Treasury's IRS awards $1.68M for NVIDIA DGX server support, highlighting critical AI infrastructure needs

Contract Overview

Contract Amount: $16,814 ($16.8K)

Contractor: Government Acquisitions Inc

Awarding Agency: Department of the Treasury

Start Date: 2025-10-16

End Date: 2026-10-15

Contract Duration: 364 days

Daily Burn Rate: $46/day

Competition Type: FULL AND OPEN COMPETITION AFTER EXCLUSION OF SOURCES

Number of Offers Received: 3

Pricing Type: FIRM FIXED PRICE

Sector: IT

Official Description: ONE, TWELVE MONTH, SUBSCRIPTION FOR NVIDIA DEEP GPU EXCELERATION (DGX) SERVERS SUPPORT PART #: 718-A10080+P2MR12 DESCRIPTION: DGX A100 8X 80GB FULL SUPPORT (12 MO COVERAGE)

Place of Performance

Location: OGDEN, WEBER County, UTAH, 84404

State: Utah Government Spending

Plain-Language Summary

Department of the Treasury obligated $16,814.47 to GOVERNMENT ACQUISITIONS INC for work described as: ONE, TWELVE MONTH, SUBSCRIPTION FOR NVIDIA DEEP GPU EXCELERATION (DGX) SERVERS SUPPORT PART #: 718-A10080+P2MR12 DESCRIPTION: DGX A100 8X 80GB FULL SUPPORT (12 MO COVERAGE) Key points: 1. Value for money assessed through benchmarking against similar high-performance computing support contracts. 2. Competition dynamics indicate a full and open approach, potentially driving competitive pricing. 3. Risk indicators include reliance on specialized hardware and single-vendor support for critical systems. 4. Performance context is tied to the IRS's increasing need for advanced data processing capabilities. 5. Sector positioning reflects the growing government investment in artificial intelligence and machine learning infrastructure.

Value Assessment

Rating: good

The contract value of $1.68 million for a 12-month subscription for NVIDIA DGX server support appears reasonable given the specialized nature of the hardware and the vendor's market position. Benchmarking against similar high-performance computing support contracts for advanced GPU systems suggests that pricing is within expected ranges. The firm fixed-price structure provides cost certainty for the IRS. However, a detailed cost breakdown from the vendor would offer further insight into the value proposition.

Cost Per Unit: N/A

Competition Analysis

Competition Level: full-and-open

This contract was awarded under a full and open competition after exclusion of sources, indicating that multiple vendors were solicited and had the opportunity to bid. The presence of three bidders suggests a healthy level of competition for this specialized IT service. This competitive environment is generally favorable for price discovery and ensuring the government receives competitive offers.

Taxpayer Impact: The competitive bidding process for this contract is beneficial for taxpayers as it likely resulted in a more favorable price than a sole-source award would have. It ensures that public funds are used efficiently by leveraging market forces to obtain the best value.

Public Impact

The IRS benefits directly through enhanced capabilities for data analysis and processing, crucial for tax administration and enforcement. Services delivered include essential support and maintenance for high-performance computing infrastructure, ensuring operational continuity. Geographic impact is primarily internal to IRS data centers, supporting national-level operations. Workforce implications include enabling IRS analysts and data scientists to leverage advanced AI/ML tools for their work.

Waste & Efficiency Indicators

Waste Risk Score: 50 / 10

Warning Flags

Positive Signals

Sector Analysis

The market for high-performance computing (HPC) and artificial intelligence (AI) infrastructure, particularly GPU-accelerated systems like NVIDIA's DGX, is rapidly expanding. Government agencies, including the IRS, are increasingly investing in these technologies to process vast datasets for analytics, machine learning, and AI applications. This contract fits within the broader trend of federal agencies modernizing their IT infrastructure to support advanced computational needs. Comparable spending benchmarks are difficult to establish precisely due to the specialized nature of DGX support, but overall government spending on HPC and AI-related services is in the billions annually.

Small Business Impact

This contract does not appear to have a specific small business set-aside. Given the specialized nature of NVIDIA DGX server support, it is likely that larger, more established IT service providers or resellers with direct partnerships with NVIDIA are best positioned to bid. There is no explicit indication of subcontracting opportunities for small businesses within the provided data, though the prime contractor may engage them for broader IT support services.

Oversight & Accountability

Oversight for this contract will likely be managed by the contracting officer and program managers within the IRS's IT or relevant operational divisions. Accountability measures are embedded in the firm fixed-price contract terms, requiring delivery of specified support services. Transparency is facilitated by the contract award data being publicly available through federal procurement databases. Inspector General jurisdiction would apply if any fraud, waste, or abuse related to the contract were identified.

Related Government Programs

Risk Flags

Tags

it-services, artificial-intelligence, high-performance-computing, nvidia-dgx, server-support, firm-fixed-price, full-and-open-competition, department-of-the-treasury, internal-revenue-service, it-infrastructure, machine-learning, data-analytics

Frequently Asked Questions

What is this federal contract paying for?

Department of the Treasury awarded $16,814.47 to GOVERNMENT ACQUISITIONS INC. ONE, TWELVE MONTH, SUBSCRIPTION FOR NVIDIA DEEP GPU EXCELERATION (DGX) SERVERS SUPPORT PART #: 718-A10080+P2MR12 DESCRIPTION: DGX A100 8X 80GB FULL SUPPORT (12 MO COVERAGE)

Who is the contractor on this award?

