[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-mdeberta-v3-base":3},{"id":4,"slug":5,"name":6,"hf_id":6,"organization":7,"architecture":8,"architecture_config":9,"parameters":13,"parameters_label":14,"context_length":15,"license":16,"downloads":17,"likes":18,"status":19,"description":16,"huggingface_url":20,"created_at":21,"seo":22,"category":16,"family":25,"score":27,"variants":28,"quantizations":29,"requirements":56,"gpu_recommendations":119,"fitting_gpus":183,"community":214},489,"mdeberta-v3-base","microsoft\u002Fmdeberta-v3-base","microsoft","deberta-v2",{"layers":10,"head_dim":11,"hidden_size":12},12,64,768,277702656,"277.7M",512,null,5018592,231,"published","https:\u002F\u002Fhuggingface.co\u002Fmicrosoft\u002Fmdeberta-v3-base","2026-08-13T18:09:40+00:00",{"title":6,"description":23,"image":16,"robots":24,"canonical_url":16},"AI 模型部署决策引擎——开源 AI 的 GPU 需求、云端价格与成本分析。","index, follow",{"name":26,"slug":7},"Microsoft",0.0104,[],[30,35,40,45,49,53],{"format":31,"bits":32,"size_factor":33,"quality_loss":34},"AWQ",4,0.263,0.03,{"format":36,"bits":37,"size_factor":38,"quality_loss":39},"FP16",16,1,0,{"format":41,"bits":42,"size_factor":43,"quality_loss":44},"FP8",8,0.5,0.01,{"format":46,"bits":32,"size_factor":47,"quality_loss":48},"GGUF",0.25,0.05,{"format":50,"bits":32,"size_factor":51,"quality_loss":52},"GPTQ",0.275,0.04,{"format":54,"bits":42,"size_factor":43,"quality_loss":55},"INT8",0.02,{"FP16":57,"FP8":80,"INT8":91,"AWQ":95,"GPTQ":106,"GGUF":111},{"minimum":58,"production":68,"recommended":73},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":61,"kv_cache_gb":62,"vram_gb":63,"ram_gb":64,"disk_gb":65,"requirement_source":66,"confidence":67},"minimum",4096,0.52,0.09,3.11,32,39.81,"inferred",0.95,{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":61,"kv_cache_gb":10,"vram_gb":71,"ram_gb":64,"disk_gb":72,"requirement_source":66,"confidence":67},"production",16384,20.21,104.81,{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":61,"kv_cache_gb":77,"vram_gb":78,"ram_gb":64,"disk_gb":79,"requirement_source":66,"confidence":67},"recommended",8192,2,1.5,5.36,65.81,{"minimum":81,"production":85,"recommended":88},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":82,"kv_cache_gb":62,"vram_gb":83,"ram_gb":64,"disk_gb":84,"requirement_source":66,"confidence":67},0.26,2.78,39.4,{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":82,"kv_cache_gb":10,"vram_gb":86,"ram_gb":64,"disk_gb":87,"requirement_source":66,"confidence":67},19.86,104.4,{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":82,"kv_cache_gb":77,"vram_gb":89,"ram_gb":64,"disk_gb":90,"requirement_source":66,"confidence":67},5.01,65.4,{"minimum":92,"production":93,"recommended":94},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":82,"kv_cache_gb":62,"vram_gb":83,"ram_gb":64,"disk_gb":84,"requirement_source":66,"confidence":67},{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":82,"kv_cache_gb":10,"vram_gb":86,"ram_gb":64,"disk_gb":87,"requirement_source":66,"confidence":67},{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":82,"kv_cache_gb":77,"vram_gb":89,"ram_gb":64,"disk_gb":90,"requirement_source":66,"confidence":67},{"minimum":96,"production":100,"recommended":103},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":97,"kv_cache_gb":62,"vram_gb":98,"ram_gb":64,"disk_gb":99,"requirement_source":66,"confidence":67},0.13,2.63,39.21,{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":97,"kv_cache_gb":10,"vram_gb":101,"ram_gb":64,"disk_gb":102,"requirement_source":66,"confidence":67},19.69,104.21,{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":97,"kv_cache_gb":77,"vram_gb":104,"ram_gb":64,"disk_gb":105,"requirement_source":66,"confidence":67},4.85,65.21,{"minimum":107,"production":109,"recommended":110},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":108,"kv_cache_gb":62,"vram_gb":98,"ram_gb":64,"disk_gb":99,"requirement_source":66,"confidence":67},