Chroma DB Hosting

ChromaDB is an open-source AI application database that offers flexibility in deployment, allowing you to host it according to your specific needs. You can deploy a self-managed instance of ChromaDB on the best budget dedicated &
GPU server.

  • Windows or Linux OS
  • Full Root/Admin Access
  • Free 24/7/365 Expert Online Support
  • Servers Delivered within 20 to 40 Minutes

Plans of Dedicated & GPU Servers for Chroma DB

Infotronics offer cost-effective dedicated servers with NVMe disk and NVIDIA GPU optimized servers for Chroma DB Hosting.

Express Dedcated Server - NVMe


  • 32GB RAM
  • 4-Core E3-1230v3 @3.30 GHz
         (4 Cores & 8 Threads)
  • 120GB SSD + 1TB NMVe + 1TB
         SATA
  • 100Mbps-1Gbps Bandwidth


    • OS: Linux / Windows
    1 Dedicated IPv4 IP
    No Setup Free












    Basic Dedicated Server - NVMe


  • 64GB RAM
  • 8-Core E5-2667v4 @3.20 GHz
        (8 Cores & 16 Threads)
  • 120GB SSD +2x1TB NVMe
        + 2TB SATA
  • 100Mbps-1Gbps Bandwidth


    • OS: Linux / Windows
    1 Dedicated IPv4 IP
    No Setup Free












    Professional Dedicated Server - NVMe

  • 128GB RAM
  • 8-Core Dual E5-2667v4 @3.20     GHz (16 Cores & 32 Threads)
  • 120GB SSD +2TB NVMe
        + 4TB SATA
  • 100Mbps-1Gbps Bandwidth


    • OS: Linux / Windows
    1 Dedicated IPv4 IP
    No Setup Free











    Advanced GPU Dedicated Server - A4000

  • 128GB RAM
  • Dual 12-Core E5-2697v2
         (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps



    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX A4000

  • Microarchitecture: Ampere
  • CUDA Cores: 6144
  • Tensor Cores: 192
  • GPU Memory: 16GB GDDR6
  • FP32 Performance: 19.2
         TFLOPS

    • Good choice for hosting AI image generator, BIM, 3D rendering, CAD, deep learning, etc.

    Advanced GPU Dedicated Server - A5000

  • 128GB RAM
  • Dual 12-Core E5-2697v2
        (24 Cores & 48 Threads)
  • 240GB SSD + 2TB SSD
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX A5000

  • Microarchitecture: Ampere
  • CUDA Cores: 8192
  • Tensor Cores: 256
  • GPU Memory: 24GB GDDR6
  • FP32 Performance: 27.8
        TFLOPS







    • Enterprise GPU Dedicated Server - RTX A6000

  • 256GB RAM
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe +
        8TB SATA
  • 100Mbps-1Gbps

    • OS: Windows / Linux
    GPU: Nvidia Quadro RTX A6000

  • Microarchitecture: Ampere
  • CUDA Cores: 10,752
  • Tensor Cores: 336
  • GPU Memory: 48GB GDDR6
  • FP32 Performance: 38.71
        TFLOPS




    • Optimally running AI, deep learning, data visualization, HPC, etc.

    Enterprise GPU Dedicated Server - RTX 4090

  • 256GB RAM
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: GeForce RTX 4090

  • Microarchitecture: Ada Lovelace
  • CUDA Cores: 16,384
  • Tensor Cores: 512
  • GPU Memory: 24GB GDDR6X
  • FP32 Performance: 82.6
        TFLOPS


    • Perfect for 3D rendering/modeling , CAD/ professional design, video editing, gaming, HPC, AI/deep learning.

    Enterprise GPU Dedicated Server - A100(80GB)

  • 256GB RAM
  • Dual 18-Core E5-2697v4
        (36 Cores & 72 Threads)
  • 240GB SSD + 2TB NVMe + 8TB
        SATA
  • 100Mbps-1Gbps


    • OS: Windows / Linux
    GPU: Nvidia A100

  • Microarchitecture: Ampere
  • CUDA Cores: 6912
  • Tensor Cores: 432
  • GPU Memory: 80GB HBM2e
  • FP32 Performance: 19.5
        TFLOPS









    • More GPU Hosting Plans

    6 Reasons to Choose our Dedicated & GPU Servers for Chroma DB

    Infotronics enables powerful GPU hosting features on raw bare metal hardware, served on-demand. No more inefficiency, noisy neighbors, or complex pricing calculators.

