Overview
This is a self-hosted deployment of the Gemma 4 26B A4B large language model. It runs as a single GPU-powered EC2 instance allowing you to keep your data private and leverage unlimited tokens. Access to the model is via HTTPS, ensuring data is encrypted in-transit at all times. Highlights of the Gemma 4 26B model include:
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Advanced Reasoning - Every model in the family is built for strong reasoning performance, with adjustable thinking modes to fit different use cases.
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Expanded Multimodal Support - Handles text and images with flexible aspect ratio and resolution support across all models, plus native video and audio capabilities on the E2B and E4B models.
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Flexible and Efficient Architectures - Includes both Dense and Mixture-of-Experts (MoE) model variants in multiple sizes, enabling scalable deployment options.
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Built for On-Device Performance - Smaller models are optimized for efficient local use on laptops, smartphones, and other mobile devices.
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Larger Context Windows - Small models support up to 128K context, while medium models extend this to 256K for more complex tasks.
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Stronger Coding & Agentic Performance - Delivers significant gains on coding benchmarks and includes native function-calling support for powerful autonomous agent workflows.
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Native System Prompting - Gemma 4 adds built-in system role support, allowing for more structured, guided, and controllable interactions.
Highlights
- Data security, privacy, and confidentiality
- Predictable cost
- Unlimited usage of a dedicated model
Details
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Pricing
Free trial
Dimension | Cost/hour |
|---|---|
g5.2xlarge Recommended | $0.09 |
Vendor refund policy
Refunds may be considered on a per-case basis. Please contact us at support at salientengineering.com for inquiries.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Configured for production environments. Ollama is exposed on port 443.
Additional details
Usage instructions
- Deploy the EC2 instance, configure the Security Group to only allow inbound port 22 and 443 from your trusted IP address(es)
- Access the Gemma 4 26B A4B model via the Ollama service exposed on port 443. Example curl command: curl -X POST https://<elastic-ip>/api/generate
-d '{"model":"gemma4:26b","prompt":"In one sentence, explain what a large language model is capable of."}'
Resources
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Support
Vendor support
The Salient Engineering support team can be reached at: support@salientengineering.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.