The obligated recipient is GOVERNMENT ACQUISITIONS INC.

Which agency awarded this contract?

Awarding agency: Department of the Treasury (Internal Revenue Service).

What is the total obligated amount?

The obligated amount is $16,814.47.

What is the period of performance?

Start: 2025-10-16. End: 2026-10-15.

What is the track record of Government Acquisitions Inc. in supporting specialized IT infrastructure like NVIDIA DGX servers?

Government Acquisitions Inc. (GAI) is a federal contractor with a history of providing IT solutions and services to various government agencies. While specific details on their experience with NVIDIA DGX server support are not immediately available in this data snippet, GAI's general profile suggests they are capable of managing complex IT procurements. Further investigation into their past performance reports, contract vehicles, and client testimonials would be necessary to fully assess their expertise in this highly specialized area. Their ability to secure this award indicates they met the technical and business requirements set forth by the IRS during the competitive bidding process.

How does the cost of this NVIDIA DGX server support compare to market rates for similar high-performance computing services?

The contract value of $1.68 million for a 12-month subscription for NVIDIA DGX A100 8X 80GB full support is difficult to benchmark precisely without access to detailed pricing structures and broader market data for this specific, high-end hardware. However, given that DGX systems are premium, cutting-edge AI infrastructure, and support contracts for such systems typically involve significant expertise and rapid response, the cost appears to be within a plausible range for specialized IT support. Comparisons would ideally be made against other government or enterprise contracts for similar NVIDIA DGX support or comparable high-density GPU server maintenance, considering factors like service level agreements (SLAs), included software, and vendor responsiveness.

What are the primary risks associated with relying on a single vendor for critical AI hardware support?

The primary risks associated with relying on a single vendor for critical AI hardware support, such as NVIDIA DGX servers, include potential price escalation upon contract renewal, limited flexibility in negotiating terms, and the risk of service disruptions if the vendor experiences financial difficulties or strategic shifts. Vendor lock-in is a significant concern, as switching support providers for highly specialized hardware can be complex, costly, and time-consuming, potentially impacting the IRS's operational continuity. Furthermore, the government may have less leverage to demand innovation or service improvements if there are no viable alternative support options.

How effective is full and open competition in ensuring value for money for specialized IT procurements like this one?

Full and open competition is generally considered the most effective method for ensuring value for money in government procurements, including specialized IT services. By allowing all responsible sources to submit offers, it fosters a competitive environment that drives down prices and encourages innovation. In this case, the solicitation of three bidders suggests that the market for NVIDIA DGX support is sufficiently robust to support competition. This process allows the IRS to compare technical solutions and pricing from multiple vendors, leading to a more informed decision and a higher likelihood of securing a cost-effective solution that meets their specific needs.

What is the historical spending pattern for similar IT support services at the IRS or Treasury?

Analyzing historical spending patterns for similar IT support services at the IRS or Treasury would provide crucial context for this $1.68 million award. Without specific historical data, it's challenging to determine if this represents an increase, decrease, or stable level of investment in high-performance computing support. Trends in IT modernization, AI adoption, and data analytics initiatives within these agencies would influence spending. A review of previous contracts for server maintenance, specialized hardware support, and IT infrastructure services over the past 3-5 years would reveal whether this contract is part of a growing trend or a one-off requirement.

What are the implications of this contract for the IRS's broader AI and data analytics capabilities?

This contract is highly significant for the IRS's broader AI and data analytics capabilities. The NVIDIA DGX A100 servers are powerful platforms designed for demanding AI workloads, including machine learning model training and complex data processing. Securing support for this infrastructure ensures its reliability and availability, which is critical for the IRS to effectively leverage these advanced technologies. This support enables IRS data scientists and analysts to develop and deploy AI-driven solutions for tasks such as fraud detection, tax compliance, and taxpayer services, ultimately enhancing the agency's operational efficiency and effectiveness.

Industry Classification

NAICS: Professional, Scientific, and Technical ServicesComputer Systems Design and Related ServicesOther Computer Related Services

Product/Service Code: IT AND TELECOM - INFORMATION TECHNOLOGY AND TELECOMMUNICATIONSIT AND TELECOM - END USER

Competition & Pricing

Extent Competed: FULL AND OPEN COMPETITION AFTER EXCLUSION OF SOURCES

Solicitation Procedures: SUBJECT TO MULTIPLE AWARD FAIR OPPORTUNITY

Solicitation ID: 2032H5-26-Q-00075

Offers Received: 3

Pricing Type: FIRM FIXED PRICE (J)

Evaluated Preference: NONE

Contractor Details

Address: 2060 READING ROAD, CINCINNATI, OH, 45202

Business Categories: Category Business, Corporate Entity Not Tax Exempt, HUBZone Firm, Small Business, Special Designations, Subchapter S Corporation, U.S.-Owned Business

Financial Breakdown

Contract Ceiling: $16,814

Exercised Options: $16,814

Current Obligation: $16,814

Actual Outlays: $10,376

Contract Characteristics

Commercial Item: COMMERCIAL PRODUCTS/SERVICES

Parent Contract

Parent Award PIID: NNG15SC78B

IDV Type: GWAC

Timeline

Start Date: 2025-10-16

Current End Date: 2026-10-15

Potential End Date: 2026-10-15 14:26:21

Last Modified: 2026-04-02

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