    Intel Xeon CPU

    Intel Xeon CPU

    Intel Xeon has extraordinary processing power and speed, which is very suitable for large scale AI applications.

    Support KVM-over-IP

    Support KVM-over-IP

    Take control of remote servers from your local computer with free KVM-over-IP and remote reboot console (Supermicro IPMI).

    Full Root/Admin Access

    Full Root/Admin Access

    With full root/admin access, you will be able to take full control of your dedicated GPU servers very easily and quickly.

    99.9% Uptime Guarantee

    99.9% Uptime Guarantee

    We offer a 99.9% uptime guarantee for all our services and networks, ensuring reliability for both dedicated servers.

    Dedicated IP

    Dedicated IP

    One of the premium features is the dedicated IP address. Every dedicated hosting plan is fully packed with dedicated IPv4 & IPv6 Internet protocols.

    Technical Troubleshooting

    Technical Troubleshooting

    Get expert assistance to resolve issues like slow performance and connectivity problems, ensuring your server runs efficiently.

    Key Factors for Choosing a GPU for ChromaDB

    When you are choosing GPU rental servers for ChromaDB, the following factors should be considered.

    Compute Capability

    Compute Capability

    Higher CUDA cores and tensor cores speed up operations like matrix multiplications.

    Memory Size

    Memory Size

    Larger memory is essential for handling large embeddings and big datasets.


    Memory Bandwidth

    Memory Bandwidth

    Handling many simultaneous queries or searches benefits from higher memory bandwidth and parallel processing power.

    Support

    Support

    Ensure the GPU supports the required frameworks (PyTorch, TensorFlow, CUDA versions).

    Embedding Size and Model Complexity

    Embedding Size and Model Complexity

    If you're generating embeddings with large language models (LLMs) or image models, you’ll need a powerful GPU.

    Budget Price

    Budget Price

    We offer many cost-effective GPU server plans, so you can easily find a plan that is within your budget.

    How to Install and Use ChromaDB

    Deploy ChromaDB on bare-metal server with/without a dedicated GPU in 10 minutes. We will go through How to Install and Use ChromaDB step-by-step.





    Order and Login Server




    Install ChromaDB and create a Chroma client



    Create a collection and add some text documents to it



    Query the collection and inspect results



    FAQs of Dedicated & GPU Servers for Chroma DB Hosting

    The most commonly asked questions about our Dedicated Server for Chroma DB below:

    What is ChromaDB?
    ChromaDB is an open-source vector database designed to efficiently store and query vector embeddings, which are numerical representations of data. It’s particularly useful in AI and machine learning applications that involve searching, filtering, or retrieving data based on semantic similarity. ChromaDB powers tasks like natural language search, recommendation systems, and more.
    1. It’s lightweight and optimized specifically for modern ML applications. 2. Supports integration with Python tools and popular ML frameworks. 3. Designed for ease of use without compromising on performance for large-scale workloads.
    Chroma DB is free and open source under the Apache 2.0 License. Pricing depends on the deployment option.
    Chroma DB is a vector database system that allows you to store, retrieve, and manage embeddings. It can be used in Python or JavaScript with the chromadb library for local use, or connected to a remote server running Chroma.
    Chroma DB, an open-source vector database tailored for AI applications, stands out for its scalability, ease of use, and robust support for machine learning tasks. This powerful database specializes in handling high-dimensional data like text embeddings efficiently.
    Pinecone is a superb option for real-time search and scalability, whereas Chroma's open-source status and flexible query features offer versatility for a wide range of applications. ChromaDB scalability and open-source nature makes it a great fit for large scale AI applications.
    Milvus is more suitable for large-scale, distributed environments where the flexibility of indexing and support for large datasets are key. On the other hand, Chroma shines in scenarios requiring real-time, low-latency search capabilities.

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