Sold by: Oikonomia Architektur
Deployed on AWS
The Oikonomia Pharma FPGA Substrate is a bare-metal, ultra-low latency hardware acceleration engine engineered for elite biopharmaceutical workloads. By bypassing traditional CPU bottlenecks via PCIe DMA and 512-bit AXI-Stream interfaces, it delivers sub-millisecond molecular docking and fractal spatial analysis at an unprecedented institutional scale.
Overview
Engineered for apex-tier research institutions and algorithmic biotech funds, the Oikonomia Pharma Acceleration Substrate completely redefines the speed of computational molecular docking. By leveraging customized Xilinx UltraScale+ FPGA hardware (via Amazon EC2 F1 infrastructure) and direct PCIe DMA transfers, this substrate executes complex 3D voxel spatial grid scans and protein motif matching in strictly deterministic, sub-millisecond timeframes (~0.76 ms). This architecture entirely circumvents the von Neumann bottleneck inherent in traditional CPU and GPU clusters. Incoming HTTP payloads are routed through a Python FastAPI gateway directly into a 512-bit wide AXI-Stream hardware pipeline. The result is an O(1) memory-scaling environment that guarantees absolute spatial invariance and zero-downtime execution for multi-million scale molecular evaluations. Delivered as a turnkey Amazon Machine Image (AMI) linked to a proprietary Amazon FPGA Image (AFI), the substrate auto-initializes on boot. It provides a secure, fully encapsulated REST API endpoint ready to ingest proprietary pharmaceutical data streams instantly. Designed exclusively for organizations that demand absolute compute supremacy and zero compromises in performance.
Highlights
- Sub-Millisecond Hardware Execution: Bypasses standard CPU pipelines using customized Xilinx UltraScale+ FPGA silicon and direct PCIe DMA access, driving compute latencies down to ~0.76 milliseconds for massive molecular docking payloads.
- Turnkey REST API Gateway: Pre-configured with a highly tuned Python FastAPI server and C++ worker daemon that automatically boots and binds to Port 5000, instantly converting standard JSON web requests into 512-bit hardware AXI-Streams.
- Deterministic O(1) Scaling: Guarantees mathematical precision with a constant latent state. Engineered for elite algorithmic environments requiring strictly isolated, zero-downtime pharmaceutical workload processing at maximum throughput.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
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Pricing
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 | Description | Cost/unit |
|---|---|---|
Docking Computation Units | FPGA-accelerated 3D voxel spatial grid and molecular docking units. | $2.00 |
Dimensions summary
This listing uses one usage-based pricing dimension: Docking Computation Units. You pay for the number of units you consume. Each unit covers FPGA-accelerated 3D voxel spatial grid processing and molecular docking work. There are no tiers or fixed instance sizes to choose. Your cost scales directly with how much docking computation you run. The more units you use, the more you pay, so spending tracks actual workload volume. You deploy the metered execution environment into your own AWS infrastructure and are billed by the units it processes.
Top-of-mind questions for buyers
A unit measures FPGA-accelerated molecular docking work. The engine processes data on a 3D voxel spatial grid, mapping molecular interactions to hardware. Each unit reflects a defined amount of that docking computation. You consume units as the metered execution environment runs docking workloads, so counts track processing volume rather than user seats or servers.
You pay for Docking Computation Units consumed, not for idle time. The environment meters docking work through a daemon, so charges accrue only when it processes units. An idle environment produces no docking computation and no unit charges. Underlying AWS infrastructure costs, such as storage, may still apply while resources remain provisioned.
Cost scales with units consumed. The substrate processes data in independent blocks, so larger workloads use more units and cost more in direct proportion. There are no tiers or step changes to cross. Running more or larger docking jobs raises your unit count, and your bill follows that count.
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Vendor refund policy
All sales and metering charges are final and non-refundable due to real-time FPGA hardware resource reservation. Discretionary refunds may be evaluated solely in verified cases of technical platform failure preventing API execution. No refunds are issued for buyer misconfiguration, integration errors, or unconsumed capacity. To request a technical audit and refund review, submit your AWS Account ID, instance ID, and error logs to contact@oikonomia-platform.com .
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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
Production-grade hardware acceleration release for the Oikonomia Pharma FPGA Substrate. Features sub-millisecond 3D voxel spatial docking for virtual compound screening, direct 512-bit AXI-Stream bulk memory transfers across PCIe slot 0000:34:00.0, zero-copy C++ DMA driver bindings (oikonomia_native_sdk.h), and all-atom force-field energy evaluations aligned with PDBbind empirical baselines.
Additional details
Usage instructions
- Launch the EC2 instance using the vendor recommended f2.6xlarge instance type in us-east-1.
- Allow 2-3 minutes after boot for status checks to pass and automated hardware containers to initialize across PCIe slot 0000:34:00.0.
- Send POST requests to http://<instance-ip>:8081/risk/evaluate with payload format: {"sequence_data": [[12.4, 45.1, 88.2], [10.5, 33.1, 85.0]], "target_motif": [[0.0, 0.0, 0.0]]}
- For zero-copy nanosecond DMA access, link directly against oikonomia_native_sdk.h.
Support
Vendor support
For technical inquiries, deployment guidance, and immediate integration support, reach our engineering team directly at contact@oikonomia-platform.com or visit https://oikonomia-platform.com . Our solution is engineered for max 0 operational overhead, delivering turnkey bare-metal AMI deployment with zero CISO friction and zero manual maintenance requirements. Enterprise subscribers receive 24/7 technical ticket handling, sub-1-hour SLAs for critical production inquiries, and direct access to senior FPGA systems engineers for seamless, zero-friction integration.
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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