0.14,{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":108,"kv_cache_gb":10,"vram_gb":101,"ram_gb":64,"disk_gb":102,"requirement_source":66,"confidence":67},{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":108,"kv_cache_gb":77,"vram_gb":104,"ram_gb":64,"disk_gb":105,"requirement_source":66,"confidence":67},{"minimum":112,"production":114,"recommended":116},{"scenario":59,"context_length":60,"batch_size":38,"weight_gb":108,"kv_cache_gb":62,"vram_gb":98,"ram_gb":64,"disk_gb":113,"requirement_source":66,"confidence":67},39.22,{"scenario":69,"context_length":70,"batch_size":32,"weight_gb":108,"kv_cache_gb":10,"vram_gb":101,"ram_gb":64,"disk_gb":115,"requirement_source":66,"confidence":67},104.22,{"scenario":74,"context_length":75,"batch_size":76,"weight_gb":108,"kv_cache_gb":77,"vram_gb":117,"ram_gb":64,"disk_gb":118,"requirement_source":66,"confidence":67},4.86,65.22,{"recommended":120,"cheapest":138,"performance":147,"min_complexity":164,"cluster_options":179,"no_match":180,"required_vram_gb":104,"candidate_count":181,"usage":182},{"gpu_model":121,"gpu_model_id":122,"gpu_count":38,"total_vram_gb":37,"hour_price":123,"monthly_cost":124,"providers":125,"bandwidth_gbps":127,"fp16_tflops":128,"interconnect_score":129,"parallel_efficiency":38,"score":130,"tier":131,"perf_metric":132,"perf_label":133,"perf_value":134,"workload":16,"cost_metric":135},"RTX 5080",23,0.1339,97.75,[126],"vast",960,113,40,0.5757,"cheapest","tok\u002Fs","7384.6 tok\u002Fs",7384.6,{"effective_value":136,"effective_unit":132,"capacity_factor":137},5169.2,0.7,{"gpu_model":139,"gpu_model_id":140,"gpu_count":38,"total_vram_gb":37,"hour_price":141,"monthly_cost":142,"providers":143,"bandwidth_gbps":39,"fp16_tflops":39,"interconnect_score":129,"parallel_efficiency":38,"score":144,"tier":131,"perf_metric":132,"perf_label":145,"perf_value":39,"workload":16,"cost_metric":146},"Tesla V100",17,0.0289,21.1,[126],0.5704,"0 tok\u002Fs",{"effective_value":39,"effective_unit":132,"capacity_factor":137},{"gpu_model":148,"gpu_model_id":149,"gpu_count":42,"total_vram_gb":150,"hour_price":151,"monthly_cost":152,"providers":153,"bandwidth_gbps":155,"fp16_tflops":156,"interconnect_score":129,"parallel_efficiency":157,"score":158,"tier":159,"perf_metric":132,"perf_label":160,"perf_value":161,"workload":16,"cost_metric":162},"H200 SXM",11,1128,3.5,20440,[154],"lambda",4800,989,0.4,0.2197,"balanced","118153.8 tok\u002Fs",118153.8,{"effective_value":163,"effective_unit":132,"capacity_factor":137},82707.7,{"gpu_model":165,"gpu_model_id":166,"gpu_count":38,"total_vram_gb":167,"hour_price":168,"monthly_cost":169,"providers":170,"bandwidth_gbps":172,"fp16_tflops":173,"interconnect_score":129,"parallel_efficiency":38,"score":174,"tier":131,"perf_metric":132,"perf_label":175,"perf_value":176,"workload":16,"cost_metric":177},"RTX 3090",3,24,0.0622,45.41,[126,171],"tensordock",936,71,0.5496,"7200 tok\u002Fs",7200,{"effective_value":178,"effective_unit":132,"capacity_factor":137},5040,[],false,26,"value",[184,188,192,199,206],{"name":139,"vram_gb":37,"cheapest_hour":141,"cost":185,"provider":126,"estimated_tps":39},{"hourly":141,"daily":186,"monthly":142,"yearly":187},0.69,253.16,{"name":165,"vram_gb":167,"cheapest_hour":168,"cost":189,"provider":126,"estimated_tps":176},{"hourly":168,"daily":190,"monthly":169,"yearly":191},1.49,544.87,{"name":193,"vram_gb":37,"cheapest_hour":194,"cost":195,"provider":126,"estimated_tps":39},"RTX 4070S Ti",0.0678,{"hourly":194,"daily":196,"monthly":197,"yearly":198},1.63,49.49,593.93,{"name":200,"vram_gb":37,"cheapest_hour":201,"cost":202,"provider":126,"estimated_tps":39},"RTX 4080S",0.0685,{"hourly":201,"daily":203,"monthly":204,"yearly":205},1.64,50.01,600.06,{"name":207,"vram_gb":42,"cheapest_hour":208,"cost":209,"provider":126,"estimated_tps":213},"RTX 5060 Ti",0.0719,{"hourly":208,"daily":210,"monthly":211,"yearly":212},1.73,52.49,629.84,3446.2,{"posts_count":39,"benchmarks_count":39}]