[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"model-nvidia-nemotron-3-nano-4b-bf16":3},{"id":4,"slug":5,"name":6,"hf_id":6,"organization":7,"architecture":8,"architecture_config":9,"parameters":14,"parameters_label":15,"context_length":16,"license":17,"downloads":18,"likes":19,"status":20,"description":17,"huggingface_url":21,"created_at":22,"seo":23,"category":26,"family":29,"score":31,"variants":32,"quantizations":33,"requirements":59,"gpu_recommendations":142,"fitting_gpus":208,"community":243},540,"nvidia-nemotron-3-nano-4b-bf16","nvidia\u002FNVIDIA-Nemotron-3-Nano-4B-BF16","nvidia","nemotron_h",{"layers":10,"head_dim":11,"kv_heads":12,"hidden_size":13},42,128,8,3136,5367627776,"5.4B",262144,null,4712693,126,"published","https:\u002F\u002Fhuggingface.co\u002Fnvidia\u002FNVIDIA-Nemotron-3-Nano-4B-BF16","2026-09-25T12:13:06+00:00",{"title":6,"description":24,"image":17,"robots":25,"canonical_url":17},"AI model deployment & compute intelligence — compare AI models, GPU requirements, benchmarks, cloud GPU rental pricing and deployment cost analysis for DeepSeek, Qwen, Llama, Wan and more.","index, follow",{"name":27,"slug":28},"LLM","llm",{"name":30,"slug":7},"Nvidia",0.0442,[],[34,39,44,48,52,56],{"format":35,"bits":36,"size_factor":37,"quality_loss":38},"AWQ",4,0.263,0.03,{"format":40,"bits":41,"size_factor":42,"quality_loss":43},"FP16",16,1,0,{"format":45,"bits":12,"size_factor":46,"quality_loss":47},"FP8",0.5,0.01,{"format":49,"bits":36,"size_factor":50,"quality_loss":51},"GGUF",0.25,0.05,{"format":53,"bits":36,"size_factor":54,"quality_loss":55},"GPTQ",0.275,0.04,{"format":57,"bits":12,"size_factor":46,"quality_loss":58},"INT8",0.02,{"FP16":60,"FP8":86,"INT8":99,"AWQ":103,"GPTQ":116,"GGUF":129},{"minimum":61,"production":71,"recommended":78},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":64,"kv_cache_gb":65,"vram_gb":66,"ram_gb":67,"disk_gb":68,"requirement_source":69,"confidence":70},"minimum",4096,10,0.66,17.78,32,54.6,"inferred",0.95,{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":64,"kv_cache_gb":74,"vram_gb":75,"ram_gb":76,"disk_gb":77,"requirement_source":69,"confidence":70},"production",16384,84,155.58,233.38,119.6,{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":64,"kv_cache_gb":82,"vram_gb":83,"ram_gb":84,"disk_gb":85,"requirement_source":69,"confidence":70},"recommended",8192,2,10.5,36.84,55.26,80.6,{"minimum":87,"production":91,"recommended":95},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":88,"kv_cache_gb":65,"vram_gb":89,"ram_gb":67,"disk_gb":90,"requirement_source":69,"confidence":70},5,11.46,46.8,{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":88,"kv_cache_gb":74,"vram_gb":92,"ram_gb":93,"disk_gb":94,"requirement_source":69,"confidence":70},148.69,223.03,111.8,{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":88,"kv_cache_gb":82,"vram_gb":96,"ram_gb":97,"disk_gb":98,"requirement_source":69,"confidence":70},30.23,45.35,72.8,{"minimum":100,"production":101,"recommended":102},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":88,"kv_cache_gb":65,"vram_gb":89,"ram_gb":67,"disk_gb":90,"requirement_source":69,"confidence":70},{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":88,"kv_cache_gb":74,"vram_gb":92,"ram_gb":93,"disk_gb":94,"requirement_source":69,"confidence":70},{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":88,"kv_cache_gb":82,"vram_gb":96,"ram_gb":97,"disk_gb":98,"requirement_source":69,"confidence":70},{"minimum":104,"production":108,"recommended":112},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":105,"kv_cache_gb":65,"vram_gb":106,"ram_gb":67,"disk_gb":107,"requirement_source":69,"confidence":70},2.59,8.41,43.05,{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":105,"kv_cache_gb":74,"vram_gb":109,"ram_gb":110,"disk_gb":111,"requirement_source":69,"confidence":70},145.37,218.05,108.05,{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":105,"kv_cache_gb":82,"vram_gb":113,"ram_gb":114,"disk_gb":115,"requirement_source":69,"confidence":70},27.05,40.57,69.05,{"minimum":117,"production":121,"recommended":125},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":118,"kv_cache_gb":65