P01 ATTACHMENT A SOW COMPUTER.docx
DOCX document 30 KB Posted
- Attached to
- 7B20--High performing GPU computer for skin cancer research Federal contract opportunity
- Solicitation number
- 36C26225Q1052
About this file
This Statement of Work (SOW) outlines a contract for procuring a high-performance GPU computer from Lambda.ai for VA-funded skin cancer research at the UCLA Scumpia Laboratory. The computer system, a Vector Pro Workstation, features an AMD Ryzen Threadripper PRO 7965WX processor, 2 NVIDIA 5000 ADA EDU GPUs, 256GB memory, Ubuntu 22.04 operating system, and includes a 3-year hardware warranty and 1-year technical support. The system is specifically designed to support machine learning analysis of reflectance confocal microscopy imaging data for non-invasive skin cancer diagnostics.
The contract is associated with VA Solicitation Number 36C26225Q1052, issued by the Department of Veterans Affairs Veterans Health Administration. The performance period begins upon contract award, with anticipated delivery within two weeks of contract receipt. Delivery will be to the Scumpia Lab at UCLA (MRL-6535), with acceptance contingent on the computer arriving sealed, undamaged, and matching specified technical requirements. The total system specifications include detailed hardware configurations, operating system components, and support services tailored for advanced medical research computing needs.
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Other files for this federal contract opportunity
| File | Type | Posted |
|---|---|---|
| P02 - RFI-NOItoSoleSource COMPUTER.docx | DOCX document | |
| 36C26225Q1052.docx | DOCX document |
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Text version
Statement of Work (SOW)
Title of the project: Contract with Lambda.ai for procurement of a computer system.
VA Facility: VA Greater Los Angeles Healthcare System (VAGLAHS) PI: Philip Scumpia, MD, PhD
1. Background Our VA-funded research’s focus is to improve non-invasive diagnostics that can assist in diagnosis of various grades of skin cancers. This proposal requires implementation of machine learning based on our reflectance confocal microscopy (RCM) imaging data, which requires high performance computer.
2. Objective The sole objective of this contract is to procure a high-performance GPU computer (Vector Pro) from Lambda to analyze our data and build machine learning models to use for non-invasive diagnosis of skin malignancies.
3. Scope of Work The Lambda (Contractor) shall provide the following:
- The customized computer system (Vector Pro) as defined in Quote #Q11797
- Delivery of computer system to the Scumpia laboratory.
- Items must be shipped with appropriate safety and handling documentation.
4. Deliverables/Specifications The company will provide the computer system with the following specifications to the Scumpia laboratory.
Operating System: Ubuntu 22.04 - Includes Lambda Stack for managing TensorFlow, PyTorch, CUDA, cuDNN, etc.
Processor: 1 x AMD Ryzen Threadripper PRO 7965WX 24-Core, 48-Thread Processor Motherboard: AMD Ryzen Threadripper PRO 7000WX EEB Workstation Motherboard Form Factor: Vector Pro Workstation GPU: 2 x NVIDIA 5000 ADA EDU (VCNRTX5000ADA-BLK) Memory: 256GB | 8 x Hynix DDR5-4800 RDIMM - 32GB Operating System Drive: 1 x Crucial T500 2TB PCIe Gen4 NVMe M.2 SSD Scratch Drive: 1 x Samsung PM9A3 NVMe Gen4 U.2 SSD - 3.84TB TDP/BTU/PSU: External TDP= 1,075W | Internal TDP= 995W | Heat= 3,397BTU/h = 0.283 Tons of cooling | PSU config=(1+0) | PSU Wattage= 0 per PSU @120V+ | Ships with NEMA 5-15 to C19 power cords Native Network: Dual 10G RJ45 & 1G IPMI Lambda Vector Hardware Support - 3 Year Standard: Three year hardware warranty with Lambda technical support covering hardware issues Lambda Vector System Support - 1 Year Standard: One year Lambda technical support covering software issues including Lambda Stack, ML frameworks, drivers, OS and BIOS
5. Place of Performance Scumpia Lab 675 Charles E. Young Drive South
MRL-6535, UCLA
Los Angeles, CA 90095
6. Period of Performance The performance period begins upon contract award and concludes upon delivery and acceptance of the computer system. Delivery is anticipated within two weeks after Lambda receives the contract.
7. Acceptance Criteria
- Products (Computer) must arrive sealed, in proper packaging, without any damage with 3 years of hardware warranty.
- Visual inspection and documentation review will confirm item match and condition by our lab personnel.
- Items not meeting specifications will be returned at vendor’s expense.
- The A&A requirements do not apply and a Security Accreditation Package is not required.
File details come from the government source that posted it. Updated .