Attachment A_VI Facility-Specific Quantities Capacities and Locations_0002.xlsx
XLSX spreadsheet 26 KB Posted
- Attached to
- DA01--Infrastructure as a Managed Service (IaaMS) Federal contract opportunity
- Solicitation number
- 36C10B21R0001
About this file
This document includes an Excel attachment and information on a related federal contract opportunity. The attachment lists storage capacity and file count data for a Veterans Affairs site. The solicitation seeks Infrastructure as a Managed Service and references an RFP with attachments. Vendor questions are due by January 25, 2021 and shall be emailed to the Contract Specialist and Contracting Officer. The agency is the Department of Veterans Affairs Technology Acquisition Center located in Austin.
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Text version
Sheet 1
| VISN | Site | Used Storage Capacity (TB) Single Copy | Total File Count | |
| 1 | White River Junction | 83 | 311,106,234 | << Removed self-reference |
| 1 | Boston | 180 | 595,762,081 | << Removed self-reference |
| 1 | Bedford | 4 | 3,211,061 | << Removed self-reference |
| 1 | Connecticut | 200 | 652,780,653 | << Removed self-reference |
| 1 | Togus | 64 | 167,464,656 | << Removed self-reference |
| 1 | Providence | 71 | 175,565,657 | << Removed self-reference |
| 1 | Manchester | 36 | 78,628,674 | << Removed self-reference |
| 1 | North Hampton | 15 | 39,846,479 | << Removed self-reference |
| 2 | Buffalo | 148 | 448,338,437 | |
| 2 | Albany | 82 | 287,603,168 | |
| 2 | Bath | 25 | 52,355,026 | |
| 2 | Canandaigua | 11 | 27,743,100 | |
| 2 | Syracuse | 124 | 388,350,735 | |
| 3 | Lyons | 48 | 125,587,366 | |
| 3 | Brooklyn | 99 | 306,007,141 | |
| 3 | Bronx | 29 | 87,686,924 | |
| 3 | Montrose | 19 | 53,421,417 | |
| 3 | Northport | 71 | 191,171,217 | |
| 4 | Pittsburgh | 143 | 357,821,063 | |
| 4 | Philadelphia | 136 | 498,902,363 | |
| 4 | Altoona | 41 | 115,356,742 | |
| 4 | Butler | 11 | 28,745,053 | |
| 4 | Clarksburg | 54 | 121,386,863 | |
| 4 | Coatesville | 18 | 34,674,175 | |
| 4 | Erie | 34 | 79,227,957 | |
| 4 | Lebanon | 89 | 267,293,667 | |
| 4 | Wilkes-Barre | 64 | 177,059,554 | |
| 4 | Wilmington | 56 | 146,570,098 | |
| 5 | Martinsburg | 60 | 206,940,012 | |
| 5 | Washington DC | 103 | 367,809,546 | |
| 5 | Baltimore MD | 90 | 375,756,011 | |
| 6 | Salem | 70 | 189,503,421 | |
| 6 | Durham | 195 | 646,120,600 | |
| 6 | Richmond | 226 | 680,195,890 | |
| 6 | Hampton | 64 | 160,583,921 | |
| 6 | Beckley | 52 | 133,329,921 | |
| 6 | Fayetteville | 79 | 193,148,068 | |
| 6 | Asheville | 97 | 344,807,939 | |
| 6 | Salisbury | 145 | 461,689,028 | |
| 7 | Atlanta | 186 | 682,673,621 | |
| 7 | Charleston | 103 | 315,822,966 | |
| 7 | Columbia | 96 | 250,396,573 | |
| 7 | Augusta | 80 | 328,440,667 | |
| 7 | Dublin | 45 | 113,176,180 | |
| 7 | Birmingham | 140 | 348,303,148 | |
| 7 | Central Alabama | 59 | 112,401,044 | |
| 7 | Tuscaloosa | 14 | 30,075,997 | |
| 8 | Orlando | 192 | 577,252,660 | |
| 8 | Malcolm Randall (NFL) (Gainesville Florida) | 441 | 1,637,052,070 | |
| 8 | Malcolm Randall (NFL) (Lake City Florida) | 110 | 315,822,966 | |
| 8 | James Haley (Tampa) | 316 | 725,784,693 | |
| 8 | Bay Pines | 347 | 918,587,180 | |
| 8 | West Palm Beach | 169 | 435,500,127 | |
| 8 | Bruce Carter (Miami) | 164 | 428,501,964 | |
| 8 | Caribbean (San Juan) | 108 | 184,441,064 | |
| 9 | Tennessee Valley | 157 | 547,989,713 | |
| 9 | Mountain Home | 107 | 316,397,073 | |
| 9 | Lexington | 85 | 282,147,635 | |
| 9 | Huntington | 57 | 137,088,320 | |
| 9 | Memphis | 162 | 718,913,043 | |
| 9 | Louisville | 94 | 274,596,319 | |
| 10 | Dayton | 113 | 277,404,362 | |
| 10 | Cleveland | 327 | 733,208,628 | |
| 10 | Cincinnati | 108 | 304,203,673 | |
| 10 | Columbus | 61 | 131,285,659 | |
| 10 | Chillicothe | 43 | 100,525,623 | |