,"vram_gb":119,"ram_gb":67,"disk_gb":120,"requirement_source":69,"confidence":70},2.62,8.45,43.09,{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":118,"kv_cache_gb":74,"vram_gb":122,"ram_gb":123,"disk_gb":124,"requirement_source":69,"confidence":70},145.41,218.11,108.09,{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":118,"kv_cache_gb":82,"vram_gb":126,"ram_gb":127,"disk_gb":128,"requirement_source":69,"confidence":70},27.09,40.64,69.09,{"minimum":130,"production":134,"recommended":138},{"scenario":62,"context_length":63,"batch_size":42,"weight_gb":131,"kv_cache_gb":65,"vram_gb":132,"ram_gb":67,"disk_gb":133,"requirement_source":69,"confidence":70},2.69,8.53,43.19,{"scenario":72,"context_length":73,"batch_size":36,"weight_gb":131,"kv_cache_gb":74,"vram_gb":135,"ram_gb":136,"disk_gb":137,"requirement_source":69,"confidence":70},145.5,218.24,108.19,{"scenario":79,"context_length":80,"batch_size":81,"weight_gb":131,"kv_cache_gb":82,"vram_gb":139,"ram_gb":140,"disk_gb":141,"requirement_source":69,"confidence":70},27.17,40.76,69.19,{"recommended":143,"cheapest":164,"performance":175,"min_complexity":190,"cluster_options":204,"no_match":205,"required_vram_gb":113,"candidate_count":206,"usage":207},{"gpu_model":144,"gpu_model_id":64,"gpu_count":42,"total_vram_gb":145,"hour_price":146,"monthly_cost":147,"providers":148,"bandwidth_gbps":153,"fp16_tflops":154,"interconnect_score":155,"parallel_efficiency":42,"score":156,"tier":157,"perf_metric":158,"perf_label":159,"perf_value":160,"workload":17,"cost_metric":161},"H100 SXM",80,1.7341,1265.89,[149,150,151,152],"vast","tensordock","lambda","runpod",3350,66.9,40,0.5777,"balanced","tok\u002Fs","1293.4 tok\u002Fs",1293.4,{"effective_value":162,"effective_unit":158,"capacity_factor":163},905.4,0.7,{"gpu_model":165,"gpu_model_id":166,"gpu_count":81,"total_vram_gb":67,"hour_price":167,"monthly_cost":168,"providers":169,"bandwidth_gbps":43,"fp16_tflops":43,"interconnect_score":155,"parallel_efficiency":170,"score":171,"tier":172,"perf_metric":158,"perf_label":173,"perf_value":43,"workload":17,"cost_metric":174},"Tesla V100",17,0.0489,71.39,[149],0.8,0.6206,"cheapest","0 tok\u002Fs",{"effective_value":43,"effective_unit":158,"capacity_factor":163},{"gpu_model":176,"gpu_model_id":177,"gpu_count":12,"total_vram_gb":178,"hour_price":179,"monthly_cost":180,"providers":181,"bandwidth_gbps":182,"fp16_tflops":183,"interconnect_score":155,"parallel_efficiency":184,"score":185,"tier":157,"perf_metric":158,"perf_label":186,"perf_value":187,"workload":17,"cost_metric":188},"H200 SXM",11,1128,3.5,20440,[151],4800,989,0.4,0.2197,"5930.5 tok\u002Fs",5930.5,{"effective_value":189,"effective_unit":158,"capacity_factor":163},4151.3,{"gpu_model":191,"gpu_model_id":192,"gpu_count":42,"total_vram_gb":193,"hour_price":194,"monthly_cost":195,"providers":196,"bandwidth_gbps":197,"fp16_tflops":198,"interconnect_score":155,"parallel_efficiency":42,"score":199,"tier":172,"perf_metric":158,"perf_label":200,"perf_value":201,"workload":17,"cost_metric":202},"RTX A6000",6,48,0.3622,264.41,[149,151],768,77,0.6403,"296.5 tok\u002Fs",296.5,{"effective_value":203,"effective_unit":158,"capacity_factor":163},207.5,[],false,26,"value",[209,213,220,228,236],{"name":191,"vram_gb":193,"cheapest_hour":194,"cost":210,"provider":149,"estimated_tps":201},{"hourly":194,"daily":211,"monthly":195,"yearly":212},8.69,3172.87,{"name":214,"vram_gb":145,"cheapest_hour":215,"cost":216,"provider":149,"estimated_tps":43},"A100 SXM4",0.3781,{"hourly":215,"daily":217,"monthly":218,"yearly":219},9.07,276.01,3312.16,{"name":221,"vram_gb":67,"cheapest_hour":222,"cost":223,"provider":149,"estimated_tps":227},"RTX 5090",0.4006,{"hourly":222,"daily":224,"monthly":225,"yearly":226},9.61,292.44,3509.26,691.9,{"name":229,"vram_gb":193,"cheapest_hour":230,"cost":231,"provider":149,"estimated_tps":235},"L40S",0.4415,{"hourly":230,"daily":232,"monthly":233,"yearly":234},10.6,322.3,3867.54,333.6,{"name":237,"vram_gb":145,"cheapest_hour":238,"cost":239,"provider":149,"estimated_tps":43},"A100 PCIE",0.4849,{"hourly":238,"daily":240,"monthly":241,"yearly":242},11.64,353.98,4247.72,{"posts_count":43,"benchmarks_count":43}]