Introduction: Antimicrobial resistance is among the top 10 global health threats. We analyzed the distribution pattern of VRE among various clinical isolates and Vancomycin resistant phenotypes suggested by Vitek 2C automated system in this study. Material & Methods: A retrospective analysis of VRE isolates from various clinical specimens obtained from Jan 2022 to Dec 2022 at a tertiary care center was done. The isolates were identified to species level using Vitek 2C system using GP ID & P628 cards. Results: During this period, a total of 32 VRE isolates were identified out of which 43.75% were from males and 56.25% were from females. Amongst the VRE isolates (n=32), most common was E.faecium (50%) followed by E.gallinarum (9.37%), E.faecalis (6.25%), E.avium spp (6.25%) E. casseliflavus (3.12%). The distribution in clinical specimen was pus specimens (43.75%), urine (40.62 %), blood (9.37%), ascitic fluid (6.25%). Out of 32 VRE isolates, Vancomycin resistant phenotypes were suggested by Vitek 2C in 28 isolates. Most common was Van A phenotype, in 14 isolates of E. faecium, 02 isolates of E.faecalis, 01 isolate of E. casseliflavus, 01 in E. gallinarum , whereas Van B in 02 isolates of E.faecium. 08 VRE isolates could not be identified upto species level, had Van A type in 7 isolates and Van B type in 01 isolate. Conclusion: Among the observed VRE isolates, our study found a higher frequency of E. faecium than E. faecalis and majority of VRE were of Van A phenotype. In resource limited settings, automated identification systems can give a clue towards possible phenotypes so that necessary infection control practices can be implemented.