| 11 | Ann Arbor | 122 | 92,133,427 | |
| 11 | Detroit | 97 | 138,632,055 | |
| 11 | Indianapolis | 193 | 413,506,038 | |
| 11 | Saginaw | 37 | 64,745,635 | |
| 11 | Battle Creek | 39 | 68,540,501 | |
| 11 | North Indiana | 53 | 78,931,912 | |
| 11 | Danville | 53 | 72,658,569 | |
| 12 | Milwaukee | 142 | 308,373,015 | |
| 12 | Hines | 102 | 378,425,394 | |
| 12 | Chicago | 68 | 285,988,804 | |
| 12 | Iron Mountain | 53 | 88,648,844 | |
| 12 | Madison | 123 | 404,345,610 | |
| 12 | North Chicago | 74 | 212,149,926 | |
| 12 | Tomah | 16 | 57,228,307 | |
| 15 | Kansas City | 166 | 311,664,713 | |
| 15 | St Louis | 92 | 366,660,583 | |
| 15 | Columbia | 31 | 198,373,839 | |
| 15 | Leavenworth | 60 | 61,237,774 | |
| 15 | Marion | 26 | 124,492,463 | |
| 15 | Poplar Bluff | 37 | 42,906,185 | |
| 15 | Topeka | 97 | 100,605,871 | |
| 15 | Wichita | 75 | 97,470,646 | |
| 16 | Little Rock | 116 | 368,309,167 | |
| 16 | Houston | 305 | 639,693,226 | |
| 16 | Alexandria | 33 | 64,882,826 | |
| 16 | Biloxi | 80 | 166,432,702 | |
| 16 | Pensacola | 12 | 28,745,053 | |
| 16 | Fayetteville | 76 | 189,034,434 | |
| 16 | Jackson | 112 | 204,358,918 | |
| 16 | Muskogee | 64 | 160,189,334 | |
| 16 | New Orleans | 70 | 170,981,575 | |
| 16 | Oklahoma City | 153 | 370,773,834 | |
| 16 | Shreveport | 65 | 134,578,412 | |
| 17 | Central Texas (Temple) | 133 | 404,976,475 | |
| 17 | South Texas (San Antonio) | 164 | 538,126,970 | |
| 17 | North Texas (Dallas) | 129 | 478,092,945 | |
| 17 | Valley Coastal Bend (Harlingen) | 20 | 51,473,749 | |
| 18 | New Mexico | 134 | 399,174,488 | |
| 18 | Carl Hayden | 177 | 496,672,938 | |
| 18 | Northern Arizona | 13 | 75,013,038 | |
| 18 | El Paso | 56 | 133,447,025 | |
| 18 | Amarillo | 32 | 74,986,991 | |
| 18 | West Texas | 20 | 36,628,524 | |
| 18 | Southern Arizona | 155 | 420,989,055 | |
| 19 | Salt Lake City | 129 | 387,707,177 | |
| 19 | Denver | 111 | 375,544,674 | |
| 19 | Ft. Harrison | 31 | 95,934,994 | |
| 19 | Billings | 4 | 3,211,061 | |
| 19 | Sheridan | 9 | 38,491,385 | |
| 19 | Cheyenne | 29 | 96,280,477 | |
| 19 | Grand Junction | 17 | 52,625,726 | |
| 20 | Portland | 112 | 532,904,709 | |
| 20 | Puget Sound | 96 | 479,060,055 | |
| 20 | Anchorage | 17 | 33,342,551 | |
| 20 | Boise | 60 | 237,136,355 | |
| 20 | Roseburg | 24 | 100,415,974 | |
| 20 | Spokane | 51 | 142,957,174 | |
| 20 | Walla Walla | 8 | 35,863,128 | |
| 20 | Southern Oregon | 10 | 39,064,247 | |
| 21 | Northern California | 54 | 141,885,715 | |
| 21 | Palo Alto | 48 | 176,113,807 | |
| 21 | San Francisco | 25 | 86,448,146 | |
| 21 | Fresno | 22 | 48,711,822 | |
| 21 | Reno | 29 | 85,304,257 | |
| 21 | Honolulu | 18 | 30,822,823 | |
| 21 | Manila | 2 | 1,381,815 | |
| 22 | Long Beach | 102 | 478,853,101 | |
| 22 | Las Vegas | 78 | 322,869,995 | |
| 22 | West LA | 150 | 753,832,742 | |
| 22 | Loma Linda | 178 | 580,047,636 | |
| 22 | San Diego | 102 | 363,767,799 | |
| 23 | Minneapolis | 203 | 517,116,763 | |
| 23 | Omaha | 127 | 375,931,068 | |
| 23 | Black Hills | 31 | 124,363,556 | |
| 23 | Central Iowa | 85 | 144,436,565 | |
| 23 | Fargo | 64 | 164,786,438 | |
| 23 | Grand Island | 18 | 39,982,319 | |
| 23 | Iowa City | 215 | 450,291,855 | |
| 23 | Lincoln | 18 | 55,445,324 | |
| 23 | St. Cloud | 59 | 167,370,741 | |
| 23 | Sioux Falls | 41 | 142,115,062 | |
| N/A | Cleveland, OH (SD Lab) | 10 | 0 | |
| N/A | Chantilly, VA (RecoverAll) | 500 | 0 | |
| N/A | Chantilly, VA (RecoverAll) | 200 | 0 | |
| N/A | Chantilly, VA (RecoverAll) | 100 | 0 | |
| N/A | Chantilly, VA (Rapid RecoverAll) | 20 | 0 | |
| N/A | West LA (Test/Dev) | 10 | 0 | |
| N/A | St Louis (Test/Dev) | 10 | 0 | |
| N/A | Mountain Home TN (Test/Dev) | 10 | 0 | |
| N/A | Philadelphia PA (Test/Dev) | 10 | 0 |
File details come from the government source that posted it. Updated .