless integration of on-premise and cloud resources without altering existing code or pipelines. This flexibility ensures that businesses can scale their generative AI solutions while maintaining control over infrastructure costs. Key Features and Functionality: - Serverless GPU Infrastructure: Facilitates scalable and cost-effective AI operations with features like parallel execution, model management, and programmatic invocation. - On-Demand Inference: Enables inference with specific models only when a customer request is made, optimizing resource utilization. - Scalable Fine-Tuning: Supports parallel execution of multiple fine-tuning tasks, allowing rapid onboarding of customers. - Hybrid/Multi-Cloud Deployment: Utilizes CloudBender™ technology to integrate on-premise and cloud resources seamlessly, providing flexibility and cost savings. Primary Value and Solutions Provided: proxiML empowers businesses to deliver personalized generative AI services without the complexities of managing extensive model versions or incurring prohibitive infrastructure costs. By offering a serverless, scalable platform with hybrid deployment capabilities, proxiML ensures that companies can efficiently develop, deploy, and manage AI solutions tailored to their customers' needs, thereby accelerating time-to-market and enhancing overall AI adoption.

StackWitness independently probes the APIs and vendors your product depends on, from multiple regions, and publishes status that refuses a false green. When Stripe or OpenAI wobbles, you see outside evidence instead of guessing. Free public truth pages for dozens of providers; free tier for your own monitors; paid plans for private status pages, alerts, and on-call. Built for SaaS teams who ship on other people's infrastructure.

Krira Augment is a production-ready Retrieval-Augmented Generation (RAG) pipeline designed to streamline the deployment of enterprise-grade AI applications. By abstracting the complexities of modern AI infrastructure, Krira Augment enables organizations to implement sophisticated AI solutions efficiently, reducing development time from months to minutes. This fully managed platform handles embedding, indexing, and vector search, transforming raw data into actionable context for large language models (LLMs). Key Features and Functionality: - RAG Pipelines: End-to-end ingestion engines utilizing Rust-based chunking and vector orchestration for efficient data processing. - Fine-Tuning: Advanced low-rank adaptation techniques for specialized model customization, enhancing accuracy and performance. - Agentic Systems: Autonomous multi-agent architectures designed for complex reasoning tasks, facilitating sophisticated AI workflows. - MCP Integration: Seamless support for the Model Context Protocol, enabling efficient tool exchange and interoperability. - Developer Coding Tools: A comprehensive suite including version control, debugging, and automated deployment pipelines to support robust development practices. Primary Value and User Solutions: Krira Augment addresses the challenges of building and deploying AI applications by providing a unified infrastructure that eliminates the need for specialized engineering resources. By offering a managed RAG pipeline, it allows organizations to focus on developing intelligent applications without the overhead of managing complex AI stacks. This accelerates time-to-market, enhances scalability, and ensures performance, making sophisticated AI engineering accessible to a broader range of developers and enterprises.

DataDreamer is an open-source Python library designed to streamline workflows involving large language models (LLMs). It facilitates prompting, synthetic data generation, and model training, offering a simple yet powerful toolset for researchers and developers. Key Features and Functionality: - Prompting Workflows: Easily create and execute complex, multi-step prompting workflows using both open-source and API-based LLMs. - Synthetic Data Generation: Generate synthetic datasets for novel tasks or augment existing datasets, enhancing the diversity and volume of training data. - Model Training and Alignment: Support for aligning models, fine-tuning, instruction-tuning, and distillation, enabling the development of models tailored to specific applications. - Efficiency and Reproducibility: Features aggressive caching, resumability, and support for techniques like quantization and parameter-efficient training (e.g., LoRA), ensuring efficient and reproducible workflows. - Data and Model Publishing: Simplifies the process of exporting and publishing datasets and models to platforms like the Hugging Face Hub, automatically generating data and model cards with relevant metadata. Primary Value and Problem Solved: DataDreamer addresses the challenges associated with utilizing LLMs in research and development by providing a unified, efficient, and reproducible framework. It simplifies the creation of complex workflows, enhances data generation capabilities, and supports comprehensive model training processes. By focusing on simplicity, efficiency, and reproducibility, DataDreamer empowers users to leverage LLMs effectively, fostering innovation and accelerating progress in natural language processing and related fields.

OneInfer.ai is a universal realtime AI inference platform built for speed, cost efficiency, and multimodal scale. Powered by the InferKernel acceleration engine, it delivers sub-500ms latency and up to 90% cost reduction compared to standard cloud inference endpoints. Teams use OneInfer.ai to run text, vision, audio, and video workloads through a single API, with intelligent chip-aware routing across NVIDIA GPUs and multi-region providers. The platform handles open-source and fine-tuned LLMs without the overhead of managing GPU infrastructure. OneInfer.ai includes a GPU marketplace for direct compute access, a visual endpoint blueprint builder for configuring intelligent endpoints, and dynamic routing across cloud and edge for real-time, voice AI, and bandwidth-sensitive deployments. It integrates as a drop-in API replacement with minimal workflow changes. Built for developers and AI teams in startups, agencies, and enterprises looking to scale inference without scaling costs.

Specialized AI model hosting for open, proprietary, and custom stacks

VPSForexTrader.com provides Windows VPS and dedicated server hosting purpose-built for forex and algorithmic traders. Operating since 2011, it delivers low-latency servers optimized for MetaTrader 4, MetaTrader 5, and other automated trading platforms. With data centers in London, Amsterdam, New York, and Hong Kong, traders can host close to their broker for faster execution. Every plan runs on guaranteed, non-shared resources, so performance stays consistent even during high-volatility events. A 99.99% uptime guarantee, automated backups, and pre-configured environments keep Expert Advisors and terminals running reliably 24/5, backed by 24/7 technical support and a money-back guarantee.

Satline offers hosted virtual SAT>IP tuners and dedicated DVB servers that receive satellite TV signals and turn them into IP streams, delivered over the internet from its own Tier III data centers in Vilnius and London. The streams plug straight into the software you already use, like TVHeadend, Cesbo Astra, VLC, or Kodi, with colocation and satellite dish farm access available for teams that prefer to host their own equipment.

Infrastructure and productivity tooling for off-cloud artificial intelligence; we support businesses who cannot use cloud-based AI solutions, implement secure alternatives within their businesses

Infrastructure and observability operations provider. They offer expertise in observability engineering built on OpenTelemetry, SigNoz, and Grafana, alongside platform engineering, SRE enablement, and cloud infrastructure. The firm assists clients by deploying and operating these systems directly inside each client's own cloud, cutting SaaS observability costs and improving reliability through ongoing SRE practices. Their engagements focus on long-term operational ownership rather than one-time setup, covering the maintenance, tuning, and cost governance most teams end up handling themselves. They work with open-source tooling and emphasize production reliability, cost control, and keeping data inside the client's own environment.

We design and deliver highly efficient Prefabricated Modular Data Center solutions. Based on solid experience of 20+ years engineering and manufacturing, we integrate resources from industry to build sustainable Data Center Infrastructure solutions that simplify IT deployment and operation in redefined efficiency.