Sold by: HyperAccel
Deployed on AWS
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HyperAccel delivers a fast and efficient LLM inference system on AWS F2 Instances. Our custom AI chip, the LLM Processing Unit (LPU), is the world's first hardware dedicated to end-to-end inference of large language models like Llama, HyperCLOVA X, and EXAONE.
Overview
HyperAccel provides a high-performance, low-latency inference platform for large language models (LLMs) on AWS F2 Instances. Our solution is powered by the LLM Processing Unit (LPU) - the world's first hardware engine purpose-built for full LLM inference. Unlike GPU-based systems, LPUs are optimized for real-time performance with significantly lower power consumption and cost. This AMI includes a pre-configured software stack and FPGA bitstream that is fully integrated with the vLLM inference engine. It enables efficient deployment of popular open-source and commercial LLMs such as Meta Llama, NAVER HyperCLOVA X, and LG EXAONE. It provides high-throughput and low-latency inference through features, making it well-suited for running multi-billion parameter models. With this instance, customers can easily deploy their own LLM-powered chatbot server using HyperAccel's FPGA acceleration, without requiring any prior hardware expertise or additional infrastructure setup.
Highlights
- FPGA-based LPU architecture delivers high-performance LLM inference with lower latency and power consumption compared to GPUs.
- Pre-configured AMI with a vLLM-integrated software stack and FPGA bitstream enables instant chatbot server deployment without hardware expertise.
- Supports rapid deployment of the latest LLMs like Llama, HyperCLOVA X, and EXAONE through flexible Hugging Face integration.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
f2.6xlarge Recommended | $0.20 |
Dimensions summary
You pay by the hour for one instance type, the f2.6xlarge. Billing is usage-based, so charges accrue only for the hours the instance runs. There are no tiers or add-ons to choose from. This single dimension runs the LLM chatbot software on AWS F2 hardware. Your total cost scales directly with how long you keep the instance active. Start or stop it as needed to control spend.
Top-of-mind questions for buyers
The rate covers one f2.6xlarge instance on AWS F2 hardware. This runs the LLM chatbot software on specialized processing units built for large language model inference. You get one running instance per hour billed. Each hour the instance stays active counts as one billable unit.
Software charges accrue only while the instance runs. Stopping the instance halts the hourly software billing. Underlying AWS storage or reserved resources may still incur separate AWS fees, but the software meter tracks running time only. Restart it whenever you need it.
The software supports transformer-based large language models and multi-modal models. It works with common inference and model frameworks. This lets you run chatbot and inference workloads without changing your existing setup significantly. The same hourly rate applies regardless of which supported model you run.
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Vendor refund policy
If you believe you were charged in error or encountered technical issues that prevented product use, please contact our support team at support@hyperaccel.ai within 7 days of the charge date. Each refund request will be reviewed on a case-by-case basis. You may cancel your subscription at any time via the AWS Marketplace Console.
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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
Updated Ubuntu version from 20.04 to 24.04
[Supported Large Language Models]
- meta-llama/Llama-3.1-8B-Instruct
- meta-llama/Llama-3.2-1B-Instruct
- meta-llama/Llama-3.2-3B-Instruct
- naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-0.5B
- naver-hyperclovax/HyperCLOVAX-SEED-Text-Instruct-1.5B
- LGAI-EXAONE/EXAONE-3.5-2.4B-Instruct
- LGAI-EXAONE/EXAONE-3.5-7.8B-Instruct
Additional details
Usage instructions
To get started, please read the setup guide available at the following link: https://hyperaccel-marketplace.s3.us-east-1.amazonaws.com/Setup_Guide-HyperAccel_LLM_Chatbot.pdf
Resources
Vendor resources
Support
Vendor support
For technical support, please contact us via our helpdesk at https://hyperaccel.atlassian.net/servicedesk/customer/portals . Buyers can expect timely assistance regarding product setup, usage, and troubleshooting. For urgent matters, please email us at support@hyperaccel.ai
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.
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